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Charles Manski

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Arthur S. Goldberger & Charles F. Manski, 1995. "The Bell Curve: Review Article," Journal of Economic Literature, American Economic Association, vol. 33(2), pages 762-776, June.

    Mentioned in:

    1. In practice, Correlation Implies Causation
      by Eric Falkenstein in Falkenblog on 2011-09-01 18:00:00
    2. links for 2010-01-26
      by Brad DeLong in Grasping Reality with the Invisible Hand on 2010-01-26 14:04:37
    3. Brad Delong takes down the execrable Charles Murray
      by Richard K. Green in Richard's Real Estate and Urban Economics Blog on 2010-01-23 09:18:00
  2. Author Profile
    1. REPEC Issues a Monthly "Report Card" for Academic Economists
      by Matthew Kahn in Environmental and Urban Economics on 2016-12-05 03:41:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," Papers 2004.06178, arXiv.org.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Measurement
  2. Charles F. Manski, 2021. "Vaccination Planning under Uncertainty, with Application to Covid-19," NBER Working Papers 28446, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Immunization

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Mark D. Manuszak & Charles F. Manski & Sanghamitra Das, 2005. "Walk or wait? An empirical analysis of street crossing decisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 529-548.

    Mentioned in:

    1. Walk or wait? An empirical analysis of street crossing decisions (Journal of Applied Econometrics 2005) in ReplicationWiki ()
  2. Joseph Engelberg & Charles F. Manski & Jared Williams, 2011. "Assessing the temporal variation of macroeconomic forecasts by a panel of changing composition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(7), pages 1059-1078, November.

    Mentioned in:

    1. Assessing the temporal variation of macroeconomic forecasts by a panel of changing composition (Journal of Applied Econometrics 2011) in ReplicationWiki ()
  3. Jeff Dominitz & Charles F. Manski, 2011. "Measuring and interpreting expectations of equity returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 352-370, April.

    Mentioned in:

    1. Measuring and interpreting expectations of equity returns (Journal of Applied Econometrics 2011) in ReplicationWiki ()

Working papers

  1. Charles F. Manski & Aleksey Tetenov, 2023. "Statistical Decision Theory Respecting Stochastic Dominance," Papers 2308.05171, arXiv.org.

    Cited by:

    1. Jeff Dominitz & Charles F. Manski, 2024. "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers 2403.11016, arXiv.org.

  2. Stephen J. DeCanio & Charles F. Manski & Alan H. Sanstad, 2022. "Minimax-Regret Climate Policy with Deep Uncertainty in Climate Modeling and Intergenerational Discounting," Papers 2201.08826, arXiv.org.

    Cited by:

    1. Christian Gourieroux & Alain Monfort & Jean-Paul Renne, 2022. "Required Capital for Long-Run Risks," Post-Print hal-03865173, HAL.

  3. Charles F. Manski, 2022. "Identification and Statistical Decision Theory," Papers 2204.11318, arXiv.org, revised Mar 2024.

    Cited by:

    1. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Feb 2024.

  4. Charles F Manski & Michael Gmeiner & Anat Tamburc, 2021. "Misguided Use of Observed Covariates to Impute Missing Covariates in Conditional Prediction: A Shrinkage Problem," Papers 2102.11334, arXiv.org.

    Cited by:

    1. Charles F. Manski, 2022. "Inference with Imputed Data: The Allure of Making Stuff Up," Papers 2205.07388, arXiv.org.

  5. Charles F. Manski, 2021. "Probabilistic Prediction for Binary Treatment Choice: with focus on personalized medicine," Papers 2110.00864, arXiv.org.

    Cited by:

    1. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2023.
    2. Jeff Dominitz & Charles F. Manski, 2024. "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers 2403.11016, arXiv.org.
    3. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Feb 2024.
    4. Hannes Ullrich & Michael Allan Ribers, 2023. "Machine predictions and human decisions with variation in payoffs and skill: the case of antibiotic prescribing," Berlin School of Economics Discussion Papers 0027, Berlin School of Economics.

  6. Charles F. Manski, 2021. "Vaccination Planning under Uncertainty, with Application to Covid-19," NBER Working Papers 28446, National Bureau of Economic Research, Inc.

    Cited by:

    1. Goodkin-Gold, Matthew & Kremer, Michael & Snyder, Christopher M. & Williams, Heidi, 2022. "Optimal vaccine subsidies for endemic diseases," International Journal of Industrial Organization, Elsevier, vol. 84(C).
    2. L'aszl'o Czaller & GergH{o} T'oth & Bal'azs Lengyel, 2021. "Vaccine allocation to blue-collar workers," Papers 2104.04639, arXiv.org.

  7. Charles F. Manski & Alan H. Sanstad & Stephen J. DeCanio, 2021. "Addressing Partial Identification in Climate Modeling and Policy Analysis," NBER Working Papers 28449, National Bureau of Economic Research, Inc.

    Cited by:

    1. Shao, Dongrui & Chu, Junyu & Chen, Luonan & Ma, Huanfei, 2023. "Data assimilation with hybrid modeling," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    2. Stephen J. DeCanio & Charles F. Manski & Alan H. Sanstad, 2022. "Minimax-Regret Climate Policy with Deep Uncertainty in Climate Modeling and Intergenerational Discounting," NBER Working Papers 29716, National Bureau of Economic Research, Inc.

  8. Charles F. Manski & Aleksey Tetenov, 2020. "Statistical Decision Properties of Imprecise Trials Assessing COVID-19 Drugs," Papers 2006.00343, arXiv.org.

    Cited by:

    1. John Mullahy, 2020. "Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID-19 Clinical Trials," NBER Working Papers 27895, National Bureau of Economic Research, Inc.
    2. Depalo, Domenico, 2020. "True Covid-19 mortality rates from administrative data," GLO Discussion Paper Series 630, Global Labor Organization (GLO).
    3. John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1050-1069, May.

  9. Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," Papers 2004.06178, arXiv.org.

    Cited by:

    1. Fischer, Kai & Reade, J. James & Schmal, W. Benedikt, 2022. "What cannot be cured must be endured: The long-lasting effect of a COVID-19 infection on workplace productivity," Labour Economics, Elsevier, vol. 79(C).
    2. Seth M. Freedman & Daniel W. Sacks & Kosali I. Simon & Coady Wing, 2022. "Direct and indirect effects of vaccines: Evidence from COVID-19," NBER Working Papers 30550, National Bureau of Economic Research, Inc.
    3. Kent A. Smetters, 2020. "Stay-at-home orders and second waves: a graphical exposition," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 94-103, September.
    4. Jose Olmo & Marcos Sanso‐Navarro, 2021. "Modeling the spread of COVID‐19 in New York City," Papers in Regional Science, Wiley Blackwell, vol. 100(5), pages 1209-1229, October.
    5. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2022. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," Working Papers 22-18, Federal Reserve Bank of Philadelphia.
    6. Qichun He, 2020. "The COVID-19 Pandemic in a Monetary Schumpeterian Model," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 15(4), pages 626-641, December.
    7. Ichino, Andrea & Favero, Carlo A. & Rustichini, Aldo, 2020. "Restarting the economy while saving lives under Covid-19," CEPR Discussion Papers 14664, C.E.P.R. Discussion Papers.
    8. Cem Cakmakli & Yasin Simsek, 2023. "Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model," Papers 2301.13692, arXiv.org.
    9. Khan, Haider, 2020. "Economic Impact of COVID-19 On Bangladesh: Agenda for Immediate Action and Planning for the Future," MPRA Paper 100380, University Library of Munich, Germany.
    10. Fernández-Villaverde, Jesús & Arias, Jonas & Rubio-Ramírez, Juan Francisco & Shin, Minchul, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," CEPR Discussion Papers 15951, C.E.P.R. Discussion Papers.
    11. Rayhan & M. Abdullah-Al-Wadud & M. Helal Uddin Ahmed, 2023. "Assessing the global impact of COVID-19 vaccination," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(1), pages 478-484, January.
    12. Daniel W. Sacks & Nir Menachemi & Peter Embi & Coady Wing, 2020. "What can we learn about SARS-CoV-2 prevalence from testing and hospital data?," Papers 2008.00298, arXiv.org, revised Mar 2021.
    13. Shin KINOSHITA & Masayuki SATO & Takanori IDA, 2022. "Bayesian Probability Revision and Infection Prevention Behavior in Japan : A Quantitative Analysis of the First Wave of COVID-19," Discussion papers e-22-004, Graduate School of Economics , Kyoto University.
    14. Yothin Jinjarak & Rashad Ahmed & Sameer Nair-Desai & Weining Xin & Joshua Aizenman, 2020. "Accounting for Global COVID-19 Diffusion Patterns, January-April 2020," NBER Working Papers 27185, National Bureau of Economic Research, Inc.
    15. Charles F. Manski, 2020. "Bounding the Predictive Values of COVID-19 Antibody Tests," NBER Working Papers 27226, National Bureau of Economic Research, Inc.
    16. John Mullahy, 2020. "Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID-19 Clinical Trials," NBER Working Papers 27895, National Bureau of Economic Research, Inc.
    17. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline van den Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2020. "Socio-Demographic Factors Associated with Self-Protecting Behavior during the Covid-19 Pandemic," NBER Working Papers 27378, National Bureau of Economic Research, Inc.
    18. Theologos Dergiades & Costas Milas & Elias Mossialos & Theodore Panagiotidis, 2021. "Effectiveness of Government Policies in Response to the COVID-19 Outbreak," Discussion Paper Series 2021_05, Department of Economics, University of Macedonia, revised Feb 2021.
    19. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
    20. Pablo D. Fajgelbaum & Amit Khandelwal & Wookun Kim & Cristiano Mantovani & Edouard Schaal, 2021. "Optimal Lockdown in a Commuting Network," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 503-522, December.
    21. Michael Barnett & Greg Buchak & Constantine Yannelis, 2020. "Epidemic Responses Under Uncertainty," Working Papers 2020-72, Becker Friedman Institute for Research In Economics.
    22. Cem Cakmaklı & Yasin Simsek, 2020. "Bridging the COVID-19 Data and the Epidemiological Model using Time Varying Parameter SIRD Model," Working Paper series 20-23, Rimini Centre for Economic Analysis, revised Feb 2021.
    23. Nail Kashaev, 2022. "Estimation of Parametric Binary Outcome Models with Degenerate Pure Choice-Based Data with Application to COVID-19-Positive Tests from British Columbia," University of Western Ontario, Departmental Research Report Series 20225, University of Western Ontario, Department of Economics.
    24. Carlos Garriga & Rodolfo E. Manuelli & Siddhartha Sanghi, 2022. "Optimal Management of an Epidemic: Lockdown, Vaccine and Value of Life," Working Papers 2020-046, Federal Reserve Bank of St. Louis.
    25. Allan Dizioli & Roberto Pinheiro, 2021. "How Sure Can We Be about a COVID-19 Test Result if the Tests Are Not Perfectly Accurate?," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2021(12), pages 1-4, May.
    26. Karl M. Aspelund & Michael C. Droste & James H. Stock & Christopher D. Walker, 2020. "Identification and Estimation of Undetected COVID-19 Cases Using Testing Data from Iceland," NBER Working Papers 27528, National Bureau of Economic Research, Inc.
    27. Daron Acemoglu & Victor Chernozhukov & Iván Werning & Michael D. Whinston, 2020. "Optimal Targeted Lockdowns in a Multi-Group SIR Model," NBER Working Papers 27102, National Bureau of Economic Research, Inc.
    28. Sokbae (Simon) Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020. "Sparse HP filter: Finding kinks in the COVID-19 contact rate," CeMMAP working papers CWP32/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Daron Acemoglu & Victor Chernozhukov & Ivàn Werning & Michael D. Whinston, 2020. "A Multi-Risk SIR Model with Optimally Targeted Lockdown," CeMMAP working papers CWP14/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    30. Gourieroux, C. & Jasiak, J., 2023. "Time varying Markov process with partially observed aggregate data: An application to coronavirus," Journal of Econometrics, Elsevier, vol. 232(1), pages 35-51.
    31. Andrew T. Levin & William P. Hanage & Nana Owusu-Boaitey & Kensington B. Cochran & Seamus P. Walsh & Gideon Meyerowitz-Katz, 2020. "Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Systematic Review, Meta-analysis, & Public Policy Implications," NBER Working Papers 27597, National Bureau of Economic Research, Inc.
    32. Callaway, Brantly & Li, Tong, 2023. "Policy evaluation during a pandemic," Journal of Econometrics, Elsevier, vol. 236(1).
    33. Toulis, Panos, 2021. "Estimation of Covid-19 prevalence from serology tests: A partial identification approach," Journal of Econometrics, Elsevier, vol. 220(1), pages 193-213.
    34. Masashige Hamano & Munechika Katayama & So Kubota, 2020. "COVID-19 Misperception and Macroeconomy," Working Papers 2016, Waseda University, Faculty of Political Science and Economics.
    35. Zakharov, Nikita, 2020. "The protective effect of smoking against COVID-19: A population-based study using instrumental variables," MPRA Paper 101267, University Library of Munich, Germany.
    36. Depalo, Domenico, 2020. "True Covid-19 mortality rates from administrative data," GLO Discussion Paper Series 630, Global Labor Organization (GLO).
    37. Toru Kitagawa & Guanyi Wang, 2020. "Who Should Get Vaccinated? Individualized Allocation of Vaccines Over SIR Network," Papers 2012.04055, arXiv.org, revised Jul 2021.
    38. Jonas E. Arias & Jesús Fernández-Villaverde & Juan Rubio Ramírez & Minchul Shin, 2021. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," NBER Working Papers 28617, National Bureau of Economic Research, Inc.
    39. La Torre, Davide & Liuzzi, Danilo & Marsiglio, Simone, 2021. "Epidemics and macroeconomic outcomes: Social distancing intensity and duration," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    40. Toru Kitagawa & Guanyi Wang, 2020. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP59/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    41. Robert S. Pindyck, 2020. "COVID-19 and the Welfare Effects of Reducing Contagion," NBER Working Papers 27121, National Bureau of Economic Research, Inc.
    42. Juergen Jung & James Manley & Vinish Shrestha, 2020. "Coronavirus Infections and Deaths by Poverty Status: The Effects of Social Distancing," Working Papers 2020-03, Towson University, Department of Economics, revised Dec 2020.
    43. Badi H. Baltagi & Ying Deng & Jing Li & Zhenlin Yang, 2022. "Cities in a Pandemic: Evidence from China," Center for Policy Research Working Papers 251, Center for Policy Research, Maxwell School, Syracuse University.
    44. Valentina Aprigliano & Alessandro Borin & Francesco Paolo Conteduca & Simone Emiliozzi & Marco Flaccadoro & Sabina Marchetti & Stefania Villa, 2021. "Forecasting Italian GDP growth with epidemiological data," Questioni di Economia e Finanza (Occasional Papers) 664, Bank of Italy, Economic Research and International Relations Area.
    45. Chen, Xi & Qiu, Yun & Shi, Wei & Yu, Pei, 2022. "Key Links in Network Interactions: Assessing Route-Specific Travel Restrictions in China during the COVID-19 Pandemic," IZA Discussion Papers 15038, Institute of Labor Economics (IZA).
    46. Lucas Bretschger & Elise Grieg & Paul J. J. Welfens & Tian Xiong, 2020. "COVID-19 infections and fatalities developments: empirical evidence for OECD countries and newly industrialized economies," International Economics and Economic Policy, Springer, vol. 17(4), pages 801-847, October.
    47. Millimet, Daniel L. & Parmeter, Christopher F., 2021. "COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths," IZA Discussion Papers 14116, Institute of Labor Economics (IZA).
    48. Blas A. Marin-Lopez & David Jimenez-Gomez & José-María Abellán-Perpiñán, 2022. "Behavioral Economics in the Epidemiology of the COVID-19 Pandemic: Theory and Simulations," IJERPH, MDPI, vol. 19(15), pages 1-23, August.
    49. Franco Peracchi & Daniele Terlizzese, 2020. "Estimating the prevalence of the COVID-19 infection, with an application to Italy," EIEF Working Papers Series 2013, Einaudi Institute for Economics and Finance (EIEF), revised May 2020.
    50. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    51. Panos Toulis, 2020. "Estimation of Covid-19 Prevalence from Serology Tests: A Partial Identification Approach," Papers 2006.16214, arXiv.org.
    52. Jörg Stoye, 2022. "Bounding infection prevalence by bounding selectivity and accuracy of tests: with application to early COVID-19 [False-negative results of initial RT-PCR assays for COVID-19: a systematic review]," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 1-14.
    53. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.
    54. Bollinger, Christopher R. & van Hasselt, Martijn, 2020. "Estimating the cumulative rate of SARS-CoV-2 infection," Economics Letters, Elsevier, vol. 197(C).
    55. Korolev, Ivan, 2021. "Identification and estimation of the SEIRD epidemic model for COVID-19," Journal of Econometrics, Elsevier, vol. 220(1), pages 63-85.
    56. Adak, Debadatta & Majumder, Abhijit & Bairagi, Nandadulal, 2021. "Mathematical perspective of Covid-19 pandemic: Disease extinction criteria in deterministic and stochastic models," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    57. Ziyuan Xia & Jeffery Chen & Anchen Sun, 2021. "Mining the Relationship Between COVID-19 Sentiment and Market Performance," Papers 2101.02587, arXiv.org, revised Mar 2023.
    58. Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    59. Charles F. Manski, 2021. "Vaccination Planning under Uncertainty, with Application to Covid-19," NBER Working Papers 28446, National Bureau of Economic Research, Inc.
    60. Guccio, Calogero, 2021. "Measuring resilience and fatality rate during the first wave of COVID-19 pandemic in Northern Italy: a note," EconStor Preprints 231374, ZBW - Leibniz Information Centre for Economics.
    61. Cai, Junyang & Zhou, Jian, 2022. "How many asymptomatic cases were unconfirmed in the US COVID-19 pandemic? The evidence from a serological survey," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    62. Mauro Caselli & Andrea Fracasso & Sergio Scicchitano, 2022. "From the lockdown to the new normal: individual mobility and local labor market characteristics following the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1517-1550, October.
    63. Francesco Flaviano Russo, 2020. "Testing Policies During an Epidemic," CSEF Working Papers 591, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    64. Liu, Xingfei & Wang, Chuhong & Yan, Zizhong & Zhao, Yi, 2022. "Higher Education Expansion and Crime: New Evidence from China," Working Papers 2022-2, University of Alberta, Department of Economics.
    65. John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1050-1069, May.
    66. Huberts, Nick F.D. & Thijssen, Jacco J.J., 2023. "Optimal timing of non-pharmaceutical interventions during an epidemic," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1366-1389.
    67. Panos Toulis, 2020. "Estimation of COVID-19 Prevalence from Serology Tests: A Partial Identification Approach," Working Papers 2020-54_Revised, Becker Friedman Institute for Research In Economics.

  10. Charles F. Manski, 2020. "Bounding the Predictive Values of COVID-19 Antibody Tests," NBER Working Papers 27226, National Bureau of Economic Research, Inc.

    Cited by:

    1. John Mullahy, 2020. "Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID-19 Clinical Trials," NBER Working Papers 27895, National Bureau of Economic Research, Inc.
    2. Sokbae (Simon) Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020. "Sparse HP filter: Finding kinks in the COVID-19 contact rate," CeMMAP working papers CWP32/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Depalo, Domenico, 2020. "True Covid-19 mortality rates from administrative data," GLO Discussion Paper Series 630, Global Labor Organization (GLO).
    4. Bollinger, Christopher R. & van Hasselt, Martijn, 2020. "Estimating the cumulative rate of SARS-CoV-2 infection," Economics Letters, Elsevier, vol. 197(C).
    5. Mudassir Khalil & Ahmad Naeem & Rizwan Ali Naqvi & Kiran Zahra & Syed Atif Moqurrab & Seung-Won Lee, 2023. "Deep Learning-Based Classification of Abrasion and Ischemic Diabetic Foot Sores Using Camera-Captured Images," Mathematics, MDPI, vol. 11(17), pages 1-21, September.

  11. Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.

    Cited by:

    1. Isaiah Andrews & Jesse M. Shapiro, 2021. "A Model of Scientific Communication," Econometrica, Econometric Society, vol. 89(5), pages 2117-2142, September.

  12. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.

    Cited by:

    1. Karun Adusumilli, 2022. "How to sample and when to stop sampling: The generalized Wald problem and minimax policies," Papers 2210.15841, arXiv.org, revised Feb 2024.
    2. Manski, Charles F., 2023. "Probabilistic prediction for binary treatment choice: With focus on personalized medicine," Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
    3. Bernhard Kasberger & Kyle Woodward, 2021. "Bidding in Multi-Unit Auctions under Limited Information," Papers 2112.11320, arXiv.org, revised Apr 2023.
    4. Keisuke Hirano, 2023. "A Comment on: “Invidious Comparisons: Ranking and Selection as Compound Decisions” by Jiaying Gu and Roger Koenker," Econometrica, Econometric Society, vol. 91(1), pages 43-46, January.
    5. Philipp Eisenhauer & Lena Janys & Christopher Walsh & Janós Gabler, 2023. "Structural Models for Policy-Making," CRC TR 224 Discussion Paper Series crctr224_2023_484, University of Bonn and University of Mannheim, Germany.
    6. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2023.
    7. Maximilian Blesch & Philipp Eisenhauer, 2021. "Robust decision-making under risk and ambiguity," Papers 2104.12573, arXiv.org, revised Oct 2021.
    8. Jeff Dominitz & Charles F. Manski, 2024. "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers 2403.11016, arXiv.org.
    9. Charles F. Manski & Aleksey Tetenov, 2023. "Statistical Decision Theory Respecting Stochastic Dominance," Papers 2308.05171, arXiv.org.
    10. Patrick Kline, 2023. "A Comment on: “Invidious Comparisons: Ranking and Selection as Compound Decisions” by Jiaying Gu and Roger Koenker," Econometrica, Econometric Society, vol. 91(1), pages 47-52, January.
    11. Raffaella Giacomini & Sokbae Lee & Silvia Sarpietro, 2023. "A Robust Method for Microforecasting and Estimation of Random Effects," Working Paper Series WP 2023-26, Federal Reserve Bank of Chicago.
    12. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Feb 2024.
    13. Maximilian Blesch & Philipp Eisenhauer, 2023. "Robust Decision-Making under Risk and Ambiguity," Rationality and Competition Discussion Paper Series 463, CRC TRR 190 Rationality and Competition.
    14. Charles F. Manski, 2023. "Using Limited Trial Evidence to Credibly Choose Treatment Dosage when Efficacy and Adverse Effects Weakly Increase with Dose," Papers 2305.17206, arXiv.org.
    15. Charles F. Manski, 2022. "Identification and Statistical Decision Theory," Papers 2204.11318, arXiv.org, revised Mar 2024.
    16. Philipp Eisenhauer & Janos Gabler & Lena Janys, 2021. "Structural Models for Policy-Making: Coping with Parametric Uncertainty," ECONtribute Discussion Papers Series 082, University of Bonn and University of Cologne, Germany.
    17. Eisenhauer, Philipp & Gabler, Janos & Janys, Lena, 2021. "Structural Models for Policy-Making: Coping with Parametric Uncertainty," IZA Discussion Papers 14317, Institute of Labor Economics (IZA).
    18. Seungjin Han & Julius Owusu & Youngki Shin, 2022. "Statistical Treatment Rules under Social Interaction," Papers 2209.09077, arXiv.org, revised Nov 2022.
    19. Xiaoyu Cheng, 2023. "Improving Robust Decisions with Data," Papers 2310.16281, arXiv.org, revised Feb 2024.
    20. Philipp Eisenhauer & Jano's Gabler & Lena Janys & Christopher Walsh, 2021. "Structural models for policy-making: Coping with parametric uncertainty," Papers 2103.01115, arXiv.org, revised Jun 2022.
    21. Maximilian Blesch & Philipp Eisenhauer, 2021. "Robust Decision-Making Under Risk and Ambiguity," ECONtribute Discussion Papers Series 104, University of Bonn and University of Cologne, Germany.

  13. Charles F. Manski, 2019. "Remarks on statistical inference for statistical decisions," CeMMAP working papers CWP06/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Isaiah Andrews & Jesse M. Shapiro, 2021. "A Model of Scientific Communication," Econometrica, Econometric Society, vol. 89(5), pages 2117-2142, September.

  14. Pamela Giustinelli & Charles F. Manski & Francesca Molinari, 2019. "Precise or Imprecise Probabilities? Evidence from Survey Response on Late-onset Dementia," NBER Working Papers 26125, National Bureau of Economic Research, Inc.

    Cited by:

    1. Yifan Gong & Ralph Stinebrickner & Todd R. Stinebrickner, 2019. "Marriage, Children, and Labor Supply: Beliefs and Outcomes," NBER Working Papers 26334, National Bureau of Economic Research, Inc.
    2. Jane Greve & Morten Saaby & Anders Rosdahl & Vibeke Tornhøj Christensen, 2021. "Uncertain occupational expectations at age 19 and later educational and labour market outcomes," LABOUR, CEIS, vol. 35(2), pages 163-191, June.
    3. Emanuele Ciani & Adeline Delavande & Ben Etheridge & Marco Francesconi, 2019. "Policy Uncertainty and Information Flows: Evidence from Pension Reform Expectations," CESifo Working Paper Series 7851, CESifo.
    4. Pamela Giustinelli & Matthew D. Shapiro, 2018. "SeaTE: Subjective ex ante Treatment Effect of Health on Retirement," Working Papers wp382, University of Michigan, Michigan Retirement Research Center.
    5. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Kirby Nielsen & Luca Rigotti, 2022. "Revealed Incomplete Preferences," Papers 2205.08584, arXiv.org, revised Oct 2022.
    7. Thomas Crossley & Yifan Gong & Todd Stinebrickner & Ralph Stinebrickner, 2021. "Examining income expectations in the college and early post-college periods: new distributional tests of rational expectations," IFS Working Papers W21/01, Institute for Fiscal Studies.
    8. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    9. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Yifan Gong & Todd Stinebrickner & Ralph Stinebrickner, 2020. "Perceived and actual option values of college enrollment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 940-959, November.

  15. Charles F. Manski, 2018. "The Lure of Incredible Certitude," NBER Working Papers 24905, National Bureau of Economic Research, Inc.

    Cited by:

    1. John Mullahy, 2022. "Investigating health-related time use with partially observed data," Review of Economics of the Household, Springer, vol. 20(1), pages 103-121, March.
    2. Eduardo Fé, 2021. "Pension eligibility rules and the local causal effect of retirement on cognitive functioning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 812-841, July.
    3. John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1050-1069, May.

  16. Pamela Giustinelli & Charles F. Manski & Francesca Molinari, 2018. "Tail and Center Rounding of Probabilistic Expectations in the Health and Retirement Study," NBER Working Papers 24559, National Bureau of Economic Research, Inc.

    Cited by:

    1. Emanuele Ciani & Adeline Delavande & Ben Etheridge & Marco Francesconi, 2019. "Policy Uncertainty and Information Flows: Evidence from Pension Reform Expectations," CESifo Working Paper Series 7851, CESifo.
    2. Alessandro Mistretta & Francesco Zollino, 2021. "Recent Trends in Economic Activity and TFP in Italy with a Focus on Embodied Technical Progress," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 79-107, March.
    3. Pistaferri, Luigi, 2019. "Reported MPC and Unobserved Heterogeneity," CEPR Discussion Papers 14083, C.E.P.R. Discussion Papers.
    4. Robert S. Pindyck, 2016. "The Social Cost of Carbon Revisited," NBER Working Papers 22807, National Bureau of Economic Research, Inc.
    5. Artūras Juodis & Simas Kučinskas, 2023. "Quantifying noise in survey expectations," Quantitative Economics, Econometric Society, vol. 14(2), pages 609-650, May.
    6. Daniel J. Benjamin & Kristen Cooper & Ori Heffetz & Miles S. Kimball & Jiannan Zhou, 2023. "Adjusting for Scale-Use Heterogeneity in Self-Reported Well-Being," NBER Working Papers 31728, National Bureau of Economic Research, Inc.
    7. Kerwin, Jason & Pandey, Divya, 2023. "Navigating Ambiguity: Imprecise Probabilities and the Updating of Disease Risk Beliefs," IZA Discussion Papers 16478, Institute of Labor Economics (IZA).
    8. Heiss, Florian & Hurd, Michael & Rossmann, Tobias & Winter, Joachim & van Rooij, Maarten, 2019. "Dynamics and Heterogeneity of Subjective Stock Market Expectations," Rationality and Competition Discussion Paper Series 157, CRC TRR 190 Rationality and Competition.
    9. Daniel J. Benjamin, 2018. "Errors in Probabilistic Reasoning and Judgment Biases," GRU Working Paper Series GRU_2018_023, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    10. Conti, G. & Giustinelli, P., 2023. "For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior: An application to lockdown compliance in the United Kingdom," Health, Econometrics and Data Group (HEDG) Working Papers 23/05, HEDG, c/o Department of Economics, University of York.
    11. Koşar, Gizem & Ransom, Tyler & van der Klaauw, Wilbert, 2019. "Understanding Migration Aversion Using Elicited Counterfactual Choice Probabilities," IZA Discussion Papers 12271, Institute of Labor Economics (IZA).
    12. Conti, Gabriella & Giustinelli, Pamela, 2023. "For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior," IZA Discussion Papers 16143, Institute of Labor Economics (IZA).
    13. Daniel J. Benjamin & Kristen Cooper & Ori Heffetz & Miles S. Kimball, 2023. "From Happiness Data to Economic Conclusions," NBER Working Papers 31727, National Bureau of Economic Research, Inc.
    14. Chiara Binelli, 2019. "Employment and Earnings Expectations of Jobless Young Skilled: Evidence from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 201-231, August.
    15. Alessandro Mistretta & Francesco Zollino, 0. "Recent Trends in Economic Activity and TFP in Italy with a Focus on Embodied Technical Progress," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 0, pages 1-29.
    16. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    17. Giovanni Immordino & Tullio Jappelli & Tommaso Oliviero, 2024. "Consumption and income expectations during Covid-19," Review of Economics of the Household, Springer, vol. 22(1), pages 95-116, March.

  17. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.

    Cited by:

    1. Christelis, Dimitris & Georgarakos, Dimitris & Jappelli, Tullio & Pistaferri, Luigi & Rooij, Maarten van, 2021. "Heterogeneous wealth effects," European Economic Review, Elsevier, vol. 137(C).
    2. Christopher Roth & Johannes Wohlfart, 2020. "How Do Expectations about the Macroeconomy Affect Personal Expectations and Behavior?," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 731-748, October.
    3. Goldfayn-Frank, Olga & Kieren, Pascal & Trautmann, Stefan, 2024. "A Choice-Based Approach to the Measurement of Inflation Expectations," Working Papers 0742, University of Heidelberg, Department of Economics.
    4. Goldfayn-Frank, Olga & Wohlfart, Johannes, 2018. "How do consumers adapt to a new environment in their economic forecasting? Evidence from the German reunification," IMFS Working Paper Series 129, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    5. David Altig & Jose Maria Barrero & Nicholas Bloom & Steven J. Davis & Brent H. Meyer & Nicholas Parker, 2019. "Surveying Business Uncertainty," NBER Working Papers 25956, National Bureau of Economic Research, Inc.
    6. Breunig, Christoph & Grabova, Iuliia & Haan, Peter & Weinhardt, Felix & Weizsäcker, Georg, 2019. "Long-run Expectations of Households," Rationality and Competition Discussion Paper Series 218, CRC TRR 190 Rationality and Competition.
    7. Fernando Borraz & Laura Zacheo, 2018. "Inattention, Disagreement and Internal (In)Consistency of Inflation Forecasts," Documentos de trabajo 2018007, Banco Central del Uruguay.
    8. Michael Haliassos & Hector F. CALVO PARDO & Chryssi Giannitsarou & Luc Arrondel, 2016. "Informative Social Interactions," 2016 Meeting Papers 636, Society for Economic Dynamics.
    9. Dovern, Jonas & Glas, Alexander & Kenny, Geoff, 2023. "Testing for differences in survey-based density expectations: a compositional data approach," Working Paper Series 2791, European Central Bank.
    10. Olkhov, Victor, 2018. "Expectations, Price Fluctuations and Lorenz Attractor," MPRA Paper 89105, University Library of Munich, Germany.
    11. Olkhov, Victor, 2019. "New Essentials of Economic Theory," MPRA Paper 95065, University Library of Munich, Germany.
    12. Francesco D’Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2019. "IQ, Expectations, and Choice," NBER Working Papers 25496, National Bureau of Economic Research, Inc.
    13. Xiaohong Chen & Lars P. Hansen & Peter G. Hansen, 2020. "Robust Identification of Investor Beliefs," Cowles Foundation Discussion Papers 2236, Cowles Foundation for Research in Economics, Yale University.
    14. Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana, 2020. "Uncertainty Shocks and Business Cycle Research," NBER Working Papers 26768, National Bureau of Economic Research, Inc.
    15. Clements, Michael P., 2019. "Do forecasters target first or later releases of national accounts data?," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1240-1249.
    16. Foster, Gigi & Frijters, Paul & Schaffner, Markus & Torgler, Benno, 2018. "Expectation formation in an evolving game of uncertainty: New experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 379-405.
    17. Artūras Juodis & Simas Kučinskas, 2023. "Quantifying noise in survey expectations," Quantitative Economics, Econometric Society, vol. 14(2), pages 609-650, May.
    18. Victor Aguirregabiria & Jihye Jeon, 2020. "Firms’ Beliefs and Learning: Models, Identification, and Empirical Evidence," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 203-235, March.
    19. Giustinelli, Pamela & Manski, Charles F. & Molinari, Francesca, 2022. "Tail and center rounding of probabilistic expectations in the Health and Retirement Study," Journal of Econometrics, Elsevier, vol. 231(1), pages 265-281.
    20. Grewenig, Elisabeth & Werner, Katharina & Woessmann, Ludger & Lergetporer, Philipp, 2019. "Incentives, Search Engines, and the Elicitation of Subjective Beliefs: Evidence from Representative Online Survey Experiments," IZA Discussion Papers 12217, Institute of Labor Economics (IZA).
    21. John R. Graham, 2022. "Presidential Address: Corporate Finance and Reality," Journal of Finance, American Finance Association, vol. 77(4), pages 1975-2049, August.
    22. Victor Olkhov, 2020. "Price, Volatility and the Second-Order Economic Theory," Papers 2009.14278, arXiv.org, revised Apr 2021.
    23. Heiss, Florian & Hurd, Michael & Rossmann, Tobias & Winter, Joachim & van Rooij, Maarten, 2019. "Dynamics and Heterogeneity of Subjective Stock Market Expectations," Rationality and Competition Discussion Paper Series 157, CRC TRR 190 Rationality and Competition.
    24. Goldfayn-Frank, Olga & Wohlfart, Johannes, 2019. "How Do Consumers Adapt to a New Environment in their economic forecasting? Evidence from the German Reunification," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203668, Verein für Socialpolitik / German Economic Association.
    25. MORIKAWA Masayuki, 2022. "Uncertainty of Firms' Medium-term Outlook during the COVID-19 Pandemic," Discussion papers 22079, Research Institute of Economy, Trade and Industry (RIETI).
    26. Christopher Roth & Sonja Settele & Johannes Wohlfart, 2020. "Beliefs About Public Debt and the Demand for Government Spending," CEBI working paper series 20-05, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    27. Iliopulos, Eleni & Perego, Erica & Sopraseuth, Thepthida, 2021. "International business cycles: Information matters," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 19-34.
    28. Peter Andre & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Narratives about the Macroeconomy," CEBI working paper series 21-18, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    29. Victor Olkhov, 2020. "Classical Option Pricing and Some Steps Further," Papers 2004.13708, arXiv.org, revised Feb 2021.
    30. Christian Stoltenberg & Arne Uhlendorf, 2022. "Consumption Choices and Earnings Expectations: Empirical Evidence and Structural Estimation," Working Papers 2022-15, Center for Research in Economics and Statistics.
    31. Klaus Adam & Dmitry Matveev & Stefan Nagel, 2019. "Do Survey Expectations of Stock Returns Reflect Risk-Adjustments?," 2019 Meeting Papers 641, Society for Economic Dynamics.
    32. Becker, Christoph & Duersch, Peter & Eife, Thomas, 2023. "Measuring Inflation Expectations: How the Response Scale Shapes Density Forecasts," Working Papers 0723, University of Heidelberg, Department of Economics.
    33. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    34. Olkhov, Victor, 2018. "Economic Transactions Govern Business Cycles," MPRA Paper 88531, University Library of Munich, Germany, revised 19 Aug 2018.
    35. Victor Olkhov, 2022. "Why Economic Theories and Policies Fail? Unnoticed Variables and Overlooked Economics," Papers 2208.07839, arXiv.org.
    36. Sorić, Petar & Lolić, Ivana & Claveria, Oscar & Monte, Enric & Torra, Salvador, 2019. "Unemployment expectations: A socio-demographic analysis of the effect of news," Labour Economics, Elsevier, vol. 60(C), pages 64-74.
    37. J. van den Berg, Gerard & Kunaschk, Max & Lang, Julia & Stephan, Gesine & Uhlendorff, Arne, 2023. "Predicting re-employment: machine learning versus assessments by unemployed workers and by their caseworkers," Working Paper Series 2023:22, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    38. Pamela Giustinelli & Matthew D. Shapiro, 2018. "SeaTE: Subjective ex ante Treatment Effect of Health on Retirement," Working Papers wp382, University of Michigan, Michigan Retirement Research Center.
    39. Fezzi, Carlo & Menapace, Luisa & Raffaelli, Roberta, 2021. "Estimating risk preferences integrating insurance choices with subjective beliefs," European Economic Review, Elsevier, vol. 135(C).
    40. Daniel J. Benjamin, 2018. "Errors in Probabilistic Reasoning and Judgment Biases," GRU Working Paper Series GRU_2018_023, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    41. Olkhov, Victor, 2019. "New essentials of economic theory II. Economic transactions, expectations and asset pricing," MPRA Paper 93428, University Library of Munich, Germany.
    42. Simón Sosvilla-Rivero & María del Carmen Ramos-Herrera, 2018. "Inflation, real economic growth and unemployment expectations: an empirical analysis based on the ECB survey of professional forecasters," Applied Economics, Taylor & Francis Journals, vol. 50(42), pages 4540-4555, September.
    43. Olkhov, Victor, 2021. "Theoretical Economics and the Second-Order Economic Theory. What is it?," MPRA Paper 110893, University Library of Munich, Germany.
    44. Olkhov, Victor, 2019. "New Essentials of Economic Theory III. Economic Applications," MPRA Paper 94053, University Library of Munich, Germany.
    45. Zhao, Yongchen, 2024. "Uncertainty of household inflation expectations: Reconciling point and density forecasts," Economics Letters, Elsevier, vol. 234(C).
    46. Brückbauer, Frank, 2022. "Do financial market experts know their theory? New evidence from survey data," ZEW Discussion Papers 20-092, ZEW - Leibniz Centre for European Economic Research, revised 2022.
    47. Maarten Meeuwis & Jonathan A. Parker & Antoinette Schoar & Duncan I. Simester, 2018. "Belief Disagreement and Portfolio Choice," NBER Working Papers 25108, National Bureau of Economic Research, Inc.
    48. Crossley, Thomas F. & Gong, Yifan & Stinebrickner, Ralph & Stinebrickner, Todd, 2022. "The ex post accuracy of subjective beliefs: A new measure and decomposition," Economics Letters, Elsevier, vol. 210(C).
    49. Dovern, Jonas & Müller, Lena Sophia & Wohlrabe, Klaus, 2023. "Local information and firm expectations about aggregates," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 1-13.
    50. Tao Wang, 2023. "Perceived versus Calibrated Income Risks in Heterogeneous-Agent Consumption Models," Staff Working Papers 23-59, Bank of Canada.
    51. Ori Heffetz & Guy Ishai, 2021. "Which Beliefs? Behavior-Predictive Beliefs are Inconsistent with Information-Based Beliefs: Evidence from COVID-19," NBER Working Papers 29452, National Bureau of Economic Research, Inc.
    52. Eyting, Markus & Schmidt, Patrick, 2021. "Belief elicitation with multiple point predictions," European Economic Review, Elsevier, vol. 135(C).
    53. Lena Dräger & Michael J. Lamla & Michael Lamla, 2023. "Consumers' Macroeconomic Expectations," CESifo Working Paper Series 10709, CESifo.
    54. Anmol Bhandari & Jaroslav Borovicka & Paul Ho, 2019. "Survey Data and Subjective Beliefs in Business Cycle Models," Working Paper 19-14, Federal Reserve Bank of Richmond.
    55. Victor Olkhov, 2019. "Econophysics of Asset Price, Return and Multiple Expectations," Papers 1901.05024, arXiv.org, revised Sep 2020.
    56. Alfarano, Simone & Camacho-Cuena, Eva & Colasante, Annarita & Ruiz-Buforn, Alba, 2022. "The effect of time-varying fundamentals in Learning-to-Forecast Experiments," MPRA Paper 113086, University Library of Munich, Germany.
    57. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    58. Friehe, Tim & Pannenberg, Markus, 2021. "Time preferences and overconfident beliefs: Evidence from germany," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 92(C).
    59. Barrero, Jose Maria, 2022. "The micro and macro of managerial beliefs," Journal of Financial Economics, Elsevier, vol. 143(2), pages 640-667.
    60. Conrad, Christian & Lahiri, Kajal, 2023. "Heterogeneous expectations among professional forecasters," ZEW Discussion Papers 23-062, ZEW - Leibniz Centre for European Economic Research.
    61. Chiara Binelli, 2019. "Employment and Earnings Expectations of Jobless Young Skilled: Evidence from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 201-231, August.
    62. Rossmann, Tobias, 2019. "Economic Uncertainty and Subjective Inflation Expectations," Rationality and Competition Discussion Paper Series 160, CRC TRR 190 Rationality and Competition.
    63. Dimitris Christelis & Dimitris Georgarakos & Tullio Jappelli & Luigi Pistaferri & Maarten van Rooij, 2019. "Wealth Shocks and MPC Heterogeneity," CSEF Working Papers 531, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    64. Dimitris Christelis & Dimitris Georgarakos & Tullio Jappelli & Maarten van Rooij, 2020. "Consumption Uncertainty and Precautionary Saving," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 148-161, March.
    65. Giuseppe Rose & Desiré De Luca, 2024. "Health Concerns And Consumption Expectations During Covid-19: Evidence From A Fuzzy Regression Discontinuity Design," Working Papers 202401, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    66. Olkhov, Victor, 2022. "Economic Policy - the Forth Dimension of the Economic Theory," MPRA Paper 112685, University Library of Munich, Germany.
    67. Sarantis Tsiaplias & Qi Zeng & Guay C. Lim, 2023. "Retail Investor Trading Intentions: New Evidence from Australia," The Economic Record, The Economic Society of Australia, vol. 99(327), pages 512-535, December.
    68. John Ameriks & Gábor Kézdi & Minjoon Lee & Matthew D. Shapiro, 2020. "Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 633-646, July.
    69. Sarantis Tsiaplias & Qi Zeng & Guay Lim, 2021. "Retail investor expectations and trading preferences," Melbourne Institute Working Paper Series wp2021n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    70. Olkhov, Victor, 2018. "Economic and Financial Transactions Govern Business Cycles," MPRA Paper 93269, University Library of Munich, Germany.
    71. Olkhov, Victor, 2019. "Methods of Economic Theory: Variables, Transactions and Expectations as Functions of Risks," MPRA Paper 95628, University Library of Munich, Germany.
    72. Scott R. Baker & Tucker S. McElroy & Xuguang S. Sheng, 2020. "Expectation Formation Following Large, Unexpected Shocks," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 287-303, May.
    73. MORIKAWA Masayuki, 2019. "Firms' Subjective Uncertainty and Forecast Errors," Discussion papers 19055, Research Institute of Economy, Trade and Industry (RIETI).
    74. Giovanni Immordino & Tullio Jappelli & Tommaso Oliviero, 2024. "Consumption and income expectations during Covid-19," Review of Economics of the Household, Springer, vol. 22(1), pages 95-116, March.
    75. Dovern, Jonas, 2024. "Eliciting expectation uncertainty from private households," International Journal of Forecasting, Elsevier, vol. 40(1), pages 113-123.
    76. Hanna Freudenreich & Sindu W. Kebede, 2022. "Experience of shocks, household wealth and expectation formation: Evidence from smallholder farmers in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 756-774, September.
    77. Florian Peters & Simas Kucinskas, 2018. "Measuring Biases in Expectation Formation," Tinbergen Institute Discussion Papers 18-058/IV, Tinbergen Institute.
    78. Adelino, Manuel & Schoar, Antoinette & Severino, Felipe, 2018. "Perception of House Price Risk and Homeownership," CEPR Discussion Papers 13195, C.E.P.R. Discussion Papers.
    79. MORIKAWA Masayuki, 2022. "Firms' Knightian Uncertainty during the COVID-19 Crisis," Discussion papers 22089, Research Institute of Economy, Trade and Industry (RIETI).
    80. Sarah Goldman & Shouyi Zhang, 2022. "Quantitative Easing, Households' Savings and Growth: A Luxembourgish Case Study," Post-Print hal-04080189, HAL.
    81. Boeck, Maximilian & Feldkircher, Martin, 2021. "The Impact of Monetary Policy on Yield Curve Expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 887-901.
    82. MORIKAWA Masayuki, 2021. "Uncertainty of Firms' Economic Outlook During the COVID-19 Crisis," Discussion papers 21042, Research Institute of Economy, Trade and Industry (RIETI).
    83. Pooja Kapoor & Sujata Kar, 2023. "A review of inflation expectations and perceptions research in the past four decades: a bibliometric analysis," International Economics and Economic Policy, Springer, vol. 20(2), pages 279-302, May.
    84. Xiao, Wei, 2022. "Understanding probabilistic expectations – a behavioral approach," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    85. Zhao, Yongchen, 2023. "Internal consistency of household inflation expectations: Point forecasts vs. density forecasts," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1713-1735.
    86. Rossmann, Tobias, 2019. "Does Experience Shape Subjective Expectations?," Rationality and Competition Discussion Paper Series 181, CRC TRR 190 Rationality and Competition.
    87. Jonas Dovern & Lena Sophia Müller & Klaus Wohlrabe, 2020. "How Do Firms Form Expectations of Aggregate Growth? New Evidence from a Large-Scale Business Survey," CESifo Working Paper Series 8179, CESifo.
    88. Victor Olkhov, 2019. "Financial Variables, Market Transactions, and Expectations as Functions of Risk," IJFS, MDPI, vol. 7(4), pages 1-27, November.
    89. Sias, Richard & Starks, Laura T. & Turtle, H.J., 2023. "The negativity bias and perceived return distributions: Evidence from a pandemic," Journal of Financial Economics, Elsevier, vol. 147(3), pages 627-657.
    90. Marcelo Pedroni & Swapnil Singh & Christian Stoltenberg, 2022. "Advance Information and Consumption Insurance: Evidence from Panel Data," Tinbergen Institute Discussion Papers 22-032/VI, Tinbergen Institute.
    91. Bańnkowska, Katarzyna & Borlescu, Ana Maria & Charalambakis, Evangelos & Da Silva, António Dias & Di Laurea, Davide & Dossche, Maarten & Georgarakos, Dimitris & Honkkila, Juha & Kennedy, Neale & Kenny, 2021. "ECB Consumer Expectations Survey: an overview and first evaluation," Occasional Paper Series 287, European Central Bank.
    92. Lars Peter Hansen, 2017. "Comment on "Survey Measurement of Probabilistic Economic Expectations: Progress and Promise"," NBER Chapters, in: NBER Macroeconomics Annual 2017, volume 32, pages 479-489, National Bureau of Economic Research, Inc.

  18. Charles F. Manski, 2017. "Improving Clinical Guidelines and Decisions under Uncertainty," NBER Working Papers 23915, National Bureau of Economic Research, Inc.

    Cited by:

    1. Jason Abaluck & Leila Agha & David C. Chan Jr & Daniel Singer & Diana Zhu, 2020. "Fixing Misallocation with Guidelines: Awareness vs. Adherence," NBER Working Papers 27467, National Bureau of Economic Research, Inc.
    2. Lydiksen, Nis & Greve, Jane & Jakobsen, Marie & Kristensen, Søren Rud, 2021. "Using national clinical guidelines to reduce practice variation – the case of Denmark," Health Policy, Elsevier, vol. 125(6), pages 793-798.

  19. Charles F. Manski & John V. Pepper, 2015. "How Do Right-To-Carry Laws Affect Crime Rates? Coping With Ambiguity Using Bounded-Variation Assumptions," NBER Working Papers 21701, National Bureau of Economic Research, Inc.

    Cited by:

    1. Billy Ferguson & Brad Ross, 2020. "Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error," Papers 2012.15367, arXiv.org, revised Feb 2021.
    2. Manski, Charles F., 2023. "Probabilistic prediction for binary treatment choice: With focus on personalized medicine," Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
    3. Bernhard Schmidpeter, 2023. "Labor Market News and Expectations about Jobs & Earnings," Economics working papers 2023-14, Department of Economics, Johannes Kepler University Linz, Austria.
    4. Jonathan Roth & Pedro H. C. Sant'Anna, 2021. "Efficient Estimation for Staggered Rollout Designs," Papers 2102.01291, arXiv.org, revised May 2023.
    5. Clément de Chaisemartin & Xavier D’haultfœuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," Post-Print hal-03873885, HAL.
    6. Sheyu Li & Valentyn Litvin & Charles F. Manski, 2022. "Partial Identification of Personalized Treatment Response with Trial-reported Analyses of Binary Subgroups," Papers 2208.03381, arXiv.org, revised Sep 2022.
    7. Christoph Koenig & David Schindler, 2019. "Impulse Purchases, Gun Ownership, and Homicides: Evidence from a Firearm Demand Shock," CESifo Working Paper Series 7833, CESifo.
    8. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    9. Kyunghoon Ban & D'esir'e K'edagni, 2022. "Robust Difference-in-differences Models," Papers 2211.06710, arXiv.org, revised Aug 2023.
    10. Mechoulan, Stéphane, 2020. "Civil unrest, emergency powers, and spillover effects: A mixed methods analysis of the 2005 French riots," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 305-326.
    11. Isabel Martinez, 2021. "Beggar-Thy-Neighbour Tax Cuts: Mobility After a Local Income and Wealth Tax Reform in Switzerland," KOF Working papers 21-490, KOF Swiss Economic Institute, ETH Zurich.
    12. Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," Papers 2004.06178, arXiv.org.
    13. Petros G. Sekeris & Tanguy van Ypersele, 2020. "An Economic Analysis of Violent Crime," Revue d'économie politique, Dalloz, vol. 130(6), pages 975-999.
    14. Schmidpeter, Bernhard, 2023. "Labor market news and expectations about jobs & earnings," Ruhr Economic Papers 1030, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Colmer, Jonathan & Doleac, Jennifer, 2023. "Access to Guns in the Heat of the Moment: More Restrictive Gun Laws Mitigate the Effect of Temperature on Violence," IZA Discussion Papers 16247, Institute of Labor Economics (IZA).
    16. Schmidpeter, Bernhard, 2023. "Labor Market News and Expectations about Jobs & Earnings," IZA Discussion Papers 16524, Institute of Labor Economics (IZA).
    17. Depalo, Domenico, 2023. "Should the Daylight Saving Time be abolished? Evidence from work accidents in Italy," Economic Modelling, Elsevier, vol. 128(C).
    18. Jonathan Colmer & Jennifer L. Doleac, 2023. "Access to guns in the heat of the moment: more restrictive gun laws mitigate the effect of temperature on violence," CEP Discussion Papers dp1934, Centre for Economic Performance, LSE.
    19. Ashesh Rambachan & Jonathan Roth, 2020. "Design-Based Uncertainty for Quasi-Experiments," Papers 2008.00602, arXiv.org, revised Feb 2024.
    20. Tut, Daniel, 2022. "Investment, Q and epidemic diseases," Finance Research Letters, Elsevier, vol. 47(PB).
    21. Jeff Dominitz & Charles F. Manski, 2024. "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers 2403.11016, arXiv.org.
    22. Christelis, Dimitris & Messina, Julián, 2019. "Partial Identification of Population Average and Quantile Treatment Effects in Observational Data under Sample Selection," IDB Publications (Working Papers) 9520, Inter-American Development Bank.
    23. Hebous, Shafik & Jia, Zhiyang & Løyland, Knut & Thoresen, Thor O. & Øvrum, Arnstein, 2023. "Do Audits Improve Future Tax Compliance in the Absence of Penalties? Evidence from Random Audits in Norway," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 305-326.
    24. Depalo, Domenico, 2020. "True Covid-19 mortality rates from administrative data," GLO Discussion Paper Series 630, Global Labor Organization (GLO).
    25. Martínez, Isabel Z., 2022. "Mobility Responses to the Establishment of a Residential Tax Haven: Evidence From Switzerland," CEPR Discussion Papers 16627, C.E.P.R. Discussion Papers.
    26. Aibo Gong, 2021. "Bounds for Treatment Effects in the Presence of Anticipatory Behavior," Papers 2111.06573, arXiv.org, revised Dec 2022.
    27. Jappelli, Tullio & Christelis, Dimitris & Georgarakos, Dimitris & Kenny, Geoff, 2020. "The Covid-19 Crisis and Consumption: Survey Evidence from Six EU Countries," CEPR Discussion Papers 15525, C.E.P.R. Discussion Papers.
    28. Jonathan Roth & Pedro H. C. Sant'Anna & Alyssa Bilinski & John Poe, 2022. "What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature," Papers 2201.01194, arXiv.org, revised Jan 2023.
    29. Wang, Chuhong & Liu, Xingfei & Yan, Zizhong & Zhao, Yi, 2022. "Higher education expansion and crime: New evidence from China," China Economic Review, Elsevier, vol. 74(C).
    30. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
    31. Wu, Christopher, 2022. "Should We Trust Regression to Measure Social Disparities?," SocArXiv 4znu5, Center for Open Science.
    32. Marco Stenborg Petterson & David Seim & Jesse M. Shapiro, 2023. "Bounds on a Slope from Size Restrictions on Economic Shocks," American Economic Journal: Microeconomics, American Economic Association, vol. 15(3), pages 552-572, August.
    33. Jiafeng Chen, 2022. "Synthetic Control As Online Linear Regression," Papers 2202.08426, arXiv.org, revised Nov 2022.
    34. Pedro Dias Moreira & João Monteiro, 2023. "The Impact of a Higher Cost of Credit on Exporters: Evidence from a Change in Banking Regulation," Working Papers w202320, Banco de Portugal, Economics and Research Department.
    35. Clarke, Damian & Pailañir, Daniel & Athey, Susan & Imbens, Guido W., 2023. "Synthetic Difference-in-Differences Estimation," IZA Discussion Papers 15907, Institute of Labor Economics (IZA).
    36. Yiwei Sun, 2023. "Extrapolating Away from the Cutoff in Regression Discontinuity Designs," Papers 2311.18136, arXiv.org.
    37. Bondy, Matthew V. & Cai, Samuel V. & Donohue, John J., 2023. "Estimating the effect of U.S. concealed carry laws on homicide: A replication and sensitivity analysis," International Review of Law and Economics, Elsevier, vol. 75(C).
    38. Philip Marx & Elie Tamer & Xun Tang, 2022. "Parallel Trends and Dynamic Choices," Papers 2207.06564, arXiv.org, revised Aug 2023.
    39. Sadayuki, Taisuke & Arimura, Toshi H., 2021. "Do regional emission trading schemes lead to carbon leakage within firms? Evidence from Japan," Energy Economics, Elsevier, vol. 104(C).
    40. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Mar 2024.
    41. Junquera, Álvaro F., 2024. "More money, more effect? Employment effects of job search programs in Veneto," SocArXiv rjshu, Center for Open Science.
    42. Roy Allen & John Rehbeck, 2020. "Counterfactual and Welfare Analysis with an Approximate Model," Papers 2009.03379, arXiv.org.
    43. Brunello, Giorgio & Christelis, Dimitris & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2022. "Does College Selectivity Reduce Obesity? A Partial Identification Approach," IZA Discussion Papers 15612, Institute of Labor Economics (IZA).
    44. Andrea Ciaccio, 2023. "The Impact of a Cost-containment Measure on the Quality of Regional Health Services in Italy: a Parametric and a Non-parametric Approach," Working Papers 2023: 24, Department of Economics, University of Venice "Ca' Foscari".
    45. Tannenbaum, Daniel I., 2020. "Does the disclosure of gun ownership affect crime? Evidence from New York," Journal of Public Economics, Elsevier, vol. 181(C).
    46. Gregory Faletto, 2023. "Fused Extended Two-Way Fixed Effects for Difference-in-Differences with Staggered Adoptions," Papers 2312.05985, arXiv.org, revised Apr 2024.
    47. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    48. Natalie Malak & Md Mahbubur Rahman & Terry A. Yip, 2019. "Baby bonus, anyone? Examining heterogeneous responses to a pro-natalist policy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(4), pages 1205-1246, October.
    49. Liu, Xingfei & Wang, Chuhong & Yan, Zizhong & Zhao, Yi, 2022. "Higher Education Expansion and Crime: New Evidence from China," Working Papers 2022-2, University of Alberta, Department of Economics.
    50. Brantly Callaway, 2022. "Difference-in-Differences for Policy Evaluation," Papers 2203.15646, arXiv.org.
    51. Vikram Dayal & Anand Murugesan, 2020. "Demystifying causal inference: ingredients of a recipe," IEG Working Papers 393, Institute of Economic Growth.

  20. Charles F. Manski, 2014. "Communicating Uncertainty in Official Economic Statistics," NBER Working Papers 20098, National Bureau of Economic Research, Inc.

    Cited by:

    1. Michael Boldin & Jonathan H. Wright, 2015. "Weather-Adjusting Economic Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(2 (Fall)), pages 227-278.
    2. Philip J. Cook & Jens Ludwig, 2014. "Elusive Facts About Gun Violence: Where Good Surveys Go Bad," SADO - Working Papers 166, Small Arms Data Observatory.
    3. David J. Hand, 2018. "Statistical challenges of administrative and transaction data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(3), pages 555-605, June.

  21. Charles F. Manski & Aleksey Tetenov, 2014. "The Quantile Performance of Statistical Treatment Rules Using Hypothesis Tests to Allocate a Population to Two Treatments," CeMMAP working papers 44/14, Institute for Fiscal Studies.

    Cited by:

    1. Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.
    2. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Feb 2024.
    3. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.
    4. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    5. Charles F. Manski, 2019. "Remarks on statistical inference for statistical decisions," CeMMAP working papers CWP06/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  22. Charles Manski & Claudia Neri, 2013. "First- and Second-order Subjective Expectations in Strategic Decision-Making: Experimental Evidence," 2013 Meeting Papers 73, Society for Economic Dynamics.

    Cited by:

    1. Kai A. Konrad & Tim Lohse & Salmai Qari, 2011. "Customs Compliance and the Power of Imagination," Working Papers customs_compliance_and_th, Max Planck Institute for Tax Law and Public Finance.
    2. Piotr Evdokimov & Umberto Garfagnini, 2022. "Higher-order learning," Experimental Economics, Springer;Economic Science Association, vol. 25(4), pages 1234-1266, September.
    3. Bauer, Dominik & Wolff, Irenaeus, 2021. "Biases in Belief Reports," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242458, Verein für Socialpolitik / German Economic Association.
    4. Bose, Subir & Daripa, Arup, 2023. "Eliciting second-order beliefs," Journal of Mathematical Economics, Elsevier, vol. 107(C).
    5. Charles Bellemare & Sabine Kröger & Kouamé Marius Sossou, 2018. "Reporting probabilistic expectations with dynamic uncertainty about possible distributions," Journal of Risk and Uncertainty, Springer, vol. 57(2), pages 153-176, October.
    6. Laura Gee & Michael Schreck, 2016. "Do Beliefs About Peers Matter for Donation Matching? Experiments in the Field and Laboratory," Framed Field Experiments 00538, The Field Experiments Website.
    7. Piotr Evdokimov & Umberto Garfagnini, 2023. "Cognitive Ability and Perceived Disagreement in Learning," Rationality and Competition Discussion Paper Series 381, CRC TRR 190 Rationality and Competition.
    8. Neri, Claudia, 2012. "Eliciting Beliefs in Continuous-Choice Games: A Double Auction Experiment," Economics Working Paper Series 1207, University of St. Gallen, School of Economics and Political Science, revised Dec 2012.
    9. Chen, Si & Schildberg-Hörisch, Hannah, 2018. "Looking at the Bright Side: The Motivation Value of Overconfidence," IZA Discussion Papers 11564, Institute of Labor Economics (IZA).
    10. Dietrichson, Jens & Gudmundsson, Jens & Jochem, Torsten, 2022. "Why don’t we talk about it? Communication and coordination in teams," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 257-278.
    11. Gee, Laura Katherine & Schreck, Michael J., 2017. "Do Beliefs about Peers Matter for Donation Matching? Experiments in the Field and Laboratory," IZA Discussion Papers 10956, Institute of Labor Economics (IZA).
    12. A Stefano Caria & Marcel Fafchamps, 2014. "Cooperation and Expectations in Networks: Evidence from a Network Public Good Experiment in Rural India," CSAE Working Paper Series 2014-33, Centre for the Study of African Economies, University of Oxford.
    13. Castillo, Marco E. & Cross, Philip J. & Freer, Mikhail, 2019. "Nonparametric utility theory in strategic settings: Revealing preferences and beliefs from proposal–response games," Games and Economic Behavior, Elsevier, vol. 115(C), pages 60-82.
    14. Markus Eyting & Patrick Schmidt, 2019. "Belief Elicitation with Multiple Point Predictions," Working Papers 1818, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 16 Nov 2020.
    15. Madarász, Kristóf & Danz, David & Wang, Stephanie, 2018. "The Biases of Others: Projection Equilibrium in an Agency Setting," CEPR Discussion Papers 12867, C.E.P.R. Discussion Papers.
    16. Kai A. Konrad & Tim Lohse & Salmai Qari, 2015. "Compliance with Endogenous Audit Probabilities," Discussion Papers of DIW Berlin 1493, DIW Berlin, German Institute for Economic Research.
    17. Tobias Regner, 2018. "What's behind image? towards a better understanding of image-driven behavior," Jena Economics Research Papers 2018-020, Friedrich-Schiller-University Jena.
    18. Bauer, Dominik & Wolff, Irenaeus, 2019. "Biases in Beliefs," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203601, Verein für Socialpolitik / German Economic Association.
    19. Eyting, Markus & Schmidt, Patrick, 2021. "Belief elicitation with multiple point predictions," European Economic Review, Elsevier, vol. 135(C).
    20. Dietrichson, Jens & Jochem, Torsten, 2014. "Organizational coordination and costly communication with boundedly rational agents," Comparative Institutional Analysis Working Paper Series 2014:1, Lund University, Comparative Institutional Analysis, School of Economics and Management.
    21. Gee, Laura K. & Schreck, Michael J., 2018. "Do beliefs about peers matter for donation matching? Experiments in the field and laboratory," Games and Economic Behavior, Elsevier, vol. 107(C), pages 282-297.
    22. J. Aislinn Bohren & Daniel N. Hauser, 2023. "Behavioral Foundations of Model Misspecification," PIER Working Paper Archive 23-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    23. Ye Jin, 2021. "Does level-k behavior imply level-k thinking?," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 330-353, March.
    24. Dominik Bauer & Irenaeus Wolff, 2018. "Biases in Beliefs: Experimental Evidence," TWI Research Paper Series 109, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    25. Dietrichson, Jens & Gudmundsson, Jens & Jochem, Torsten, 2014. "Let's Talk It Over: Communication and Coordination in Teams," Working Papers 2014:2, Lund University, Department of Economics, revised 18 Apr 2018.
    26. Irenaeus Wolff & Dominik Bauer, 2018. "Elusive Beliefs: Why Uncertainty Leads to Stochastic Choice and Errors," TWI Research Paper Series 111, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    27. Christopher P. Chambers & Nicolas S. Lambert, 2021. "Dynamic Belief Elicitation," Econometrica, Econometric Society, vol. 89(1), pages 375-414, January.
    28. Chen, Si & Schildberg-Hörisch, Hannah, 2019. "Looking at the bright side: The motivational value of confidence," European Economic Review, Elsevier, vol. 120(C).
    29. Haber Julita & Brouer Robyn, 2017. "Impressions of Competency: Tactics and a Conceptual Model," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 25(4), pages 28-54, December.
    30. Dustan, Andrew & Koutout, Kristine & Leo, Greg, 2022. "Second-order beliefs and gender," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 752-781.
    31. Charness, Gary & Gneezy, Uri & Rasocha, Vlastimil, 2021. "Experimental methods: Eliciting beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 234-256.
    32. Polonio, Luca & Coricelli, Giorgio, 2019. "Testing the level of consistency between choices and beliefs in games using eye-tracking," Games and Economic Behavior, Elsevier, vol. 113(C), pages 566-586.
    33. Steven J. Bosworth, 2017. "The importance of higher-order beliefs to successful coordination," Experimental Economics, Springer;Economic Science Association, vol. 20(1), pages 237-258, March.

  23. Charles F. Manski, 2012. "Identification of Preferences and Evaluation of Income Tax Policy," NBER Working Papers 17755, National Bureau of Economic Research, Inc.

    Cited by:

    1. Charles F. Manski, 2014. "Choosing Size of Government Under Ambiguity: Infrastructure Spending and Income Taxation," Economic Journal, Royal Economic Society, vol. 0(576), pages 359-376, May.
    2. Sanz Labrador, Ismael & Sanz-Sanz, José Félix, 2013. "Política fiscal y crecimiento económico: consideraciones microeconómicas y relaciones macroeconómicas," Macroeconomía del Desarrollo 5367, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    3. André Decoster & Peter Haan, 2015. "Empirical welfare analysis with preference heterogeneity," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(2), pages 224-251, April.
    4. Moutsopoulos, Michael & Pelagidis, Theodore, 2021. "Labor Taxation: Insights From The World Economic Forum Survey," MPRA Paper 110823, University Library of Munich, Germany.
    5. Macon, Luke & McLellan, Benjamin & Kanamura, Takashi, 2019. "Climate Policies and the Tax-Interaction Effect, in Context," MPRA Paper 97053, University Library of Munich, Germany.
    6. Martner Fanta, Ricardo & Gonzales, Ivonne & Podestá, Andrea, 2013. "Políticas fiscales para el crecimiento y la igualdad," Macroeconomía del Desarrollo 5372, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    7. Elgin, Ceyhun & Yucel, Emekcan, 2014. "Determinants of the weight for leisure in preferences," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-26.
    8. Schröder, Melanie & Schmitt, Norma & Mantei, Britta & Brünn, Claudia, 2014. "Social Norms or Income Taxation - What Drives Couple's Labor Supply? Experimental Evidence," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100375, Verein für Socialpolitik / German Economic Association.
    9. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.

  24. Charles F. Manski, 2012. "Identification of income-leisure preferences and evaluation of income tax policy," CeMMAP working papers 07/12, Institute for Fiscal Studies.

    Cited by:

    1. Soren Blomquist & Anil Kumar & Che-Yuan Liang & Whitney K. Newey, 2015. "Individual heterogeneity, nonlinear budget sets and taxable income," CeMMAP working papers 21/15, Institute for Fiscal Studies.
    2. Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2019. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," NBER Working Papers 25827, National Bureau of Economic Research, Inc.
    3. Charles F. Manski, 2014. "Choosing Size of Government Under Ambiguity: Infrastructure Spending and Income Taxation," Economic Journal, Royal Economic Society, vol. 0(576), pages 359-376, May.
    4. Khushboo Surana, 2022. "How different are we? Identifying the degree of revealed preference heterogeneity," Discussion Papers 22/09, Department of Economics, University of York.
    5. Soren Blomquist & Anil Kumar & Che-Yuan Liang & Whitney K. Newey, 2022. "Nonlinear Budget Set Regressions for the Random Utility Model," Working Papers 2219, Federal Reserve Bank of Dallas.
    6. Jorg Stoye & Yuichi Kitamura, 2017. "Nonparametric analysis of random utility models," CeMMAP working papers 56/17, Institute for Fiscal Studies.
    7. Sanz Labrador, Ismael & Sanz-Sanz, José Félix, 2013. "Política fiscal y crecimiento económico: consideraciones microeconómicas y relaciones macroeconómicas," Macroeconomía del Desarrollo 5367, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    8. Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
    9. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    10. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    11. Adams-Prassl, Abigail, 2019. "Mutually Consistent Revealed Preference Demand Predictions," CEPR Discussion Papers 13580, C.E.P.R. Discussion Papers.
    12. André Decoster & Peter Haan, 2015. "Empirical welfare analysis with preference heterogeneity," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(2), pages 224-251, April.
    13. Laurens Cherchye & Thomas Demuynck & Bram De Rock, 2012. "Revealed Preference Analysis for Convex Rationalizations on Nonlinear Budget Sets," Working Papers ECARES ECARES 2012-044, ULB -- Universite Libre de Bruxelles.
    14. Moutsopoulos, Michael & Pelagidis, Theodore, 2021. "Labor Taxation: Insights From The World Economic Forum Survey," MPRA Paper 110823, University Library of Munich, Germany.
    15. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2023.
    16. Macon, Luke & McLellan, Benjamin & Kanamura, Takashi, 2019. "Climate Policies and the Tax-Interaction Effect, in Context," MPRA Paper 97053, University Library of Munich, Germany.
    17. Martner Fanta, Ricardo & Gonzales, Ivonne & Podestá, Andrea, 2013. "Políticas fiscales para el crecimiento y la igualdad," Macroeconomía del Desarrollo 5372, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    18. Elgin, Ceyhun & Yucel, Emekcan, 2014. "Determinants of the weight for leisure in preferences," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-26.
    19. Soren Blomquist & Anil Kumar & Che-Yuan Liang, 2019. "On Bunching and Identi?cation of the Taxable Income Elasticity," CeMMAP working papers CWP53/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Zheng Fang & Andres Santos & Azeem M. Shaikh & Alexander Torgovitsky, 2020. "Inference for Large-Scale Linear Systems with Known Coefficients," Papers 2009.08568, arXiv.org, revised Sep 2021.
    21. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    22. Treich, Nicolas & Yang, Yuting, 2021. "Public safety under imperfect taxation," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
    23. Schröder, Melanie & Schmitt, Norma & Mantei, Britta & Brünn, Claudia, 2014. "Social Norms or Income Taxation - What Drives Couple's Labor Supply? Experimental Evidence," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100375, Verein für Socialpolitik / German Economic Association.
    24. Rolf Aaberge & Ugo Colombino, 2015. "Labour Supply models," Discussion Papers 807, Statistics Norway, Research Department.
    25. Charles F. Manski, 2018. "More on random utility models with bounded ambiguity," Theory and Decision, Springer, vol. 84(2), pages 205-213, March.
    26. Abi Adams, 2015. "Mutually consistent revealed preference bounds," IFS Working Papers W15/20, Institute for Fiscal Studies.
    27. Stefan Hoderlein & Jörg Stoye, 2015. "Testing stochastic rationality and predicting stochastic demand: the case of two goods," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 3(2), pages 313-328, October.
    28. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    29. Timothy Christensen & Benjamin Connault, 2023. "Counterfactual Sensitivity and Robustness," Econometrica, Econometric Society, vol. 91(1), pages 263-298, January.

  25. Charles F. Manski, 2012. "Choosing Size of Government Under Ambiguity: Infrastructure Spending and Income Taxation," NBER Working Papers 18204, National Bureau of Economic Research, Inc.

    Cited by:

    1. George A. Waters, 2018. "Utilitarian preference for redistribution: a concern with max-min," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(2), pages 386-396, April.
    2. Dong, Xueqi & Liu, Shuo Li, 2021. "Proportional Tax under Ambiguity," MPRA Paper 107668, University Library of Munich, Germany.

  26. Charles F. Manski, 2011. "Policy analysis with incredible certitude," CeMMAP working papers CWP04/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Liu, Ding & Millimet, Daniel L., 2020. "Bounding the Joint Distribution of Disability and Employment with Contaminated Data," IZA Discussion Papers 13020, Institute of Labor Economics (IZA).
    2. Andrea Migone & Alexander Howlett & Michael Howlett, 2023. "The politics of military megaprojects: discursive struggles in Canadian and Australian naval shipbuilding strategies," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 42(2), pages 226-244.
    3. Seán M. Muller, 2021. "Evidence for a YETI? A Cautionary Tale from South Africa's Youth Employment Tax Incentive," Development and Change, International Institute of Social Studies, vol. 52(6), pages 1301-1342, November.
    4. Carolina Alves & Ingrid Harvold Kvangraven, 2020. "Changing the Narrative: Economics After Covid-19," Journal, Review of Agrarian Studies, vol. 10(1), pages 147-163, January-J.
    5. Olle Frödin, 2015. "Researching Governance for Sustainable Development: Some Conceptual Clarifications," Journal of Developing Societies, , vol. 31(4), pages 447-466, December.
    6. Michael Funke & Michael Paetz & Qianying Chen,, 2012. "Market and Non-Market Monetary Policy Tools in a Calibrated DSGE Model for Mainland China," Quantitative Macroeconomics Working Papers 21207, Hamburg University, Department of Economics.
    7. Loretta J. Mester, 2016. "Acknowledging Uncertainty, 10-07-2016; Shadow Open Market Committee Fall Meeting, New York, NY," Speech 77, Federal Reserve Bank of Cleveland.
    8. Robert W. Wassmer & Ryan S. Ong & Geoffrey Propheter, 2016. "Suggestions for the Needed Standardization of Determining the Local Economic Impact of Professional Sports," Economic Development Quarterly, , vol. 30(3), pages 252-266, August.
    9. Douglas W. Elmendorf, 2015. "“Dynamic Scoring”: Why and How to Include Macroeconomic Effects in Budget Estimates for Legislative Proposals," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(2 (Fall)), pages 91-149.
    10. Hashem M. Pesaran & Ron P. Smith, 2011. "Beyond the DSGE Straitjacket," CESifo Working Paper Series 3447, CESifo.
    11. Ziesmer, Johannes & Jin, Ding & Mukashov, Askar & Henning, Christian, 2023. "Integrating fundamental model uncertainty in policy analysis," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    12. Depalo, Domenico, 2023. "Should the Daylight Saving Time be abolished? Evidence from work accidents in Italy," Economic Modelling, Elsevier, vol. 128(C).
    13. Whittington, Dale & Jeuland, Marc & Barker, Kate & Yuen, Yvonne, 2012. "Setting Priorities, Targeting Subsidies among Water, Sanitation, and Preventive Health Interventions in Developing Countries," World Development, Elsevier, vol. 40(8), pages 1546-1568.
    14. Muller, Sean, 2014. "Randomised trials for policy: a review of the external validity of treatment effects," SALDRU Working Papers 127, Southern Africa Labour and Development Research Unit, University of Cape Town.
    15. Grant Mark Nülle & Graham A. Davis, 2018. "Neither Dutch nor disease?—natural resource booms in theory and empirics," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 31(1), pages 35-59, May.
    16. Charles F. Manski, 2015. "Communicating Uncertainty in Official Economic Statistics: An Appraisal Fifty Years after Morgenstern," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 631-653, September.
    17. Stéphane Hallegatte & Jun Rentschler, 2015. "Risk Management for Development—Assessing Obstacles and Prioritizing Action," Risk Analysis, John Wiley & Sons, vol. 35(2), pages 193-210, February.
    18. Ding Liu & Daniel L. Millimet, 2021. "Bounding the joint distribution of disability and employment with misclassification," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1628-1647, July.
    19. Depalo, Domenico, 2020. "True Covid-19 mortality rates from administrative data," GLO Discussion Paper Series 630, Global Labor Organization (GLO).
    20. Lawrence Mead, 2015. "Only connect: Why government often ignores research," Policy Sciences, Springer;Society of Policy Sciences, vol. 48(2), pages 257-272, June.
    21. Muller, Seán M., 2020. "The implications of a fundamental contradiction in advocating randomized trials for policy," World Development, Elsevier, vol. 127(C).
    22. Ankel-Peters, Jörg & Schmidt, Christoph M., 2023. "Rural electrification, the credibility revolution, and the limits of evidence-based policy," Ruhr Economic Papers 1051, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    23. Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023. "Identifying marginal treatment effects in the presence of sample selection," Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.
    24. Mukashov, A., 2023. "Parameter uncertainty in policy planning models: Using portfolio management methods to choose optimal policies under world market volatility," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 187-202.
    25. Argentiero, Amedeo & Bovi, Maurizio & Cerqueti, Roy, 2015. "Over consumption. A horse race of Bayesian DSGE models," MPRA Paper 66445, University Library of Munich, Germany.
    26. Vitor Possebom, 2021. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," Papers 2106.00536, arXiv.org, revised Jul 2023.
    27. Jörg Stoye, 2022. "Bounding infection prevalence by bounding selectivity and accuracy of tests: with application to early COVID-19 [False-negative results of initial RT-PCR assays for COVID-19: a systematic review]," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 1-14.
    28. Ronald B. Davies & Joseph Francois, 2018. "Making the Worst of a Bad Situation: A Note on Irexit," The Economic and Social Review, Economic and Social Studies, vol. 49(4), pages 455-462.
    29. Hunt Allcott, 2012. "Site Selection Bias in Program Evaluation," NBER Working Papers 18373, National Bureau of Economic Research, Inc.
    30. Charles F. Manski, 2022. "Inference with Imputed Data: The Allure of Making Stuff Up," Papers 2205.07388, arXiv.org.
    31. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    32. Maren Duvendack & Richard Palmer-Jones, 2013. "Replication of quantitative work in development studies: Experiences and suggestions," Progress in Development Studies, , vol. 13(4), pages 307-322, October.
    33. Charles F. Manski, 2014. "Communicating Uncertainty in Official Economic Statistics," NBER Working Papers 20098, National Bureau of Economic Research, Inc.
    34. Armstrong, Christopher S. & Glaeser, Stephen & Kepler, John D., 2019. "Strategic reactions in corporate tax planning," Journal of Accounting and Economics, Elsevier, vol. 68(1).

  27. Charles F. Manski & John V. Pepper, 2011. "Deterrence and the Death Penalty: Partial Identification Analysis Using Repeated Cross Sections," NBER Working Papers 17455, National Bureau of Economic Research, Inc.

    Cited by:

    1. Berit C. Gerritzen & Gebhard Kirchgässner, 2013. "Facts or Ideology: What Determines the Results of Econometric Estimates of the Deterrence Effect of Death Penalty? A Meta-Analysis," CESifo Working Paper Series 4159, CESifo.
    2. Berit C. Gerritzen & Gebhard Kirchgässner, 2013. "Facts or Ideology: What Determines the Results of Econometric Estimates of the Deterrence Effect of Death Penalty?," CREMA Working Paper Series 2013-04, Center for Research in Economics, Management and the Arts (CREMA).
    3. Stefanie Hof, 2014. "Does Private Tutoring Work? The Effectiveness of Private Tutoring: A Nonparametric Bounds Analysis," Economics of Education Working Paper Series 0096, University of Zurich, Department of Business Administration (IBW).
    4. Millimet, Daniel L. & Roy, Manan, 2013. "Partial Identification of the Long-Run Causal Effect of Food Security on Child Health," IZA Discussion Papers 7457, Institute of Labor Economics (IZA).

  28. Charles F. Manski, 2010. "Identification of treatment response with social interactions," CeMMAP working papers CWP01/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Ruonan Xu, 2023. "Difference-in-Differences with Interference," Papers 2306.12003, arXiv.org, revised Feb 2024.
    2. Rokhaya Dieye & Habiba Djebbari & Felipe Barrera-Osorio, 2014. "Accounting for Peer Effects in Treatment Response," Working Papers halshs-01025680, HAL.
    3. Dionissi Aliprantis, 2012. "Assessing the evidence on neighborhood effects from Moving to Opportunity," Working Papers (Old Series) 1122R, Federal Reserve Bank of Cleveland.
    4. Edoardo Rainone, 2015. "Testing information diffusion in the decentralized unsecured market for euro funds," Temi di discussione (Economic working papers) 1022, Bank of Italy, Economic Research and International Relations Area.
    5. Davide Viviano, 2020. "Experimental Design under Network Interference," Papers 2003.08421, arXiv.org, revised Jul 2022.
    6. Giovanni Cerulli, 2014. "ntreatreg: a Stata module for estimation of treatment effects in the presence of neighborhood interactions," United Kingdom Stata Users' Group Meetings 2014 15, Stata Users Group.
    7. Clarke, Damian, 2017. "Estimating Difference-in-Differences in the Presence of Spillovers," MPRA Paper 81604, University Library of Munich, Germany.
    8. Alberto Chong & Marco Gonzalez-Navarro & Dean Karlan & Martín Valdivia, 2020. "Do Information Technologies Improve Teenagers’ Sexual Education? Evidence from a Randomized Evaluation in Colombia," The World Bank Economic Review, World Bank, vol. 34(2), pages 371-392.
    9. Supriya Tiwari & Pallavi Basu, 2024. "Quasi-randomization tests for network interference," Papers 2403.16673, arXiv.org.
    10. Stefan Tübbicke, 2020. "Entropy Balancing for Continuous Treatments," CEPA Discussion Papers 21, Center for Economic Policy Analysis.
    11. Alan Andre Borges da Costa & Sergio Pinheiro Firpo, 2018. "An analysis of the distributive effects of public policies and their spillovers," Working Papers, Department of Economics 2018_06, University of São Paulo (FEA-USP).
    12. Donald P. Green & Adam Zelizer & Winston Lin, 2021. "How Effective Are Radio Messages Aimed at Reducing Teen Births Among Latinas? A Randomized Controlled Trial," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(4), pages 695-722, August.
    13. Sourafel Girma & Yundan Gong & Holger Görg & Sandra Lancheros, 2016. "Estimating direct and indirect effects of foreign direct investment on firm productivity in the presence of interactions between firms," World Scientific Book Chapters, in: MULTINATIONAL ENTERPRISES AND HOST COUNTRY DEVELOPMENT, chapter 12, pages 227-239, World Scientific Publishing Co. Pte. Ltd..
    14. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    15. Michael P. Leung, 2024. "Causal Interpretation of Estimands Defined by Exposure Mappings," Papers 2403.08183, arXiv.org, revised Mar 2024.
    16. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
    17. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
    18. Zachary Knepper & Christopher Yencha, 2023. "Public skate-parks and community well-being: A spatial econometric study," Economics Bulletin, AccessEcon, vol. 43(2), pages 868-881.
    19. Delgado, Michael S. & Florax, Raymond J.G.M., 2015. "Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction," Economics Letters, Elsevier, vol. 137(C), pages 123-126.
    20. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2019. "Peer Effects in Networks: a Survey," Working Papers halshs-02440709, HAL.
    21. Yazeed Abdul Mumin & Awudu Abdulai, 2022. "Social networks, adoption of improved variety and household welfare: evidence from Ghana," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 1-32.
    22. Kobayashi, Mimako & Melkonyan, Tigran A., 2011. "Strategic Incentives in Biosecurity Actions: Theoretical and Empirical Analyses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(2), pages 1-21, July.
    23. Mathias Lundin & Maria Karlsson, 2014. "Estimation of causal effects in observational studies with interference between units," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(3), pages 417-433, August.
    24. Lafférs, Lukáš, 2013. "A note on bounding average treatment effects," Economics Letters, Elsevier, vol. 120(3), pages 424-428.
    25. Leung, Michael P, 2022. "Rate-optimal cluster-randomized designs for spatial interference," Santa Cruz Department of Economics, Working Paper Series qt8t44s021, Department of Economics, UC Santa Cruz.
    26. Laura Forastiere & Davide Del Prete & Valerio Leone Sciabolazza, 2020. "Causal Inference on Networks under Continuous Treatment Interference," Papers 2004.13459, arXiv.org, revised Jun 2023.
    27. Stefan Wager & Kuang Xu, 2019. "Experimenting in Equilibrium," Papers 1903.02124, arXiv.org, revised Jun 2020.
    28. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2013. "Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets," Economics Series Working Papers 646, University of Oxford, Department of Economics.
    29. Clarke, Damian, 2019. "A convenient omitted variable bias formula for treatment effect models," Economics Letters, Elsevier, vol. 174(C), pages 84-88.
    30. David Choi, 2017. "Estimation of Monotone Treatment Effects in Network Experiments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1147-1155, July.
    31. Tadao Hoshino & Takahide Yanagi, 2021. "Causal Inference with Noncompliance and Unknown Interference," Papers 2108.07455, arXiv.org, revised Oct 2023.
    32. Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.
    33. Boucher, Vincent & Fortin, Bernard, 2015. "Some Challenges in the Empirics of the Effects of Networks," IZA Discussion Papers 8896, Institute of Labor Economics (IZA).
    34. Ramesh Johari & Hannah Li & Inessa Liskovich & Gabriel Weintraub, 2020. "Experimental Design in Two-Sided Platforms: An Analysis of Bias," Papers 2002.05670, arXiv.org, revised Sep 2021.
    35. Xi Song, 2016. "Diverging Mobility Trajectories: Grandparent Effects on Educational Attainment in One- and Two-Parent Families in the United States," Demography, Springer;Population Association of America (PAA), vol. 53(6), pages 1905-1932, December.
    36. Charles F. Manski, 2014. "Vaccine Approvals and Mandates Under Uncertainty: Some Simple Analytics," NBER Working Papers 20432, National Bureau of Economic Research, Inc.
    37. Dionissi Aliprantis & Francisca G.-C. Richter, 2020. "Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 633-647, October.
    38. Julius Owusu, 2023. "Randomization Inference of Heterogeneous Treatment Effects under Network Interference," Papers 2308.00202, arXiv.org, revised Jan 2024.
    39. Hao, Shiming, 2021. "True structure change, spurious treatment effect? A novel approach to disentangle treatment effects from structure changes," MPRA Paper 108679, University Library of Munich, Germany.
    40. David Puelz & Guillaume Basse & Avi Feller & Panos Toulis, 2022. "A graph‐theoretic approach to randomization tests of causal effects under general interference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(1), pages 174-204, February.
    41. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    42. Michelle Gonz'alez Amador & Robin Cowan & Eleonora Nillesen, 2022. "Peer Networks and Malleability of Educational Aspirations," Papers 2209.08340, arXiv.org.
    43. Athey, Susan & Eckles, Dean & Imbens, Guido W., 2015. "Exact P-Values for Network Interference," Research Papers 3351, Stanford University, Graduate School of Business.
    44. Cao, Y. & Swallow, B. & Qiu, F., 2018. "Does Municipal Development Policy Affect Property Values: A Quasi-Experimental Hedonic Model Approach in Alberta, Canada," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277044, International Association of Agricultural Economists.
    45. Aibo Gong, 2021. "Bounds for Treatment Effects in the Presence of Anticipatory Behavior," Papers 2111.06573, arXiv.org, revised Dec 2022.
    46. Girma, Sourafel & Görg, Holger & Stepanok, Ignat, 2019. "Subsidies, spillovers and exports," KCG Working Papers 20, Kiel Centre for Globalization (KCG).
    47. Fredrik Savje, 2021. "Causal inference with misspecified exposure mappings: separating definitions and assumptions," Papers 2103.06471, arXiv.org, revised Mar 2023.
    48. Haoge Chang, 2023. "Design-based Estimation Theory for Complex Experiments," Papers 2311.06891, arXiv.org.
    49. Jorge Balat & Sukjin Han, 2018. "Multiple Treatments with Strategic Interaction," Papers 1805.08275, arXiv.org, revised Sep 2019.
    50. Di Gennaro, Daniele & Pellegrini, Guido, 2016. "Evaluating direct and indirect treatment effects in Italian R&D expenditures," MPRA Paper 76467, University Library of Munich, Germany, revised 28 Jan 2017.
    51. Kosuke Imai & Zhichao Jiang, 2020. "Identification and sensitivity analysis of contagion effects in randomized placebo‐controlled trials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1637-1657, October.
    52. Rainone, Edoardo, 2020. "The network nature of over-the-counter interest rates," Journal of Financial Markets, Elsevier, vol. 47(C).
    53. Stefan Wager & Kuang Xu, 2021. "Experimenting in Equilibrium," Management Science, INFORMS, vol. 67(11), pages 6694-6715, November.
    54. Ruonan Xu & Jeffrey M. Wooldridge, 2022. "A Design-Based Approach to Spatial Correlation," Papers 2211.14354, arXiv.org.
    55. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised Dec 2023.
    56. Francis J. DiTraglia & Camilo Garcia-Jimeno & Rossa O'Keeffe-O'Donovan & Alejandro Sanchez-Becerra, 2020. "Identifying Causal Effects in Experiments with Spillovers and Non-compliance," Papers 2011.07051, arXiv.org, revised Jan 2023.
    57. Tadao Hoshino, 2021. "Estimating a Continuous Treatment Model with Spillovers: A Control Function Approach," Papers 2112.15114, arXiv.org, revised Jan 2023.
    58. Davide Viviano & Lihua Lei & Guido Imbens & Brian Karrer & Okke Schrijvers & Liang Shi, 2023. "Causal clustering: design of cluster experiments under network interference," Papers 2310.14983, arXiv.org, revised Jan 2024.
    59. A. Giffin & B. J. Reich & S. Yang & A. G. Rappold, 2023. "Generalized propensity score approach to causal inference with spatial interference," Biometrics, The International Biometric Society, vol. 79(3), pages 2220-2231, September.
    60. Leonardo Becchetti & Sara Mancini & Sara Savastano, 2022. "Food Security during the COVID-19 Pandemic: the Impact of a Rural Development Program and Neighbourhood Spillover Effect in the Solomon Islands," CEIS Research Paper 545, Tor Vergata University, CEIS, revised 15 Dec 2022.
    61. C. Tort`u & I. Crimaldi & F. Mealli & L. Forastiere, 2020. "Modelling Network Interference with Multi-valued Treatments: the Causal Effect of Immigration Policy on Crime Rates," Papers 2003.10525, arXiv.org, revised Jun 2020.
    62. Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2017. "Optimal Design of Experiments in the Presence of Interference*, Second Version," PIER Working Paper Archive 16-025, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 30 Nov 2017.
    63. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    64. Ramesh Johari & Hannah Li & Inessa Liskovich & Gabriel Y. Weintraub, 2022. "Experimental Design in Two-Sided Platforms: An Analysis of Bias," Management Science, INFORMS, vol. 68(10), pages 7069-7089, October.
    65. Vivek F. Farias & Andrew A. Li & Tianyi Peng & Andrew Zheng, 2022. "Markovian Interference in Experiments," Papers 2206.02371, arXiv.org, revised Jun 2022.
    66. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    67. Anish Agarwal & Sarah H. Cen & Devavrat Shah & Christina Lee Yu, 2022. "Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference," Papers 2210.11355, arXiv.org, revised Oct 2023.
    68. Francetic, Igor & Meacock, Rachel & Sutton, Matt, 2022. "Understanding Concordance in Health Behaviours among Couples: Evidence from the Bowel Cancer Screening Programme in England," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 310-345.
    69. Roberto Gabriele & Enrico Tundis, 2015. "the effect of longitudinal multiple subsidies on firm performance in the presence of neighbour interactions," ERSA conference papers ersa15p1368, European Regional Science Association.
    70. Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2015. "Designing Experiments to Measure Spillover Effects, Second Version," PIER Working Paper Archive 15-021, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Jun 2015.
    71. H. Spencer Banzhaf, 2021. "Difference-in-Differences Hedonics," Journal of Political Economy, University of Chicago Press, vol. 129(8), pages 2385-2414.
    72. Chabé-Ferret, Sylvain & Reynaud, Arnaud & Tène, Eva, 2021. "Water Quality, Policy Diffusion Effects and Farmers’ Behavior," TSE Working Papers 21-1229, Toulouse School of Economics (TSE).
    73. Giovanni Cerulli, 2014. "Identification and Estimation of Treatment Effects in the Presence of Neighbourhood Interactions," CERIS Working Paper 201404, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    74. Eric Auerbach & Jonathan Auerbach & Max Tabord-Meehan, 2024. "Exposure effects are not automatically useful for policymaking," Papers 2401.06264, arXiv.org, revised Jan 2024.
    75. Yuchen Hu & Stefan Wager, 2022. "Switchback Experiments under Geometric Mixing," Papers 2209.00197, arXiv.org, revised Apr 2024.
    76. Yuchen Hu & Shuangning Li & Stefan Wager, 2021. "Average Direct and Indirect Causal Effects under Interference," Papers 2104.03802, arXiv.org, revised Jan 2022.
    77. L. Liu & M. G. Hudgens & S. Becker-Dreps, 2016. "On inverse probability-weighted estimators in the presence of interference," Biometrika, Biometrika Trust, vol. 103(4), pages 829-842.
    78. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    79. Alejandro Sanchez-Becerra, 2022. "The Network Propensity Score: Spillovers, Homophily, and Selection into Treatment," Papers 2209.14391, arXiv.org.
    80. Charles F. Manski, 2021. "Vaccination Planning under Uncertainty, with Application to Covid-19," NBER Working Papers 28446, National Bureau of Economic Research, Inc.
    81. Seungjin Han & Julius Owusu & Youngki Shin, 2022. "Statistical Treatment Rules under Social Interaction," Papers 2209.09077, arXiv.org, revised Nov 2022.
    82. Noll, Daniel & Dawes, Colleen & Rai, Varun, 2014. "Solar Community Organizations and active peer effects in the adoption of residential PV," Energy Policy, Elsevier, vol. 67(C), pages 330-343.
    83. Marisa Hidalgo-Hidalgo & Dunia López-Pintado, 2023. "The uneven effects of peers on collaborative and individual tasks," Working Papers 23.07, Universidad Pablo de Olavide, Department of Economics.
    84. Hannah Li & Geng Zhao & Ramesh Johari & Gabriel Y. Weintraub, 2021. "Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms," Papers 2104.12222, arXiv.org.
    85. Arun Advani & Bansi Malde, 2014. "Empirical methods for networks data: social effects, network formation and measurement error," IFS Working Papers W14/34, Institute for Fiscal Studies.
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    89. Hidano, Noboru & Hoshino, Tadao & Sugiura, Ayako, 2015. "The effect of seismic hazard risk information on property prices: Evidence from a spatial regression discontinuity design," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 113-122.
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    91. Michael P. Leung, 2020. "Treatment and Spillover Effects Under Network Interference," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 368-380, May.
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  29. Wändi Bruine de Bruin & Charles F. Manski & Giorgio Topa & Wilbert Van der Klaauw, 2009. "Measuring consumer uncertainty about future inflation," Staff Reports 415, Federal Reserve Bank of New York.

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Goldfayn-Frank, Olga & Kieren, Pascal & Trautmann, Stefan, 2024. "A Choice-Based Approach to the Measurement of Inflation Expectations," Working Papers 0742, University of Heidelberg, Department of Economics.
    3. Sergeyev, Dmitriy & Gorodnichenko, Yuriy, 2021. "Zero Lower Bound on Inflation Expectations," CEPR Discussion Papers 16729, C.E.P.R. Discussion Papers.
    4. Antonio Calcagnì & Luigi Lombardi, 2022. "Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(1), pages 145-173, March.
    5. Stefano Eusepi & Giorgio Topa & Andrea Tambalotti & Richard Crump, 2016. "Subjective Intertemporal Substitution," 2016 Meeting Papers 83, Society for Economic Dynamics.
    6. Francesco D’Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2019. "IQ, Expectations, and Choice," NBER Working Papers 25496, National Bureau of Economic Research, Inc.
    7. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of EBC DP 2011-014)," Other publications TiSEM 2b92a09f-918e-4614-978d-0, Tilburg University, School of Economics and Management.
    8. Wilbert van der Klaauw, 2012. "On the Use of Expectations Data in Estimating Structural Dynamic Choice Models," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 521-554.
    9. Naohito Abe & Yuko Ueno, 2016. "The Mechanism of Inflation Expectation Formation among Consumers," UTokyo Price Project Working Paper Series 064, University of Tokyo, Graduate School of Economics.
    10. Robert W. Rich & Joseph Tracy, 2018. "A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area," Working Papers (Old Series) 1813, Federal Reserve Bank of Cleveland.
    11. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2020. "The anchoring of long-term inflation expectations of consumers: insights from a new survey," Working Papers 688, DNB.
    12. Rumler, Fabio & Valderrama, María Teresa, 2020. "Inflation literacy and inflation expectations: Evidence from Austrian household survey data," Economic Modelling, Elsevier, vol. 87(C), pages 8-23.
    13. Sarantis Tsiaplias, 2021. "Consumer inflation expectations, income changes and economic downturns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 784-807, September.
    14. Heiss, Florian & Hurd, Michael & Rossmann, Tobias & Winter, Joachim & van Rooij, Maarten, 2019. "Dynamics and Heterogeneity of Subjective Stock Market Expectations," Rationality and Competition Discussion Paper Series 157, CRC TRR 190 Rationality and Competition.
    15. Wilbert van der Klaauw & Wandi Bruine de Bruin & Giorgio Topa & Basit Zafar & Olivier Armantier, 2012. "Inflation Expectations and Behavior: Do Survey Respondents Act on their Beliefs?," 2012 Meeting Papers 121, Society for Economic Dynamics.
    16. Niu, G., 2014. "Essays on subjective expectations and mortality trends," Other publications TiSEM b9f72836-d8ad-478b-adca-4, Tilburg University, School of Economics and Management.
    17. Xiaoxiao Niu & Nigel Harvey, 2022. "Point, interval, and density forecasts: Differences in bias, judgment noise, and overall accuracy," Futures & Foresight Science, John Wiley & Sons, vol. 4(3-4), September.
    18. Becker, Christoph & Dürsch, Peter & Eife, Thomas A. & Glas, Alexander, 2023. "Households' probabilistic inflation expectations in high-inflation regimes," ZEW Discussion Papers 23-072, ZEW - Leibniz Centre for European Economic Research.
    19. Becker, Christoph & Duersch, Peter & Eife, Thomas, 2023. "Measuring Inflation Expectations: How the Response Scale Shapes Density Forecasts," Working Papers 0723, University of Heidelberg, Department of Economics.
    20. Wändi Bruine de Bruin & Simon M. Potter & Robert W. Rich & Giorgio Topa & Wilbert Van der Klaauw, 2010. "Improving survey measures of household inflation expectations," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 16(Aug/Sep).
    21. Vadim Grishchenko & Diana Gasanova & Egor Fomin & Grigory Korenyak, 2023. "Visible prices and their influence on inflation expectations of Russian households," Bank of Russia Working Paper Series wps117, Bank of Russia.
    22. Manzan, Sebastiano, 2021. "Are professional forecasters Bayesian?," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
    23. MURASAWA Yasutomo, 2010. "Measuring Inflation Expectations Using Interval-Coded Data," ESRI Discussion paper series 236, Economic and Social Research Institute (ESRI).
    24. Nikola Mirkov & Andreas Steinhauer, 2014. "Are subjective distributions in inflation expectations symmetric?," ECON - Working Papers 173, Department of Economics - University of Zurich.
    25. Crosetto, Paolo & de Haan, Thomas, 2023. "Comparing input interfaces to elicit belief distributions," Judgment and Decision Making, Cambridge University Press, vol. 18, pages 1-1, January.
    26. Niu, Xiaoxiao & Harvey, Nigel, 2022. "Context effects in inflation surveys: The influence of additional information and prior questions," International Journal of Forecasting, Elsevier, vol. 38(3), pages 988-1004.
    27. Pfajfar, Damjan & Žakelj, Blaž, 2016. "Uncertainty in forecasting inflation and monetary policy design: Evidence from the laboratory," International Journal of Forecasting, Elsevier, vol. 32(3), pages 849-864.
    28. Armantier, Olivier & Koşar, Gizem & Pomerantz, Rachel & Skandalis, Daphné & Smith, Kyle & Topa, Giorgio & van der Klaauw, Wilbert, 2021. "How economic crises affect inflation beliefs: Evidence from the Covid-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 443-469.
    29. Michael F. Bryan & Brent Meyer & Nicholas B. Parker, 2014. "The inflation expectations of firms: what do they look like, are they accurate, and do they matter?," FRB Atlanta Working Paper 2014-27, Federal Reserve Bank of Atlanta.
    30. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of CentER DP 2011-053)," Other publications TiSEM 38fac5ce-fe8f-4b61-a679-f, Tilburg University, School of Economics and Management.
    31. Dovern, Jonas & Müller, Lena Sophia & Wohlrabe, Klaus, 2023. "Local information and firm expectations about aggregates," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 1-13.
    32. Maurizio Bovi, 2014. "Shocks and the Expectations Formation Process. A Tale of Two Expectations," Natural Field Experiments 00390, The Field Experiments Website.
    33. Gabriele Galati & Peter Heemeijer & Richhild Moessner, 2011. "How do inflation expectations form? New insights from a high-frequency survey," BIS Working Papers 349, Bank for International Settlements.
    34. Yongchen Zhao, 2022. "Uncertainty and disagreement of inflation expectations: Evidence from household‐level qualitative survey responses," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 810-828, July.
    35. Abe, Naohito & Ueno, Yuko, 2016. "The Mechanism of Inflation Expectation Formation among Consumers," RCESR Discussion Paper Series DP16-1, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
    36. Vanessa Martins Valcanover & Igor Bernardi Sonza & Wesley Vieira da Silva, 2020. "Behavioral Finance Experiments: A Recent Systematic Literature Review," SAGE Open, , vol. 10(4), pages 21582440209, November.
    37. Binder Carola Conces, 2017. "Economic policy uncertainty and household inflation uncertainty," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(2), pages 1-20, June.
    38. Nikos Apokoritis & Gabriele Galati & Richhild Moessner & Federica Teppa, 2019. "Inflation expectations anchoring: new insights from micro evidence of a survey at high-frequency and of distributions," BIS Working Papers 809, Bank for International Settlements.
    39. Benjamin K. Johannsen, 2014. "Inflation Experience and Inflation Expectations: Dispersion and Disagreement Within Demographic Groups," Finance and Economics Discussion Series 2014-89, Board of Governors of the Federal Reserve System (U.S.).
    40. Robert W. Rich & Joseph Tracy, 2017. "The behavior of uncertainty and disagreement and their roles in economic prediction: a panel analysis," Staff Reports 808, Federal Reserve Bank of New York.
    41. John Ameriks & Gábor Kézdi & Minjoon Lee & Matthew D. Shapiro, 2020. "Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 633-646, July.
    42. Maurizio Bovi, 2016. "The tale of two expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2677-2705, November.
    43. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.
    44. Vasilii Chsherbakov & Ilia Karpov, 2024. "Regional inflation analysis using social network data," Papers 2403.00774, arXiv.org, revised Mar 2024.
    45. Olivier Armantier & Giorgio Topa & Wilbert Van der Klaauw & Basit Zafar, 2017. "An overview of the Survey of Consumer Expectations," Economic Policy Review, Federal Reserve Bank of New York, issue 23-2, pages 51-72.
    46. Dovern, Jonas, 2015. "A multivariate analysis of forecast disagreement: Confronting models of disagreement with survey data," European Economic Review, Elsevier, vol. 80(C), pages 16-35.
    47. Bruine de Bruin, Wändi & van der Klaauw, Wilbert & van Rooij, Maarten & Teppa, Federica & de Vos, Klaas, 2017. "Measuring expectations of inflation: Effects of survey mode, wording, and opportunities to revise," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 45-58.
    48. Zhao, Yongchen, 2023. "Internal consistency of household inflation expectations: Point forecasts vs. density forecasts," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1713-1735.
    49. Jonas Dovern & Lena Sophia Müller & Klaus Wohlrabe, 2020. "How Do Firms Form Expectations of Aggregate Growth? New Evidence from a Large-Scale Business Survey," CESifo Working Paper Series 8179, CESifo.
    50. Riege, Anine H. & Teigen, Karl Halvor, 2013. "Additivity neglect in probability estimates: Effects of numeracy and response format," Organizational Behavior and Human Decision Processes, Elsevier, vol. 121(1), pages 41-52.
    51. Metiu, Norbert & Prieto, Esteban, 2023. "The macroeconomic effects of inflation uncertainty," Discussion Papers 32/2023, Deutsche Bundesbank.
    52. Bańnkowska, Katarzyna & Borlescu, Ana Maria & Charalambakis, Evangelos & Da Silva, António Dias & Di Laurea, Davide & Dossche, Maarten & Georgarakos, Dimitris & Honkkila, Juha & Kennedy, Neale & Kenny, 2021. "ECB Consumer Expectations Survey: an overview and first evaluation," Occasional Paper Series 287, European Central Bank.
    53. Petra Gerlach & Peter Hördahl & Richhild Moessner, 2011. "Inflation expectations and the great recession," BIS Quarterly Review, Bank for International Settlements, March.
    54. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2021. "Anchoring of consumers’ long-term euro area inflation expectations during the pandemic," Working Papers 715, DNB.

  30. Charles F. Manski, 2009. "WHEN CONSENSUS CHOICE DOMINATES INDIVIDUALISM: Jensen's Inequality and Collective Decisions under Uncertainty," NBER Working Papers 15172, National Bureau of Economic Research, Inc.

    Cited by:

    1. Thomas J. Kniesner & W. Kip Viscusi & James P. Ziliak, 2009. "Policy Relevant Heterogeneity in the Value of Statistical Life: New Evidence from Panel Data Quantile Regressions," Center for Policy Research Working Papers 118, Center for Policy Research, Maxwell School, Syracuse University.
    2. Hanming Fang & Peter Norman, 2014. "Toward an efficiency rationale for the public provision of private goods," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 56(2), pages 375-408, June.
    3. Moshe Ben-Akiva & André Palma & Daniel McFadden & Maya Abou-Zeid & Pierre-André Chiappori & Matthieu Lapparent & Steven Durlauf & Mogens Fosgerau & Daisuke Fukuda & Stephane Hess & Charles Manski & Ar, 2012. "Process and context in choice models," Marketing Letters, Springer, vol. 23(2), pages 439-456, June.
    4. Konstadinos G. Goulias & Ram M. Pendyala, 2014. "Choice context," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 5, pages 101-130, Edward Elgar Publishing.
    5. Nir Billfeld & Moshe Kim, 2019. "Semiparametric correction for endogenous truncation bias with Vox Populi based participation decision," Papers 1902.06286, arXiv.org.
    6. Knüppel, Malte & Krüger, Fabian, 2019. "Forecast uncertainty, disagreement, and the linear pool," Discussion Papers 28/2019, Deutsche Bundesbank.

  31. Charles F. Manski, 2008. "Adaptive partial policy innovation: coping with ambiguity through diversification," CeMMAP working papers CWP10/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. William A. Brock & Charles F. Manski, 2008. "Competitive Lending with Partial Knowledge of Loan Repayment," NBER Working Papers 14378, National Bureau of Economic Research, Inc.
    2. Charles F. Manski, 2008. "Partial Prescriptions For Decisions With Partial Knowledge," NBER Working Papers 14396, National Bureau of Economic Research, Inc.

  32. William A. Brock & Charles F. Manski, 2008. "Competitive Lending with Partial Knowledge of Loan Repayment," NBER Working Papers 14378, National Bureau of Economic Research, Inc.

    Cited by:

    1. Anufriev, Mikhail & Bottazzi, Giulio, 2010. "Market equilibria under procedural rationality," Journal of Mathematical Economics, Elsevier, vol. 46(6), pages 1140-1172, November.
    2. William A. Brock & Charles F. Manski, 2011. "Competitive Lending with Partial Knowledge of Loan Repayment: Some Positive and Normative Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 441-459, March.
    3. Tiziana Assenza & William Brock & Cars Hommes, 2013. "Animal Spirits, Heterogeneous Expectations and the Emergence of Booms and Busts," DISCE - Working Papers del Dipartimento di Economia e Finanza def007, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    4. Ricardo J. Caballero & Alp Simsek, 2009. "Complexity and Financial Panics," NBER Working Papers 14997, National Bureau of Economic Research, Inc.
    5. Alp Simsek & Ricardo Caballero, 2010. "Fire Sales in a Model of Complexity," 2010 Meeting Papers 620, Society for Economic Dynamics.
    6. Assenza, T. & Brock, W.A. & Hommes, C.H., 2012. "Animal Spirits, Heterogeneous Expectations and the Amplification and Duration of Crises," CeNDEF Working Papers 12-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

  33. Manski, Charles & Lach, Saul & Blass, Asher, 2008. "Using Elicited Choice Probabilities to Estimate Random Utility Models: Preferences for Electricity Reliability," CEPR Discussion Papers 7030, C.E.P.R. Discussion Papers.

    Cited by:

    1. Yifan Gong & Ralph Stinebrickner & Todd R. Stinebrickner, 2019. "Marriage, Children, and Labor Supply: Beliefs and Outcomes," NBER Working Papers 26334, National Bureau of Economic Research, Inc.
    2. Romuald Meango, 2023. "Identification of Ex Ante Returns Using Elicited Choice Probabilities," Papers 2303.03009, arXiv.org.
    3. Gizem Koşar & Cormac O'Dea, 2022. "Expectations Data in Structural Microeconomic Models," Staff Reports 1018, Federal Reserve Bank of New York.
    4. Arcidiacono, Peter & Hotz, V. Joseph & Maurel, Arnaud & Romano, Teresa, 2014. "Recovering Ex Ante Returns and Preferences for Occupations using Subjective Expectations Data," IZA Discussion Papers 8549, Institute of Labor Economics (IZA).
    5. Jimenez Mori, Raul Alberto, 2017. "Are Blackout Days Free of Charge?: Valuation of Individual Preferences for Improved Electricity Services," IDB Publications (Working Papers) 8424, Inter-American Development Bank.
    6. Matthew Wiswall & Basit Zafar, 2016. "Preference for the Workplace, Human Capital, and Gender," NBER Working Papers 22173, National Bureau of Economic Research, Inc.
    7. Ralph Stinebrickner & Todd R. Stinebrickner, 2013. "A Major in Science? Initial Beliefs and Final Outcomes for College Major and Dropout," NBER Working Papers 19165, National Bureau of Economic Research, Inc.
    8. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
    9. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    10. Wilbert van der Klaauw, 2012. "On the Use of Expectations Data in Estimating Structural Dynamic Choice Models," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 521-554.
    11. Kassahun, Habtamu Tilahun & Swait, Joffre & Jacobsen, Jette Bredahl, 2021. "Distortions in willingness-to-pay for public goods induced by endemic distrust in institutions," Journal of choice modelling, Elsevier, vol. 39(C).
    12. Frondel, Manuel & Sommer, Stephan & Tomberg, Lukas, 2019. "WTA-WTP disparity: The role of perceived realism of the valuation setting," Ruhr Economic Papers 832, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    13. Agnès Charpin & Josep Amer-Mestre & Noémi Berlin & Magali Dumontet, 2024. "Gender Differences in Early Occupational Choices: Evidence from Medical Specialty Selection," EconomiX Working Papers 2024-5, University of Paris Nanterre, EconomiX.
    14. Chad Kendall & Tommaso Nannicini & Francesco Trebbi, 2013. "How Do Voters Respond to Information? Evidence from a Randomized Campaign," Working Papers 486, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    15. Kettlewell, Nathan & Walker, Matthew J. & Yoo, Hong Il, 2024. "Alternative Models of Preference Heterogeneity for Elicited Choice Probabilities," IZA Discussion Papers 16821, Institute of Labor Economics (IZA).
    16. Baker, Rachel & Bettinger, Eric & Jacob, Brian & Marinescu, Ioana, 2018. "The Effect of Labor Market Information on Community College Students’ Major Choice," Economics of Education Review, Elsevier, vol. 65(C), pages 18-30.
    17. Agarwal, Sandip Kumar, 2017. "Subjective beliefs and decision making under uncertainty in the field," ISU General Staff Papers 201701010800006248, Iowa State University, Department of Economics.
    18. Juerg Schweri, 2021. "Predicting polytomous career choices in healthcare using probabilistic expectations data," Health Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 544-563, March.
    19. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    20. Grazia Cecere & Nicoletta Corrocher & Marco Guerzoni, 2018. "Price or performance? A probabilistic choice analysis of the intention to buy electric vehicles in European countries," Post-Print hal-01883530, HAL.
    21. Morita, Tamaki & Managi, Shunsuke, 2015. "Consumers’ willingness to pay for electricity after the Great East Japan Earthquake," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 82-105.
    22. Pamela Giustinelli, 2016. "Group Decision Making With Uncertain Outcomes: Unpacking Child–Parent Choice Of The High School Track," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 573-602, May.
    23. Matthew Wiswall & Basit Zafar, 2011. "Determinants of college major choice: identification using an information experiment," Staff Reports 500, Federal Reserve Bank of New York.
    24. Yu Zheng & Juan Pantano, 2012. "Using Subjective Expectations Data to Allow for Unobserved Heterogeneity in Hotz-Miller Estimation Strategies," 2012 Meeting Papers 940, Society for Economic Dynamics.
    25. Poinas, François & Méango, Romuald, 2023. "The (Option-)Value of Overstaying," TSE Working Papers 23-1478, Toulouse School of Economics (TSE).
    26. Romauld Méango, 2023. "Identification of ex ante returns using elicited choice probabilities," Economics Series Working Papers 1007, University of Oxford, Department of Economics.
    27. Pedersen, Line Bjørnskov & Mørkbak, Morten Raun & Scarpa, Riccardo, 2020. "Handling resolvable uncertainty from incomplete scenarios in future doctors' job choice – Probabilities vs discrete choices," Journal of choice modelling, Elsevier, vol. 34(C).
    28. Christian A. Vossler & Maurice Doyon & Daniel Rondeau, 2012. "Truth in Consequentiality: Theory and Field Evidence on Discrete Choice Experiments," American Economic Journal: Microeconomics, American Economic Association, vol. 4(4), pages 145-171, November.
    29. Milstein, Irena & Tishler, Asher, 2019. "On the effects of capacity payments in competitive electricity markets: Capacity adequacy, price cap, and reliability," Energy Policy, Elsevier, vol. 129(C), pages 370-385.
    30. Charles F. Manski, 2014. "Identification of income–leisure preferences and evaluation of income tax policy," Quantitative Economics, Econometric Society, vol. 5, pages 145-174, March.
    31. Ruder, Alexander I. & Van Noy, Michelle, 2017. "Knowledge of earnings risk and major choice: Evidence from an information experiment," Economics of Education Review, Elsevier, vol. 57(C), pages 80-90.
    32. Agarwal, Sandip & Jacobs, Keri L. & Weninger, Quinn, 2016. "Elicitation of Subjective Beliefs: A Pilot study of farmers' nitrogen management decision-making in Central Iowa," ISU General Staff Papers 201601010800001005, Iowa State University, Department of Economics.
    33. Pamela Giustinelli & Matthew D. Shapiro, 2018. "SeaTE: Subjective ex ante Treatment Effect of Health on Retirement," Working Papers wp382, University of Michigan, Michigan Retirement Research Center.
    34. Romuald Meango, 2023. "Using Probabilistic Stated Preference Analyses to Understand Actual Choices," Papers 2307.13966, arXiv.org.
    35. Todd R. Stinebrickner & Ralph Stinebrickner, 2011. "Math or Science? Using Longitudinal Expectations Data to Examine the Process of Choosing a College Major," NBER Working Papers 16869, National Bureau of Economic Research, Inc.
    36. Boneva, T. & Golin, M. & Rauh, C., 2021. "Can Perceived Returns Explain Enrollment Gaps in Postgraduate Education?," Cambridge Working Papers in Economics 2140, Faculty of Economics, University of Cambridge.
    37. Conti, G. & Giustinelli, P., 2023. "For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior: An application to lockdown compliance in the United Kingdom," Health, Econometrics and Data Group (HEDG) Working Papers 23/05, HEDG, c/o Department of Economics, University of York.
    38. Peter Arcidiacono & V. Joseph Hotz & Songman Kang, 2010. "Modeling College Major Choices using Elicited Measures of Expectations and Counterfactuals," NBER Working Papers 15729, National Bureau of Economic Research, Inc.
    39. Patrick Lloyd-Smith & Craig Schram & Wiktor Adamowicz & Diane Dupont, 2018. "Endogeneity of Risk Perceptions in Averting Behavior Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(2), pages 217-246, February.
    40. Koşar, Gizem & Ransom, Tyler & van der Klaauw, Wilbert, 2019. "Understanding Migration Aversion Using Elicited Counterfactual Choice Probabilities," IZA Discussion Papers 12271, Institute of Labor Economics (IZA).
    41. Armantier, Olivier & Sbordone, Argia & Topa, Giorgio & van der Klaauw, Wilbert & Williams, John C., 2022. "A new approach to assess inflation expectations anchoring using strategic surveys," Journal of Monetary Economics, Elsevier, vol. 129(S), pages 82-101.
    42. Conti, Gabriella & Giustinelli, Pamela, 2023. "For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior," IZA Discussion Papers 16143, Institute of Labor Economics (IZA).
    43. Schweri, Jürg & Hartog, Joop, 2015. "Do Wage Expectations Influence the Decision to Enroll in Nursing College?," IZA Discussion Papers 9120, Institute of Labor Economics (IZA).
    44. John Ameriks & Joseph S. Briggs & Andrew Caplin & Matthew D. Shapiro & Christopher Tonetti, 2015. "Long-Term-Care Utility and Late-in-Life Saving," NBER Working Papers 20973, National Bureau of Economic Research, Inc.
    45. Franceschinis, Cristiano & Thiene, Mara & Scarpa, Riccardo & Rose, John & Moretto, Michele & Cavalli, Raffaele, 2017. "Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory," Energy, Elsevier, vol. 125(C), pages 313-326.
    46. Collewet, Marion & Koster, Paul, 2023. "Preference estimation from point allocation experiments," Journal of choice modelling, Elsevier, vol. 48(C).
    47. Matthew Wiswall & Basit Zafar, 2018. "Preference for the Workplace, Investment in Human Capital, and Gender," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 457-507.
    48. Michaud, Pierre-Carl & Van Soest, Arthur & Bissonnette, Luc, 2020. "Understanding joint retirement," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 386-401.
    49. Yifan Gong & Todd Stinebrickner & Ralph Stinebrickner & Yuxi Yao, 2022. "The Role of Non-Pecuniary Considerations: Locations Decisions of College Graduates from Low Income Backgrounds," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20221, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    50. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    51. Fujimoto, Takashi & Watanabe, Masahide, 2022. "Comparison of the price adjustment program and subsidy scheme in Japan: Evaluation of domestic sugar support policy to internalize positive externalities," Japan and the World Economy, Elsevier, vol. 61(C).
    52. Delavande, Adeline & Del Bono, Emilia & Holford, Angus, 2022. "Academic and non-academic investments at university: The role of expectations, preferences and constraints," Journal of Econometrics, Elsevier, vol. 231(1), pages 74-97.
    53. Morrissey, Karyn & Plater, Andrew & Dean, Mary, 2018. "The cost of electric power outages in the residential sector: A willingness to pay approach," Applied Energy, Elsevier, vol. 212(C), pages 141-150.
    54. Amoah, Anthony & Ferrini, Silvia & Schaafsma, Marije, 2019. "Electricity outages in Ghana: Are contingent valuation estimates valid?," Energy Policy, Elsevier, vol. 135(C).
    55. Yifan Gong & Todd Stinebrickner & Ralph Stinebrickner, 2020. "Perceived and actual option values of college enrollment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 940-959, November.
    56. Aweke, Abinet Tilahun & Navrud, Ståle, 2022. "Valuing energy poverty costs: Household welfare loss from electricity blackouts in developing countries," Energy Economics, Elsevier, vol. 109(C).
    57. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    58. Woo, C.K. & Ho, T. & Shiu, A. & Cheng, Y.S. & Horowitz, I. & Wang, J., 2014. "Residential outage cost estimation: Hong Kong," Energy Policy, Elsevier, vol. 72(C), pages 204-210.
    59. Matthew Wiswall & Basit Zafar, 2016. "Human capital investments and expectations about career and family," Staff Reports 792, Federal Reserve Bank of New York.
    60. Jamie Hentall MacCuish, 2019. "Costly Attention and Retirement," Papers 1904.06520, arXiv.org, revised Apr 2022.
    61. Wüstenhagen, Rolf & Schleich, Joachim & Rennings, Klaus & Heinzle, Stefanie & Brohmann, Bettina, 2009. "What's Driving Sustainable Energy Consumption? A Survey of the Empirical Literature," ZEW Discussion Papers 09-013, ZEW - Leibniz Centre for European Economic Research.
    62. Ghosh, Ranjan & Goyal, Yugank & Rommel, Jens & Sagebiel, Julian, 2017. "Are small firms willing to pay for improved power supply? Evidence from a contingent valuation study in India," Energy Policy, Elsevier, vol. 109(C), pages 659-665.
    63. Charles F. Manski, 2012. "Identification of Preferences and Evaluation of Income Tax Policy," NBER Working Papers 17755, National Bureau of Economic Research, Inc.
    64. Kim, Kayoung & Nam, Heekoo & Cho, Youngsang, 2015. "Estimation of the inconvenience cost of a rolling blackout in the residential sector: The case of South Korea," Energy Policy, Elsevier, vol. 76(C), pages 76-86.
    65. Bernadeta Gołębiowska, 2020. "Preferences for demand side management—a review of choice experiment studies," Working Papers 2020-05, Faculty of Economic Sciences, University of Warsaw.

  34. Charles F. Manski, 2008. "Partial Prescriptions For Decisions With Partial Knowledge," NBER Working Papers 14396, National Bureau of Economic Research, Inc.

    Cited by:

  35. Charles F Manski, 2007. "Adaptive Minimax-Regret Treatment Choice, with Application to Drug Approval," Levine's Working Paper Archive 122247000000001404, David K. Levine.

    Cited by:

    1. Lihua Lei & Roshni Sahoo & Stefan Wager, 2023. "Policy Learning under Biased Sample Selection," Papers 2304.11735, arXiv.org.
    2. Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.
    3. Lechner, Michael & Frölich, Markus & Behncke, Stefanie, 2007. "Targeting Labour Market Programmes - Results from A Randomised Experiment," CEPR Discussion Papers 6537, C.E.P.R. Discussion Papers.
    4. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2023.
    5. Jeff Dominitz & Charles F. Manski, 2024. "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers 2403.11016, arXiv.org.
    6. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.
    7. García-Pola, Bernardo, 2020. "Do people minimize regret in strategic situations? A level-k comparison," Games and Economic Behavior, Elsevier, vol. 124(C), pages 82-104.
    8. Charles F. Manski & Aleksey Tetenov, 2015. "Clinical trial design enabling e-optimal treatment rules," CeMMAP working papers CWP60/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  36. Joseph Engelberg & Charles F. Manski & Jared Williams, 2006. "Comparing the Point Predictions and Subjective Probability Distributions of Professional Forecasters," NBER Working Papers 11978, National Bureau of Economic Research, Inc.

    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents'forecasts," The Warwick Economics Research Paper Series (TWERPS) 870, University of Warwick, Department of Economics.
    3. Gergely Ganics & Barbara Rossi & Tatevik Sekhposyan, 2019. "From fixed-event to fixed-horizon density forecasts: Obtaining measures of multi-horizon uncertainty from survey density forecasts," Economics Working Papers 1689, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Olesya Grishchenko & Sarah Mouabbi & Jean‐Paul Renne, 2019. "Measuring Inflation Anchoring and Uncertainty: A U.S. and Euro Area Comparison," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1053-1096, August.
    5. Soojin Jo & Rodrigo Sekkel, 2019. "Macroeconomic Uncertainty Through the Lens of Professional Forecasters," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 436-446, July.
    6. Martha Starr, 2012. "Contributions of Economists to the Housing-Price Bubble," Journal of Economic Issues, Taylor & Francis Journals, vol. 46(1), pages 143-172.
    7. Christopher Roth & Johannes Wohlfart, 2020. "How Do Expectations about the Macroeconomy Affect Personal Expectations and Behavior?," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 731-748, October.
    8. Dr Silvia Lui & Dr Martin Weale & Dr. James Mitchell, 2009. "The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys," National Institute of Economic and Social Research (NIESR) Discussion Papers 343, National Institute of Economic and Social Research.
    9. Chua, Chew Lian & Tsiaplias, Sarantis, 2011. "Predicting economic contractions and expansions with the aid of professional forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 438-451, April.
    10. Clements, Michael P., 2014. "Probability distributions or point predictions? Survey forecasts of US output growth and inflation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 99-117.
    11. Pedersen, Michael, 2015. "What affects the predictions of private forecasters? The role of central bank forecasts in Chile," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1043-1055.
    12. Olivier Coibion & Yuriy Gorodnichenko & Rupal Kamdar, 2017. "The Formation of Expectations, Inflation and the Phillips Curve," NBER Working Papers 23304, National Bureau of Economic Research, Inc.
    13. Fernando Borraz & Laura Zacheo, 2018. "Inattention, Disagreement and Internal (In)Consistency of Inflation Forecasts," Documentos de trabajo 2018007, Banco Central del Uruguay.
    14. Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar, 2015. "How Do Firms Form Their Expectations? New Survey Evidence," NBER Working Papers 21092, National Bureau of Economic Research, Inc.
    15. Paul Ruud & Daniel Schunk & Joachim Winter, 2014. "Uncertainty causes rounding: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 17(3), pages 391-413, September.
    16. Maritta Paloviita & Matti Viren, 2013. "Are individual survey expectations internally consistent?," NBP Working Papers 140, Narodowy Bank Polski.
    17. Ana Galvao & James Mitchell, 2021. "Communicating Data Uncertainty: Multi-Wave Experimental Evidence for U.K. GDP," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-06, Economic Statistics Centre of Excellence (ESCoE).
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    157. Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
    158. Li, You & Tay, Anthony, 2021. "The role of macroeconomic and policy uncertainty in density forecast dispersion," Journal of Macroeconomics, Elsevier, vol. 67(C).
    159. Glas, Alexander, 2020. "Five dimensions of the uncertainty–disagreement linkage," International Journal of Forecasting, Elsevier, vol. 36(2), pages 607-627.
    160. Grebe, Moritz & Tillmann, Peter, 2023. "Household Expectations and Dissent Among Policymakers," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277657, Verein für Socialpolitik / German Economic Association.
    161. Stefania D'Amico & Athanasios Orphanides, 2014. "Inflation Uncertainty and Disagreement in Bond Risk Premia," Working Paper Series WP-2014-24, Federal Reserve Bank of Chicago.
    162. Tsyplakov, Alexander, 2014. "Theoretical guidelines for a partially informed forecast examiner," MPRA Paper 55017, University Library of Munich, Germany.
    163. Boskabadi, Elahe, 2022. "Economic policy uncertainty and forecast bias in the survey of professional forecasters," MPRA Paper 115081, University Library of Munich, Germany.
    164. Paul Hubert, 2010. "Monetary policy, imperfect information and the expectations channel [Politique monétaire,information imparfaite et canal des anticipations]," SciencePo Working papers Main tel-04095385, HAL.
    165. Thornton, Rebecca L., 2012. "HIV testing, subjective beliefs and economic behavior," Journal of Development Economics, Elsevier, vol. 99(2), pages 300-313.
    166. João Valle e Azevedo & João Tovar Jalles, 2011. "Rational vs. Professional Forecasts," Working Papers w201114, Banco de Portugal, Economics and Research Department.
    167. Clements, Michael P., 2008. "Rounding of probability forecasts: The SPF forecast probabilities of negative output growth," Economic Research Papers 269880, University of Warwick - Department of Economics.
    168. Dario Rukelj & Barbara Ulloa, 2011. "Incorporating uncertainties into economic forecasts: an application to forecasting economic activity in Croatia," Financial Theory and Practice, Institute of Public Finance, vol. 35(2), pages 140-170.
    169. Arian, Hamid & Moghimi, Mehrdad & Tabatabaei, Ehsan & Zamani, Shiva, 2022. "Encoded Value-at-Risk: A machine learning approach for portfolio risk measurement," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 202(C), pages 500-525.
    170. Zhao, Yongchen, 2023. "Internal consistency of household inflation expectations: Point forecasts vs. density forecasts," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1713-1735.
    171. Huang, Rong & Pilbeam, Keith & Pouliot, William, 2022. "Are macroeconomic forecasters optimists or pessimists? A reassessment of survey based forecasts," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 706-724.
    172. Kostopoulos, Dimitrios & Meyer, Steffen & Uhr, Charline, 2022. "Ambiguity about volatility and investor behavior," Journal of Financial Economics, Elsevier, vol. 145(1), pages 277-296.
    173. Ma, Chao, 2020. "Momentum and Reversion to Fundamentals: Are They Captured by Subjective Expectations of House Prices?," Journal of Housing Economics, Elsevier, vol. 49(C).
    174. Clements, Michael P., 2021. "Rounding behaviour of professional macro-forecasters," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1614-1631.
    175. Giulia Piccillo & Poramapa Poonpakdee, 2021. "Effects of Macro Uncertainty on Mean Expectation and Subjective Uncertainty: Evidence from Households and Professional Forecasters," CESifo Working Paper Series 9486, CESifo.
    176. Kenny, Geoff & Dovern, Jonas, 2017. "The long-term distribution of expected inflation in the euro area: what has changed since the great recession?," Working Paper Series 1999, European Central Bank.
    177. Bańbura, Marta & Brenna, Federica & Paredes, Joan & Ravazzolo, Francesco, 2021. "Combining Bayesian VARs with survey density forecasts: does it pay off?," Working Paper Series 2543, European Central Bank.
    178. Victor Richmond R. Jose & Yael Grushka-Cockayne & Kenneth C. Lichtendahl, 2014. "Trimmed Opinion Pools and the Crowd's Calibration Problem," Management Science, INFORMS, vol. 60(2), pages 463-475, February.
    179. Paul Hubert, 2010. "Monetary Policy, Imperfect Information and the Expectations Channel," Sciences Po publications info:hdl:2441/f4rshpf3v1u, Sciences Po.
    180. Michael P. Clements, 2020. "Are Some Forecasters’ Probability Assessments of Macro Variables Better Than Those of Others?," Econometrics, MDPI, vol. 8(2), pages 1-16, May.
    181. McKenzie, Jordi, 2011. "Mean absolute percentage error and bias in economic forecasting," Economics Letters, Elsevier, vol. 113(3), pages 259-262.
    182. P. Schanbacher, 2014. "Measuring and adjusting for overconfidence," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 37(2), pages 423-452, October.
    183. Sydnee Caldwell & Scott Nelson & Daniel C. Waldinger, 2021. "Tax Refund Uncertainty: Evidence and Welfare Implications," Working Papers 2021-18, Becker Friedman Institute for Research In Economics.

  37. Jeff Dominitz & Charles F. Manski, 2005. "Measuring and Interpreting Expectations of Equity Returns," NBER Working Papers 11313, National Bureau of Economic Research, Inc.

    Cited by:

    1. Breunig, Christoph & Huck, Steffen & Schmidt, Tobias & Weizsäcker, Georg, 2019. "The Standard Portfolio Choice Problem in Germany," Rationality and Competition Discussion Paper Series 171, CRC TRR 190 Rationality and Competition.
    2. Necker, Sarah & Ziegelmeyer, Michael, 2014. "Household Risk Taking after the Financial Crisis," MEA discussion paper series 201402, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    3. Inderst, Roman & Georgarakos, Dimitris, 2014. "Financial Advice and Stock Market Participation," CEPR Discussion Papers 9922, C.E.P.R. Discussion Papers.
    4. Breunig, Christoph & Grabova, Iuliia & Haan, Peter & Weinhardt, Felix & Weizsäcker, Georg, 2019. "Long-run Expectations of Households," Rationality and Competition Discussion Paper Series 218, CRC TRR 190 Rationality and Competition.
    5. Gabriel Desgranges & Stéphane Gauthier, 2013. "Asymmetric Information and Rationalizability," PSE-Ecole d'économie de Paris (Postprint) hal-00780372, HAL.
    6. Tilman H. Drerup & Matthias Wibral & Christian Zimpelmann, 2022. "Skewness Expectations and Portfolio Choice," CRC TR 224 Discussion Paper Series crctr224_2022_333, University of Bonn and University of Mannheim, Germany.
    7. Philippe Bacchetta & Elmar Mertens & Eric van Wincoop, 2006. "Predictability in Financial Markets: What Do Survey Expectations Tell Us?," Working Papers 102006, Hong Kong Institute for Monetary Research.
    8. Olkhov, Victor, 2018. "Expectations, Price Fluctuations and Lorenz Attractor," MPRA Paper 89105, University Library of Munich, Germany.
    9. Olkhov, Victor, 2019. "New Essentials of Economic Theory," MPRA Paper 95065, University Library of Munich, Germany.
    10. Lahiri, Kajal & Sheng, Xuguang, 2010. "Learning and heterogeneity in GDP and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 26(2), pages 265-292, April.
    11. Charles Bellemare & Sabine Kröger & Kouamé Marius Sossou, 2018. "Reporting probabilistic expectations with dynamic uncertainty about possible distributions," Journal of Risk and Uncertainty, Springer, vol. 57(2), pages 153-176, October.
    12. Silvia Balia, 2007. "Reporting expected longevity and smoking: evidence from the SHARE," Health, Econometrics and Data Group (HEDG) Working Papers 07/10, HEDG, c/o Department of Economics, University of York.
    13. Thomas Bridges & Frank Stafford, 2012. "At the Corner of Main and Wall Street: Family Pension Responses to Liquidity Change and Perceived Returns," Working Papers wp282, University of Michigan, Michigan Retirement Research Center.
    14. Jos'e Raimundo Carvalho & Diego de Maria Andr'e & Yuri Costa, 2023. "Individual Updating of Subjective Probability of Homicide Victimization: a "Natural Experiment'' on Risk Communication," Papers 2312.08171, arXiv.org.
    15. Silvija Vlah Jerić & Mihovil Anđelinović, 2019. "Evaluating Croatian stock index forecasts," Empirical Economics, Springer, vol. 56(4), pages 1325-1339, April.
    16. Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008. "Rethinking the measurement of household inflation expectations: preliminary findings," Staff Reports 359, Federal Reserve Bank of New York.
    17. Luis Armona & Andreas Fuster & Basit Zafar, 2016. "Home price expectations and behavior: evidence from a randomized information experiment," Staff Reports 798, Federal Reserve Bank of New York.
    18. Milo Bianchi & Philippe Jehiel, 2019. "Bundling, Belief Dispersion, and Mispricing in Financial Markets," PSE Working Papers halshs-02183306, HAL.
    19. Victor Olkhov, 2020. "Price, Volatility and the Second-Order Economic Theory," Papers 2009.14278, arXiv.org, revised Apr 2021.
    20. Heiss, Florian & Hurd, Michael & Rossmann, Tobias & Winter, Joachim & van Rooij, Maarten, 2019. "Dynamics and Heterogeneity of Subjective Stock Market Expectations," Rationality and Competition Discussion Paper Series 157, CRC TRR 190 Rationality and Competition.
    21. Niu, G., 2014. "Essays on subjective expectations and mortality trends," Other publications TiSEM b9f72836-d8ad-478b-adca-4, Tilburg University, School of Economics and Management.
    22. Bernard, Sabine & Loos, Benjamin & Weber, Martin, 2021. "The disposition effect in boom and bust markets," SAFE Working Paper Series 305, Leibniz Institute for Financial Research SAFE.
    23. Robin Greenwood & Andrei Shleifer, 2014. "Expectations of Returns and Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 714-746.
    24. Luc Arrondel & André Masson, 2017. "Why does household demand for shares decline during the crisis? The French case," PSE-Ecole d'économie de Paris (Postprint) hal-01784320, HAL.
    25. Bing Chen & Frank P. Stafford, 2016. "Stock Market Participation: Family Responses to Housing Consumption Commitments," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(4), pages 635-659, June.
    26. Michael D. Hurd & Susann Rohwedder, 2012. "Stock Price Expectations and Stock Trading," NBER Working Papers 17973, National Bureau of Economic Research, Inc.
    27. Bhalotra, Sonia & Delavande, Adeline & Font-Gilabert, Paulino & Maselko, Joanna, 2022. "Maternal Investments in Children : The Role of Expected Effort and Returns," The Warwick Economics Research Paper Series (TWERPS) 1423, University of Warwick, Department of Economics.
    28. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2009. "Higher-order beliefs among professional stock market forecasters: some first empirical tests," ZEW Discussion Papers 09-042, ZEW - Leibniz Centre for European Economic Research.
    29. Milo Bianchi & Philippe Jehiel, 2015. "Financial reporting and market efficiency with extrapolative investors," Post-Print halshs-01156413, HAL.
    30. Briggs, Joseph & Cesarini, David & Lindqvist, Erik & Östling, Robert, 2015. "Windfall Gains and Stock Market Participation," Working Paper Series 1092, Research Institute of Industrial Economics.
    31. M. Hashem Pesaran & Ida Johnsson, 2020. "Double-Question Survey Measures for the Analysis of Financial Bubbles and Crashes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 428-442, April.
    32. Pamela Giustinelli & Charles F. Manski, 2018. "Survey Measures Of Family Decision Processes For Econometric Analysis Of Schooling Decisions," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 81-99, January.
    33. Luc Bissonnette & Arthur van Soest, 2012. "The future of retirement and the pension system: How the public’s expectations vary over time and across socio-economic groups," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-21, December.
    34. Harrison, Glenn W. & Martínez-Correa, Jimmy & Swarthout, J. Todd & Ulm, Eric R., 2017. "Scoring rules for subjective probability distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 430-448.
    35. Fezzi, Carlo & Menapace, Luisa & Raffaelli, Roberta, 2021. "Estimating risk preferences integrating insurance choices with subjective beliefs," European Economic Review, Elsevier, vol. 135(C).
    36. Shin, Michael, 2021. "Subjective expectations, experiences, and stock market participation: Evidence from the lab," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 672-689.
    37. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1397-1532, Elsevier.
    38. Gerhard, Patrick & Hoffmann, Arvid O.I. & Post, Thomas, 2017. "Past performance framing and investors’ belief updating: Is seeing long-term returns always associated with smaller belief updates?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 15(C), pages 38-51.
    39. Olkhov, Victor, 2019. "New Essentials of Economic Theory I. Assumptions, Economic Space and Variables," MPRA Paper 94874, University Library of Munich, Germany.
    40. Olkhov, Victor, 2019. "New essentials of economic theory II. Economic transactions, expectations and asset pricing," MPRA Paper 93428, University Library of Munich, Germany.
    41. Guiso, Luigi & Zingales, Luigi & Sapienza, Paola, 2005. "Trusting the Stock Market," CEPR Discussion Papers 5288, C.E.P.R. Discussion Papers.
    42. Gene Amromin & Steven A. Sharpe, 2005. "From the horse’s mouth: gauging conditional expected stock returns from investor surveys," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
    43. Marini, Annalisa, 2016. "Cultural Beliefs, Values and Economics: A Survey," MPRA Paper 69747, University Library of Munich, Germany.
    44. Gene Amromin & Steven A. Sharpe, 2012. "From the horse’s mouth: how do investor expectations of risk and return vary with economic conditions?," Working Paper Series WP-2012-08, Federal Reserve Bank of Chicago.
    45. Olkhov, Victor, 2019. "New Essentials of Economic Theory III. Economic Applications," MPRA Paper 94053, University Library of Munich, Germany.
    46. Brückbauer, Frank, 2022. "Do financial market experts know their theory? New evidence from survey data," ZEW Discussion Papers 20-092, ZEW - Leibniz Centre for European Economic Research, revised 2022.
    47. El-Attar, Mayssun & Poschke, Markus, 2010. "Trust and the Choice Between Housing and Financial Assets: Evidence from Spanish Households," IZA Discussion Papers 5246, Institute of Labor Economics (IZA).
    48. Eyting, Markus & Schmidt, Patrick, 2021. "Belief elicitation with multiple point predictions," European Economic Review, Elsevier, vol. 135(C).
    49. Miles Kimball, 2015. "Cognitive Economics," The Japanese Economic Review, Japanese Economic Association, vol. 66(2), pages 167-181, June.
    50. Victor Olkhov, 2019. "Econophysics of Asset Price, Return and Multiple Expectations," Papers 1901.05024, arXiv.org, revised Sep 2020.
    51. Milo Bianchi & Philippe Jehiel, 2020. "Bundlers Dilemmas in Financial Markets with Sampling Investors," Post-Print hal-02909219, HAL.
    52. Adeline Delavande, 2008. "Measuring revisions to subjective expectations," Journal of Risk and Uncertainty, Springer, vol. 36(1), pages 43-82, February.
    53. Gene Amromin & Steven A. Sharpe, 2009. "Expectations of risk and return among household investors: Are their Sharpe ratios countercyclical?," Proceedings, Federal Reserve Bank of San Francisco, issue Jan.
    54. Pesaran, M. Hashem & Weale, Martin, 2006. "Survey Expectations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 14, pages 715-776, Elsevier.
    55. Alycia Chin & Wändi Bruin, 2017. "Understanding the Formation of Consumers' Stock Market Expectations," Journal of Consumer Affairs, Wiley Blackwell, vol. 51(1), pages 200-210, March.
    56. Bhalotra, Sonia & Delavande, Adeline & Font-Gilabert, Paulino & Maselko, Joanna, 2022. "Maternal Investments in Children : The Role of Expected Effort and Returns," CAGE Online Working Paper Series 637, Competitive Advantage in the Global Economy (CAGE).
    57. Sarantis Tsiaplias & Qi Zeng & Guay C. Lim, 2023. "Retail Investor Trading Intentions: New Evidence from Australia," The Economic Record, The Economic Society of Australia, vol. 99(327), pages 512-535, December.
    58. Alistair Macaulay & James Moberly, 2022. "Heterogeneity in imperfect inflation expectations:theory and evidence from a novel survey," Economics Series Working Papers 970, University of Oxford, Department of Economics.
    59. Sarantis Tsiaplias & Qi Zeng & Guay Lim, 2021. "Retail investor expectations and trading preferences," Melbourne Institute Working Paper Series wp2021n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    60. Arvid O. I. Hoffmann & Thomas Post & Tom Smith, 2017. "How return and risk experiences shape investor beliefs and preferences," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(3), pages 759-788, September.
    61. Olkhov, Victor, 2019. "Methods of Economic Theory: Variables, Transactions and Expectations as Functions of Risks," MPRA Paper 95628, University Library of Munich, Germany.
    62. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2013. "What do professional forecasters' stock market expectations tell us about herding, information extraction and beauty contests?," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 109-129.
    63. Gene Amromin & Steven A. Sharpe, 2014. "From the Horse's Mouth: Economic Conditions and Investor Expectations of Risk and Return," Management Science, INFORMS, vol. 60(4), pages 845-866, April.
    64. Pfajfar, D. & Santoro, E., 2008. "Asymmetries in Inflation Expectation Formation Across Demographic Groups," Cambridge Working Papers in Economics 0824, Faculty of Economics, University of Cambridge.
    65. Brooke Helppie McFall & Amanda Sonnega & Robert J. Willis & Peter Hudomiet, 2015. "Occupations and Work Characteristics: Effects on Retirement Expectations and Timing," Working Papers wp331, University of Michigan, Michigan Retirement Research Center.
    66. Florian Peters & Simas Kucinskas, 2018. "Measuring Biases in Expectation Formation," Tinbergen Institute Discussion Papers 18-058/IV, Tinbergen Institute.
    67. Haliassos, Michael & Reiter, Michael, 2005. "Trusting the stock market," CFS Working Paper Series 2005/27, Center for Financial Studies (CFS).
    68. Damjan Pfajfar & Emiliano Santoro, 2007. "Heterogeneity, Asymmetries and Learning in InfIation Expectation Formation: An Empirical Assessment," Money Macro and Finance (MMF) Research Group Conference 2006 123, Money Macro and Finance Research Group.
    69. Luc Arrondel & Jérôme Coffinet, 2018. "Demand For Stocks in the Crisis: France 2004-2014," PSE Working Papers halshs-01785324, HAL.
    70. Victor Olkhov, 2019. "Financial Variables, Market Transactions, and Expectations as Functions of Risk," IJFS, MDPI, vol. 7(4), pages 1-27, November.
    71. Paiella, Monica, 2016. "Financial literacy and subjective expectations questions: A validation exercise," Research in Economics, Elsevier, vol. 70(2), pages 360-374.
    72. Robin L. Lumsdaine & Rogier J.D. Potter van Loon, 2013. "Wall Street vs. Main Street: An Evaluation of Probabilities," NBER Working Papers 19103, National Bureau of Economic Research, Inc.
    73. Andreas Oehler & Julian Schneider, 2022. "Gambling with lottery stocks?," Journal of Asset Management, Palgrave Macmillan, vol. 23(6), pages 477-503, October.
    74. Gene Birz & Sandip Dutta & Han Yu, 2022. "Economic forecasts, anchoring bias, and stock returns," Financial Management, Financial Management Association International, vol. 51(1), pages 169-191, March.
    75. Alessandro Bucciol & Raffaele Miniaci & Sergio Pastorello, 2015. "Return Expectations and Risk Aversion Heterogeneity in Household Portfolios," Working Papers 01/2015, University of Verona, Department of Economics.
    76. Afik, Zvika & Lahav, Yaron, 2015. "Thinking near and far: Modeling the formation of traders’ beliefs in asset markets using experimental data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 57(C), pages 73-80.
    77. von Gaudecker, Hans-Martin & Wogrolly, Axel, 2022. "Heterogeneity in households’ stock market beliefs," Journal of Econometrics, Elsevier, vol. 231(1), pages 232-247.
    78. Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.

  38. Charles F. Manski, 2005. "Search Profiling with Partial Knowledge of Deterrence," NBER Working Papers 11848, National Bureau of Economic Research, Inc.

    Cited by:

    1. Jeff Dominitz & John Knowles, 2005. "Crime Minimization and Racial Bias: What Can We Learn From Police Search Data?," PIER Working Paper Archive 05-019, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    2. William A. Brock & Steven N. Durlauf & James M. Nason & Giacomo Rondina, 2007. "Simple versus optimal rules as guides to policy," FRB Atlanta Working Paper 2007-07, Federal Reserve Bank of Atlanta.
    3. Stoye, Jörg, 2012. "Minimax regret treatment choice with covariates or with limited validity of experiments," Journal of Econometrics, Elsevier, vol. 166(1), pages 138-156.
    4. Charles F. Manski, 2014. "Choosing Size of Government Under Ambiguity: Infrastructure Spending and Income Taxation," Economic Journal, Royal Economic Society, vol. 0(576), pages 359-376, May.
    5. Lechner, Michael & Frölich, Markus & Behncke, Stefanie, 2007. "Targeting Labour Market Programmes - Results from A Randomised Experiment," CEPR Discussion Papers 6537, C.E.P.R. Discussion Papers.
    6. Brendan O'Flaherty & Rajiv Sethi & Morgan Williams, 2024. "The nature, detection, and avoidance of harmful discrimination in criminal justice," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 43(1), pages 289-320, January.
    7. Nicola Persico & Petra Todd, 2004. "Using Hit Rate Tests to Test for Racial Bias in Law Enforcement: Vehicle Searches in Wichita," NBER Working Papers 10947, National Bureau of Economic Research, Inc.
    8. William A. Brock & Charles F. Manski, 2011. "Competitive Lending with Partial Knowledge of Loan Repayment: Some Positive and Normative Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 441-459, March.
    9. William A. Brock & Charles F. Manski, 2008. "Competitive Lending with Partial Knowledge of Loan Repayment," NBER Working Papers 14378, National Bureau of Economic Research, Inc.
    10. Stoye, Jörg, 2009. "Minimax regret treatment choice with finite samples," Journal of Econometrics, Elsevier, vol. 151(1), pages 70-81, July.
    11. Charles F. Manski, 2008. "Partial Prescriptions For Decisions With Partial Knowledge," NBER Working Papers 14396, National Bureau of Economic Research, Inc.
    12. Brock, William A. & Cooley, Jane & Durlauf, Steven N. & Navarro, Salvador, 2012. "On the observational implications of taste-based discrimination in racial profiling," Journal of Econometrics, Elsevier, vol. 166(1), pages 66-78.
    13. Nicolás Grau & Damián Vergara, "undated". "A Simple Test for Prejudice in Decision Processes: The Prediction-Based Outcome Test," Working Papers wp493, University of Chile, Department of Economics.
    14. Charles F. Manski, 2005. "Optimal Search Profiling with Linear Deterrence," American Economic Review, American Economic Association, vol. 95(2), pages 122-126, May.
    15. Nicola Persico & Petra Todd, 2005. "Using Hit Rates to Test for Racial Bias in Law Enforcement: Vehicle Searches in Wichita," PIER Working Paper Archive 05-004, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    16. Garrett, Daniel F., 2014. "Robustness of simple menus of contracts in cost-based procurement," Games and Economic Behavior, Elsevier, vol. 87(C), pages 631-641.
    17. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    18. Juliano Assuncao & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," Working Papers tecipa-631, University of Toronto, Department of Economics.
    19. Charles F. Manski, 2008. "Adaptive partial policy innovation: coping with ambiguity through diversification," CeMMAP working papers CWP10/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  39. Charles F. Manski, 2004. "Interpreting the Predictions of Prediction Markets," NBER Working Papers 10359, National Bureau of Economic Research, Inc.

    Cited by:

    1. Paul J. Healy & Sera Linardi & J. Richard Lowery & John O. Ledyard, 2010. "Prediction Markets: Alternative Mechanisms for Complex Environments with Few Traders," Management Science, INFORMS, vol. 56(11), pages 1977-1996, November.
    2. Steven Gjerstad, 2004. "Risk Aversion, Beliefs, and Prediction Market Equilibrium," Microeconomics 0411002, University Library of Munich, Germany.
    3. Wolfers, Justin & Zitzewitz, Eric, 2006. "Prediction Markets in Theory and Practice," Research Papers 1927, Stanford University, Graduate School of Business.
    4. Pietro Dindo & Filippo Massari, 2017. "The Wisdom of the Crowd in Dynamic Economies," Working Papers 2017:17, Department of Economics, University of Venice "Ca' Foscari", revised 2018.
    5. Werner Antweiler, 2012. "Long-Term Prediction Markets," Journal of Prediction Markets, University of Buckingham Press, vol. 6(3), pages 43-61.
    6. Agustin Casas & Yarine Fawaz & Andre Trindade, 2016. "Surprise Me If You Can: The Influence Of Newspaper Endorsements In U.S. Presidential Elections," Economic Inquiry, Western Economic Association International, vol. 54(3), pages 1484-1498, July.
    7. J Reade & C Singleton & L Vaughan Williams, 2020. "Betting Markets for English Premier League Results and Scorelines: Evaluating a Simple Forecasting Model," Economic Issues Journal Articles, Economic Issues, vol. 25(1), pages 87-106, March.
    8. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    9. Marco Ottaviani & Peter Norman Sørensen, 2015. "Price Reaction to Information with Heterogeneous Beliefs and Wealth Effects: Underreaction, Momentum, and Reversal," American Economic Review, American Economic Association, vol. 105(1), pages 1-34, January.
    10. He, Xue-Zhong & Treich, Nicolas, 2012. "Heterogeneous Beliefs and Prediction Market Accuracy," IDEI Working Papers 775, Institut d'Économie Industrielle (IDEI), Toulouse.
    11. Siemroth, Christoph, 2014. "Why prediction markets work : the role of information acquisition and endogenous weighting," Working Papers 14-29, University of Mannheim, Department of Economics.
    12. Wolfers, Justin & Zitzewitz, Eric, 2006. "Interpreting Prediction Market Prices as Probabilities," IZA Discussion Papers 2092, Institute of Labor Economics (IZA).
    13. Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2012. "Prediction Markets for Economic Forecasting," CESifo Working Paper Series 3884, CESifo.
    14. Stefan Palan & Jürgen Huber & Larissa Senninger, 2020. "Aggregation mechanisms for crowd predictions," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 788-814, September.
    15. John Fountain & Glenn Harrison, 2011. "What do prediction markets predict?," Applied Economics Letters, Taylor & Francis Journals, vol. 18(3), pages 267-272.
    16. Ray Fair & Cowles Discussion & Yale Working, 2006. "Interpreting the Predictive Uncertainty of Elections," Yale School of Management Working Papers amz2643, Yale School of Management, revised 01 Aug 2007.
    17. Wilbert van der Klaauw & Wandi Bruine de Bruin & Giorgio Topa & Basit Zafar & Olivier Armantier, 2012. "Inflation Expectations and Behavior: Do Survey Respondents Act on their Beliefs?," 2012 Meeting Papers 121, Society for Economic Dynamics.
    18. Albert N. Link & John T. Scott, 2009. "Private Investor Participation and Commercialization Rates for Government‐sponsored Research and Development: Would a Prediction Market Improve the Performance of the SBIR Programme?," Economica, London School of Economics and Political Science, vol. 76(302), pages 264-281, April.
    19. Boulu-Reshef, Béatrice & Comeig, Irene & Donze, Robert & Weiss, Gregory D., 2016. "Risk aversion in prediction markets: A framed-field experiment," Journal of Business Research, Elsevier, vol. 69(11), pages 5071-5075.
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    Cited by:

    1. Ran Zhang & Zhonghua Wei & Heng Gu & Shi Qiu, 2021. "Behavior Evolution of Multi-Group in the Process of Pedestrian Crossing Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    2. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    3. Avineri, Erel & Shinar, David & Susilo, Yusak O., 2011. "Pedestrians’ behaviour in cross walks: The effects of fear of falling and age," Working papers in Transport Economics 2011:18, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    4. Wafaa Saleh & Monika Grigorova & Samia Elattar, 2020. "Pedestrian Road Crossing at Uncontrolled Mid-Block Locations: Does the Refuge Island Increase Risk?," Sustainability, MDPI, vol. 12(12), pages 1-16, June.
    5. Yang, Jianguo & Deng, Wen & Wang, Jinmei & Li, Qingfeng & Wang, Zhaoan, 2006. "Modeling pedestrians' road crossing behavior in traffic system micro-simulation in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(3), pages 280-290, March.
    6. Raul Almeida & Emanuel Sousa & Dário Machado & Frederico Pereira & Susana Faria & Elisabete Freitas, 2024. "Analysis of the Interaction between Humans and Autonomous Vehicles Equipped with External Human–Machine Interfaces: The Effect of an Experimental Reward Mechanism on Pedestrian Crossing Behavior in a ," Sustainability, MDPI, vol. 16(8), pages 1-23, April.

  41. Guido Imbens & Charles F. Manski, 2003. "Confidence intervals for partially identified parameters," CeMMAP working papers 09/03, Institute for Fiscal Studies.

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    24. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2014. "Inference for functions of partially identified parameters in moment inequality models," CeMMAP working papers CWP05/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    27. Amin, Vikesh & Behrman, Jere R. & Fletcher, Jason M. & Flores, Carlos A. & Flores-Lagunes, Alfonso & Kohler, Hans-Peter, 2022. "Does Schooling Improve Cognitive Abilities at Older Ages: Causal Evidence from Nonparametric Bounds," IZA Discussion Papers 15371, Institute of Labor Economics (IZA).
    28. Sokbae (Simon) Lee & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2014. "Testing for a general class of functional inequalities," CeMMAP working papers CWP09/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    32. Zahra Siddique, 2013. "Partially Identified Treatment Effects Under Imperfect Compliance: The Case of Domestic Violence," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(502), pages 504-513, June.
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    34. Pablo Mitnik & David Grusky, 2018. "The Intergenerational Elasticity of What? The Case for Redefining the Workhorse Measure of Economic Mobility," Working Papers 2018-043, Human Capital and Economic Opportunity Working Group.
    35. Francine D. Blau & Lawrence M. Kahn & Nikolai Boboshko & Matthew Comey, 2021. "The Impact of Selection into the Labor Force on the Gender Wage Gap," Discussion Papers of DIW Berlin 1946, DIW Berlin, German Institute for Economic Research.
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    37. Nirav Mehta, 2022. "A Partial Identification Approach to Identifying the Determinants of Human Capital Accumulation: An Application to Teachers," CESifo Working Paper Series 9681, CESifo.
    38. Locks, Gedeão & Thuilliez, Josselin, 2023. "The impact of minimum income on homelessness: Evidence from France," Journal of Urban Economics, Elsevier, vol. 135(C).
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    42. John Engberg & Dennis Epple & Jason Imbrogno & Holger Sieg & Ron Zimmer, 2014. "Evaluating Education Programs That Have Lotteried Admission and Selective Attrition," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 27-63.
    43. Charles F. Manski & John V. Pepper, 2015. "How Do Right-To-Carry Laws Affect Crime Rates? Coping With Ambiguity Using Bounded-Variation Assumptions," NBER Working Papers 21701, National Bureau of Economic Research, Inc.
    44. Supriya Tiwari & Pallavi Basu, 2024. "Quasi-randomization tests for network interference," Papers 2403.16673, arXiv.org.
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    47. Timothy J. Halliday, 2010. "Mismeasured Household Size and its Implications for the Identification of Economies of Scale," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(2), pages 246-262, April.
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    75. Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," Working Papers 2201, Tulane University, Department of Economics.
    76. Charles F. Manski, 2005. "Search Profiling with Partial Knowledge of Deterrence," NBER Working Papers 11848, National Bureau of Economic Research, Inc.
    77. Jörg Stoye, 2011. "Statistical decisions under ambiguity," Theory and Decision, Springer, vol. 70(2), pages 129-148, February.
    78. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    79. Kindy R. Sjahrir, 2018. "Formulating Regional Competitiveness Fiscal Policy based upon Leverage Factors for Indonesian Data," Working Papers in Economics and Development Studies (WoPEDS) 201804, Department of Economics, Padjadjaran University, revised Dec 2018.
    80. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    81. Maximilian Blesch & Philipp Eisenhauer, 2021. "Robust decision-making under risk and ambiguity," Papers 2104.12573, arXiv.org, revised Oct 2021.
    82. Dahlstrand Rudin, Amanda, 2022. "Defying distance? The provision of services in the digital age," LSE Research Online Documents on Economics 118042, London School of Economics and Political Science, LSE Library.
    83. Chunrong Ai & Yue Fang & Haitian Xie, 2024. "Data-driven Policy Learning for a Continuous Treatment," Papers 2402.02535, arXiv.org.
    84. Charles F. Manski & Aleksey Tetenov, 2020. "Statistical Decision Properties of Imprecise Trials Assessing COVID-19 Drugs," Papers 2006.00343, arXiv.org.
    85. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927, Cowles Foundation for Research in Economics, Yale University.
    86. Guido Imbens, 2014. "Instrumental Variables: An Econometrician's Perspective," NBER Working Papers 19983, National Bureau of Economic Research, Inc.
    87. Iverson, Terrence, 2012. "Communicating Trade-offs amid Controversial Science: Decision Support for Climate Policy," Ecological Economics, Elsevier, vol. 77(C), pages 74-90.
    88. Toru Kitagawa & Aleksey Tetenov, 2017. "Equality-minded treatment choice," CeMMAP working papers 10/17, Institute for Fiscal Studies.
    89. Daido Kido, 2023. "Incorporating Preferences Into Treatment Assignment Problems," Papers 2311.08963, arXiv.org.
    90. Sergio Firpo & Antonio F. Galvao & Martyna Kobus & Thomas Parker & Pedro Rosa-Dias, 2020. "Loss aversion and the welfare ranking of policy interventions," Papers 2004.08468, arXiv.org, revised Sep 2023.
    91. Jeff Dominitz & Charles F. Manski, 2024. "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers 2403.11016, arXiv.org.
    92. Carlos Fern'andez-Lor'ia & Foster Provost & Jesse Anderton & Benjamin Carterette & Praveen Chandar, 2020. "A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation," Papers 2004.11532, arXiv.org, revised Apr 2022.
    93. Karun Adusumilli & Friedrich Geiecke & Claudio Schilter, 2019. "Dynamically Optimal Treatment Allocation using Reinforcement Learning," Papers 1904.01047, arXiv.org, revised May 2022.
    94. Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017. "A Theory of Experimenters," NBER Working Papers 23867, National Bureau of Economic Research, Inc.
    95. Charles F. Manski, 2020. "Towards Reasonable Patient Care Under Uncertainty," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 227-245, April.
    96. Raghu Suryanarayanan, 2006. "Implications of Anticipated Regret and Endogenous Beliefs for Equilibrium Asset Prices: A Theoretical Framework," CSEF Working Papers 162, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    97. Keisuke Hirano & Jack R. Porter, 2012. "Impossibility Results for Nondifferentiable Functionals," Econometrica, Econometric Society, vol. 80(4), pages 1769-1790, July.
    98. Nemati, Mehdi & Buck, Steven & Soldati, Hilary, 2017. "The Effect of Social and Consumption Analytics on Residential Water Demand," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252738, Southern Agricultural Economics Association.
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    103. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
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    118. Juan Carlos Perdomo, 2023. "The Relative Value of Prediction in Algorithmic Decision Making," Papers 2312.08511, arXiv.org.
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    120. Stoye, Jörg, 2011. "Axioms for minimax regret choice correspondences," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2226-2251.
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    124. Alexei Parakhonyak & Anton Sobolev, 2022. "Persuasion without Priors," Economics Series Working Papers 977, University of Oxford, Department of Economics.
    125. Carlos Fernández-Loría & Foster Provost & Jesse Anderton & Benjamin Carterette & Praveen Chandar, 2023. "A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation," Information Systems Research, INFORMS, vol. 34(2), pages 786-803, June.
    126. Charles F. Manski, 2018. "Reasonable patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1397-1421, October.
    127. Lai Xinglin, 2021. "Modelling hetegeneous treatment effects by quantitle local polynomial decision tree and forest," Papers 2111.15320, arXiv.org, revised Mar 2022.
    128. Giovanni Cerulli, 2020. "Optimal Policy Learning: From Theory to Practice," Papers 2011.04993, arXiv.org.
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    131. Bas van der Klaauw & Sandra Vriend, 2015. "A Nonparametric Method for Predicting Survival Probabilities," Tinbergen Institute Discussion Papers 15-126/V, Tinbergen Institute.
    132. Aleksey Tetenov, 2016. "An economic theory of statistical testing," CeMMAP working papers CWP50/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    133. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised Dec 2023.
    134. Yuchen Hu & Henry Zhu & Emma Brunskill & Stefan Wager, 2024. "Minimax-Regret Sample Selection in Randomized Experiments," Papers 2403.01386, arXiv.org.
    135. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2014. "Complementarity and aggregate implications of assortative matching: A nonparametric analysis," Quantitative Economics, Econometric Society, vol. 5, pages 29-66, March.
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    137. Raghu Suryanarayanan, 2006. "A Model of Anticipated Regret and Endogenous Beliefs," CSEF Working Papers 161, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 01 Dec 2008.
    138. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.
    139. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers 36/17, Institute for Fiscal Studies.
    140. Anders Bredahl Kock & David Preinerstorfer, 2024. "Regularizing Discrimination in Optimal Policy Learning with Distributional Targets," Papers 2401.17909, arXiv.org.
    141. Maximilian Blesch & Philipp Eisenhauer, 2023. "Robust Decision-Making under Risk and Ambiguity," Rationality and Competition Discussion Paper Series 463, CRC TRR 190 Rationality and Competition.
    142. Charles F. Manski, 2017. "Optimize, satisfice, or choose without deliberation? A simple minimax-regret assessment," Theory and Decision, Springer, vol. 83(2), pages 155-173, August.
    143. Shosei Sakaguchi, 2024. "Robust Learning for Optimal Dynamic Treatment Regimes with Observational Data," Papers 2404.00221, arXiv.org.
    144. García-Pola, Bernardo, 2020. "Do people minimize regret in strategic situations? A level-k comparison," Games and Economic Behavior, Elsevier, vol. 124(C), pages 82-104.
    145. Brock,W.A. & Durlauf,S.N., 2004. "Local robustness analysis : theory and application," Working papers 22, Wisconsin Madison - Social Systems.
    146. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    147. Charles F. Manski, 2019. "Meta-Analysis for Medical Decisions," NBER Working Papers 25504, National Bureau of Economic Research, Inc.
    148. Evan Sadler, 2015. "Minimax and the value of information," Theory and Decision, Springer, vol. 78(4), pages 575-586, April.
    149. Daido Kido, 2022. "Distributionally Robust Policy Learning with Wasserstein Distance," Papers 2205.04637, arXiv.org, revised Aug 2022.
    150. Durlauf,S.N., 2005. "Assessing racial profiling," Working papers 2, Wisconsin Madison - Social Systems.
    151. Toru Kitagawa & Weining Wang & Mengshan Xu, 2022. "Policy Choice in Time Series by Empirical Welfare Maximization," Papers 2205.03970, arXiv.org, revised Jun 2023.
    152. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," PIER Working Paper Archive 20-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
      • Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
    153. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Causal Machine-Learning Approach," Papers 2103.10251, arXiv.org, revised Sep 2021.
    154. Riccardo D'Adamo, 2021. "Orthogonal Policy Learning Under Ambiguity," Papers 2111.10904, arXiv.org, revised Dec 2022.
    155. Jiamin Wang, 2012. "Robust optimization analysis for multiple attribute decision making problems with imprecise information," Annals of Operations Research, Springer, vol. 197(1), pages 109-122, August.
    156. Aleksey Tetenov, 2016. "An economic theory of statistical testing," CeMMAP working papers 50/16, Institute for Fiscal Studies.
    157. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    158. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    159. Toru Kitagawa & Jeff Rowley, 2022. "von Mises-Fisher distributions and their statistical divergence," Papers 2202.05192, arXiv.org, revised Nov 2022.
    160. Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.
    161. Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    162. Kock, Anders Bredahl & Preinerstorfer, David & Veliyev, Bezirgen, 2023. "Treatment recommendation with distributional targets," Journal of Econometrics, Elsevier, vol. 234(2), pages 624-646.
    163. Christopher Adjaho & Timothy Christensen, 2022. "Externally Valid Policy Choice," Papers 2205.05561, arXiv.org, revised Jul 2023.
    164. Timothy B. Armstrong, 2014. "A Note on Minimax Testing and Confidence Intervals in Moment Inequality Models," Cowles Foundation Discussion Papers 1975, Cowles Foundation for Research in Economics, Yale University.
    165. Philipp Eisenhauer & Janos Gabler & Lena Janys, 2021. "Structural Models for Policy-Making: Coping with Parametric Uncertainty," ECONtribute Discussion Papers Series 082, University of Bonn and University of Cologne, Germany.
    166. Eisenhauer, Philipp & Gabler, Janos & Janys, Lena, 2021. "Structural Models for Policy-Making: Coping with Parametric Uncertainty," IZA Discussion Papers 14317, Institute of Labor Economics (IZA).
    167. Yu-Chang Chen & Haitian Xie, 2022. "Personalized Subsidy Rules," Papers 2202.13545, arXiv.org, revised Mar 2022.
    168. Giordani, Paolo E. & Schlag, Karl H. & Zwart, Sanne, 2010. "Decision makers facing uncertainty: Theory versus evidence," Journal of Economic Psychology, Elsevier, vol. 31(4), pages 659-675, August.
    169. Christophe Muller, 2016. "Optimal transfers with distribution regressions: An application to Egypt at the dawn of the XXIst century," WIDER Working Paper Series wp-2016-179, World Institute for Development Economic Research (UNU-WIDER).
    170. Manski, Charles F., 2007. "Minimax-regret treatment choice with missing outcome data," Journal of Econometrics, Elsevier, vol. 139(1), pages 105-115, July.
    171. Charles F. Manski & Aleksey Tetenov, 2015. "Clinical trial design enabling e-optimal treatment rules," CeMMAP working papers CWP60/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    172. Juliano Assuncao & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," Working Papers tecipa-631, University of Toronto, Department of Economics.
    173. Seungjin Han & Julius Owusu & Youngki Shin, 2022. "Statistical Treatment Rules under Social Interaction," Papers 2209.09077, arXiv.org, revised Nov 2022.
    174. Amanda Dahlstrand, 2022. "Defying distance? The provision of services in the digital age," CEP Discussion Papers dp1889, Centre for Economic Performance, LSE.
    175. Haitian Xie, 2020. "Finite-Sample Average Bid Auction," Papers 2008.10217, arXiv.org, revised Feb 2022.
    176. Karl H. Schlag & Andriy Zapechelnyuk, 2020. "Robust Sequential Search," Papers 2008.00502, arXiv.org.
    177. Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael W. Walker, 2022. "Targeting Impact versus Deprivation," NBER Working Papers 30138, National Bureau of Economic Research, Inc.
    178. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    179. Masahiro Kato, 2023. "Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget," Papers 2310.19788, arXiv.org, revised Mar 2024.
    180. Dean Eckles, 2022. "Commentary on “Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters”: On Loss Functions and Bias–Variance Tradeoffs in Causal Estimation and Decisions," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 17-18, April.
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    183. Toru Kitagawa & Guanyi Wang, 2023. "Individualized Treatment Allocation in Sequential Network Games," Papers 2302.05747, arXiv.org, revised Jul 2023.
    184. Maximilian Blesch & Philipp Eisenhauer, 2021. "Robust Decision-Making Under Risk and Ambiguity," ECONtribute Discussion Papers Series 104, University of Bonn and University of Cologne, Germany.
    185. Susan Athey & Undral Byambadalai & Vitor Hadad & Sanath Kumar Krishnamurthy & Weiwen Leung & Joseph Jay Williams, 2022. "Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning," Papers 2211.12004, arXiv.org.
    186. Otsu, Taisuke, 2008. "Large deviation asymptotics for statistical treatment rules," Economics Letters, Elsevier, vol. 101(1), pages 53-56, October.
    187. Liyang Sun, 2021. "Empirical Welfare Maximization with Constraints," Papers 2103.15298, arXiv.org.
    188. Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "A model of multiple hypothesis testing," Papers 2104.13367, arXiv.org, revised Apr 2024.

  43. Jeff Dominitz & Charles F. Manski & Jordan Heinz, 2003. ""Will Social Security Be There For You?": How Americans Perceive Their Benefits," NBER Working Papers 9798, National Bureau of Economic Research, Inc.

    Cited by:

    1. Duernecker, Georg & Balleer, Almut & Forstner, Susanne & Goensch, Johannes, 2021. "The Effects of Biased Labor Market Expectations on Consumption, Wealth Inequality, and Welfare," CEPR Discussion Papers 16444, C.E.P.R. Discussion Papers.
    2. Blundell, R & Francesconi, M & van der Klaauw, W, 2011. "Anatomy of Welfare Reform Evaluation:Announcement and Implementation Effects," Economics Discussion Papers 2572, University of Essex, Department of Economics.
    3. Helen Levy & Kristin Seefeldt, 2008. "How Do Lower-Income Families Think about Retirement?," Working Papers wp195, University of Michigan, Michigan Retirement Research Center.
    4. Richard Disney, 2006. "Macroeconomic Performance and the Design of Public Pension Programmes," The Economic and Social Review, Economic and Social Studies, vol. 37(2), pages 175-195.
    5. Yonatan Eyal, 2020. "Self-Assessment Variables as a Source of Information in the Evaluation of Intervention Programs: A Theoretical and Methodological Framework," SAGE Open, , vol. 10(1), pages 21582440198, January.
    6. Jaeger Nelson, 2020. "Welfare Implications of Uncertain Social Security Reform," Public Finance Review, , vol. 48(4), pages 425-466, July.
    7. Pudney, Stephen & Hancock, Ruth & Henandez, Monica, 2004. "Participation in multiple welfare programmes: discrete choice with heterogeneous awareness," ISER Working Paper Series 2004-15, Institute for Social and Economic Research.
    8. ,, 2005. "Pill, Patch or Shot? Subjective Expectations and Birth Control Choice," CEPR Discussion Papers 4856, C.E.P.R. Discussion Papers.
    9. Portugal, Pedro & Raposo, Pedro, 2015. "Seriously Strengthening the Tax-Benefit Link," IZA Discussion Papers 8785, Institute of Labor Economics (IZA).
    10. Sita Slavov & Devon Gorry & Aspen Gorry & Frank N. Caliendo, 2019. "Social Security and Saving: An Update," Public Finance Review, , vol. 47(2), pages 312-348, March.
    11. Wilbert van der Klaauw & Kenneth I. Wolpin, 2005. "Social Security and the Retirement and Savings Behavior of Low Income Households," PIER Working Paper Archive 05-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    12. Louis Kaplow, 2010. "Targeted Savings and Labor Supply," NBER Working Papers 15656, National Bureau of Economic Research, Inc.
    13. Erin Cottle Hunt & Frank N. Caliendo, 2022. "Social security and risk sharing: A survey of four decades of economic analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1591-1609, December.
    14. Richard Disney, 2005. "Household Saving Rates and the Design of Social Security Programmes: Evidence from a Country Panel," CESifo Working Paper Series 1541, CESifo.
    15. Louis Kaplow, 2006. "Myopia and the Effects of Social Security and Capital Taxation on Labor Supply," NBER Working Papers 12452, National Bureau of Economic Research, Inc.
    16. Bissonnette, L. & van Soest, A.H.O., 2010. "Retirement Expectations, Preferences, and Decisions," Other publications TiSEM 45e93b08-cc1d-47c6-ba06-d, Tilburg University, School of Economics and Management.
    17. Louis Kaplow, 2011. "Targeted savings and labor supply," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 18(5), pages 507-518, October.
    18. Nicole Bosch & Casper Ewijk & Maja Micevska Scharf & Sander Muns, 2022. "The Incidence of Pension Contributions: A Panel Based Analysis of the Impact of Pension Contributions on Labor Cost, Wages and Labor Supply," De Economist, Springer, vol. 170(1), pages 107-132, February.
    19. van der Wiel, Karen, 2008. "Preparing for Policy Changes: Social Security Expectations and Pension Scheme Participation," IZA Discussion Papers 3623, Institute of Labor Economics (IZA).
    20. Caliendo, Frank N. & Gorry, Aspen & Slavov, Sita, 2019. "The cost of uncertainty about the timing of Social Security reform," European Economic Review, Elsevier, vol. 118(C), pages 101-125.
    21. Disney, Richard, 2007. "Population ageing and the size of the welfare state: Is there a puzzle to explain?," European Journal of Political Economy, Elsevier, vol. 23(2), pages 542-553, June.

  44. Jeff Dominitz & Charles F. Manski, 2003. "How Should We Measure Consumer Confidence (Sentiment)? Evidence from the Michigan Survey of Consumers," NBER Working Papers 9926, National Bureau of Economic Research, Inc.

    Cited by:

    1. Ralph Stinebrickner & Todd Stinebrickner, 2013. "Academic Performance and College Dropout: Using Longitudinal Expectations Data to Estimate a Learning Model," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20135, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    2. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    3. Murat Kırdar, 2013. "Source country characteristics and immigrants’ optimal migration duration decision," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-21, December.
    4. Todd Stinebrickner & Ralph Stinebrickner, 2008. "Learning About Academic Ability and the College Drop-Out Decision," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20086, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    5. Dudek, Sławomir, 2008. "Consumer Survey Data and short-term forecasting of households consumption expenditures in Poland," MPRA Paper 19818, University Library of Munich, Germany.
    6. Gerunov, Anton, 2013. "Връзка Между Икономическите Очаквания И Стопанската Динамика В Ес-27 [Linkages Between Expectations and Economic Dynamics in EU-27]," MPRA Paper 68795, University Library of Munich, Germany.
    7. Guzman, Giselle C., 2008. "Using sentiment surveys to predict GDP growth and stock returns," MPRA Paper 36653, University Library of Munich, Germany.
    8. Todd R. Stinebrickner & Ralph Stinebrickner, 2011. "Math or Science? Using Longitudinal Expectations Data to Examine the Process of Choosing a College Major," NBER Working Papers 16869, National Bureau of Economic Research, Inc.
    9. Maurizio Bovi, 2006. "Consumers Sentiment and Cognitive Macroeconometrics Paradoxes and Explanations," ISAE Working Papers 66, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    10. Guzman, Giselle C., 2008. "Using sentiment to predict GDP growth and stock returns," MPRA Paper 36505, University Library of Munich, Germany.
    11. Jeff Dominitz & Charles F. Manski, 2011. "Measuring and interpreting expectations of equity returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 352-370, April.
    12. Jeff Dominitz & Charles F. Manski, 2004. "How Should We Measure Consumer Confidence?," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 51-66, Spring.

  45. Charles F. Manski & Joram Mayshar, 2002. "Private and Social Incentives for Fertility: Israeli Puzzles," NBER Working Papers 8984, National Bureau of Economic Research, Inc.

    Cited by:

    1. Iyer, Sriya & Velu, Chander, 2006. "Real options and demographic decisions," Journal of Development Economics, Elsevier, vol. 80(1), pages 39-58, June.
    2. Iyer, S. & Weeks, M., 2009. "Social Interactions, Ethnicity and Fertility in Kenya," Cambridge Working Papers in Economics 0903, Faculty of Economics, University of Cambridge.
    3. Peng Yu, 2006. "Higher Education, the Bane of Fertility? An investigation with the HILDA Survey," CEPR Discussion Papers 512, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    4. Iyer, S. & Weeks, M., 2004. "Multiple Social Interaction and Reproductive Externalities: An Investigation of Fertility Behaviour in Kenya," Cambridge Working Papers in Economics 0461, Faculty of Economics, University of Cambridge.
    5. Miles S. Kimball & Colter M. Mitchell & Arland D. Thornton & Linda C. Young-Demarco, 2009. "Empirics on the Origins of Preferences: The Case of College Major and Religiosity," NBER Working Papers 15182, National Bureau of Economic Research, Inc.
    6. Angrist, Josh & Lavy, Victor & Schlosser, Analia, 2006. "New Evidence on the Causal Link between the Quantity and Quality of Children," CEPR Discussion Papers 5668, C.E.P.R. Discussion Papers.

  46. Jeff Dominitz & Charles F. Manski & Jordan Heinz, 2002. "Social Security Expectations and Retirement Savings Decisions," NBER Working Papers 8718, National Bureau of Economic Research, Inc.

    Cited by:

    1. Tsunao Okumura & Emiko Usui, 2014. "The effect of pension reform on pension-benefit expectations and savings decisions in Japan," Applied Economics, Taylor & Francis Journals, vol. 46(14), pages 1677-1691, May.
    2. Rainer Winkelmann, 2002. "Subjektive Daten in der empirischen Wirtschaftsforschung: Probleme und Perspektiven," SOI - Working Papers 0207, Socioeconomic Institute - University of Zurich, revised Jul 2002.
    3. Hugo Benítez-Silva & Debra Dwyer & Wayne-Roy Gayle & Thomas Muench, 2008. "Expectations in micro data: rationality revisited," Empirical Economics, Springer, vol. 34(2), pages 381-416, March.
    4. Jos'e Raimundo Carvalho & Diego de Maria Andr'e & Yuri Costa, 2023. "Individual Updating of Subjective Probability of Homicide Victimization: a "Natural Experiment'' on Risk Communication," Papers 2312.08171, arXiv.org.
    5. Bottazzi, Renata & Jappelli, Tullio & Padula, Mario, 2006. "Retirement expectations, pension reforms, and their impact on private wealth accumulation," CFS Working Paper Series 2006/10, Center for Financial Studies (CFS).
    6. Benitez-Silva, Hugo & Dwyer, Debra S., 2006. "Expectation formation of older married couples and the rational expectations hypothesis," Labour Economics, Elsevier, vol. 13(2), pages 191-218, April.
    7. Robert Oxoby & William G. Morrison, "undated". "Loss Aversion and Intertemporal Choice: A Laboratory Investigation," Working Papers 2010-06, Department of Economics, University of Calgary, revised 26 Jan 2010.
    8. Hugo Benítez-Silva & Debra S. Dwyer, 2003. "What to Expect when you are Expecting Rationality: Testing Rational Expectations using Micro Data," Working Papers wp037, University of Michigan, Michigan Retirement Research Center.
    9. William G. Morrison & Robert J. Oxoby, 2013. "The endowment effect and intertemporal choice: a laboratory investigation," Canadian Journal of Economics, Canadian Economics Association, vol. 46(2), pages 689-704, May.
    10. Ahmed Khwaja & Frank Sloan & Sukyung Chung, 2007. "The relationship between individual expectations and behaviors: Mortality expectations and smoking decisions," Journal of Risk and Uncertainty, Springer, vol. 35(2), pages 179-201, October.
    11. Mauro Mastrogiacomo, 2004. "On Expectations, Realizations and Partial Retirement," Tinbergen Institute Discussion Papers 04-052/3, Tinbergen Institute.
    12. Jappelli, Tullio & Padula, Mario & Bottazzi, Renata, 2005. "Retirement Expectations, Pension Reforms and Their Effect on Private Wealth Accumulation," CEPR Discussion Papers 4882, C.E.P.R. Discussion Papers.
    13. Richard L. Johnson, 2002. "The puzzle of later male retirement," Economic Review, Federal Reserve Bank of Kansas City, vol. 87(Q III), pages 5-26.
    14. Bissonnette, L. & van Soest, A.H.O., 2010. "Retirement Expectations, Preferences, and Decisions," Other publications TiSEM 45e93b08-cc1d-47c6-ba06-d, Tilburg University, School of Economics and Management.
    15. Junya Hamaaki, 2013. "The Pension System and Household Consumption and Saving Behavior," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 9(4), pages 687-716, September.
    16. Frank Sloan & Lindsey Eldred & Tong Guo & Yanzhi Xu, 2013. "Are people overoptimistic about the effects of heavy drinking?," Journal of Risk and Uncertainty, Springer, vol. 47(1), pages 93-127, August.
    17. Douglas Hershey & Joy Jacobs-Lawson, 2012. "Bridging the Gap: Anticipated Shortfalls in Future Retirement Income," Journal of Family and Economic Issues, Springer, vol. 33(3), pages 306-314, September.
    18. Tullio Jappelli & Mario Padula & Renata Bottazzi, 2003. "Retirement Expectations and Pension Reforms," CSEF Working Papers 92, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.

  47. Charles F. Manski, 2000. "Using Studies of Treatment Response to Inform Treatment Choice in Heterogeneous Populations," NBER Technical Working Papers 0263, National Bureau of Economic Research, Inc.

    Cited by:

    1. Caliendo, Marco & Steiner, Viktor, 2005. "Aktive Arbeitsmarktpolitik in Deutschland : Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse (Active labour market policy in Germany * review ans assessment of the microecono," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 38(2/3), pages 396-418.
    2. Falk, Armin & Lalive, Rafael & Zweimüller, Josef, 2005. "The success of job applications: a new approach to program evaluation," Labour Economics, Elsevier, vol. 12(6), pages 739-748, December.
    3. Caliendo, Marco & Hujer, Reinhard & Thomsen, Stephan L., 2005. "Identifying effect heterogeneity to improve the efficiency of job creation schemes in Germany," IAB-Discussion Paper 200508, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Caliendo, Marco & Steiner, Viktor, 2005. "Aktive Arbeitsmarktpolitik in Deutschland : Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse (Active labour market policy in Germany * review ans assessment of the microecono," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 38(2/3), pages 396-418.
    5. Marco Caliendo & Viktor Steiner, 2005. "Aktive Arbeitsmarktpolitik in Deutschland: Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse," Discussion Papers of DIW Berlin 515, DIW Berlin, German Institute for Economic Research.

  48. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," NBER Working Papers 7580, National Bureau of Economic Research, Inc.

    Cited by:

    1. Karen Macours & Renos Vakis, 2016. "Sustaining Impacts When Transfers End: Women Leaders, Aspirations, and Investment in Children," NBER Working Papers 22871, National Bureau of Economic Research, Inc.
    2. Björn R H Blomqvist & Richard P Mann & David J T Sumpter, 2018. "Using Bayesian dynamical systems, model averaging and neural networks to determine interactions between socio-economic indicators," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-23, May.
    3. Diego Caramuta, 2005. "A Dynamic Approach to the Relationship between Inequality, Social Capital and Institutions," Development and Comp Systems 0506009, University Library of Munich, Germany.
    4. Morey, Edward R. & Kritzberg, David, 2012. "It's not where you do it, it's who you do it with?," Journal of choice modelling, Elsevier, vol. 5(3), pages 176-191.
    5. Thomas de Graaff & Jan Rouwendal & Wim Bernasco & Wouter Steenbeek, 2012. "Social interaction and the spatial concentration of criminality," ERSA conference papers ersa12p634, European Regional Science Association.
    6. John Whalley, 2008. "Globalisation and Values," The World Economy, Wiley Blackwell, vol. 31(11), pages 1503-1524, November.
    7. Ibanez, Marcela & Carlsson, Fredrik, 2010. "A survey-based choice experiment on coca cultivation," Journal of Development Economics, Elsevier, vol. 93(2), pages 249-263, November.
    8. John Cawley & Euna Han & Jiyoon Kim & Edward C. Norton, 2019. "Testing for family influences on obesity: The role of genetic nurture," Health Economics, John Wiley & Sons, Ltd., vol. 28(7), pages 937-952, July.
    9. Lionel Prouteau & François‐Charles Wolff, 2004. "Relational Goods and Associational Participation," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 75(3), pages 431-463, September.
    10. Hammar, Henrik & Carlsson, Fredrik, 2001. "Smokers' Decisions To Quit Smoking," Working Papers in Economics 59, University of Gothenburg, Department of Economics.
    11. Adriaan R. Soetevent, 2006. "Empirics of the Identification of Social Interactions; An Evaluation of the Approaches and Their Results," Journal of Economic Surveys, Wiley Blackwell, vol. 20(2), pages 193-228, April.
    12. Jacob Vigdor & Jens Ludwig, 2007. "Segregation and the Black-White Test Score Gap," NBER Working Papers 12988, National Bureau of Economic Research, Inc.
    13. Claudia Senik & Thierry Verdier, 2011. "Segregation, entrepreneurship and work values: the case of France," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(4), pages 1207-1234, October.
    14. Martin Kolmar & Hendrik Rommeswinkel, 2020. "Group size and group success in conflicts," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 55(4), pages 777-822, December.
    15. Dustmann, Christian & Mertz, Mikkel & Okatenko, Anna, 2023. "Neighbourhood Gangs, Crime Spillovers, and Teenage Motherhood," IZA Discussion Papers 16158, Institute of Labor Economics (IZA).
    16. Stephen Gibbons & Olmo Silva & Felix Weinhardt, 2014. "Neighbourhood Turnover and Teenage Attainment," SERC Discussion Papers 0163, Centre for Economic Performance, LSE.
    17. François Gardes & Christophe Starzec, 2009. "Polish Households' behavior in the Regular and Informal Economies," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00375543, HAL.
    18. Gibbons, Stephen & Overman, Henry G., 2010. "Mostly pointless spatial econometrics?," LSE Research Online Documents on Economics 33559, London School of Economics and Political Science, LSE Library.
    19. Judith K. Hellerstein & David Neumark & Melissa McInerney, 2007. "Spatial Mismatch or Racial Mismatch?," NBER Working Papers 13161, National Bureau of Economic Research, Inc.
    20. Denis Anne, 2019. "Aides à la mobilité et insertion sociale," Erudite Ph.D Dissertations, Erudite, number ph19-03 edited by Yannick L'Horty, February.
    21. Stolpe, Michael, 2004. "Non-market interaction in primary equity markets: evidence from France and Germany," Kiel Working Papers 1211, Kiel Institute for the World Economy (IfW Kiel).
    22. Ruomeng Cui & Dennis J. Zhang & Achal Bassamboo, 2019. "Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," Management Science, INFORMS, vol. 65(3), pages 1216-1235, March.
    23. Jesus Fernandez-Villaverde & Jeremy Greenwood & Nezih Guner, 2011. "From Shame to Game in One Hundred Years: A Macroeconomic Model of the Rise in Premarital Sex and its De-Stigmatization," RCER Working Papers 569, University of Rochester - Center for Economic Research (RCER).
    24. Rafael Lalive & Alejandra Cattaneo, 2006. "Social Interactions and Schooling Decisions," IEW - Working Papers 298, Institute for Empirical Research in Economics - University of Zurich.
    25. Bucchianeri Grace Wong, 2010. "Is SARS a Poor Man's Disease? Socioeconomic Status and Risk Factors for SARS Transmission," Forum for Health Economics & Policy, De Gruyter, vol. 13(2), pages 1-31, July.
    26. Zakaria Babutsidze, 2012. "Consumer Learning through Interaction: Effects on Aggregate Outcomes," SciencePo Working papers Main halshs-01926912, HAL.
    27. Pieter A. Gautier & Arjen Siegmann & Aico van Vuuren, 2007. "The Effect of the Theo van Gogh Murder on House Prices in Amsterdam," Tinbergen Institute Discussion Papers 07-013/3, Tinbergen Institute.
    28. Paolo Buonanno & Paolo Vanin, 2013. "Bowling alone, drinking together," Empirical Economics, Springer, vol. 44(3), pages 1635-1672, June.
    29. Schwesinger, Georg & Müller, Stephan & Lundan, Sarianna M., 2016. "Governance Structures, Cultural Distance, and Socialization Dynamics: Further Challenges for the Modern Corporation," VfS Annual Conference 2016 (Augsburg): Demographic Change 145907, Verein für Socialpolitik / German Economic Association.
    30. Zafar, Basit, 2011. "An experimental investigation of why individuals conform," European Economic Review, Elsevier, vol. 55(6), pages 774-798, August.
    31. Mekonnen, Daniel Ayalew & Gerber, Nicolas & Matz, Julia Anna, 2018. "Gendered Social Networks, Agricultural Innovations, and Farm Productivity in Ethiopia," World Development, Elsevier, vol. 105(C), pages 321-335.
    32. Geoffrey Heal & Howard Kunreuther, 2007. "Social Reinforcement: Cascades, Entrapment and Tipping," NBER Working Papers 13579, National Bureau of Economic Research, Inc.
    33. Juan Camilo Cardenas & Jeffrey Carpenter, 2008. "Behavioural Development Economics: Lessons from Field Labs in the Developing World," Journal of Development Studies, Taylor & Francis Journals, vol. 44(3), pages 311-338.
    34. Zarnadze Giorgi, 2020. "Social interactions impact on product and service development," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 324-332, July.
    35. Barron, Manuel & Torero, Maximo, 2015. "Fixed Costs, Spillovers, and Adoption of Electric Connections," MPRA Paper 63804, University Library of Munich, Germany.
    36. Cheti Nicoletti & Birgitta Rabe, 2016. "Sibling spillover effects in school achievement," Discussion Papers 16/02, Department of Economics, University of York.
    37. John Knight & Ramani Gunatilaka, 2023. "The Quality of Society and Happiness: Fairness, Trust, and Community in China," Economics Series Working Papers 1000, University of Oxford, Department of Economics.
    38. Christian A. L. Hilber, 2010. "New Housing Supply and the Dilution of Social Capital," SERC Discussion Papers 0042, Centre for Economic Performance, LSE.
    39. Calvet, Laurent-Emmanuel & Sodini, Paolo, 2011. "Twin picks: disentangling the determinants of risk-taking in household portfolios," HEC Research Papers Series 948, HEC Paris.
    40. Chien Chi Chu & Xiu‐Fen Su & Yu‐En Lin & Akihiro Omura & Bin Li & Adrian Wai‐Kong Cheung, 2023. "Love thy neighbour: Evidence from capital structure decisions," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(3), pages 2907-2933, September.
    41. Marco Castillo & Michael Carter, 2011. "Behavioral Responses to Natural Disasters," Working Papers 1026, George Mason University, Interdisciplinary Center for Economic Science.
    42. Kiichi Tokuoka, 2017. "Is stock investment contagious among siblings?," Empirical Economics, Springer, vol. 52(4), pages 1505-1528, June.
    43. Hill, Ruth Vargas & Maruyama, Eduardo & Viceisza, Angelino, 2010. "Breaking the norm: An empirical investigation into the unraveling of good behavior," IFPRI discussion papers 948, International Food Policy Research Institute (IFPRI).
    44. Andersson, Fredrik W. & Bokenblom, Mattias & Brantingson, Staffan & Brännström, Susanne Gullberg & Wall, Johan, 2011. "Sick listing—Partly a family phenomenon?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 496-502.
    45. David Aristei & Luca Pieroni, 2009. "Addiction, social interactions and gender differences in cigarette consumption," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(3), pages 245-272, August.
    46. Jones, A. & Rice, N. & Rosa Dias, P., 2010. "Long-term effects of cognitive skills, social adjustment and schooling on health and lifestyle: Evidence from a reform of selective schooling," Health, Econometrics and Data Group (HEDG) Working Papers 10/11, HEDG, c/o Department of Economics, University of York.
    47. Brock,W.A. & Durlauf,S.N., 2004. "Identification of binary choice models with social interactions," Working papers 2, Wisconsin Madison - Social Systems.
    48. Feng, Yao, 2011. "Local spillovers and learning from neighbors: Evidence from durable adoptions in rural China," MPRA Paper 33924, University Library of Munich, Germany.
    49. Chen, Xi & Zhang, Xiaobo, 2010. "Relative income, network interactions and social stigma," IAMO Forum 2010: Institutions in Transition – Challenges for New Modes of Governance 52702, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
    50. Giorgio Fabbri & Salvatore Federico & Davide Fiaschi & Fausto Gozzi, 2024. "Mobility decisions, economic dynamics and epidemic," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 77(1), pages 495-531, February.
    51. Chantarat, Sommarat & Barrett, Christopher B., 2007. "Social Network Capital, Economic Mobility and Poverty Traps," MPRA Paper 1947, University Library of Munich, Germany.
    52. Fishman, Arthur & Fishman, Ram & Gneezy, Uri, 2019. "A tale of two food stands: Observational learning in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 101-108.
    53. Marini, Annalisa, 2016. "Immigrants, Trust and Social Traps," MPRA Paper 69627, University Library of Munich, Germany, revised Feb 2016.
    54. Raphaël Suire & Jérôme Vicente, 2008. "Why do some places succeed when others decline : a social interaction model of cluster viability," Post-Print halshs-00325986, HAL.
    55. Charles F. Manski & Joram Mayshar, 2002. "Private and Social Incentives for Fertility: Israeli Puzzles," NBER Working Papers 8984, National Bureau of Economic Research, Inc.
    56. Amrei Lahno & Marta Serra-Garcia, 2015. "Peer effects in risk taking: Envy or conformity?," Journal of Risk and Uncertainty, Springer, vol. 50(1), pages 73-95, February.
    57. Yang-Ming Chang, 2012. "Strategic transfers, redistributive fiscal policies, and family bonds: a micro-economic analysis," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(4), pages 1481-1502, October.
    58. Liebman, Jeffrey & Katz, Lawrence & Kling, Jeffrey, 2004. "Beyond Treatment Effects: Estimating the Relationship Between Neighborhood Poverty and Individual Outcomes in the MTO Experiment," Working Paper Series rwp04-036, Harvard University, John F. Kennedy School of Government.
    59. John Moriarty & Duncan McVicar & Kathryn Higgins, 2012. "Peer Effects in Adolescent Cannabis Use: It's the Friends, Stupid," Melbourne Institute Working Paper Series wp2012n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    60. Goette, Lorenz & Bruhin, Adrian & Haenni, Simon & Jiang, Lingqing, 2015. "Spillovers of Prosocial Motivation: Evidence from an Intervention Study on Blood Donors," CEPR Discussion Papers 10345, C.E.P.R. Discussion Papers.
    61. Galster, George, 2002. "An economic efficiency analysis of deconcentrating poverty populations," Journal of Housing Economics, Elsevier, vol. 11(4), pages 303-329, December.
    62. Monga Célestin, 2017. "Working Paper 261 - Post-Macroeconomics: Some Theoretical and Analytical Issues," Working Paper Series 2372, African Development Bank.
    63. Bingyuan Hsiung, 2004. "The Commonality Between Economics and Law," European Journal of Law and Economics, Springer, vol. 18(1), pages 33-53, July.
    64. Dirk Schindler & Guttorm Schjelderup, 2011. "Debt Shifting and Ownership Structure," Working Paper Series of the Department of Economics, University of Konstanz 2011-35, Department of Economics, University of Konstanz.
    65. Szulkin, Ryszard & Hällsten, Martin, 2009. "Families, neighborhoods, and the future: The transition to adulthood of children of native and immigrant origin in Sweden," SULCIS Working Papers 2009:9, Stockholm University, Linnaeus Center for Integration Studies - SULCIS.
    66. Hiebert, Paul & Vansteenkiste, Isabel, 2009. "Do house price developments spill over across euro area countries? Evidence from a Global VAR," Working Paper Series 1026, European Central Bank.
    67. Thöni, Christian & Gächter, Simon, 2012. "Peer Effects and Social Preferences in Voluntary Cooperation," IZA Discussion Papers 6277, Institute of Labor Economics (IZA).
    68. Marie Lebreton & Katia Melnik, 2009. "Voluntary Participation as a Determinant of Social Capital in France : Allowing for Parameter Heterogeneity," Working Papers halshs-00410530, HAL.
    69. Wolz, Axel & Fritzsch, Jana & Pencáková, Jitka, 2006. "Social capital among agricultural producers in the Czech Republic: its impact on economic performance [Sozialkapital landwirtschaftlicher Produzenten in der Tschechischen Republik: Seine Auswirkung," IAMO Discussion Papers 97, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    70. Xueling Bao & Fengwan Zhang & Shili Guo & Xin Deng & Jiahao Song & Dingde Xu, 2022. "Peer Effects on Farmers’ Purchases of Policy-Based Planting Farming Agricultural Insurance: Evidence from Sichuan Province, China," IJERPH, MDPI, vol. 19(12), pages 1-18, June.
    71. Fertig, Michael, 2003. "Educational Production, Endogenous Peer Group Formation and Class Composition - Evidence from the PISA 2000 Study," Royal Economic Society Annual Conference 2003 76, Royal Economic Society.
    72. Steven N. Durlauf & Yannis M. Ioannides, 2009. "Social Interactions," Discussion Papers Series, Department of Economics, Tufts University 0739, Department of Economics, Tufts University.
    73. Fabio David Nieto, 2016. "Discriminación y diferenciales de salarios en el mercado laboral," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 115-134, January-J.
    74. Yannis M. Ioannides & Linda Datcher Loury, 2004. "Job Information Networks, Neighborhood Effects, and Inequality," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1056-1093, December.
    75. Roberto Galbiati & Giulio Zanella, 2012. "The tax evasion social multiplier: Evidence from Italy," Sciences Po publications info:hdl:2441/2jbidihgpo8, Sciences Po.
    76. Nyborg, Karine & Rege, Mari, 2003. "On social norms: the evolution of considerate smoking behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 52(3), pages 323-340, November.
    77. Fortin, Bernard & Lacroix, Guy & Villeval, Marie Claire, 2004. "Tax Evasion and Social Interactions," IZA Discussion Papers 1359, Institute of Labor Economics (IZA).
    78. Franz Hackl & Michael Hummer & Gerald Pruckner, 2013. "Old Boys’ Network in General Practitioner’s Referral Behavior," Economics working papers 2013-10, Department of Economics, Johannes Kepler University Linz, Austria.
    79. Fletcher, Jason M. & Ross, Stephen L. & Zhang, Yuxiu, 2020. "The consequences of friendships: Evidence on the effect of social relationships in school on academic achievement," Journal of Urban Economics, Elsevier, vol. 116(C).
    80. Stefan Jestl, 2019. "The Impact of Income Inequality on Household Indebtedness in Euro Area Countries," wiiw Working Papers 173, The Vienna Institute for International Economic Studies, wiiw.
    81. Font, Joan Costa & Fabbri, Daniele & Gil, Joan, 2010. "Decomposing cross-country differences in levels of obesity and overweight: Does the social environment matter?," Social Science & Medicine, Elsevier, vol. 70(8), pages 1185-1193, April.
    82. Vegard Iversen & Kunal Sen & Arjan Verschoor & Amaresh Dubey, 2009. "Job recruitment networks and migration to cities in India," Discussion Papers 09-01, Indian Statistical Institute, Delhi.
    83. J. Gimenez-Nadal & Jose Molina & Almudena Sevilla-Sanz, 2012. "Social norms, partnerships and children," Review of Economics of the Household, Springer, vol. 10(2), pages 215-236, June.
    84. Chung-cheng Lin & C.C. Yang, 2006. "Receiprocity and Downward Wage Rigidity," IEAS Working Paper : academic research 06-A015, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    85. Martin Kahanec & Mariapia Mendola, 2007. "Social Determinants of Labor Market Status of Ethnic Minorities in Britain," Working Papers 125, University of Milano-Bicocca, Department of Economics, revised Nov 2007.
    86. Fanny Alivon, 2021. "Lieu de résidence et parcours scolaire des collégiens d’Île-de-France," Revue économique, Presses de Sciences-Po, vol. 72(5), pages 749-784.
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    88. Bramoullé, Yann & Boucher, Vincent, 2020. "Binary Outcomes and Linear Interactions," CEPR Discussion Papers 15505, C.E.P.R. Discussion Papers.
    89. Lan, Jing & Liu, Zhen, 2019. "Social network effect on income structure of SLCP participants: Evidence from Baitoutan Village, China," Forest Policy and Economics, Elsevier, vol. 106(C), pages 1-1.
    90. Mohammad Niaz Asadullah & Zaki Wahhaj, 2015. "Going to School in Purdah: Female Schooling, Mobility Norms and Madrasas in Bangladesh," Working Papers id:7756, eSocialSciences.
    91. Brock,W.A. & Durlauf,S.N., 2003. "Multinomial choice with social interactions," Working papers 1, Wisconsin Madison - Social Systems.
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    93. Senik, Claudia, 2005. "Ambition and jealousy. Income Interactions in the "old" Europe versus The "New" Europe and the United States," CEPREMAP Working Papers (Docweb) 0510, CEPREMAP.
    94. Luigi Pistaferri, 2003. "Anticipated and Unanticipated Wage Changes, Wage Risk, and Intertemporal Labor Supply," Journal of Labor Economics, University of Chicago Press, vol. 21(3), pages 729-754, July.
    95. Svensson, Mikael, 2010. "Alcohol use and social interactions among adolescents in Sweden: Do peer effects exist within and/or between the majority population and immigrants?," Social Science & Medicine, Elsevier, vol. 70(11), pages 1858-1864, June.
    96. Kremena Slavova & Andrea Fosfuri & Julio O. De Castro, 2016. "Learning by Hiring: The Effects of Scientists’ Inbound Mobility on Research Performance in Academia," Organization Science, INFORMS, vol. 27(1), pages 72-89, February.
    97. Zackary B. Hawley, 2012. "Does Urban Density Promote Social Interaction? Evidence from Instrumental Variable Estimation," The Review of Regional Studies, Southern Regional Science Association, vol. 42(3), pages 223-248, Winter.
    98. Mirta Gordon & Jean-Pierre Nadal & Denis Phan & Viktoriya Semeshenko, 2012. "Discrete Choices under Social Influence, Generic Properties," Post-Print halshs-04004539, HAL.
    99. Axsen, Jonn, 2010. "Interpersonal Influence within Car Buyers’ Social Networks: Observing Consumer Assessment of Plug-in Hybrid Electric Vehicles (PHEVs) and the Spread of Pro-Societal Values," Institute of Transportation Studies, Working Paper Series qt8p32d18k, Institute of Transportation Studies, UC Davis.
    100. Amos Witztum, 2016. "Experimental Economics, Game Theory and Das Adam Smith Problem," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 42(4), pages 528-556, September.
    101. Adamopoulou, Effrosyni & Greenwood, Jeremy & Guner, Nezih & Kopecky, Karen A., 2024. "The Role of Friends in the Opioid Epidemic," IZA Discussion Papers 16709, Institute of Labor Economics (IZA).
    102. Semih Tumen & Tugba Zeydanli, 2014. "Social Interactions in Job Satisfaction," Carlo Alberto Notebooks 378, Collegio Carlo Alberto.
    103. Piero Cipollone & Alfonso Rosolia, 2006. "Social Interactions in High School: Lessons from an Earthquake," Temi di discussione (Economic working papers) 596, Bank of Italy, Economic Research and International Relations Area.
    104. Margaretic, Paula & Cifuentes, Rodrigo & Carreño, José Gabriel, 2021. "Banks’ interconnections and peer effects: Evidence from Chile," Research in International Business and Finance, Elsevier, vol. 58(C).
    105. Felix Schlaepfer & Marcel Schmitt & Anna Roschewitz, 2007. "Competitive politics, simplified heuristics, and preferences for public goods," SOI - Working Papers 0712, Socioeconomic Institute - University of Zurich.
    106. Benjamin Monnery, 2013. "The determinants of recidivism among ex-prisoners: a survival analysis on French data," Working Papers 1320, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    107. Xiaogeng Xu & Satu Metsälampi & Michael Kirchler & Kaisa Kotakorpi & Peter Hans Matthews & Topi Miettinen, 2023. "Which income comparisons matter to people, and how? Evidence from a large field experiment," Working Papers 10, Finnish Centre of Excellence in Tax Systems Research.
    108. Julie Rosaz & Robert Slonim & Marie Claire Villeval, 2015. "Quitting and Peer Effects at Work," Working Papers halshs-00684812, HAL.
    109. Ott Toomet & Marco van der Leij & Meredith Rolfe, 2012. "Social Networks and Labor Market Inequality between Ethnicities and Races," Tinbergen Institute Discussion Papers 12-120/II, Tinbergen Institute.
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  49. Philip Cross & Charles F. Manski, 2000. "Regressions, Short and Long," Econometric Society World Congress 2000 Contributed Papers 0385, Econometric Society.

    Cited by:

    1. Tatiana V. Komarova & Denis Nekipelov & Evgeny Yakovlev, 2011. "Identification, data combination and the risk of disclosure," CeMMAP working papers CWP38/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Cheti Nicoletti, 2010. "Poverty analysis with missing data: alternative estimators compared," Empirical Economics, Springer, vol. 38(1), pages 1-22, February.
    3. Galichon, Alfred & Henry, Marc, 2009. "A test of non-identifying restrictions and confidence regions for partially identified parameters," Journal of Econometrics, Elsevier, vol. 152(2), pages 186-196, October.
    4. Yanqin Fan & Carlos A. Manzanares, 2017. "Partial identification of average treatment effects on the treated through difference-in-differences," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 1057-1080, October.
    5. Peter Sandholt Jensen & Allan H. Würtz, 2006. "On determining the importance of a regressor with small and undersized samples," Economics Working Papers 2006-08, Department of Economics and Business Economics, Aarhus University.
    6. Sung Jae Jun & Sokbae (Simon) Lee, 2019. "Identifying the effect of persuasion," CeMMAP working papers CWP69/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Mullin, Charles H., 2006. "Identification and estimation with contaminated data: When do covariate data sharpen inference?," Journal of Econometrics, Elsevier, vol. 130(2), pages 253-272, February.
    8. Thomas F. Crossley & Peter Levell & Stavros Poupakis, 2022. "Regression with an imputed dependent variable," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1277-1294, November.
    9. D'Haultfoeuille, Xavier & Gaillac, Christophe & Maurel, Arnaud, 2021. "Rationalizing Rational Expectations: Characterizations and Tests," TSE Working Papers 21-1211, Toulouse School of Economics (TSE).
    10. Matthew Masten & Alexandre Poirier, 2016. "Partial independence in nonseparable models," CeMMAP working papers 26/16, Institute for Fiscal Studies.
    11. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2011. "Using repeated cross-sections to explore movements in and out of poverty," Policy Research Working Paper Series 5550, The World Bank.
    13. Matthew A. Masten & Alexandre Poirier, 2017. "Identification of Treatment Effects under Conditional Partial Independence," Papers 1707.09563, arXiv.org.
    14. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Timothy G. Conley & Giorgio Topa, 2003. "Identification of local interaction models with imperfect location data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 605-618.
    16. Charles F. Manski, 2003. "Identification Problems in the Social Sciences and Everyday Life," Southern Economic Journal, John Wiley & Sons, vol. 70(1), pages 11-21, July.
    17. Molinari, Francesca & Peski, Marcin, 2005. "Generalization of a Result on "Regression, Short and Long"," Working Papers 05-09, Cornell University, Center for Analytic Economics.
    18. Sarah Moon, 2024. "Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Binary Outcome Model," Papers 2403.07236, arXiv.org, revised Apr 2024.
    19. Nathan Kallus, 2022. "What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment," Papers 2205.10327, arXiv.org, revised Nov 2022.
    20. Fan, Yanqin & Shi, Xuetao & Tao, Jing, 2023. "Partial identification and inference in moment models with incomplete data," Journal of Econometrics, Elsevier, vol. 235(2), pages 418-443.

  50. Charles F. Manski & John D. Straub, 1999. "Worker Perceptions of Job Insecurity in the Mid-1990s: Evidence from the Survey of Economic Expectations," NBER Working Papers 6908, National Bureau of Economic Research, Inc.

    Cited by:

    1. Linz, Susan J. & Semykina, Anastasia, 2010. "Perceptions of economic insecurity: Evidence from Russia," Economic Systems, Elsevier, vol. 34(4), pages 357-385, December.
    2. Carson, Richard T. & Hanemann, W. Michael, 2006. "Contingent Valuation," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 17, pages 821-936, Elsevier.
    3. McGuinness, Seamus & Wooden, Mark & Hahn, Markus, 2012. "Job Insecurity and Future Labour Market Outcomes," IZA Discussion Papers 6764, Institute of Labor Economics (IZA).
    4. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    5. Andrew Clark & Fabien Postel-Vinay, 2009. "Job security and job protection," Oxford Economic Papers, Oxford University Press, vol. 61(2), pages 207-239, April.
    6. Adrian Chadi & Lazlo Goerke, 2023. "Seeking Shelter in Times of Crisis? Unemployment, Perceived Job Insecurity and Trade Union Membership," IAAEU Discussion Papers 202302, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
    7. Barceló, Cristina & Villanueva, Ernesto, 2016. "The response of household wealth to the risk of job loss: Evidence from differences in severance payments," Labour Economics, Elsevier, vol. 39(C), pages 35-54.
    8. Federica Origo & Laura Pagani, 2008. "Flexicurity and Workers Well-Being in Europe: Is Temporary Employment Always Bad?," Working Papers 141, University of Milano-Bicocca, Department of Economics, revised Jun 2008.
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    1. Mark C. Berger & Dan Black & Jeffrey Smith, 2000. "Evaluating Profiling as a Means of Allocating Government Services," University of Western Ontario, Departmental Research Report Series 200018, University of Western Ontario, Department of Economics.
    2. Rajeev Dehejia, 1999. "Program Evaluation as a Decision Problem," NBER Working Papers 6954, National Bureau of Economic Research, Inc.

  52. Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables with an Application to the Returns to Schooling," NBER Technical Working Papers 0224, National Bureau of Economic Research, Inc.

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    1. Brantly Callaway, 2020. "Bounds on Distributional Treatment Effect Parameters using Panel Data with an Application on Job Displacement," Papers 2008.08117, arXiv.org.
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    3. Jiang Zhichao & Chiba Yasutaka & VanderWeele Tyler J., 2014. "Monotone Confounding, Monotone Treatment Selection and Monotone Treatment Response," Journal of Causal Inference, De Gruyter, vol. 2(1), pages 1-12, March.
    4. Fran?s Bourguignon & Francisco H. G. Ferreira & Marta Menendez, 2003. "Inequality of outcomes and inequality of opportunities in Brazil," Policy Research Working Paper Series 3174, The World Bank.
    5. C, Loran & Eckbo, Espen & Lu, Ching-Chih, 2014. "Does Executive Compensation Reflect Default Risk?," UiS Working Papers in Economics and Finance 2014/11, University of Stavanger.
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    9. Kamila Cygan‐Rehm & Daniel Kuehnle & Michael Oberfichtner, 2017. "Bounding the causal effect of unemployment on mental health: Nonparametric evidence from four countries," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1844-1861, December.
    10. Lorenzo Almada & Ian McCarthy & Rusty Tchernis, 2016. "What Can We Learn about the Effects of Food Stamps on Obesity in the Presence of Misreporting?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 997-1017.
    11. Menzel, Konrad, 2014. "Consistent estimation with many moment inequalities," Journal of Econometrics, Elsevier, vol. 182(2), pages 329-350.
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    47. François Bourguignon & Francisco H. G. Ferreira & Marta Menéndez, 2007. "Inequality of opportunity in Brazil," PSE-Ecole d'économie de Paris (Postprint) halshs-00754189, HAL.
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    270. Johan Vikström & Geert Ridder & Martin Weidner, 2015. "Bounds on treatment effects on transitions," CeMMAP working papers 01/15, Institute for Fiscal Studies.
    271. Charles F. Manski, 2016. "Credible Ecological Inference for Personalized Medicine: Formalizing Clinical Judgment," NBER Working Papers 22643, National Bureau of Economic Research, Inc.
    272. S. Sriram & Puneet Manchanda & Mercedes Bravo & Junhong Chu & Liye Ma & Minjae Song & Scott Shriver & Upender Subramanian, 2015. "Platforms: a multiplicity of research opportunities," Marketing Letters, Springer, vol. 26(2), pages 141-152, June.
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    275. Wayne Yuan Gao & Rui Wang, 2023. "IV Regressions without Exclusion Restrictions," Papers 2304.00626, arXiv.org, revised Jul 2023.
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  53. Horowitz, Joel & Manski, Charles, 1997. "Nonparametric Analysis of Randomized Experiments With Missing Covariate and Outcome Data," Working Papers 97-16, University of Iowa, Department of Economics.

    Cited by:

    1. Erich Battistin & Barbara Sianesi, 2006. "Misreported schooling and returns to education: evidence from the UK," CeMMAP working papers CWP07/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. David S. Lee, 2002. "Trimming for Bounds on Treatment Effects with Missing Outcomes," NBER Technical Working Papers 0277, National Bureau of Economic Research, Inc.
    3. Guido Imbens & Charles F. Manski, 2003. "Confidence intervals for partially identified parameters," CeMMAP working papers CWP09/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Charles F. Manski, 2000. "Using Studies of Treatment Response to Inform Treatment Choice in Heterogeneous Populations," NBER Technical Working Papers 0263, National Bureau of Economic Research, Inc.
    5. Arthur Lewbel, 2007. "Estimation of Average Treatment Effects with Misclassification," Econometrica, Econometric Society, vol. 75(2), pages 537-551, March.
    6. Govert Bijwaard & Geert Ridder, 1998. "Correcting for Selective Compliance in a Re-Employment Bonus Experiment," Economics Working Paper Archive 412, The Johns Hopkins University,Department of Economics.
    7. Arie Beresteanu & Francesca Molinari, 2008. "Asymptotic Properties for a Class of Partially Identified Models," Econometrica, Econometric Society, vol. 76(4), pages 763-814, July.
    8. Bollinger, Christopher R. & Hirsch, Barry, 2005. "Match Bias from Earnings Imputation in the Current Population Survey: The Case of Imperfect Matching," IZA Discussion Papers 1846, Institute of Labor Economics (IZA).
    9. Robert P. Sherman & Jeff Dominitz, 2006. "Identification and estimation of bounds on school performance measures: a nonparametric analysis of a mixture model with verification," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1295-1326.
    10. Rosen, Adam M., 2008. "Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities," Journal of Econometrics, Elsevier, vol. 146(1), pages 107-117, September.
    11. Lee & Myoung-jae, 2004. "Monotonicity Conditions and Inequality Imputation for Sample Selection and Non-Response Problems," Econometric Society 2004 Australasian Meetings 93, Econometric Society.
    12. Wilke, Ralf A. & Lo, Simon M. S. & Arntz, Melanie, 2007. "Bounds Analysis of Competing Risks: A Nonparametric Evaluation of the Effect of Unemployment Benefits on Imigration in Germany," ZEW Discussion Papers 07-049, ZEW - Leibniz Centre for European Economic Research.

  54. Manski, C.F., 1996. "Treatment Under Amibiguity," Working papers 9619r, Wisconsin Madison - Social Systems.

    Cited by:

    1. Woodward, Richard T., 1998. "Should Agricultural And Resource Economists Care That The Subjective Expected Utility Hypothesis Is False?," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20941, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  55. Charles F. Manski, 1996. "Identification of Anonymous Endogenous Interactions," Working Papers 96-04-019, Santa Fe Institute.

    Cited by:

    1. Carla Sá & Raymond Florax & Piet Rietveld, 2007. "Living-arrangement and university decisions of Dutch young adults," NIPE Working Papers 14/2007, NIPE - Universidade do Minho.
    2. Bernard Fortin & Nadia Joubert & Guy Lacroix, 2002. "Fiscalité, effets de voisinage et offre de travail au noir," Post-Print halshs-00178184, HAL.

  56. Dominitz, J. & Manski, C.F., 1996. "Perceptions of Economic Insecurity: Evidence from the Survey of Economic Expectations," Working papers 9614, Wisconsin Madison - Social Systems.

    Cited by:

    1. Andrew Clark & Fabien Postel-Vinay, 2009. "Job security and job protection," Oxford Economic Papers, Oxford University Press, vol. 61(2), pages 207-239, April.
    2. Federica Origo & Laura Pagani, 2008. "Flexicurity and Workers Well-Being in Europe: Is Temporary Employment Always Bad?," Working Papers 141, University of Milano-Bicocca, Department of Economics, revised Jun 2008.
    3. Evans, Keith S. & Herriges, Joseph A., 2010. "Rounding in recreation demand models: a latent class count model," ISU General Staff Papers 201006020700001116, Iowa State University, Department of Economics.
    4. Hyytinen, Ari & Pajarinen, Mika, 2005. "Why Are All New Entrepreneurs Better Than Average? Evidence from Subjective Failure Rate Expectations," Discussion Papers 987, The Research Institute of the Finnish Economy.
    5. Jos'e Raimundo Carvalho & Diego de Maria Andr'e & Yuri Costa, 2023. "Individual Updating of Subjective Probability of Homicide Victimization: a "Natural Experiment'' on Risk Communication," Papers 2312.08171, arXiv.org.
    6. Luigi Guiso & Tullio Jappelli & Luigi Pistaferri, 1998. "What Determines Earnings and Employment Risk?," CSEF Working Papers 08, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    7. Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008. "Rethinking the measurement of household inflation expectations: preliminary findings," Staff Reports 359, Federal Reserve Bank of New York.
    8. Sonja C. Kassenboehmer & Sonja G. Schatz, 2014. "Re-employment Expectations and the Eye of Providence," Melbourne Institute Working Paper Series wp2014n11, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    9. Becker, Sascha O. & Bentolila, Samuel & Fernandes, Ana & Ichino, Andrea, 2005. "Youth Emancipation and Perceived Job Insecurity of Parents and Children," IZA Discussion Papers 1836, Institute of Labor Economics (IZA).
    10. Moreno Baruffini & Federica Origo, 2014. "Job satisfaction and flexicurity over the business cycle: evidence from Swiss individual-level data," ERSA conference papers ersa14p366, European Regional Science Association.
    11. Martha Starr-McCluer, 1998. "Stock market wealth and consumer spending," Finance and Economics Discussion Series 1998-20, Board of Governors of the Federal Reserve System (U.S.).
    12. Flávio Cunha & Irma Elo & Jennifer Culhane, 2013. "Eliciting Maternal Expectations about the Technology of Cognitive Skill Formation," NBER Working Papers 19144, National Bureau of Economic Research, Inc.
    13. Jeff Dominitz & Charles F. Manski & Jordan Heinz, 2002. "Social Security Expectations and Retirement Savings Decisions," JCPR Working Papers 273, Northwestern University/University of Chicago Joint Center for Poverty Research.
    14. Böckerman, Petri, 2002. "Perception of job instability in Europe," MPRA Paper 4701, University Library of Munich, Germany.
    15. Manski, Charles F., 2006. "Interpreting the predictions of prediction markets," Economics Letters, Elsevier, vol. 91(3), pages 425-429, June.
    16. Luca Casolaro & Leonardo Gambacorta & Luigi Guiso, 2005. "Regulation, formal and informal enforcement and the development of the household loan market. Lessons from Italy," Temi di discussione (Economic working papers) 560, Bank of Italy, Economic Research and International Relations Area.
    17. Maria Ward Otoo, 1997. "The sources of worker anxiety: evidence from the Michigan survey," Finance and Economics Discussion Series 1997-48, Board of Governors of the Federal Reserve System (U.S.).
    18. Graham Loomes & Judith Mehta, 2007. "The sensitivity of subjective probability to time and elicitation method," Journal of Risk and Uncertainty, Springer, vol. 34(3), pages 201-216, June.
    19. Ahmed Khwaja & Frank Sloan & Sukyung Chung, 2007. "The relationship between individual expectations and behaviors: Mortality expectations and smoking decisions," Journal of Risk and Uncertainty, Springer, vol. 35(2), pages 179-201, October.
    20. ,, 2005. "Pill, Patch or Shot? Subjective Expectations and Birth Control Choice," CEPR Discussion Papers 4856, C.E.P.R. Discussion Papers.
    21. Ingo Geishecker, 2010. "Perceived Job Insecurity and Well-Being Revisited: Towards Conceptual Clarity," SOEPpapers on Multidisciplinary Panel Data Research 282, DIW Berlin, The German Socio-Economic Panel (SOEP).
    22. Jon D. Wisman & Kevin Capehart, 2009. "Creative Destruction, Economic Insecurity, Stress and Epidemic Obesity," Working Papers 2009-13 JEL classificatio, American University, Department of Economics.
    23. Kavan Kucko & Kevin Rinz & Benjamin Solow, 2017. "Labor Market Effects of the Affordable Care Act: Evidence from a Tax Notch," CARRA Working Papers 2017-07, Center for Economic Studies, U.S. Census Bureau.
    24. Adeline Delavande, 2008. "Measuring revisions to subjective expectations," Journal of Risk and Uncertainty, Springer, vol. 36(1), pages 43-82, February.
    25. Pesaran, M. Hashem & Weale, Martin, 2006. "Survey Expectations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 14, pages 715-776, Elsevier.
    26. Lars Osberg, 2009. "Measuring Economic Security in Insecure Times: New Perspectives, New Events, and the Index of Economic Well-being," CSLS Research Reports 2009-12, Centre for the Study of Living Standards.
    27. Dominitz, Jeff, 2001. "Estimation of income expectations models using expectations and realization data," Journal of Econometrics, Elsevier, vol. 102(2), pages 165-195, June.
    28. Peter AUER & Sandrine CAZES, 2000. "The resilience of the long-term employment relationship: Evidence from the industrialized countries," International Labour Review, International Labour Organization, vol. 139(4), pages 379-408, December.
    29. Jeff Dominitz & Charles F. Manski, 2011. "Measuring and interpreting expectations of equity returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 352-370, April.
    30. Jeff Dominitz & Charles F. Manski, 2003. "How Should We Measure Consumer Confidence (Sentiment)? Evidence from the Michigan Survey of Consumers," NBER Working Papers 9926, National Bureau of Economic Research, Inc.
    31. Mendez, Ildefonso, 2008. "The Role of Partnership Status and Expectations on the Emancipation Behaviour of Spanish Graduates," MPRA Paper 8655, University Library of Munich, Germany.
    32. Richard G. Anderson & Charles S. Gascon, 2008. "Offshoring, economic insecurity, and the demand for social insurance," Working Papers 2008-003, Federal Reserve Bank of St. Louis.
    33. Jeff Dominitz & Charles F. Manski & Jordan Heinz, 2003. ""Will Social Security Be There For You?": How Americans Perceive Their Benefits," NBER Working Papers 9798, National Bureau of Economic Research, Inc.
    34. Álvarez, Begoña & Vera-Hernández, Marcos, 2013. "Exploiting subjective information to understand impoverished children's use of health care," Journal of Health Economics, Elsevier, vol. 32(6), pages 1194-1204.
    35. Vladimir Gimpelson & Aleksey Oshchepkov, 2012. "Does More Unemployment Cause More Fear of Unemployment?," HSE Working papers WP BRP 13/EC/2012, National Research University Higher School of Economics.
    36. Francisco Maeso & Ildefonso Mendez, 2008. "The Role of Partnership Status and Expectations on the Emancipation Behaviour of Spanish Graduates," Working Papers wp2008_0812, CEMFI.
    37. Origo, Federica & Pagani, Laura, 2009. "Flexicurity and job satisfaction in Europe: The importance of perceived and actual job stability for well-being at work," Labour Economics, Elsevier, vol. 16(5), pages 547-555, October.

  57. Manski, C.F., 1996. "Monotone Treatment Response," Working papers 9604, Wisconsin Madison - Social Systems.

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    1. Brantly Callaway, 2020. "Bounds on Distributional Treatment Effect Parameters using Panel Data with an Application on Job Displacement," Papers 2008.08117, arXiv.org.
    2. C, Loran & Eckbo, Espen & Lu, Ching-Chih, 2014. "Does Executive Compensation Reflect Default Risk?," UiS Working Papers in Economics and Finance 2014/11, University of Stavanger.
    3. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    4. Sokbae Lee & Oliver Linton & Yoon-Jae Whang, 2009. "Testing for Stochastic Monotonicity," Econometrica, Econometric Society, vol. 77(2), pages 585-602, March.
    5. Kamila Cygan‐Rehm & Daniel Kuehnle & Michael Oberfichtner, 2017. "Bounding the causal effect of unemployment on mental health: Nonparametric evidence from four countries," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1844-1861, December.
    6. Chaisemartin, Clément de, 2014. "Tolerating defiance? Local average treatment effects without monotonicity," CAGE Online Working Paper Series 197, Competitive Advantage in the Global Economy (CAGE).
    7. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    8. Martin Huber & Giovanni Mellace, 2015. "Sharp Bounds on Causal Effects under Sample Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 129-151, February.
    9. Brent Kreider & John V. Pepper & Craig Gundersen & Dean Jolliffe, 2012. "Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 958-975, September.
    10. Brock,W.A. & Durlauf,S.N., 2004. "Identification of binary choice models with social interactions," Working papers 2, Wisconsin Madison - Social Systems.
    11. Vikström, Johan & Ridder, Geert & Weidner, Martin, 2018. "Bounds on treatment effects on transitions," Journal of Econometrics, Elsevier, vol. 205(2), pages 448-469.
    12. Amin, Vikesh & Behrman, Jere R. & Fletcher, Jason M. & Flores, Carlos A. & Flores-Lagunes, Alfonso & Kohler, Hans-Peter, 2022. "Does Schooling Improve Cognitive Abilities at Older Ages: Causal Evidence from Nonparametric Bounds," IZA Discussion Papers 15371, Institute of Labor Economics (IZA).
    13. Clément de Chaisemartin, 2012. "Fuzzy differences in differences," PSE Working Papers halshs-00671368, HAL.
    14. Santiago Acerenza & Otávio Bartalotti & Désiré Kédagni, 2023. "Testing identifying assumptions in bivariate probit models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 407-422, April.
    15. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    16. John Mullahy, 2020. "Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID-19 Clinical Trials," NBER Working Papers 27895, National Bureau of Economic Research, Inc.
    17. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April.
    18. Vira Semenova, 2023. "Adaptive Estimation of Intersection Bounds: a Classification Approach," Papers 2303.00982, arXiv.org.
    19. Campo, Juan Carlos Chavez-Martin del, 2006. "Does Conditionality Generate Heterogeneity and Regressivity in Program Impacts? The Progresa Experience," Working Papers 127042, Cornell University, Department of Applied Economics and Management.
    20. Vazquez-Alvarez, R. & Melenberg, B. & van Soest, A.H.O., 1999. "Nonparametric Bounds on the Income Distribution in the Presence of Item Nonresponse," Discussion Paper 1999-33, Tilburg University, Center for Economic Research.
    21. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    22. Paul Poast, 2013. "Issue linkage and international cooperation: An empirical investigation," Conflict Management and Peace Science, Peace Science Society (International), vol. 30(3), pages 286-303, July.
    23. Jiannan Lu & Peng Ding & Tirthankar Dasgupta, 2018. "Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds," Journal of Educational and Behavioral Statistics, , vol. 43(5), pages 540-567, October.
    24. Germinario, Giuseppe & Amin, Vikesh & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2022. "What can we learn about the effect of mental health on labor market outcomes under weak assumptions? Evidence from the NLSY79," Labour Economics, Elsevier, vol. 79(C).
    25. Monique De Haan, 2017. "The Effect of Additional Funds for Low‐ability Pupils: A Non‐parametric Bounds Analysis," Economic Journal, Royal Economic Society, vol. 127(599), pages 177-198, February.
    26. Melvin Stephens, Jr. & Takashi Unayama, 2015. "Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data," NBER Working Papers 21248, National Bureau of Economic Research, Inc.
    27. Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
    28. Okumura, Tsunao, 2011. "Nonparametric Estimation of Labor Supply and Demand Factors," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 174-185.
    29. Kline, Brendan & Tamer, Elie, 2012. "Bounds for best response functions in binary games," Journal of Econometrics, Elsevier, vol. 166(1), pages 92-105.
    30. Daniel Ober-Reynolds, 2023. "Estimating Functionals of the Joint Distribution of Potential Outcomes with Optimal Transport," Papers 2311.09435, arXiv.org.
    31. Brent Kreider & John V. Pepper & Manan Roy, 2020. "Does The Women, Infants, And Children Program Improve Infant Health Outcomes?," Economic Inquiry, Western Economic Association International, vol. 58(4), pages 1731-1756, October.
    32. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    33. Kyunghoon Ban & D'esir'e K'edagni, 2021. "Nonparametric Bounds on Treatment Effects with Imperfect Instruments," Papers 2109.14785, arXiv.org.
    34. Sungwon Lee, 2020. "Identification and Confidence Regions for Treatment Effect and its Distribution under Stochastic Dominance," Working Papers 2011, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    35. González, Libertad, 2004. "Nonparametric Bounds on the Returns to Language Skills," IZA Discussion Papers 1098, Institute of Labor Economics (IZA).
    36. Alberto Abadie, 2000. "Semiparametric Estimation of Instrumental Variable Models for Causal Effects," NBER Technical Working Papers 0260, National Bureau of Economic Research, Inc.
    37. Taguri Masataka & Chiba Yasutaka, 2012. "Instruments and Bounds for Causal Effects under the Monotonic Selection Assumption," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-23, August.
    38. Qian, Hang, 2011. "Bayesian inference with monotone instrumental variables," MPRA Paper 32672, University Library of Munich, Germany.
    39. Eduardo Fé, 2021. "Pension eligibility rules and the local causal effect of retirement on cognitive functioning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 812-841, July.
    40. Charles F. Manski & John Newman & John V. Pepper, "undated". "Using Performance Standards to Evaluate Social Programs with Incomplete Outcome Data: General Issues and Application to a Higher Education Block Grant Program," IPR working papers 00-1, Institute for Policy Resarch at Northwestern University.
    41. Jensen, Helen H. & Kreider, Brent & Zhylyevskyy, Oleksandr, 2019. "Investigating Treatment Effects of Participating Jointly in SNAP and WIC when the Treatment Is Validated Only for SNAP," ISU General Staff Papers 201907010700001069, Iowa State University, Department of Economics.
    42. Richey, Jeremiah, 2015. "Shackled labor markets: Bounding the causal effects of criminal convictions in the U.S," International Review of Law and Economics, Elsevier, vol. 41(C), pages 17-24.
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    50. Lafférs, Lukáš, 2013. "A note on bounding average treatment effects," Economics Letters, Elsevier, vol. 120(3), pages 424-428.
    51. de Haan, Monique & Leuven, Edwin, 2016. "Head Start and the Distribution of Long Term Education and Labor Market Outcomes," IZA Discussion Papers 9915, Institute of Labor Economics (IZA).
    52. Grant, Charles & Padula, Mario, 2013. "Using bounds to investigate household debt repayment behaviour," Research in Economics, Elsevier, vol. 67(4), pages 336-354.
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    54. Arthur Lewbel, 2007. "Estimation of Average Treatment Effects with Misclassification," Econometrica, Econometric Society, vol. 75(2), pages 537-551, March.
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    56. Okumura, Tsunao & 奥村, 綱雄 & オクムラ, ツナオ & Usui, Emiko & 臼井, 恵美子 & ウスイ, エミコ, 2010. "Concave-Monotone Treatment Response and Monotone Treatment Selection: With an Application to the Returns to Schooling," PIE/CIS Discussion Paper 475, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    57. Shriver, Scott K. & Nair, Harikesh S. & Hofstetter, Reto, 2011. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Research Papers 2083, Stanford University, Graduate School of Business.
    58. Jeffry Jacob & Abdul Munasib, 2020. "Do social networks promote homeownership?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 67(2), pages 189-230, June.
    59. Charles F. Manski, 2005. "Search Profiling with Partial Knowledge of Deterrence," NBER Working Papers 11848, National Bureau of Economic Research, Inc.
    60. Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.
    61. Schleicher, Michael & Klonner, Stefan & Sauerborn, Rainer & Sié, Alie & Souares, Aurélia, 2018. "The Demand for Health Insurance in a Poor Economy: Evidence from Burkina Faso," Working Papers 0648, University of Heidelberg, Department of Economics.
    62. Charles F. Manski & John Newman & John V. Pepper, 2002. "Using Performance Standards to Evaluate Social Programs with Incomplete Outcome Data," Evaluation Review, , vol. 26(4), pages 355-381, August.
    63. Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2010. "Partial identification using random set theory," CeMMAP working papers CWP40/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    64. Sung Jae Jun & Sokbae (Simon) Lee, 2020. "Causal inference in case-control studies," CeMMAP working papers CWP19/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    68. Sung Jae Jun & Sokbae Lee, 2022. "Average Adjusted Association: Efficient Estimation with High Dimensional Confounders," Papers 2205.14048, arXiv.org, revised Apr 2023.
    69. Charles F. Manski, 2014. "Vaccine Approvals and Mandates Under Uncertainty: Some Simple Analytics," NBER Working Papers 20432, National Bureau of Economic Research, Inc.
    70. Gundersen, Craig & Kreider, Brent & Pepper, John V., 2009. "The Impact of the National School Lunch Program on Child Health: A Nonparametric Bounds Analysis," Staff General Research Papers Archive 13148, Iowa State University, Department of Economics.
    71. Jaap H. Abbring & Gerard J. van den Berg, 2005. "Social Experiments and Instrumental Variables with Duration Outcomes," Tinbergen Institute Discussion Papers 05-047/3, Tinbergen Institute.
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    74. Laurens Cherchye & Thomas Demuynck & Bram De Rock, 2017. "Bounding counterfactual demand with unobserved heterogeneity and endogenous expenditures," Working Papers of Department of Economics, Leuven 598907, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
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    76. Anders Holm & Mads Meier Jæger, 2009. "Selection Bias in Educational Transition Models: Theory and Empirical Evidence," CAM Working Papers 2009-05, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    77. Andrew Chesher, 2002. "Local identification in nonseparable models," CeMMAP working papers 05/02, Institute for Fiscal Studies.
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    79. Chaoran Chen & Zhigang Feng & Jiaying Gu, 2024. "Health, Health Insurance, and Inequality," Working Papers tecipa-767, University of Toronto, Department of Economics.
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    95. Charles F. Manski, 2018. "Reasonable patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1397-1421, October.
    96. Michael Lechner & Blaise Melly, 2010. "Partial Idendification of Wage Effects of Training Programs," Working Papers 2010-8, Brown University, Department of Economics.
    97. Wenlong Ji & Lihua Lei & Asher Spector, 2023. "Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects," Papers 2310.08115, arXiv.org.
    98. Yiwei Sun, 2023. "Extrapolating Away from the Cutoff in Regression Discontinuity Designs," Papers 2311.18136, arXiv.org.
    99. Chen, Yuyu & Lin, Liyuan & Wang, Ruodu, 2022. "Risk aggregation under dependence uncertainty and an order constraint," Insurance: Mathematics and Economics, Elsevier, vol. 102(C), pages 169-187.
    100. Sungwon Lee, 2021. "Partial Identification and Inference for Conditional Distributions of Treatment Effects," Papers 2108.00723, arXiv.org, revised Nov 2023.
    101. Philip Marx & Elie Tamer & Xun Tang, 2022. "Parallel Trends and Dynamic Choices," Papers 2207.06564, arXiv.org, revised Aug 2023.
    102. Lydon, Reamonn & Walker, Ian, 2004. "Welfare-to-Work, Wages and Wage Growth," IZA Discussion Papers 1144, Institute of Labor Economics (IZA).
    103. Sokbae (Simon) Lee & Ralf A. Wilke Wilke, 2005. "Reform of unemployment compensation in Germany: a nonparametric bounds analysis using register data," CeMMAP working papers CWP02/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    104. Firpo, Sergio & Ridder, Geert, 2019. "Partial identification of the treatment effect distribution and its functionals," Journal of Econometrics, Elsevier, vol. 213(1), pages 210-234.
    105. Johan Vikström & Geert Ridder & Martin Weidner, 2016. "Bounds On Treatment Effects On Transitions," CeMMAP working papers 17/16, Institute for Fiscal Studies.
    106. Martine Mariotti & Juergen Meinecke, 2009. "Nonparametric Bounds on Returns to Education in South Africa: Overcoming Ability and Selection Bias," ANU Working Papers in Economics and Econometrics 2009-510, Australian National University, College of Business and Economics, School of Economics.
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    108. Machado, Cecilia & Shaikh, Azeem M. & Vytlacil, Edward J., 2019. "Instrumental variables and the sign of the average treatment effect," Journal of Econometrics, Elsevier, vol. 212(2), pages 522-555.
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    110. Riccardo D'Adamo, 2021. "Orthogonal Policy Learning Under Ambiguity," Papers 2111.10904, arXiv.org, revised Dec 2022.
    111. Joshua Angrist & Eric Bettinger & Michael Kremer, 2006. "Long-Term Educational Consequences of Secondary School Vouchers: Evidence from Administrative Records in Colombia," American Economic Review, American Economic Association, vol. 96(3), pages 847-862, June.
    112. Stefan Boes, 2010. "Convex Treatment Response and Treatment Selection," SOI - Working Papers 1001, Socioeconomic Institute - University of Zurich.
    113. Charles F. Manski, 2003. "Identification Problems in the Social Sciences and Everyday Life," Southern Economic Journal, John Wiley & Sons, vol. 70(1), pages 11-21, July.
    114. Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables: With an Application to the Returns to Schooling," Virginia Economics Online Papers 308, University of Virginia, Department of Economics.
    115. Bierens, Herman J. & Swanson, Norman R., 2000. "The econometric consequences of the ceteris paribus condition in economic theory," Journal of Econometrics, Elsevier, vol. 95(2), pages 223-253, April.
    116. Kevin E. Staub, 2010. "A causal interpretation of extensive and intensive margin effects in generalized Tobit models," SOI - Working Papers 1012, Socioeconomic Institute - University of Zurich.
    117. Patrick Bajari & C. Lanier Benkard, 2001. "Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Working Papers 01010, Stanford University, Department of Economics.
    118. Vazquez-Alvarez, R., 2001. "A nonparametric approach to the sample selection problem in survey data," Other publications TiSEM 45870f3f-60db-40c3-83ef-5, Tilburg University, School of Economics and Management.
    119. Lin, C.Y. Cynthia, 2008. "Estimating Supply and Demand in the World Oil Market," Working Papers 225893, University of California, Davis, Department of Agricultural and Resource Economics.
    120. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    121. Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
    122. Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
    123. Matthew D. Baird & Jonathan Cantor & Wendy M. Troxel & Tamara Dubowitz, 2022. "Job loss and psychological distress during the COVID‐19 pandemic: Longitudinal Analysis from residents in nine predominantly African American low‐income neighborhoods," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 1844-1861, September.
    124. Craig Gundersen & Brent Kreider & John Pepper & Valerie Tarasuk, 2017. "Food assistance programs and food insecurity: implications for Canada in light of the mixing problem," Empirical Economics, Springer, vol. 52(3), pages 1065-1087, May.
    125. Xu, Chen & Liu, Xiao, 2023. "The economic value of language in China: How important is Mandarin proficiency in the Chinese labor market? A bounding approach," Labour Economics, Elsevier, vol. 84(C).
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    127. Nathan Kallus, 2022. "What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment," Papers 2205.10327, arXiv.org, revised Nov 2022.
    128. Vishal Kamat & Samuel Norris & Matthew Pecenco, 2023. "Identification in Multiple Treatment Models under Discrete Variation," Papers 2307.06174, arXiv.org.
    129. Johan Vikström & Geert Ridder & Martin Weidner, 2015. "Bounds on treatment effects on transitions," CeMMAP working papers 01/15, Institute for Fiscal Studies.
    130. Michael Lechner, 2002. "Mikroökonometrische Evaluation arbeitsmarktpolitischer Massnahmen," University of St. Gallen Department of Economics working paper series 2002 2002-20, Department of Economics, University of St. Gallen.
    131. Masayuki Sawada, 2019. "Noncompliance in randomized control trials without exclusion restrictions," Papers 1910.03204, arXiv.org, revised Jun 2021.
    132. Lee, Ji Hyung & Park, Byoung G., 2023. "Nonparametric identification and estimation of the extended Roy model," Journal of Econometrics, Elsevier, vol. 235(2), pages 1087-1113.
    133. Jian Huang & Henriëtte Maassen van den Brink & Wim Groot, 2012. "Does education promote social capital? Evidence from IV analysis and nonparametric-bound analysis," Empirical Economics, Springer, vol. 42(3), pages 1011-1034, June.
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    135. Stefan Boes, 2011. "On the causal effect of schooling on smoking: evidence without exogeneity conditions," Diskussionsschriften dp1102, Universitaet Bern, Departement Volkswirtschaft.
    136. Yuyu Chen & Liyuan Lin & Ruodu Wang, 2021. "Risk Aggregation under Dependence Uncertainty and an Order Constraint," Papers 2104.07718, arXiv.org, revised Oct 2021.
    137. Bajari, Patrick & Benkard, C. Lanier, 2004. "Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Research Papers 1842, Stanford University, Graduate School of Business.
    138. Das, Tirthatanmoy & Polachek, Solomon, 2022. "The Econometrics of Antidotal Variables," IZA Discussion Papers 15558, Institute of Labor Economics (IZA).
    139. Kédagni, Désiré, 2023. "Identifying treatment effects in the presence of confounded types," Journal of Econometrics, Elsevier, vol. 234(2), pages 479-511.
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    143. John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1050-1069, May.
    144. Wei, Min-Fang & Gundersen, Craig G., 2023. "Does the choice of eligibility metric influence the relationship between SNAP and food insecurity?," 2023 Annual Meeting, July 23-25, Washington D.C. 335873, Agricultural and Applied Economics Association.
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    146. Sungwon Lee, 2024. "Partial identification and inference for conditional distributions of treatment effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 107-127, January.

  58. Goldberger, A.S. & Manski, C.F., 1995. "Review Article: The Bell Curve by Herrnstein and Murray," Working papers 9502, Wisconsin Madison - Social Systems.

    Cited by:

    1. Dionissi Aliprantis, 2014. "When Should Children Start School?," Journal of Human Capital, University of Chicago Press, vol. 8(4), pages 481-536.
    2. Dionissi Aliprantis & Daniel R. Carroll, 2018. "Neighborhood dynamics and the distribution of opportunity," Quantitative Economics, Econometric Society, vol. 9(1), pages 247-303, March.
    3. Gabriela Schütz & Ludger Wößmann, 2005. "Reducing inequality in educational opportunity," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(21), pages 15-25, November.
    4. Erik Plug & Wim Vijverberg, 2003. "Schooling, Family Background, and Adoption: Is It Nature or Is It Nurture?," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 611-641, June.
    5. Hanushek, Eric A. & Jacobs, Babs & Schwerdt, Guido & Van der Velden, Rolf & Vermeulen, Stan & Wiederhold, Simon, 2021. "The Intergenerational Transmission of Cognitive Skills: An Investigation of the Causal Impact of Families on Student Outcomes," IZA Discussion Papers 14854, Institute of Labor Economics (IZA).
    6. Arnaud Chevalier & Gauthier Lanot, 2001. "The relative effect of family and financial characteristics on educational echievement," CEE Discussion Papers 0008, Centre for the Economics of Education, LSE.
    7. Janet Currie & Duncan Thomas, 1995. "Race, Children's Cognitive Achievement and The Bell Curve," NBER Working Papers 5240, National Bureau of Economic Research, Inc.
    8. Zetterberg, Johnny, 2005. "Swedish evidence on the impact of cognitive and non-cognitive ability on earnings – an extended pre-market factor approach," Working Paper Series 2005:16, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    9. Berhman, J-R & Kletzer, L & Constantine, J & McPherson, M & Schapiro, M-O, 1996. "The Impact of College Quality on Wages : Are There Differences Among Demographic Groups?," Williams Project on the Economics of Higher Education DP-38, Department of Economics, Williams College.
    10. Arnaud Chevalier & Gauthier Lanot, 2002. "The Relative Effect of Family Characteristics and Financial Situation on Educational Achievement," Education Economics, Taylor & Francis Journals, vol. 10(2), pages 165-181.
    11. Israel, Mark & Seeborg, Michael, 1998. "The impact of youth characteristics and experiences on transitions out of poverty," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 27(6), pages 753-776.
    12. Bönke, Timm & Neidhöfer, Guido, 2014. "Parental background matters: Intergenerational mobility and assimilation of Italian immigrants in Germany," Discussion Papers 2014/21, Free University Berlin, School of Business & Economics.
    13. Murnane, Richard J. & Willett, John B. & Braatz, M. Jay & Duhaldeborde, Yves, 2001. "Do different dimensions of male high school students' skills predict labor market success a decade later? Evidence from the NLSY," Economics of Education Review, Elsevier, vol. 20(4), pages 311-320, August.
    14. Seals, Richard Alan & Stern, Liliana V., 2013. "Cognitive ability and the division of labor in urban ghettos: Evidence from gang activity in U.S. data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 44(C), pages 140-149.
    15. Charles F. Manski, 2011. "Genes, Eyeglasses, and Social Policy," Journal of Economic Perspectives, American Economic Association, vol. 25(4), pages 83-94, Fall.
    16. Marks, Gary N., 2022. "Cognitive ability has powerful, widespread and robust effects on social stratification: Evidence from the 1979 and 1997 US National Longitudinal Surveys of Youth," Intelligence, Elsevier, vol. 94(C).
    17. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    18. Sanders Korenman & Christopher Winship, 1995. "A Reanalysis of The Bell Curve," NBER Working Papers 5230, National Bureau of Economic Research, Inc.
    19. Blackburn, McKinley L., 2004. "The role of test scores in explaining race and gender differences in wages," Economics of Education Review, Elsevier, vol. 23(6), pages 555-576, December.
    20. Daniele Checchi, 1997. "Education and Intergenerational Mobility in Occupations," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 66(1), pages 136-144.

  59. Horowitz, J.L. & Manski, C.F., 1995. "Censoring of Outcomes and Regressors Due to Survey Nonresponse: Identification and Estimation Using Weights and Imputations," Working papers 9525, Wisconsin Madison - Social Systems.

    Cited by:

    1. Susan Godlonton, 2014. "Employment Risk and Job-Seeker Performance," Department of Economics Working Papers 2016-10, Department of Economics, Williams College, revised Jun 2016.
    2. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    3. Essig, Lothar & Winter, Joachim, 2003. "Item nonresponse to financial questions in household surveys: An experimental study of interviewer and mode effects," Sonderforschungsbereich 504 Publications 05-18, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    4. Andreas Steinhauer, 2018. "Working Moms, Childlessness, and Female Identity," Working Papers hal-03475468, HAL.
    5. Kaitlin Anderson & Gema Zamarro & Jennifer Steele & Trey Miller, 2021. "Comparing Performance of Methods to Deal With Differential Attrition in Randomized Experimental Evaluations," Evaluation Review, , vol. 45(1-2), pages 70-104, February.
    6. Inkmann, Joachim, 2001. "Accounting for Nonresponse Heterogeneity in Panel Data," CoFE Discussion Papers 01/03, University of Konstanz, Center of Finance and Econometrics (CoFE).
    7. Molinari, Francesca, 2005. "Missing Treatments," Working Papers 05-11, Cornell University, Center for Analytic Economics.
    8. Winter, Joachim, 2002. "Bracketing effects in categorized survey questions and the measurement of economic quantities," Papers 02-35, Sonderforschungsbreich 504.
    9. David S. Lee, 2002. "Trimming for Bounds on Treatment Effects with Missing Outcomes," NBER Technical Working Papers 0277, National Bureau of Economic Research, Inc.
    10. Steinhauer, Andreas, 2018. "Working Moms, Childlessness, and Female Identity," CEPR Discussion Papers 12929, C.E.P.R. Discussion Papers.
    11. Andreas Steinhauer, 2018. "Working Moms, Childlessness, and Female Identity," Sciences Po publications 79, Sciences Po.
    12. Bruno Arpino & Elisabetta De Cao & Franco Peracchi, 2011. "Using panel data to partially identify HIV prevalence when HIV status is not missing at random," EIEF Working Papers Series 1113, Einaudi Institute for Economics and Finance (EIEF), revised Aug 2011.
    13. Manski, Charles F., 2016. "Credible interval estimates for official statistics with survey nonresponse," Journal of Econometrics, Elsevier, vol. 191(2), pages 293-301.
    14. Marco Castillo & Ragan Petrie, 2007. "Discrimination in the Warplace: Evidence from a Civil War in Peru," Experimental Economics Center Working Paper Series 2007-10, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    15. Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
    16. Cho, Yoonyoung. & Kalomba, Davie. & Mobarak, Ahmed Mushfiq. & Orozco, Víctor., 2015. "Differences in the effects of vocational training on men and women : constraints on women and drop-out behaviour," ILO Working Papers 994874103402676, International Labour Organization.
    17. Inkmann, Joachim, 2006. "Compensating wage differentials for defined benefit and defined contribution occupational pension scheme benefits," LSE Research Online Documents on Economics 24516, London School of Economics and Political Science, LSE Library.
    18. Nicoletti, Cheti & Peracchi, Franco, 2004. "The effects of income imputation on micro analyses: evidence from the ECHP," ISER Working Paper Series 2004-19, Institute for Social and Economic Research.
    19. Nicoletti, Cheti, 2006. "Nonresponse in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 461-489, June.
    20. Yongwei Chen & Dahai Fu, 2015. "Measuring income inequality using survey data: the case of China," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 299-307, June.
    21. Luc Behaghel & Bruno Crépon & Marc Gurgand & Thomas Le Barbanchon, 2015. "Please Call Again: Correcting Nonresponse Bias in Treatment Effect Models," PSE-Ecole d'économie de Paris (Postprint) halshs-01245539, HAL.
    22. Jakiela,Pamela & Ozier,Owen, 2018. "Gendered language," Policy Research Working Paper Series 8464, The World Bank.
    23. Haile,P.A. & Tamer,E.T., 2000. "Inference with an incomplete model of English auctions," Working papers 18, Wisconsin Madison - Social Systems.
    24. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
    25. Rieck, Karsten Marshall E. & Telle, Kjetil, 2012. "Sick Leave Before, During and After Pregnancy," Working Papers in Economics 06/12, University of Bergen, Department of Economics.
    26. Guido Imbens & Charles F. Manski, 2003. "Confidence intervals for partially identified parameters," CeMMAP working papers CWP09/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November.
    28. Eugene Kouassi & Jean Paul Tchankam & Oluyele Akinkugbe & J. M. Brou Bosson, 2022. "Is the intergenerational transmission of poverty a fallacy? Evidence from Botswana survey data," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(8), pages 1476-1495, November.
    29. Andrew M. Jones & Xander Koolman & Nigel Rice, 2006. "Health‐related non‐response in the British Household Panel Survey and European Community Household Panel: using inverse‐probability‐weighted estimators in non‐linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 543-569, July.
    30. Kraft, Holger & Kroisandt, Gerald & Müller, Marlene, 2002. "Assessing the discriminatory power of credit scores," SFB 373 Discussion Papers 2002,67, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    31. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers 07/03, Institute for Fiscal Studies.
    32. Damm, Anna Piil & Mattana, Elena & Nielsen, Helena Skyt, 2022. "Effects of school displacement on academic achievement and wellbeing of ethnic minorities," Labour Economics, Elsevier, vol. 79(C).
    33. Charles F. Manski, 2000. "Using Studies of Treatment Response to Inform Treatment Choice in Heterogeneous Populations," NBER Technical Working Papers 0263, National Bureau of Economic Research, Inc.
    34. Jeff Dominitz & Robert P. Sherman, 2006. "Identification and estimation of bounds on school performance measures: a nonparametric analysis of a mixture model with verification," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1295-1326, December.
    35. Andrew Chesher & Adam Rosen, 2019. "Generalized Instrumental Variable Models, Methods, and Applications," CeMMAP working papers CWP41/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    36. van den Berg, Gerard J. & Lindeboom, Maarten & Dolton, Peter, 2004. "Survey Non-Response and Unemployment Duration," IZA Discussion Papers 1303, Institute of Labor Economics (IZA).
    37. Martin Huber, 2012. "Identification of Average Treatment Effects in Social Experiments Under Alternative Forms of Attrition," Journal of Educational and Behavioral Statistics, , vol. 37(3), pages 443-474, June.
    38. Galichon, Alfred & Henry, Marc, 2009. "A test of non-identifying restrictions and confidence regions for partially identified parameters," Journal of Econometrics, Elsevier, vol. 152(2), pages 186-196, October.
    39. Arie Beresteanu & Francesca Molinari, 2008. "Asymptotic Properties for a Class of Partially Identified Models," Econometrica, Econometric Society, vol. 76(4), pages 763-814, July.
    40. Charles F. Manski & John D. Straub, 2000. "Worker Perceptions of Job Insecurity in the Mid-1990s: Evidence from the Survey of Economic Expectations," Journal of Human Resources, University of Wisconsin Press, vol. 35(3), pages 447-479.
    41. Fabling, Richard & Grimes, Arthur & Stevens, Philip, 2008. "A Comparison of Qualitative and Quantitative Firm Performance Measures," Occasional Papers 08/4, Ministry of Economic Development, New Zealand.
    42. J. Fitzgerald & P. Gottschalk & R. Moffitt, "undated". "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Institute for Research on Poverty Discussion Papers 1156-98, University of Wisconsin Institute for Research on Poverty.
    43. Rosalia Vazquez-Alvarez, 2003. "Anchoring Bias and Covariate Nonresponse," University of St. Gallen Department of Economics working paper series 2003 2003-19, Department of Economics, University of St. Gallen.
    44. Arie Kapteyn & Pierre-Carl Michaud & James P. Smith & Arthur Van Soest, 2006. "Effects of Attrition and Non-Response in the Health and Retirement Study," Working Papers WR-407, RAND Corporation.
    45. Arkadiusz Szydlowski, 2015. "Endogenous Censoring in the Mixed Proportional Hazard Model with an Application to Optimal Unemployment Insurance," Discussion Papers in Economics 15/06, Division of Economics, School of Business, University of Leicester.
    46. Giulio Tarditi, 2007. "Poverty Analysis in the European Union: A Fuzzy Multidimensional Approach," Rivista di Politica Economica, SIPI Spa, vol. 97(6), pages 37-80, November-.
    47. Gundersen, Craig & Kreider, Brent & Pepper, John V., 2009. "The Impact of the National School Lunch Program on Child Health: A Nonparametric Bounds Analysis," Staff General Research Papers Archive 13148, Iowa State University, Department of Economics.
    48. Regina Riphahn & Oliver Serfling, 2005. "Item non-response on income and wealth questions," Empirical Economics, Springer, vol. 30(2), pages 521-538, September.
    49. Inkmann, J., 2005. "Inverse Probability Weighted Generalised Empirical Likelihood Estimators : Firm Size and R&D Revisited," Other publications TiSEM c39cff1f-16c1-4446-a83f-c, Tilburg University, School of Economics and Management.
    50. Charles F. Manski, 2015. "Communicating Uncertainty in Official Economic Statistics: An Appraisal Fifty Years after Morgenstern," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 631-653, September.
    51. Christopher J. Gerry & Georgios Papadopoulos, 2015. "Sample attrition in the RLMS, 2001–10," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 23(2), pages 425-468, April.
    52. Bollinger, Christopher R. & Hirsch, Barry, 2005. "Match Bias from Earnings Imputation in the Current Population Survey: The Case of Imperfect Matching," IZA Discussion Papers 1846, Institute of Labor Economics (IZA).
    53. Anders Holm & Mads Meier Jæger, 2009. "Selection Bias in Educational Transition Models: Theory and Empirical Evidence," CAM Working Papers 2009-05, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    54. Onur Başer & Joseph C. Gardiner & Cathy J. Bradley & Hüseyin Yüce & Charles Given, 2006. "Longitudinal analysis of censored medical cost data," Health Economics, John Wiley & Sons, Ltd., vol. 15(5), pages 513-525, May.
    55. Rodriguez-Oreggia, Eduardo & Lopez-Videla, Bruno, 2014. "Imputación de ingresos laborales: Una aplicación con encuestas de empleo en México [Labor earnings imputation: An application using labor surveys in Mexico]," MPRA Paper 54436, University Library of Munich, Germany.
    56. Martin Huber, 2010. "Identification of average treatment effects in social experiments under different forms of attrition," University of St. Gallen Department of Economics working paper series 2010 2010-22, Department of Economics, University of St. Gallen.
    57. James L. Powell, 2017. "Identification and Asymptotic Approximations: Three Examples of Progress in Econometric Theory," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 107-124, Spring.
    58. Cho, Yoon Y. & Kalomba, Davie & Mobarak, Ahmed Mushfiq & Orozco, Victor, 2013. "Gender Differences in the Effects of Vocational Training: Constraints on Women and Drop-Out Behavior," IZA Discussion Papers 7408, Institute of Labor Economics (IZA).
    59. Zhiwei Zhang, 2010. "Profile Likelihood and Incomplete Data," International Statistical Review, International Statistical Institute, vol. 78(1), pages 102-116, April.
    60. Tue Gørgens & Chris Ryan, 2008. "A bounds analysis of school completion rates in Australia," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 287-304.
    61. Giuseppe De Luca & Franco Peracchi, 2007. "A sample selection model for unit and item nonresponse in cross-sectional surveys," CEIS Research Paper 95, Tor Vergata University, CEIS.
    62. Brownstone, David, 1997. "Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition," University of California Transportation Center, Working Papers qt2zd6w6hh, University of California Transportation Center.
    63. Cheti Nicoletti & Franco Peracchi & Francesca Foliano, 2011. "Estimating Income Poverty in the Presence of Missing Data and Measurement Error," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 61-72, January.
    64. Damm, Anna Piil & Mattana, Elena & Nielsen, Helena Skyt & Rouland, Benedicte, 2021. "Academic achievement and wellbeing of dual language learners: Evidence from a busing program," Journal of Urban Economics, Elsevier, vol. 126(C).
    65. Charles F. Manski, 2003. "Identification Problems in the Social Sciences and Everyday Life," Southern Economic Journal, John Wiley & Sons, vol. 70(1), pages 11-21, July.
    66. Beenstock, Michael & Chiswick, Barry R. & Paltiel, Ari, 2005. "Endogenous Assimilation and Immigrant Adjustment in Longitudinal Data," IZA Discussion Papers 1840, Institute of Labor Economics (IZA).
    67. Denis Conniffe & Vanessa Gash & Philip J., 2000. "Evaluating Programmes: Experiments, Non-Experiments and Propensity Scores," Papers WP126, Economic and Social Research Institute (ESRI).
    68. Charles F. Manski, 2022. "Inference with Imputed Data: The Allure of Making Stuff Up," Papers 2205.07388, arXiv.org.
    69. Dietz, Brian, 2001. "An Analysis Of Statistical Errors In Contingent Valuation Surveys," 2001 Annual meeting, August 5-8, Chicago, IL 20462, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    70. Nicoletti, Cheti & Peracchi, Franco & Foliano, Francesca, 2007. "Estimating income poverty in the presence of measurement error and missing data problems," ISER Working Paper Series 2007-15, Institute for Social and Economic Research.
    71. Vazquez-Alvarez, R. & Melenberg, B. & van Soest, A.H.O., 2001. "Nonparametric Bounds in the Presence of Item Nonresponse, Unfolding Brackets and Anchoring," Discussion Paper 2001-67, Tilburg University, Center for Economic Research.
    72. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition and stratification," CeMMAP working papers CWP11/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    73. Horowitz, Joel L. & Manski, Charles F., 2006. "Identification and estimation of statistical functionals using incomplete data," Journal of Econometrics, Elsevier, vol. 132(2), pages 445-459, June.
    74. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers CWP07/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    75. Konstantin Ash, 2022. "State weakness and support for ethnic violence in Southern Kyrgyzstan," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(6), pages 860-875, November.
    76. Arvid Raknerud, 2002. "Identification, Estimation and Testing in Panel Data Models with Attrition: The Role of the Missing at Random Assumption," Discussion Papers 330, Statistics Norway, Research Department.
    77. Serdarevic, Nina & Strømland, Eirik & Tjøtta, Sigve, 2018. "It Pays to be Nice: The Benefits of Cooperating in Markets," Working Papers in Economics 12/18, University of Bergen, Department of Economics.
    78. Canay, Ivan A., 2010. "EL inference for partially identified models: Large deviations optimality and bootstrap validity," Journal of Econometrics, Elsevier, vol. 156(2), pages 408-425, June.
    79. Christoph Feichter & Frank Moers & Oscar Timmermans, 2022. "Relative Performance Evaluation and Competitive Aggressiveness," Journal of Accounting Research, Wiley Blackwell, vol. 60(5), pages 1859-1913, December.
    80. Emre Ekinci, 2009. "Dealing with Attrition When Refreshment Samples are Available: An Application to the Turkish Household Labor Force Survey," 2009 Meeting Papers 353, Society for Economic Dynamics.
    81. Baser, Onur & Gardiner, Joseph C & Bradley, Cathy J & Given, Charles W, 2004. "Estimation from Censored Medical Cost Data," MPRA Paper 102198, University Library of Munich, Germany.
    82. Charles F. Manski, 2014. "Communicating Uncertainty in Official Economic Statistics," NBER Working Papers 20098, National Bureau of Economic Research, Inc.
    83. Charles F Manski & Michael Gmeiner & Anat Tamburc, 2021. "Misguided Use of Observed Covariates to Impute Missing Covariates in Conditional Prediction: A Shrinkage Problem," Papers 2102.11334, arXiv.org.
    84. Maria Ana Odejar & Kostas Mavromaras & Mandy Ryan, 2004. "Messy Data Modelling in Health Care Contingent Valuation Studies," Econometric Society 2004 North American Summer Meetings 406, Econometric Society.
    85. Esteban-Bravo, Mercedes & Vidal-Sanz, Jose M., 2007. "Worst-case estimation for econometric models with unobservable components," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3330-3354, April.

  60. Horowitz, J.L. & Manski, C.F., 1995. "What Can Be Learned About Population Parameters when the Data Are Contaminated," Working Papers 95-18, University of Iowa, Department of Economics.

    Cited by:

    1. Arie Beresteanu & Francesca Molinari, 2008. "Asymptotic Properties for a Class of Partially Identified Models," Econometrica, Econometric Society, vol. 76(4), pages 763-814, July.
    2. Huse, Cristian & Koptyug, Nikita, 2016. "Bailing on the car that wasn’t bailed out: bounding consumer reactions to financial distress," MPRA Paper 72796, University Library of Munich, Germany.
    3. Robert P. Sherman & Jeff Dominitz, 2006. "Identification and estimation of bounds on school performance measures: a nonparametric analysis of a mixture model with verification," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1295-1326.
    4. D. O’Neill & O. Sweetman & D. Van De Gaer, 2002. "Consequences of Specification Error for Distributional Analysis With an Application to Intergenerational Mobility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 02/156, Ghent University, Faculty of Economics and Business Administration.

  61. Manski, C.F., 1995. "Learning About Social Programs from Experiments with Random Assignment of Treatments," Working papers 9505, Wisconsin Madison - Social Systems.

    Cited by:

    1. Daniel Friedlander & Philip K. Robins, 1997. "The Distributional Impacts of Social Programs," Evaluation Review, , vol. 21(5), pages 531-553, October.
    2. Mark Schreiner, 2001. "Evaluation and Microenterprise Programs," Development and Comp Systems 0108002, University Library of Munich, Germany, revised 27 Dec 2001.
    3. Levitt, Steven D. & List, John A., 2009. "Field experiments in economics: The past, the present, and the future," European Economic Review, Elsevier, vol. 53(1), pages 1-18, January.
    4. Peter Glick, 2005. "Scaling Up HIV Voluntary Counseling and Testing in Africa," Evaluation Review, , vol. 29(4), pages 331-357, August.
    5. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    6. Cristian Aedo, "undated". "The Impact of Training Policies in Latin America and the Caribbean: The Case of "Programa Joven"," ILADES-UAH Working Papers inv131, Universidad Alberto Hurtado/School of Economics and Business.

  62. Manski, C.F. & Nagin, D.S., 1995. "Bounding Disagreements About Treatment Effects: A Case Study of Sentencing and Recidivism," Working papers 9526, Wisconsin Madison - Social Systems.

    Cited by:

    1. Hidehiko Ichimura & Christopher R. Taber, 2000. "Direct Estimation of Policy Impacts," NBER Technical Working Papers 0254, National Bureau of Economic Research, Inc.
    2. González, Libertad, 2004. "Nonparametric Bounds on the Returns to Language Skills," IZA Discussion Papers 1098, Institute of Labor Economics (IZA).
    3. Charles F. Manski, 2000. "Using Studies of Treatment Response to Inform Treatment Choice in Heterogeneous Populations," NBER Technical Working Papers 0263, National Bureau of Economic Research, Inc.
    4. E. Michael Foster & Leonard Bickman, 1996. "An Evaluator's Guide To Detecting Attrition Problems," Evaluation Review, , vol. 20(6), pages 695-723, December.
    5. Rosen, Adam M., 2008. "Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities," Journal of Econometrics, Elsevier, vol. 146(1), pages 107-117, September.
    6. Jere R. Behrman & Hans-Peter Kohler & Susan Cotts Watkins, 2001. "How can we measure the causal effects of social networks using observational data? Evidence from the diffusion of family planning and AIDS worries in South Nyanza District, Kenya," MPIDR Working Papers WP-2001-022, Max Planck Institute for Demographic Research, Rostock, Germany.
    7. John V. Pepper, 1999. "What Do Welfare-to-Work Demonstrations Reveal to Welfare Reformers?," Virginia Economics Online Papers 317, University of Virginia, Department of Economics.
    8. Charles F. Manski, 1999. "Statistical Treatment Rules for Heterogeneous Populations: With Application to Randomized Experiments," NBER Technical Working Papers 0242, National Bureau of Economic Research, Inc.
    9. Meier, Volker, 2001. "On prison and therapy," Munich Reprints in Economics 19189, University of Munich, Department of Economics.

  63. Jeff Dominitz & Charles F. Manski, 1994. "Eliciting Student Expectations of the Returns to Schooling," NBER Working Papers 4936, National Bureau of Economic Research, Inc.

    Cited by:

    1. Yifan Gong & Ralph Stinebrickner & Todd R. Stinebrickner, 2019. "Marriage, Children, and Labor Supply: Beliefs and Outcomes," NBER Working Papers 26334, National Bureau of Economic Research, Inc.
    2. Jane Greve & Morten Saaby & Anders Rosdahl & Vibeke Tornhøj Christensen, 2021. "Uncertain occupational expectations at age 19 and later educational and labour market outcomes," LABOUR, CEIS, vol. 35(2), pages 163-191, June.
    3. Elizabeth M. Caucutt & Lance Lochner & Youngmin Park, 2015. "Correlation, Consumption, Confusion, or Constraints: Why do Poor Children Perform so Poorly?," NBER Working Papers 21023, National Bureau of Economic Research, Inc.
    4. Ghazala Azmat & Katja Maria Kaufmann, 2021. "Formation of College Plans: Expected Returns, Preferences and Adjustment Process," Working Papers hal-03812823, HAL.
    5. Jürg Schweri & Stefan C. Wolter & Joop Hartog, 2008. "Do Students Expect Compensation for Wage Risk?," Economics of Education Working Paper Series 0011, University of Zurich, Department of Business Administration (IBW).
    6. Bratti, Massimiliano & Naylor, Robin & Smith, Jeremy, 2006. "Different returns to different degrees? Evidence from the British Cohort Study 1970," Economic Research Papers 269754, University of Warwick - Department of Economics.
    7. Gunes, Pinar Mine & Ural Marchand, Beyza, 2020. "Macroeconomic conditions and child schooling in Turkey," Labour Economics, Elsevier, vol. 63(C).
    8. Arcidiacono, Peter & Hotz, V. Joseph & Maurel, Arnaud & Romano, Teresa, 2014. "Recovering Ex Ante Returns and Preferences for Occupations using Subjective Expectations Data," IZA Discussion Papers 8549, Institute of Labor Economics (IZA).
    9. Maertens, Annemie, 2013. "Social Norms and Aspirations: Age of Marriage and Education in Rural India," World Development, Elsevier, vol. 47(C), pages 1-15.
    10. Boneva, Teodora & Buser, Thomas & Falk, Armin & Kosse, Fabian, 2021. "The Origins of Gender Differences in Competitiveness and Earnings Expectations: Causal Evidence from a Mentoring Intervention," Rationality and Competition Discussion Paper Series 295, CRC TRR 190 Rationality and Competition.
    11. Fossen, Frank M. & Glocker, Daniela, 2017. "Stated and revealed heterogeneous risk preferences in educational choice," European Economic Review, Elsevier, vol. 97(C), pages 1-25.
    12. Zachary Bleemer & Basit Zafar, 2015. "Intended college attendance: evidence from an experiment on college returns and costs," Staff Reports 739, Federal Reserve Bank of New York.
    13. Ralph Stinebrickner & Todd Stinebrickner, 2013. "Academic Performance and College Dropout: Using Longitudinal Expectations Data to Estimate a Learning Model," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20135, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    14. Ralph Stinebrickner & Todd R. Stinebrickner, 2013. "A Major in Science? Initial Beliefs and Final Outcomes for College Major and Dropout," NBER Working Papers 19165, National Bureau of Economic Research, Inc.
    15. Massimiliano Bratti, 2005. "Social Class and Undergraduate Degree Subject in the UK," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1015, Universitá degli Studi di Milano.
    16. Matthew Johnson & Michael P. Keane, 2013. "A Dynamic Equilibrium Model of the US Wage Structure, 1968-1996," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 1-49.
    17. Jensen, Robert & Lleras-Muney, Adriana, 2012. "Does staying in school (and not working) prevent teen smoking and drinking?," Journal of Health Economics, Elsevier, vol. 31(4), pages 644-657.
    18. Luis Fernando Gamboa & Paul Andrés Rodríguez-Lesmes, 2018. "Subjective Earnings and Academic Expectations of Tertiary Education in Colombia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 36(86), pages 159-177, June.
    19. Maria Eliophotou Menon & Sofia N. Andreou & Elias Markadjis, 2020. "The expectations of prospective students regarding the economic returns to higher education: Evidence from Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 14(1), pages 41-56, June.
    20. Boneva, Teodora & Kaufmann, Katja Maria & Rauh, Christopher, 2021. "Maternal Labor Supply: Perceived Returns, Constraints, and Social Norms," IZA Discussion Papers 14348, Institute of Labor Economics (IZA).
    21. Rainer Winkelmann, 2002. "Subjektive Daten in der empirischen Wirtschaftsforschung: Probleme und Perspektiven," SOI - Working Papers 0207, Socioeconomic Institute - University of Zurich, revised Jul 2002.
    22. Attanasio, Orazio P. & Kaufmann, Katja M., 2014. "Education choices and returns to schooling: Mothers' and youths' subjective expectations and their role by gender," Journal of Development Economics, Elsevier, vol. 109(C), pages 203-216.
    23. Vaishali Zambre, 2018. "The Gender Gap in Wage Expectations: Do Young Women Trade off Higher Wages for Lower Wage Risk?," Discussion Papers of DIW Berlin 1742, DIW Berlin, German Institute for Economic Research.
    24. Hugo Benítez-Silva & Debra Dwyer & Wayne-Roy Gayle & Thomas Muench, 2008. "Expectations in micro data: rationality revisited," Empirical Economics, Springer, vol. 34(2), pages 381-416, March.
    25. Stefan Klößner & Gregor Pfeifer, 2019. "The Importance of Tax Adjustments When Evaluating Wage Expectations," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(2), pages 578-605, April.
    26. Judith Scott-Clayton, 2012. "Information Constraints and Financial Aid Policy," NBER Working Papers 17811, National Bureau of Economic Research, Inc.
    27. Sean Nicholson, 2004. "How Much Do Medical Students Know About Physician Income?," NBER Working Papers 10542, National Bureau of Economic Research, Inc.
    28. Bas Jacobs & Joop Hartog & Wim Vijverberg, 2009. "Self-selection bias in estimated wage premiums for earnings risk," Empirical Economics, Springer, vol. 37(2), pages 271-286, October.
    29. Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008. "Rethinking the measurement of household inflation expectations: preliminary findings," Staff Reports 359, Federal Reserve Bank of New York.
    30. Chad Kendall & Tommaso Nannicini & Francesco Trebbi, 2013. "How Do Voters Respond to Information? Evidence from a Randomized Campaign," Working Papers 486, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    31. Kerwin, Jason & Pandey, Divya, 2023. "Navigating Ambiguity: Imprecise Probabilities and the Updating of Disease Risk Beliefs," IZA Discussion Papers 16478, Institute of Labor Economics (IZA).
    32. Liam Delaney & Colm Harmon & Cathy Redmond, 2010. "Parental Education, Grade Attainment & Earnings Expectations among University Students," Working Papers 201035, Geary Institute, University College Dublin.
    33. Petra E. Todd & Kenneth I. Wolpin, 2010. "Structural Estimation and Policy Evaluation in Developing Countries," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 21-50, September.
    34. Agarwal, Sandip Kumar, 2017. "Subjective beliefs and decision making under uncertainty in the field," ISU General Staff Papers 201701010800006248, Iowa State University, Department of Economics.
    35. Jeff Dominitz & Charles F. Manski, 1994. "Using Expectations Data to Study Subjective Income Expectations," NBER Working Papers 4937, National Bureau of Economic Research, Inc.
    36. Marco Alfano & Joseph-Simon Gorlach, 2019. "Terrorism, education and the role of expectations: evidence from al-Shabaab attacks in Kenya," Working Papers 1904, University of Strathclyde Business School, Department of Economics.
    37. Ben Jensen & Mark N. Harris, 2008. "Neighbourhood Measures: Quantifying the Effects of Neighbourhood Externalities," The Economic Record, The Economic Society of Australia, vol. 84(264), pages 68-81, March.
    38. Juerg Schweri, 2021. "Predicting polytomous career choices in healthcare using probabilistic expectations data," Health Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 544-563, March.
    39. Alfredo Alvarado & Belén Conde & Rafael Novella & Andrea Repetto, 2020. "NEETs in Latin America and the Caribbean: Skills, Aspirations, and Information," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(8), pages 1273-1307, November.
    40. Benitez-Silva, Hugo & Dwyer, Debra S., 2006. "Expectation formation of older married couples and the rational expectations hypothesis," Labour Economics, Elsevier, vol. 13(2), pages 191-218, April.
    41. Hartog, Joop & Vijverberg, Wim P.M., 2007. "On compensation for risk aversion and skewness affection in wages," Labour Economics, Elsevier, vol. 14(6), pages 938-956, December.
    42. Václav Urbánek & Kateřina Maršíková-Nepolská, 2005. "Financial Market in the Czech Republic and Human Capital Investment: Private Financing of Higher Education," Prague Economic Papers, Prague University of Economics and Business, vol. 2005(2), pages 131-146.
    43. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    44. Todd Stinebrickner & Ralph Stinebrickner, 2008. "Learning About Academic Ability and the College Drop-Out Decision," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20086, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    45. Thomas Dohmen & Armin Falk, 2010. "You Get What You Pay For: Incentives and Selection in the Education System," Economic Journal, Royal Economic Society, vol. 120(546), pages 256-271, August.
    46. César Alonso-Borrego & Antonio Romero-Medina, 2008. "Students’ Assessment of Higher Education in Spain," Working Papers 2008-31, FEDEA.
    47. Orazio Attanasio & Britta Augsburg, 2016. "Subjective Expectations and Income Processes in Rural India," Economica, London School of Economics and Political Science, vol. 83(331), pages 416-442, July.
    48. Holzner, Christian & Launov, Andrey, 2010. "Search equilibrium and social and private returns to education," Munich Reprints in Economics 19436, University of Munich, Department of Economics.
    49. Claire Bonnard & Jean-François Giret & Marielle Lambert-Le Mener, 2014. "Educational intentions, cognitive skills and earnings expectations of French undergraduates," Post-Print halshs-01090725, HAL.
    50. Wei-Bin Zhang, 2020. "Global Development, Trade, Human Capital, And Business Cycles," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 5(special), pages 9-29, June.
    51. Bratti, Massimiliano & Naylor, Robin & Smith, Jeremy, 2005. "Variations in the Wage Returns to a First Degree: Evidence from the British Cohort Study 1970," IZA Discussion Papers 1631, Institute of Labor Economics (IZA).
    52. D. Lee Heavner & Lance Lochner, 2002. "Social Networks and the Aggregation on Individual Decisions," NBER Working Papers 8979, National Bureau of Economic Research, Inc.
    53. Lekfuangfu, Warn N., 2022. "Mortality risk, perception, and human capital investments: The legacy of landmines in Cambodia," Labour Economics, Elsevier, vol. 78(C).
    54. Nik Stoop & Marijke Verpoorten & Peter Van Der Windt, 2019. "Artisanal or Industrial Conflict Minerals? Evidence from Eastern Congo," HiCN Working Papers 309, Households in Conflict Network.
    55. J. Dominitz & C. F. Manski, "undated". "Perceptions of Economic Insecurity: Evidence from the Survey of Economic Expectations," Institute for Research on Poverty Discussion Papers 1105-96, University of Wisconsin Institute for Research on Poverty.
    56. John Jerrim, 2015. "Do college students make better predictions of their future income than young adults in the labor force?," Education Economics, Taylor & Francis Journals, vol. 23(2), pages 162-179, April.
    57. Jeff Dominitz & Charles F. Manski & Jordan Heinz, 2002. "Social Security Expectations and Retirement Savings Decisions," JCPR Working Papers 273, Northwestern University/University of Chicago Joint Center for Poverty Research.
    58. Todd R. Stinebrickner & Ralph Stinebrickner, 2007. "The Effect of Credit Constraints on the College Drop-Out Decision A Direct Approach Using a New Panel Study," NBER Working Papers 13340, National Bureau of Economic Research, Inc.
    59. Matthew Wiswall & Basit Zafar, 2011. "Belief updating among college students: evidence from experimental variation in information," Staff Reports 516, Federal Reserve Bank of New York.
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    7. Ralph Stinebrickner & Todd R. Stinebrickner, 2013. "A Major in Science? Initial Beliefs and Final Outcomes for College Major and Dropout," NBER Working Papers 19165, National Bureau of Economic Research, Inc.
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    30. Nicolas Jacquemet & Jean-Louis Rullière & Isabelle Vialle, 2008. "Monitoring optimistic agents," PSE-Ecole d'économie de Paris (Postprint) halshs-00272928, HAL.
    31. Franco Peracchi & Valeria Perotti, 2010. "Subjective survival probabilities and life tables: Evidence from Europe," EIEF Working Papers Series 1016, Einaudi Institute for Economics and Finance (EIEF), revised Nov 2011.
    32. Neri, Claudia, 2012. "Eliciting Beliefs in Continuous-Choice Games: A Double Auction Experiment," Economics Working Paper Series 1207, University of St. Gallen, School of Economics and Political Science, revised Dec 2012.
    33. Sarah Brown & Karl Taylor & Robert McNabb, 2006. "Financial Expectations, Consumption and Saving: A Microeconomic Analysis," Working Papers 2006006, The University of Sheffield, Department of Economics, revised May 2006.
    34. Steven Haider & Mel StephensJr., 2006. "How Accurate are Expected Retirement Savings?," Working Papers wp128, University of Michigan, Michigan Retirement Research Center.
    35. J. Dominitz & C. F. Manski, "undated". "Perceptions of Economic Insecurity: Evidence from the Survey of Economic Expectations," Institute for Research on Poverty Discussion Papers 1105-96, University of Wisconsin Institute for Research on Poverty.
    36. Flávio Cunha & Irma Elo & Jennifer Culhane, 2013. "Eliciting Maternal Expectations about the Technology of Cognitive Skill Formation," NBER Working Papers 19144, National Bureau of Economic Research, Inc.
    37. Jeff Dominitz & Charles F. Manski & Jordan Heinz, 2002. "Social Security Expectations and Retirement Savings Decisions," JCPR Working Papers 273, Northwestern University/University of Chicago Joint Center for Poverty Research.
    38. Todd R. Stinebrickner & Ralph Stinebrickner, 2007. "The Effect of Credit Constraints on the College Drop-Out Decision A Direct Approach Using a New Panel Study," NBER Working Papers 13340, National Bureau of Economic Research, Inc.
    39. McKenzie, David & Gibson, John & Stillman, Steven, 2007. "A Land of Milk and Honey with Streets Paved with Gold: Do Emigrants Have Over-Optimistic Expectations about Incomes Abroad?," IZA Discussion Papers 2788, Institute of Labor Economics (IZA).
    40. Philip Oreopoulos & Daniel Lang & Joshua Angrist, 2009. "Incentives and Services for College Achievement: Evidence from a Randomized Trial," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 136-163, January.
    41. Guiso, L. & Jappelli, T., 1996. "Background UNcertainty and the Demand for Insurance Against Insurable Risks," Papers 284, Banca Italia - Servizio di Studi.
    42. Charles F. Manski & John D. Straub, 2000. "Worker Perceptions of Job Insecurity in the Mid-1990s: Evidence from the Survey of Economic Expectations," Journal of Human Resources, University of Wisconsin Press, vol. 35(3), pages 447-479.
    43. Debebe, Z.Y. & O'Donnell, O.A. & Mebratie, A.D. & Alemu, G. & Bedi, A.S., 2015. "Subjective expectations of medical expenditures and insurance in rural Ethiopia," ISS Working Papers - General Series 611, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    44. Philip Oreopoulos, 2003. "Do Dropouts Drop Out Too Soon? Evidence from Changes in School-Leaving Laws," Working Papers oreo-03-01, University of Toronto, Department of Economics.
    45. Hugo Benítez-Silva & Debra S. Dwyer, 2003. "What to Expect when you are Expecting Rationality: Testing Rational Expectations using Micro Data," Working Papers wp037, University of Michigan, Michigan Retirement Research Center.
    46. Croushore, Dean, 1996. "Ricardian Equivalence with Wage-Rate Uncertainty," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(3), pages 279-293, August.
    47. Stefanescu, Razvan & Dumitriu, Ramona & Nistor, Costel, 2011. "Motivations for the Bessarabian youth to study in Romanian universities," MPRA Paper 41621, University Library of Munich, Germany, revised 02 Oct 2011.
    48. Carman, Katherine Grace & Kooreman, Peter, 2011. "Flu Shots, Mammograms, and the Perception of Probabilities," IZA Discussion Papers 5739, Institute of Labor Economics (IZA).
    49. Pudney, Stephen, 2011. "Perception and retrospection: The dynamic consistency of responses to survey questions on wellbeing," Journal of Public Economics, Elsevier, vol. 95(3-4), pages 300-310, April.
    50. Kelly, David L. & Letson, David & Nelson, Forrest & Nolan, David S. & Solís, Daniel, 2012. "Evolution of subjective hurricane risk perceptions: A Bayesian approach," Journal of Economic Behavior & Organization, Elsevier, vol. 81(2), pages 644-663.
    51. Donkers, A.C.D. & van Soest, A.H.O., 1997. "Subjective measures of household preferences and financial decisions," Discussion Paper 1997-70, Tilburg University, Center for Economic Research.
    52. Todd R. Stinebrickner & Ralph Stinebrickner, 2011. "Math or Science? Using Longitudinal Expectations Data to Examine the Process of Choosing a College Major," NBER Working Papers 16869, National Bureau of Economic Research, Inc.
    53. Joshua Angrist & Daniel Lang & Philip Oreopoulos, 2006. "Lead Them to Water and Pay Them to Drink: An Experiment with Services and Incentives for College Achievement," NBER Working Papers 12790, National Bureau of Economic Research, Inc.
    54. Anchor, John R. & Fiserová, Jana & Mars[iota]ková, Katerina & Urbánek, Václav, 2011. "Student expectations of the financial returns to higher education in the Czech Republic and England: Evidence from business schools," Economics of Education Review, Elsevier, vol. 30(4), pages 673-681, August.
    55. Michael F. Bryan & Brent Meyer & Nicholas B. Parker, 2014. "The inflation expectations of firms: what do they look like, are they accurate, and do they matter?," FRB Atlanta Working Paper 2014-27, Federal Reserve Bank of Atlanta.
    56. Peter Arcidiacono & V. Joseph Hotz & Songman Kang, 2010. "Modeling College Major Choices using Elicited Measures of Expectations and Counterfactuals," NBER Working Papers 15729, National Bureau of Economic Research, Inc.
    57. Frank Sloan & Alyssa Platt, 2011. "Information, risk perceptions, and smoking choices of youth," Journal of Risk and Uncertainty, Springer, vol. 42(2), pages 161-193, April.
    58. Jappelli, Tullio & Pistaferri, Luigi, 2000. "Using subjective income expectations to test for excess sensitivity of consumption to predicted income growth," European Economic Review, Elsevier, vol. 44(2), pages 337-358, February.
    59. Jeremy Clark & Lana Friesen, 2006. "Overconfidence in Forecasts of Own Performance: An Experimental Study," Working Papers in Economics 06/09, University of Canterbury, Department of Economics and Finance.
    60. Philip Oreopoulos, 2003. "Do Dropouts Drop Out Too Soon? International Evidence From Changes in School-Leaving Laws," NBER Working Papers 10155, National Bureau of Economic Research, Inc.
    61. ,, 2005. "Pill, Patch or Shot? Subjective Expectations and Birth Control Choice," CEPR Discussion Papers 4856, C.E.P.R. Discussion Papers.
    62. Tullio Jappelli & Luigi Pistaferri, 2000. "The dynamics of household wealth accumulation in Italy," Fiscal Studies, Institute for Fiscal Studies, vol. 21(2), pages 269-295, June.
    63. Mazza, Jacopo & Hartog, Joop, 2011. "Do They Understand the Benefits from Education? Evidence on Dutch High School Students’ Earnings Expectations," IZA Discussion Papers 5714, Institute of Labor Economics (IZA).
    64. Adeline Delavande, 2008. "Measuring revisions to subjective expectations," Journal of Risk and Uncertainty, Springer, vol. 36(1), pages 43-82, February.
    65. Daniel McFadden & Albert Bemmaor & Francis Caro & Jeff Dominitz & Byung-Hill Jun & Arthur Lewbel & Rosa Matzkin & Francesca Molinari & Norbert Schwarz & Robert Willis & Joachim Winter, 2005. "Statistical Analysis of Choice Experiments and Surveys," Marketing Letters, Springer, vol. 16(3), pages 183-196, December.
    66. Pesaran, M. Hashem & Weale, Martin, 2006. "Survey Expectations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 14, pages 715-776, Elsevier.
    67. Dominitz, Jeff, 2001. "Estimation of income expectations models using expectations and realization data," Journal of Econometrics, Elsevier, vol. 102(2), pages 165-195, June.
    68. Giuseppe Fiori & Filippo Scoccianti, 2021. "The Economic Effects of Firm-Level Uncertainty: Evidence Using Subjective Expectations," International Finance Discussion Papers 1320, Board of Governors of the Federal Reserve System (U.S.).
    69. Jeff Dominitz & Charles F. Manski, 2011. "Measuring and interpreting expectations of equity returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 352-370, April.
    70. Charles Bellemare & Luc Bissonnette & Sabine Kroger, 2007. "Flexible Approximation of Subjective Expectations using Probability Questions -An Application to the Investment Game-," Cahiers de recherche 0734, CIRPEE.
    71. Manski, Charles F., 2002. "Identification of decision rules in experiments on simple games of proposal and response," European Economic Review, Elsevier, vol. 46(4-5), pages 880-891, May.
    72. Adeline Delavande & Xavier Giné & David McKenzie, 2011. "Eliciting probabilistic expectations with visual aids in developing countries: how sensitive are answers to variations in elicitation design?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 479-497, April.
    73. Wolter, Stefan C. & Zbinden, André, 2001. "Rates of Return to Education: The View of Students in Switzerland," IZA Discussion Papers 371, Institute of Labor Economics (IZA).
    74. Philip Oreopoulos, 2006. "Estimating Average and Local Average Treatment Effects of Education when Compulsory Schooling Laws Really Matter," American Economic Review, American Economic Association, vol. 96(1), pages 152-175, March.
    75. Pettersson-Lidbom, Per & Dahlberg, Matz, 2003. "An Empirical Approach for Evaluating Soft Budget Constraints," Working Paper Series 2003:28, Uppsala University, Department of Economics.
    76. Maria G. Perozek, 2005. "Using subjective expectations to forecast longevity: do survey respondents know something we don't know?," Finance and Economics Discussion Series 2005-68, Board of Governors of the Federal Reserve System (U.S.).
    77. Kristin J. Kleinjans & Jinkook Lee, 2006. "The link between individual expectations and savings: Do nursing home expectations matter?," Economics Working Papers 2006-05, Department of Economics and Business Economics, Aarhus University.
    78. Sean Nicholson & Nicholas S. Souleles, 2002. "Physician Income Prediction Errors: Sources and Implications for Behavior," NBER Working Papers 8907, National Bureau of Economic Research, Inc.
    79. Ramos, Xavier & Schluter, Christian, 2006. "Subjective Income Expectations and Income Risk," IZA Discussion Papers 1950, Institute of Labor Economics (IZA).
    80. Yu, Ge, 2003. "Comparing Expectations and Outcomes: Application to UK Data," MPRA Paper 502, University Library of Munich, Germany, revised 2005.
    81. J. Dominitz & C. F. Manski, "undated". "Perceptions of economic vulnerability: First evidence from the survey of economic expectations," Institute for Research on Poverty Discussion Papers 1069-95, University of Wisconsin Institute for Research on Poverty.
    82. Jeff Dominitz & Charles F. Manski & Jordan Heinz, 2003. ""Will Social Security Be There For You?": How Americans Perceive Their Benefits," NBER Working Papers 9798, National Bureau of Economic Research, Inc.
    83. Stefano Iezzi, 2008. "Investors' risk attitude and risky behavior: a Bayesian approach with imperfect information," Temi di discussione (Economic working papers) 692, Bank of Italy, Economic Research and International Relations Area.
    84. Michael D. Hurd & Kathleen McGarry, 2002. "The Predictive Validity of Subjective Probabilities of Survival," Economic Journal, Royal Economic Society, vol. 112(482), pages 966-985, October.
    85. Trudy Ann Cameron, 2001. "Updating Subjective Risks in the Presence of Conflicting Information: An Application to Climate Change," University of Oregon Economics Department Working Papers 2003-8, University of Oregon Economics Department, revised 14 Jul 2001.
    86. Richard Disney & Tanner, Tanner, 1999. "What can we learn from retirement expectations data?," IFS Working Papers W99/17, Institute for Fiscal Studies.
    87. Nyhus, Ellen K. & Pons, Empar, 2005. "The effects of personality on earnings," Journal of Economic Psychology, Elsevier, vol. 26(3), pages 363-384, June.
    88. Sarah Brown & Karl Taylor, 2008. "Expectations, Reservation Wages And Employment: Evidence From British Panel Data," Working Papers 2008007, The University of Sheffield, Department of Economics, revised May 2008.
    89. Driver, Ciaran & Whelan, Brendan, 2001. "The effect of business risk on manufacturing investment: Sectoral survey evidence from Ireland," Journal of Economic Behavior & Organization, Elsevier, vol. 44(4), pages 403-412, April.

  65. Charles F. Manski, 1993. "The Mixing Problem in Program Evaluation," NBER Technical Working Papers 0148, National Bureau of Economic Research, Inc.

    Cited by:

    1. Mattoo, Aaditya & Cadot, Olivier & Gourdon, Julien & Fernandes, Ana Margarida, 2011. "Impact Evaluation of Trade Interventions: Paving the Way," CEPR Discussion Papers 8428, C.E.P.R. Discussion Papers.
    2. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April.
    3. Guido W. Imbens & Whitney K. Newey, 2009. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.
    4. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    5. Caliendo, Marco & Steiner, Viktor, 2005. "Aktive Arbeitsmarktpolitik in Deutschland : Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse (Active labour market policy in Germany * review ans assessment of the microecono," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 38(2/3), pages 396-418.
    6. Kobus, Martyna & Kurek, Radosław, 2018. "Copula-based measurement of interdependence for discrete distributions," Journal of Mathematical Economics, Elsevier, vol. 79(C), pages 27-39.
    7. Charles F. Manski, 2001. "Designing Programs for Heterogeneous Populations: The Value of Covariate Information," American Economic Review, American Economic Association, vol. 91(2), pages 103-106, May.
    8. Vishal Kamat, 2018. "On the Identifying Content of Instrument Monotonicity," Papers 1807.01661, arXiv.org, revised Oct 2019.
    9. Fan, Yanqin & Park, Sang Soo, 2009. "Partial identification of the distribution of treatment effects and its confidence sets," MPRA Paper 37148, University Library of Munich, Germany.
    10. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    11. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    12. Firpo, Sergio, 2010. "Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures," IZA Discussion Papers 4841, Institute of Labor Economics (IZA).
    13. Charles F. Manski & John Newman & John V. Pepper, 2002. "Using Performance Standards to Evaluate Social Programs with Incomplete Outcome Data," Evaluation Review, , vol. 26(4), pages 355-381, August.
    14. Caliendo, Marco & Hujer, Reinhard & Thomsen, Stephan L., 2005. "Identifying effect heterogeneity to improve the efficiency of job creation schemes in Germany," IAB-Discussion Paper 200508, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    15. Tomas J. Philipson, 2000. "External Treatment Effects and Program Implementation Bias," NBER Technical Working Papers 0250, National Bureau of Economic Research, Inc.
    16. V. Joseph Hotz & Guido W. Imbens & Julie H. Mortimer, 1999. "Predicting the Efficacy of Future Training Programs Using Past Experiences," NBER Technical Working Papers 0238, National Bureau of Economic Research, Inc.
    17. C. F. Manski, "undated". "Learning about social programs from experiments with random assignment of treatments," Institute for Research on Poverty Discussion Papers 1061-95, University of Wisconsin Institute for Research on Poverty.
    18. Sergio Firpo, 2007. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 75(1), pages 259-276, January.
    19. Eric Auerbach & Yong Cai, 2022. "Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices," Papers 2205.01246, arXiv.org, revised Oct 2022.
    20. Eric Auerbach & Yong Cai, 2023. "Identifying Socially Disruptive Policies," Papers 2306.15000, arXiv.org, revised Jun 2023.
    21. Caliendo, Marco & Steiner, Viktor, 2005. "Aktive Arbeitsmarktpolitik in Deutschland : Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse (Active labour market policy in Germany * review ans assessment of the microecono," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 38(2/3), pages 396-418.
    22. Craig Gundersen & Brent Kreider & John Pepper & Valerie Tarasuk, 2017. "Food assistance programs and food insecurity: implications for Canada in light of the mixing problem," Empirical Economics, Springer, vol. 52(3), pages 1065-1087, May.
    23. Nathan Kallus, 2022. "What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment," Papers 2205.10327, arXiv.org, revised Nov 2022.
    24. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    25. John V. Pepper, 1999. "What Do Welfare-to-Work Demonstrations Reveal to Welfare Reformers?," Virginia Economics Online Papers 317, University of Virginia, Department of Economics.
    26. Marco Caliendo & Viktor Steiner, 2005. "Aktive Arbeitsmarktpolitik in Deutschland: Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse," Discussion Papers of DIW Berlin 515, DIW Berlin, German Institute for Economic Research.
    27. Charles F. Manski, 1999. "Statistical Treatment Rules for Heterogeneous Populations: With Application to Randomized Experiments," NBER Technical Working Papers 0242, National Bureau of Economic Research, Inc.

  66. Manski, C.F., 1993. "What Do Controlled Experiments Reveal About Outcomes When Treatments Vary?," Working papers 9313, Wisconsin Madison - Social Systems.

    Cited by:

    1. Littell, Julia H., 1997. "Effects of the duration, intensity, and breadth of family preservation services: A new analysis of data from the illinois family first experiment," Children and Youth Services Review, Elsevier, vol. 19(1-2), pages 17-39.

  67. Manski, Charles F., 1992. "Identification Problems In The Social Sciences," SSRI Workshop Series 292716, University of Wisconsin-Madison, Social Systems Research Institute.

    Cited by:

    1. Joshua D. Angrist & Kathryn Graddy & Guido W. Imbens, 1995. "Non-Parametric Demand Analysis with an Application to the Demand for Fish," NBER Technical Working Papers 0178, National Bureau of Economic Research, Inc.
    2. Jacob Vigdor & Jens Ludwig, 2007. "Segregation and the Black-White Test Score Gap," NBER Working Papers 12988, National Bureau of Economic Research, Inc.
    3. Rafael Lalive & Alejandra Cattaneo, 2006. "Social Interactions and Schooling Decisions," IEW - Working Papers 298, Institute for Empirical Research in Economics - University of Zurich.
    4. van Soest, Arthur & Hurd, Michael, 2008. "A Test for Anchoring and Yea-Saying in Experimental Consumption Data," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 126-136, March.
    5. Pizer, William & Imbens, Guido, 2000. "The Analysis of Randomized Experiments with Missing Data," RFF Working Paper Series dp-00-19, Resources for the Future.
    6. Brent Kreider & Steven C. Hill, 2009. "Partially Identifying Treatment Effects with an Application to Covering the Uninsured," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    7. Jeff Dominitz & Charles F. Manski, 1994. "Eliciting Student Expectations Of The Returns To Schooling," Econometrics 9411002, University Library of Munich, Germany.
    8. Susan Athey & Guido W. Imbens, 2002. "Identification and Inference in Nonlinear Difference-In-Differences Models," NBER Technical Working Papers 0280, National Bureau of Economic Research, Inc.
    9. Mike Shields & Mark Wooden, 2003. "Investigating the Role of Neighbourhood Characteristics in Determining Life Satisfaction," Melbourne Institute Working Paper Series wp2003n24, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    10. Andrew Clark & Fabrice Etilé, 2003. "Don't Give up on me Baby: Spousal Correlation in Smoking Behaviour," DELTA Working Papers 2003-25, DELTA (Ecole normale supérieure).
    11. Dupas, Pascaline, 2005. "Relative Risks and the Market for Sex: Teenagers, Sugar Daddies and HIV in Kenya," MPRA Paper 248, University Library of Munich, Germany, revised Aug 2006.
    12. Gunnar Andersson & Karsten Hank & Andres Vikat, 2006. "Understanding parental gender preferences in advanced societies: lessons from Sweden and Finland," MPIDR Working Papers WP-2006-019, Max Planck Institute for Demographic Research, Rostock, Germany.
    13. B.R. Chiswick & P.W. Miller, 1993. "The Endogeneity Between Language and Earnings: An international analysis," Economics Discussion / Working Papers 93-03, The University of Western Australia, Department of Economics.
    14. Timothy G. Conley & Christopher R. Udry, 2000. "Learning About a New Technology: Pineapple in Ghana," Working Papers 817, Economic Growth Center, Yale University, revised May 2004.
    15. Horowitz, Joel L. & Manski, Charles F., 1998. "Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations," Journal of Econometrics, Elsevier, vol. 84(1), pages 37-58, May.
    16. Guido W. Imbens & Whitney K. Newey, 2009. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.
    17. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.
    18. Entorf, Horst & Lauk, Martina, 2007. "Peer effects, social multipliers and migrants at school: An international comparison," University of Göttingen Working Papers in Economics 57, University of Goettingen, Department of Economics, revised 2007.
    19. Charles F. Manski, 1996. "Identification of Anonymous Endogenous Interactions," Working Papers 96-04-019, Santa Fe Institute.
    20. Wiji Arulampalam & Sonia Bhalotra, 2004. "Inequality in Infant Survival Rates in India: Identification of State-Dependence Effects," Bristol Economics Discussion Papers 04/558, School of Economics, University of Bristol, UK.
    21. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    22. Giulio Zanella, 2004. "Discrete Choice with Social Interactions and Endogenous Memberships," Department of Economics University of Siena 442, Department of Economics, University of Siena.
    23. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    24. González, Libertad, 2004. "Nonparametric Bounds on the Returns to Language Skills," IZA Discussion Papers 1098, Institute of Labor Economics (IZA).
    25. Haile,P.A. & Tamer,E.T., 2000. "Inference with an incomplete model of English auctions," Working papers 18, Wisconsin Madison - Social Systems.
    26. Raaum,O. & Salvanes,K.G. & Sorensen,E.O., 2001. "The neighbourhood is not what it used to be : has there been equalisation of opportunity across families and communities in Norway," Memorandum 36/2001, Oslo University, Department of Economics.
    27. Markus Gangl & Thomas A. DiPrete, 2004. "Kausalanalyse durch Matchingverfahren," Discussion Papers of DIW Berlin 401, DIW Berlin, German Institute for Economic Research.
    28. Charles F. Manski & John Newman & John V. Pepper, "undated". "Using Performance Standards to Evaluate Social Programs with Incomplete Outcome Data: General Issues and Application to a Higher Education Block Grant Program," IPR working papers 00-1, Institute for Policy Resarch at Northwestern University.
    29. Mauricio Drelichman, 2004. "The Curse of Moctezuma: American Silver and the Dutch Disease, 1501-1650," Economic History 0404001, University Library of Munich, Germany.
    30. Hedström, Peter & Kolm, Ann-Sofie & Åberg, Yvonne, 2003. "Social Interactions and Unemployment," Working Paper Series 2003:18, Uppsala University, Department of Economics.
    31. Schmidt, Christoph M., 2000. "Arbeitsmarktpolitische Maßnahmen und ihre Evaluierung: eine Bestandsaufnahme," IZA Discussion Papers 207, Institute of Labor Economics (IZA).
    32. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November.
    33. Nicole Schneeweis & Rudolf Winter-Ebmer, 2008. "Peer effects in Austrian schools," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 133-155, Springer.
    34. Peter Abell & Teppo Felin & Nicolai Foss, 2008. "Building micro-foundations for the routines, capabilities, and performance links," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(6), pages 489-502.
    35. Kremer, M., 1996. "How Much Does Sorting Increase Inequality?," Working papers 96-18, Massachusetts Institute of Technology (MIT), Department of Economics.
    36. Charles F. Manski, 2000. "Using Studies of Treatment Response to Inform Treatment Choice in Heterogeneous Populations," NBER Technical Working Papers 0263, National Bureau of Economic Research, Inc.
    37. Marcello Estevao & Saul Lach, 1999. "Measuring Temporary Labor Outsourcing in U.S. Manufacturing," NBER Working Papers 7421, National Bureau of Economic Research, Inc.
    38. Eklöf, M. & Weeks, M., 2004. "‘Estimation of Discrete Choice Models Using DCM for Ox’," Cambridge Working Papers in Economics 0427, Faculty of Economics, University of Cambridge.
    39. Marco Francesconi & Stephen P. Jenkins & Thomas Siedler, 2006. "Childhood Family Structure and Schooling Outcomes: Evidence for Germany," Discussion Papers of DIW Berlin 610, DIW Berlin, German Institute for Economic Research.
    40. Geoffrey Rapp, 2000. "Agency and Choice in Education: Does school choice enhance the work effort of teachers?," Education Economics, Taylor & Francis Journals, vol. 8(1), pages 37-63.
    41. Brent Kreider & John Pepper, 2008. "Inferring disability status from corrupt data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 329-349.
    42. Donna K. Ginther & Robert A. Pollak, 2000. "Does family structure affect children's educational outcomes?," FRB Atlanta Working Paper 2000-13, Federal Reserve Bank of Atlanta.
    43. Cohen-Goldner, Sarit & Eckstein, Zvi, 2010. "Estimating the return to training and occupational experience: The case of female immigrants," Journal of Econometrics, Elsevier, vol. 156(1), pages 86-105, May.
    44. Shamena Anwar & Hanming Fang, 2006. "An Alternative Test of Racial Prejudice in Motor Vehicle Searches: Theory and Evidence," American Economic Review, American Economic Association, vol. 96(1), pages 127-151, March.
    45. William A. Brock & Steven N. Durlauf, 1995. "Discrete Choice with Social Interactions I: Theory," NBER Working Papers 5291, National Bureau of Economic Research, Inc.
    46. Lucifora C. & Meurs D., 2004. "The Public Sector Pay Gap in France, Great Britain and Italy," Working Papers ERMES 0403, ERMES, University Paris 2.
    47. C. Lanier Benkard & Patrick Bajari, 2004. "Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," NBER Working Papers 10278, National Bureau of Economic Research, Inc.
    48. Keith A. Bender & Robert Elliott, 1999. "Relative Earnings in the UK Public Sector: The Impact of Pay Reform on Pay Structure," Palgrave Macmillan Books, in: Robert Elliott & Claudio Lucifora & Dominique Meurs (ed.), Public Sector Pay Determination in the European Union, chapter 8, pages 285-339, Palgrave Macmillan.
    49. Ruben Hernandez-Murillo & John Knowles, 2004. "Racial profiling or racist policing? bounds tests in aggregate data," Working Papers 2004-012, Federal Reserve Bank of St. Louis.
    50. van Ham, Maarten & Büchel, Felix, 2004. "Unwilling or Unable? Spatial, Institutional and Socio-Economic Restrictions on Females' Labor Market Access," IZA Discussion Papers 1034, Institute of Labor Economics (IZA).
    51. Lehmann, Hartmut & Pignatti, Norberto, 2007. "Informal Employment Relationships and Labor Market Segmentation in Transition Economies: Evidence from Ukraine," IZA Discussion Papers 3269, Institute of Labor Economics (IZA).
    52. Pham, Hung T & Reilly, Barry, 2007. "The Gender Pay Gap In Vietnam, 1993-2002: A Quantile Regression Approach," MPRA Paper 6475, University Library of Munich, Germany.
    53. Jordi Brandts & Enrique Fatás, 2004. "Endogenous social influence in an experimental dilemma game," Economic Working Papers at Centro de Estudios Andaluces 2004/59, Centro de Estudios Andaluces.
    54. Alexandra L. Minicozzi, 2003. "Estimation of sons' intergenerational earnings mobility in the presence of censoring," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 291-314.
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    116. Raoul van Maarseveen, 2020. "The urban rural-education gap: do cities indeed make us smarter?," CPB Discussion Paper 412, CPB Netherlands Bureau for Economic Policy Analysis.
    117. Bissonnette, L. & van Soest, A.H.O., 2010. "Retirement Expectations, Preferences, and Decisions," Other publications TiSEM 45e93b08-cc1d-47c6-ba06-d, Tilburg University, School of Economics and Management.
    118. Meschi, Elena & Swaffield, Joanna K. & Vignoles, Anna, 2011. "The Relative Importance of Local Labour Market Conditions and Pupil Attainment on Post-Compulsory Schooling Decisions," IZA Discussion Papers 6143, Institute of Labor Economics (IZA).
    119. Giorgio Brunello & Claudio Lucifora & Rudolf Winter-Ebmer, 2004. "The Wage Expectations of European Business and Economics Students," Journal of Human Resources, University of Wisconsin Press, vol. 39(4).
    120. Brian A. Jacob & Tamara Wilder, 2010. "Educational Expectations and Attainment," NBER Working Papers 15683, National Bureau of Economic Research, Inc.
    121. Patrick M. Emerson & Shawn D. Knabb, 2013. "Bounded rationality, expectations, and child labour," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(3), pages 900-927, August.
    122. Daniel Klasik & Kristin Blagg & Zachary Pekor, 2018. "Out of the Education Desert: How Limited Local College Options are Associated with Inequity in Postsecondary Opportunities," Social Sciences, MDPI, vol. 7(9), pages 1-26, September.
    123. Christopher Avery & Sarah Turner, 2012. "Student Loans: Do College Students Borrow Too Much--Or Not Enough?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 165-192, Winter.
    124. Angela Boatman & Brent J. Evans, 2017. "How Financial Literacy, Federal Aid Knowledge, and Credit Market Experience Predict Loan Aversion for Education," The ANNALS of the American Academy of Political and Social Science, , vol. 671(1), pages 49-68, May.
    125. Sean Nicholson & Nicholas S. Souleles, 2001. "Physician Income Expectations and Specialty Choice," NBER Working Papers 8536, National Bureau of Economic Research, Inc.

  71. Manski, C.F., 1990. "The Selection Problem," Working papers 90-12, Wisconsin Madison - Social Systems.

    Cited by:

    1. van Soest, Arthur & Hurd, Michael, 2008. "A Test for Anchoring and Yea-Saying in Experimental Consumption Data," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 126-136, March.
    2. Paolo Buonanno & Paolo Vanin, 2013. "Bowling alone, drinking together," Empirical Economics, Springer, vol. 44(3), pages 1635-1672, June.
    3. James J. Heckman, 2020. "Randomization and Social Policy Evaluation Revisited," Working Papers 2020-001, Human Capital and Economic Opportunity Working Group.
    4. Stephen P. Jenkins & Shuaizhang Feng & Richard V. Burkhauser, 2007. "Using the P90/P10 Index to Measure US Inequality Trends with Current Population Survey Data: A View from Inside the Census Bureau Vaults," Working Papers 72, ECINEQ, Society for the Study of Economic Inequality.
    5. Mirko Draca & Stephen Machin, 2015. "Crime and Economic Incentives," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 389-408, August.
    6. Powdthavee, Nattavudh, 2003. "Is The Structure Of Happiness Equations The Same In Poor And Rich Countries? The Case Of South Africa," The Warwick Economics Research Paper Series (TWERPS) 675, University of Warwick, Department of Economics.
    7. Andrew Newell & Barry Reilly, 2000. "The Gender Pay Gap in the Transition from Communism: Some Empirical Evidence," William Davidson Institute Working Papers Series 305, William Davidson Institute at the University of Michigan.
    8. Angrist, J.D. & Imbens, G.W., 1992. "Average Causal Response with Variable Treatment Intensity," Papers 9234, Tilburg - Center for Economic Research.
    9. David S. Lee, 2002. "Trimming for Bounds on Treatment Effects with Missing Outcomes," NBER Technical Working Papers 0277, National Bureau of Economic Research, Inc.
    10. Timothy G. Conley & Christopher R. Udry, 2000. "Learning About a New Technology: Pineapple in Ghana," Working Papers 817, Economic Growth Center, Yale University, revised May 2004.
    11. Vazquez-Alvarez, R. & Melenberg, B. & van Soest, A.H.O., 1999. "Nonparametric Bounds on the Income Distribution in the Presence of Item Nonresponse," Discussion Paper 1999-33, Tilburg University, Center for Economic Research.
    12. Horowitz, Joel L. & Manski, Charles F., 1998. "Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations," Journal of Econometrics, Elsevier, vol. 84(1), pages 37-58, May.
    13. Geeta G. Kingdon & John B. Knight, 2001. "Unemployment in South Africa: The nature of the beast," CSAE Working Paper Series 2001-15, Centre for the Study of African Economies, University of Oxford.
    14. Entorf, Horst & Lauk, Martina, 2007. "Peer effects, social multipliers and migrants at school: An international comparison," University of Göttingen Working Papers in Economics 57, University of Goettingen, Department of Economics, revised 2007.
    15. Dominique Goux & Eric Maurin, 2006. "Close Neighbours Matter: Neighbourhood Effects on Early Performance at School," CEE Discussion Papers 0068, Centre for the Economics of Education, LSE.
    16. Giulio Zanella, 2004. "Discrete Choice with Social Interactions and Endogenous Memberships," Department of Economics University of Siena 442, Department of Economics, University of Siena.
    17. Claudia Olivetti & Barbara Petrongolo, 2005. "Unequal Pay or Unequal Employment? A Cross-Country Analysis of Gender Gaps," Boston University - Department of Economics - Macroeconomics Working Papers Series WP2005-003, Boston University - Department of Economics, revised Oct 2008.
    18. Manski, C.F., 1994. "Simulaneity with Downward Sloping Demand," Working papers 9408, Wisconsin Madison - Social Systems.
    19. Hussinger, Katrin, 2003. "R&D and Subsidies at the Firm Level: An Application of Parametric and Semi-Parametric Two-Step Selection Models," ZEW Discussion Papers 03-63, ZEW - Leibniz Centre for European Economic Research.
    20. Arthur Van Soest & Michael D. Hurd, 2004. "Models for Anchoring and Acquiescence Bias in Consumption Data," Working Papers WR-146, RAND Corporation.
    21. Charles F. Manski, 1993. "The Mixing Problem in Program Evaluation," NBER Technical Working Papers 0148, National Bureau of Economic Research, Inc.
    22. Jay Bhattacharya & Azeem Shaikh & Edward Vytlacil, 2005. "Treatment Effect Bounds: An Application to Swan-Ganz Catheterization," NBER Working Papers 11263, National Bureau of Economic Research, Inc.
    23. Markus Gangl & Thomas A. DiPrete, 2004. "Kausalanalyse durch Matchingverfahren," Discussion Papers of DIW Berlin 401, DIW Berlin, German Institute for Economic Research.
    24. Charles F. Manski & John Newman & John V. Pepper, "undated". "Using Performance Standards to Evaluate Social Programs with Incomplete Outcome Data: General Issues and Application to a Higher Education Block Grant Program," IPR working papers 00-1, Institute for Policy Resarch at Northwestern University.
    25. Mingliang Li & Dale J. Poirier & Justin L. Tobias, 2004. "Do dropouts suffer from dropping out? Estimation and prediction of outcome gains in generalized selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 203-225.
    26. Lechner, Michael & Vazquez-Alvarez, Rosalia, 2003. "The Effect of Disability on Labour Market Outcomes in Germany: Evidence from Matching," IZA Discussion Papers 967, Institute of Labor Economics (IZA).
    27. John C. Ham & Kevin T. Reilly, 2002. "Testing Intertemporal Substitution, Implicit Contracts, and Hours Restriction Models of the Labor Market Using Micro Data," American Economic Review, American Economic Association, vol. 92(4), pages 905-927, September.
    28. Krishnan, P. & Sciubba, E., 2004. "Links and Architecture in Village Networks (previously: Endogenous Network Formation and Informal Institutions in Village Economies)," Cambridge Working Papers in Economics 0462, Faculty of Economics, University of Cambridge.
    29. Charles F. Manski, 2000. "Using Studies of Treatment Response to Inform Treatment Choice in Heterogeneous Populations," NBER Technical Working Papers 0263, National Bureau of Economic Research, Inc.
    30. Andrea Ichino & Giovanni Maggi, 1999. "Work Environment and Individual Background: Explaining Regional Shirking Differentials in a Large Italian Firm," NBER Working Papers 7415, National Bureau of Economic Research, Inc.
    31. Arie Beresteanu & Francesca Molinari, 2008. "Asymptotic Properties for a Class of Partially Identified Models," Econometrica, Econometric Society, vol. 76(4), pages 763-814, July.
    32. J. Fitzgerald & P. Gottschalk & R. Moffitt, "undated". "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Institute for Research on Poverty Discussion Papers 1156-98, University of Wisconsin Institute for Research on Poverty.
    33. Markus Frölich, 2006. "Statistical Treatment Choice: An Application to Active Labour Market Programmes," University of St. Gallen Department of Economics working paper series 2006 2006-14, Department of Economics, University of St. Gallen.
    34. Filmer, Deon & Schady, Norbert, 2006. "Getting girls into school : evidence from a scholarship program in Cambodia," Policy Research Working Paper Series 3910, The World Bank.
    35. Clark, Andrew E. & Loheac, Youenn, 2007. ""It wasn't me, it was them!" Social influence in risky behavior by adolescents," Journal of Health Economics, Elsevier, vol. 26(4), pages 763-784, July.
    36. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    37. Karin Edmark & Matz Dahlberg, 2004. "Is There a "Race-to-the-Bottom" in the Setting of Welfare Benefit Levels? Evidence from a Policy Intervention," Econometric Society 2004 North American Summer Meetings 473, Econometric Society.
    38. Lucifora C. & Meurs D., 2004. "The Public Sector Pay Gap in France, Great Britain and Italy," Working Papers ERMES 0403, ERMES, University Paris 2.
    39. Rosen, Adam M., 2008. "Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities," Journal of Econometrics, Elsevier, vol. 146(1), pages 107-117, September.
    40. Lokshin, Michael & Mullan Harris, Kathleen & Popkin, Barry, 2000. "Single mothers in Russia - household strategies for coping with poverty," Policy Research Working Paper Series 2300, The World Bank.
    41. Aviv Nevo, 2001. "Using Weights to Adjust for Sample Selection When Auxiliary Information is Available," NBER Technical Working Papers 0275, National Bureau of Economic Research, Inc.
    42. James E. Prieger, "undated". "A Generalized Parametric Selection Model for Non-Normal Data," Department of Economics 00-09, California Davis - Department of Economics.
    43. Marco Francesconi, 2008. "Adult Outcomes for Children of Teenage Mothers," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(1), pages 93-117, March.
    44. Ben Vollaard & Pierre Koning, 2005. "Estimating police effectiveness with individual victimisation data," CPB Discussion Paper 47, CPB Netherlands Bureau for Economic Policy Analysis.
    45. Luigi Guiso & Fabiano Schivardi, 2000. "Information Spillovers and Factor Adjustment," Temi di discussione (Economic working papers) 368, Bank of Italy, Economic Research and International Relations Area.
    46. Lewbel, Arthur, 2007. "Endogenous selection or treatment model estimation," Journal of Econometrics, Elsevier, vol. 141(2), pages 777-806, December.
    47. James Albrecht & Aico van Vuuren & Susan Vroman, 2004. "Decomposing the Gender Wage Gap in the Netherlands with Sample Selection Adjustments," Tinbergen Institute Discussion Papers 04-123/3, Tinbergen Institute.
    48. Heineck, Guido & Schwarze, Johannes, 2004. "Fly Me to the Moon: The Determinants of Secondary Jobholding in Germany and the UK," IZA Discussion Papers 1358, Institute of Labor Economics (IZA).
    49. Richard Blundell & Amanda Gosling & Hidehiko Ichimura & Costas Meghir, 2004. "Changes in the distribution of male and female wages accounting for employment composition using bounds," IFS Working Papers W04/25, Institute for Fiscal Studies.
    50. Rajeev Dehejia, 1999. "Program Evaluation as a Decision Problem," NBER Working Papers 6954, National Bureau of Economic Research, Inc.
    51. C. F. Manski, "undated". "Learning about social programs from experiments with random assignment of treatments," Institute for Research on Poverty Discussion Papers 1061-95, University of Wisconsin Institute for Research on Poverty.
    52. Yannis M. Ioannides & Giulio Zanella, 2008. "Searching for the Best Neighborhood: Mobility and Social Interactions," Department of Economics University of Siena 533, Department of Economics, University of Siena.
    53. Lechner, Michael & Melly, Blaise, 2007. "Earnings Effects of Training Programs," CEPR Discussion Papers 6400, C.E.P.R. Discussion Papers.
    54. Joshua Angrist & Eric Bettinger & Michael Kremer, 2006. "Long-Term Educational Consequences of Secondary School Vouchers: Evidence from Administrative Records in Colombia," American Economic Review, American Economic Association, vol. 96(3), pages 847-862, June.
    55. Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables: With an Application to the Returns to Schooling," Virginia Economics Online Papers 308, University of Virginia, Department of Economics.
    56. Francine D. Blau, 1997. "Trends in the Well-Being of American Women, 1970-1995," NBER Working Papers 6206, National Bureau of Economic Research, Inc.
    57. Ethan Cohen-Cole & Giulio Zanella, 2008. "Welfare Stigma or Information Sharing? Decomposing Social Interactions Effects in Social Benefit Use," Department of Economics University of Siena 531, Department of Economics, University of Siena.
    58. Nicoletti, Cheti & Peracchi, Franco & Foliano, Francesca, 2007. "Estimating income poverty in the presence of measurement error and missing data problems," ISER Working Paper Series 2007-15, Institute for Social and Economic Research.
    59. James J. Heckman & Edward J. Vytlacil, 2000. "Instrumental Variables, Selection Models, and Tight Bounds on the Average Treatment Effect," NBER Technical Working Papers 0259, National Bureau of Economic Research, Inc.
    60. Francesconi, Marco & Ermisch, John & J. Pevalin, David, 2002. "Childhood parental behaviour and young people’s outcomes," ISER Working Paper Series 2002-12, Institute for Social and Economic Research.
    61. Victor Aguirregabiria, 2005. "Another Look at the Identification of Dynamic Discrete Decision Processes," Econometrics 0504006, University Library of Munich, Germany.

  72. Manski, C.F. & Sandefur, G.D. & Mclanahan, S. & Powers, D., 1990. "Alternative Estimates Of The Effect Of Family Stucture During Adolescence On Hight School Graduation," Working papers 90-31, Wisconsin Madison - Social Systems.

    Cited by:

    1. Getinet Astatike Haile & Anh Ngoc Nguyen, 2007. "Determinants of Academic Attainment in the US: a Quantile regression analysis of test scores," Working Papers 07, Development and Policies Research Center (DEPOCEN), Vietnam.
    2. Steve Bradley & Pam Lenton, 2007. "Dropping out of post-compulsory education in the UK: an analysis of determinants and outcomes," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(2), pages 299-328, April.
    3. G. D. Sandefur & T. Wells, "undated". "Using Siblings to Investigate the Effects of Family Structure on Educational Attainment," Institute for Research on Poverty Discussion Papers 1144-97, University of Wisconsin Institute for Research on Poverty.
    4. Lauer, Charlotte, 2000. "Enrolments in higher education in West Germany: the impact of social background, labour market returns and educational funding," ZEW Discussion Papers 00-59, ZEW - Leibniz Centre for European Economic Research.
    5. Sanz-de-Galdeano, Anna & Vuri, Daniela, 2004. "Does Parental Divorce Affect Adolescents' Cognitive Development? Evidence from Longitudinal Data," IZA Discussion Papers 1206, Institute of Labor Economics (IZA).
    6. Manski, C.F., 1994. "Simulaneity with Downward Sloping Demand," Working papers 9408, Wisconsin Madison - Social Systems.
    7. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    8. Corak, Miles, 2001. "Death and Divorce: The Long-Term Consequences of Parental Loss on Adolescents," Journal of Labor Economics, University of Chicago Press, vol. 19(3), pages 682-715, July.
    9. González, Libertad, 2004. "Nonparametric Bounds on the Returns to Language Skills," IZA Discussion Papers 1098, Institute of Labor Economics (IZA).
    10. Charles F. Manski, 1993. "The Mixing Problem in Program Evaluation," NBER Technical Working Papers 0148, National Bureau of Economic Research, Inc.
    11. Guido Imbens & Charles F. Manski, 2003. "Confidence intervals for partially identified parameters," CeMMAP working papers CWP09/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Anders Björklund & Donna Ginther & Marianne Sundström, 2007. "Family structure and child outcomes in the USA and Sweden," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(1), pages 183-201, February.
    13. L. Bethke & G. Sandefur, "undated". "Disruptive Events during the High School Years and Educational Attainment," Institute for Research on Poverty Discussion Papers 1168-98, University of Wisconsin Institute for Research on Poverty.
    14. Jaap Dronkers & Matthijs Kalmijn, 2013. "Single-parenthood among migrant children: Determinants and consequences for educational performance," RF Berlin - CReAM Discussion Paper Series 1309, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    15. Donna K. Ginther & Robert A. Pollak, 2000. "Does family structure affect children's educational outcomes?," FRB Atlanta Working Paper 2000-13, Federal Reserve Bank of Atlanta.
    16. Antecol, Heather & Cobb-Clark, Deborah A., 2001. "The Sexual Harassment of Female Active-Duty Personnel: Effects on Job Satisfaction and Intentions to Remain in the Military," IZA Discussion Papers 379, Institute of Labor Economics (IZA).
    17. Frankel, David M., 2007. "How Does Family Structure Affect Children's Outcomes? Evidence from the Civil War," Staff General Research Papers Archive 12819, Iowa State University, Department of Economics.
    18. Michael J. Shanahan & Adam Davey & Jennifer Brooks, 1998. "Dynamic Models of Poverty and Psychosocial Adjustment through Childhood," JCPR Working Papers 49, Northwestern University/University of Chicago Joint Center for Poverty Research.
    19. Kathryn Wilson, 2000. "Using the Psid to Study the Effects of School Spending," Public Finance Review, , vol. 28(5), pages 428-451, September.
    20. Antecol, Heather & Bedard, Kelly & Helland, Eric, 2001. "Does Single Parenthood Increase the Probability of Teenage Promiscuity, Drug Use, and Crime? Evidence from Divorce Law Changes," University of California at Santa Barbara, Economics Working Paper Series qt3fc7n20b, Department of Economics, UC Santa Barbara.
    21. Chiswick, Barry R. & DebBurman, Noyna, 2004. "Pre-School Enrollment: An Analysis by Immigrant Generation," IZA Discussion Papers 1226, Institute of Labor Economics (IZA).
    22. Marco Francesconi, 2008. "Adult Outcomes for Children of Teenage Mothers," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(1), pages 93-117, March.
    23. Öster, Anna, 2006. "Parental unemployment and children's school performance," Working Paper Series 2006:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    24. J. B. Engberg & T. Kim, "undated". "Person or Place? Parametric and semiparametric estimates of intrametropolitan earnings variation," Institute for Research on Poverty Discussion Papers 1089-96, University of Wisconsin Institute for Research on Poverty.
    25. Ali Tasiran & Kerem Tezic, 2006. "Parental Income and Continuing Education of Second Generation Immigrants in Sweden," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(4), pages 491-514.
    26. Keith Finlay & David Neumark, 2010. "Is Marriage Always Good for Children?: Evidence from Families Affected by Incarceration," Journal of Human Resources, University of Wisconsin Press, vol. 45(4), pages 1046-1088.
    27. Lydon, Reamonn & Walker, Ian, 2004. "Welfare-to-Work, Wages and Wage Growth," IZA Discussion Papers 1144, Institute of Labor Economics (IZA).
    28. Anna Sanz De Galdeano, 2004. "Does Parental Divorce Affect Adolescents' Cognitive Development? Evidence from Longitudinal Data," CSEF Working Papers 128, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    29. Howard Bodenhorn, 2006. "Single Parenthood and Childhood Outcomes in the Mid-Nineteenth Century Urban South," NBER Working Papers 12056, National Bureau of Economic Research, Inc.
    30. Shareen Joshi, 2004. "Female Household-Headship in Rural Bangladesh: Incidence, Determinants and Impact on Children's Schooling Shareen Joshi," Working Papers 894, Economic Growth Center, Yale University.
    31. Cáceres-Delpiano, Julio & Giolito, Eugenio, 2008. "How Unilateral Divorce Affects Children," IZA Discussion Papers 3342, Institute of Labor Economics (IZA).
    32. Charles F. Manski, 1999. "Statistical Treatment Rules for Heterogeneous Populations: With Application to Randomized Experiments," NBER Technical Working Papers 0242, National Bureau of Economic Research, Inc.
    33. Björklund, Anders & Ginther, Donna K. & Sundström, Marianne, 2004. "Family Structure and Child Outcomes in the United States and Sweden," IZA Discussion Papers 1259, Institute of Labor Economics (IZA).
    34. Francesconi, Marco & Ermisch, John & J. Pevalin, David, 2002. "Childhood parental behaviour and young people’s outcomes," ISER Working Paper Series 2002-12, Institute for Social and Economic Research.
    35. Tetsuji Yamada & Michael Kendix & Tadashi Yamada, 1993. "The Impact of Alcohol Consumption and Marijuana Use on High School Graduation," NBER Working Papers 4497, National Bureau of Economic Research, Inc.
    36. Rocio Sánchez-Mangas & Virginia Sánchez-Marcos, "undated". "Reconciling female labor participation and motherhood: the effect of benefits for working mothers," Studies on the Spanish Economy 195, FEDEA.
    37. William S. Comanor & Llad Phillips, 2002. "The Impact of Income and Family Structure on Delinquency," Journal of Applied Economics, Universidad del CEMA, vol. 5, pages 209-232, November.

  73. Manski, C.F., 1990. "Dynamic Choice In A Social Setting," Working papers 9003, Wisconsin Madison - Social Systems.

    Cited by:

    1. Bernheim, B.D. & Scholz, J.K., 1992. "Private Saving and Public Policy," Working papers 9226, Wisconsin Madison - Social Systems.
    2. Oxoby, Robert J., 2008. "Skill uncertainty and social inference," Labour Economics, Elsevier, vol. 15(3), pages 400-405, June.
    3. Ellison, Glenn & Fudenberg, Drew, 1993. "Rules of Thumb for Social Learning," Scholarly Articles 3196332, Harvard University Department of Economics.

  74. Manski, C.F., 1989. "Nonparametric Bounds On Treatment Effects," Working papers 8909, Wisconsin Madison - Social Systems.

    Cited by:

    1. Brantly Callaway, 2020. "Bounds on Distributional Treatment Effect Parameters using Panel Data with an Application on Job Displacement," Papers 2008.08117, arXiv.org.
    2. Victor Aguirregabiria, 2006. "Another Look at the Identification of Dynamic Discrete Decision Processes: With an Application to Retirement Behavior," 2006 Meeting Papers 169, Society for Economic Dynamics.
    3. Jiang Zhichao & Chiba Yasutaka & VanderWeele Tyler J., 2014. "Monotone Confounding, Monotone Treatment Selection and Monotone Treatment Response," Journal of Causal Inference, De Gruyter, vol. 2(1), pages 1-12, March.
    4. Astrid Grasdal, 2001. "The performance of sample selection estimators to control for attrition bias," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 385-398, July.
    5. C, Loran & Eckbo, Espen & Lu, Ching-Chih, 2014. "Does Executive Compensation Reflect Default Risk?," UiS Working Papers in Economics and Finance 2014/11, University of Stavanger.
    6. Turner, Alex J. & Fichera, Eleonora & Sutton, Matt, 2021. "The effects of in-utero exposure to influenza on mental health and mortality risk throughout the life-course," Economics & Human Biology, Elsevier, vol. 43(C).
    7. Tenglong Li & Kenneth A. Frank, 2020. "The probability of a robust inference for internal validity and its applications in regression models," Papers 2005.12784, arXiv.org.
    8. Brock,W.A. & Durlauf,S.N., 2004. "Identification of binary choice models with social interactions," Working papers 2, Wisconsin Madison - Social Systems.
    9. Kaitlin Anderson & Gema Zamarro & Jennifer Steele & Trey Miller, 2021. "Comparing Performance of Methods to Deal With Differential Attrition in Randomized Experimental Evaluations," Evaluation Review, , vol. 45(1-2), pages 70-104, February.
    10. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    11. John Mullahy, 2022. "Investigating health-related time use with partially observed data," Review of Economics of the Household, Springer, vol. 20(1), pages 103-121, March.
    12. Patrick Kline & Christopher R. Walters, 2017. "On Heckits, LATE, and Numerical Equivalence," Papers 1706.05982, arXiv.org, revised Oct 2018.
    13. Charles F. Manski, 2017. "Improving Clinical Guidelines and Decisions under Uncertainty," NBER Working Papers 23915, National Bureau of Economic Research, Inc.
    14. Matthew A Masten & Alexandre Poirier, 2023. "Choosing exogeneity assumptions in potential outcome models," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 327-349.
    15. Susan Athey & Guido W. Imbens, 2002. "Identification and Inference in Nonlinear Difference-In-Differences Models," NBER Technical Working Papers 0280, National Bureau of Economic Research, Inc.
    16. Judith Scott-Clayton & Basit Zafar, 2016. "Financial aid, debt management, and socioeconomic outcomes: post-college effects of merit-based aid," Staff Reports 791, Federal Reserve Bank of New York.
    17. Bjorvatn, Kjetil & Cappelen, Alexander W. & Sekei, Linda Helgesson & Sørensen, Erik Ø. & Tungodden, Bertil, 2015. "Teaching through television: Experimental evidence on entrepreneurship education in Tanzania," Discussion Paper Series in Economics 3/2015, Norwegian School of Economics, Department of Economics.
    18. Card, David & Rothstein, Jesse, 2007. "Racial segregation and the black-white test score gap," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2158-2184, December.
    19. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    20. Armstrong, Timothy B., 2014. "Weighted KS statistics for inference on conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 181(2), pages 92-116.
    21. David S. Lee, 2002. "Trimming for Bounds on Treatment Effects with Missing Outcomes," NBER Technical Working Papers 0277, National Bureau of Economic Research, Inc.
    22. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    23. Stefan Boes, 2007. "Nonparametric Analysis of Treatment Effects in Ordered Response Models," SOI - Working Papers 0709, Socioeconomic Institute - University of Zurich.
    24. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April.
    25. Vira Semenova, 2023. "Adaptive Estimation of Intersection Bounds: a Classification Approach," Papers 2303.00982, arXiv.org.
    26. John Engberg & Dennis Epple & Jason Imbrogno & Holger Sieg & Ron Zimmer, 2014. "Evaluating Education Programs That Have Lotteried Admission and Selective Attrition," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 27-63.
    27. Charles F. Manski & John V. Pepper, 2015. "How Do Right-To-Carry Laws Affect Crime Rates? Coping With Ambiguity Using Bounded-Variation Assumptions," NBER Working Papers 21701, National Bureau of Economic Research, Inc.
    28. Campa, Jose M., 2000. "Exchange rates and trade: How important is hysteresis in trade?," IESE Research Papers D/427, IESE Business School.
    29. Vazquez-Alvarez, R. & Melenberg, B. & van Soest, A.H.O., 1999. "Nonparametric Bounds on the Income Distribution in the Presence of Item Nonresponse," Discussion Paper 1999-33, Tilburg University, Center for Economic Research.
    30. Mechoulan, Stéphane, 2020. "Civil unrest, emergency powers, and spillover effects: A mixed methods analysis of the 2005 French riots," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 305-326.
    31. Ismael Mourifie & Yuanyuan Wan, 2015. "(Partially) Identifying potential outcome distributions in triangular systems," Working Papers tecipa-532, University of Toronto, Department of Economics.
    32. Pablo Lavado & Gonzalo Rivera, 2016. "Identifying Treatment Effects with Data Combination and Unobserved Heterogeneity," Working Papers 79, Peruvian Economic Association.
    33. Komarova, Tatiana, 2013. "Binary choice models with discrete regressors: Identification and misspecification," Journal of Econometrics, Elsevier, vol. 177(1), pages 14-33.
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    180. Ludwig, Jens & Duncan, Greg J. & Pinkston, Joshua C., 2005. "Housing mobility programs and economic self-sufficiency: Evidence from a randomized experiment," Journal of Public Economics, Elsevier, vol. 89(1), pages 131-156, January.
    181. François Gerard & Miikka Rokkanen & Christoph Rothe, 2020. "Bounds on treatment effects in regression discontinuity designs with a manipulated running variable," Quantitative Economics, Econometric Society, vol. 11(3), pages 839-870, July.
    182. Guildo W. Imbens, 2003. "Sensitivity to Exogeneity Assumptions in Program Evaluation," American Economic Review, American Economic Association, vol. 93(2), pages 126-132, May.
    183. Pleninger, Regina, 2022. "Impact of natural disasters on the income distribution," World Development, Elsevier, vol. 157(C).
    184. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    185. Eric Auerbach & Max Tabord-Meehan, 2021. "The Local Approach to Causal Inference under Network Interference," Papers 2105.03810, arXiv.org, revised Jun 2023.
    186. Lechner, Michael & Melly, Blaise, 2007. "Earnings Effects of Training Programs," CEPR Discussion Papers 6400, C.E.P.R. Discussion Papers.
    187. Charles F. Manski, 2019. "Meta-Analysis for Medical Decisions," NBER Working Papers 25504, National Bureau of Economic Research, Inc.
    188. Pablo Lavado & Gonzalo Rivera, 2015. "Identifying treatment effects and counterfactual distributions using data combination with unobserved heterogeneity," Working Papers 15-14, Centro de Investigación, Universidad del Pacífico.
    189. Brunello, Giorgio & Christelis, Dimitris & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2022. "Does College Selectivity Reduce Obesity? A Partial Identification Approach," IZA Discussion Papers 15612, Institute of Labor Economics (IZA).
    190. Anirban Basu, 2018. "Comment: Manski's views on patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1422-1424, October.
    191. Armstrong, Timothy B., 2015. "Asymptotically exact inference in conditional moment inequality models," Journal of Econometrics, Elsevier, vol. 186(1), pages 51-65.
    192. Machado, Cecilia & Shaikh, Azeem M. & Vytlacil, Edward J., 2019. "Instrumental variables and the sign of the average treatment effect," Journal of Econometrics, Elsevier, vol. 212(2), pages 522-555.
    193. Firpo, Sergio Pinheiro & Pinto, Rafael de Carvalho Cayres, 2012. "Combining Strategies for the Estimation of Treatment Effects," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(1), March.
    194. Gerard, François & Rothe, Christoph & Rokkanen, Miikka, 2016. "Bounds on Treatment Effects in Regression Discontinuity Designs under Manipulation of the Running Variable, with an Application," CEPR Discussion Papers 11668, C.E.P.R. Discussion Papers.
    195. Charles F. Manski, 2003. "Identification Problems in the Social Sciences and Everyday Life," Southern Economic Journal, John Wiley & Sons, vol. 70(1), pages 11-21, July.
    196. Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables: With an Application to the Returns to Schooling," Virginia Economics Online Papers 308, University of Virginia, Department of Economics.
    197. Sourabh Balgi & Jose M. Pe~na & Adel Daoud, 2022. "$\rho$-GNF : A Novel Sensitivity Analysis Approach Under Unobserved Confounders," Papers 2209.07111, arXiv.org.
    198. Feichter, Christoph & Moers, Frank & Timmermans, Oscar, 2022. "Relative performance evaluation and competitive aggressiveness," LSE Research Online Documents on Economics 115630, London School of Economics and Political Science, LSE Library.
    199. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
    200. Guanglei Hong & Fan Yang & Xu Qin, 2021. "Did you conduct a sensitivity analysis? A new weighting‐based approach for evaluations of the average treatment effect for the treated," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 227-254, January.
    201. Charles F. Manski & John V. Pepper, 2011. "Deterrence and the Death Penalty: Partial Identification Analysis Using Repeated Cross Sections," NBER Working Papers 17455, National Bureau of Economic Research, Inc.
    202. Christopher Blattman & Julian Jamison & Margaret Sheridan, 2016. "Reducing crime and violence: Experimental evidence from cognitive behavioral therapy in Liberia [Appendix]," Artefactual Field Experiments 00545, The Field Experiments Website.
    203. Charles Grant & Mario Padula, 2006. "Informal Credit Markets, Judicial Costs and Consumer Credit: Evidence from Firm Level Data," CSEF Working Papers 155, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    204. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    205. Andrea Ciaccio, 2023. "The Impact of a Cost-containment Measure on the Quality of Regional Health Services in Italy: a Parametric and a Non-parametric Approach," Working Papers 2023: 24, Department of Economics, University of Venice "Ca' Foscari".
    206. Rodriguez-Segura, Daniel, 2022. "A closer look at reading comprehension: Experimental evidence from Guatemala," International Journal of Educational Development, Elsevier, vol. 93(C).
    207. Marco Caliendo & Stefan Tübbicke, 2019. "Do Start-Up Subsidies for the Unemployed Affect Participants’ Well-Being? A Rigorous Look at (Un-)Intended Consequences of Labor Market Policies," CEPA Discussion Papers 14, Center for Economic Policy Analysis.
    208. Andrea Mercatanti, 2008. "A likelihood-based analysis for relaxing the exclusion restriction in randomized experiments with imperfect compliance," Temi di discussione (Economic working papers) 683, Bank of Italy, Economic Research and International Relations Area.
    209. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    210. Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
    211. Bruno Arpino & Arnstein Aassve, 2013. "Estimating the causal effect of fertility on economic wellbeing: data requirements, identifying assumptions and estimation methods," Empirical Economics, Springer, vol. 44(1), pages 355-385, February.
    212. Vazquez-Alvarez, R. & Melenberg, B. & van Soest, A.H.O., 2001. "Nonparametric Bounds in the Presence of Item Nonresponse, Unfolding Brackets and Anchoring," Discussion Paper 2001-67, Tilburg University, Center for Economic Research.
    213. Craig Gundersen & Brent Kreider & John Pepper & Valerie Tarasuk, 2017. "Food assistance programs and food insecurity: implications for Canada in light of the mixing problem," Empirical Economics, Springer, vol. 52(3), pages 1065-1087, May.
    214. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    215. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    216. Fan, Yanqin & Park, Sang Soo, 2014. "Nonparametric inference for counterfactual means: Bias-correction, confidence sets, and weak IV," Journal of Econometrics, Elsevier, vol. 178(P1), pages 45-56.
    217. Lin, Zhongjian & Vella, Francis, 2021. "Selection and Endogenous Treatment Models with Social Interactions: An Application to the Impact of Exercise on Self-Esteem," IZA Discussion Papers 14167, Institute of Labor Economics (IZA).
    218. Tyler J. VanderWeele, 2008. "Sensitivity Analysis: Distributional Assumptions and Confounding Assumptions," Biometrics, The International Biometric Society, vol. 64(2), pages 645-649, June.
    219. Michael Lechner, 2002. "Mikroökonometrische Evaluation arbeitsmarktpolitischer Massnahmen," University of St. Gallen Department of Economics working paper series 2002 2002-20, Department of Economics, University of St. Gallen.
    220. Stefan Boes & Stephan N�esch, 2009. "New Flight Regimes and Exposure to Aircraft Noise: Identifying Housing Price Effects Using a Ratio-of-Ratios Approach," SOI - Working Papers 0906, Socioeconomic Institute - University of Zurich.
    221. James J. Heckman & Edward J. Vytlacil, 2000. "Instrumental Variables, Selection Models, and Tight Bounds on the Average Treatment Effect," NBER Technical Working Papers 0259, National Bureau of Economic Research, Inc.
    222. Das, Tirthatanmoy & Polachek, Solomon, 2019. "A New Strategy to Identify Causal Relationships: Estimating a Binding Average Treatment Effect," IZA Discussion Papers 12766, Institute of Labor Economics (IZA).
    223. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    224. Robert Moffitt, 1991. "Program Evaluation With Nonexperimental Data," Evaluation Review, , vol. 15(3), pages 291-314, June.
    225. Alena Bičáková, 2017. "A Note on Selection and Gender Unemployment Gaps," Journal of Labor Research, Springer, vol. 38(4), pages 428-438, December.
    226. Mealli, Fabrizia & Rubin, Donald B., 2003. "Assumptions allowing the estimation of direct causal effects," Journal of Econometrics, Elsevier, vol. 112(1), pages 79-87, January.
    227. Grépin, Karen A. & Habyarimana, James & Jack, William, 2019. "Cash on delivery: Results of a randomized experiment to promote maternal health care in Kenya," Journal of Health Economics, Elsevier, vol. 65(C), pages 15-30.
    228. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    229. Jose Miguel Abito & Cuicui Chen, 2021. "How much can we identify from repeated games?," Economics Bulletin, AccessEcon, vol. 41(3), pages 1212-1222.
    230. Judea Pearl, 2003. "Statistics and causal inference: A review," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(2), pages 281-345, December.
    231. Adamecz-Völgyi, Anna, 2022. "Oktatási reformok hatása kérdőíves adatokon. Befolyásolják-e a reformok a részvételt, a lemorzsolódást és a válaszadást? [Education reforms as instrumental variables for education using survey data," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1298-1323.
    232. Stefan Boes, 2011. "On the causal effect of schooling on smoking: evidence without exogeneity conditions," Diskussionsschriften dp1102, Universitaet Bern, Departement Volkswirtschaft.
    233. Sokbae Lee & Martin Weidner, 2021. "Bounding Treatment Effects by Pooling Limited Information across Observations," Papers 2111.05243, arXiv.org, revised Dec 2023.
    234. Gelbach, Jonah B., 2015. "Can we learn anything about pleading changes from existing data?," International Review of Law and Economics, Elsevier, vol. 44(C), pages 72-86.
    235. Charles F. Manski, 1999. "Statistical Treatment Rules for Heterogeneous Populations: With Application to Randomized Experiments," NBER Technical Working Papers 0242, National Bureau of Economic Research, Inc.
    236. Espín-Sánchez, José-Antonio & Gil-Guirado, Salvador & Giraldo-Paez, W. Daniel & Vickers, Chris, 2019. "Labor income inequality in pre-industrial Mediterranean Spain: The city of Murcia in the 18th century," Explorations in Economic History, Elsevier, vol. 73(C), pages 1-1.
    237. Mark McGovern & David Canning & Till Bärnighausen, 2018. "Accounting for Non-Response Bias using Participation Incentives and Survey Design," CHaRMS Working Papers 18-02, Centre for HeAlth Research at the Management School (CHaRMS).
    238. Jeremiah Richey, 2014. "The Effect Of Youth Labor Market Experience On Adult Earnings," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(1), pages 47-61, March.
    239. Victor Aguirregabiria, 2005. "Another Look at the Identification of Dynamic Discrete Decision Processes," Econometrics 0504006, University Library of Munich, Germany.
    240. Miguet, Florence, 2008. "Voting about immigration policy: What does the Swiss experience tell us?," European Journal of Political Economy, Elsevier, vol. 24(3), pages 628-641, September.
    241. Stefan Boes, 2009. "Partial Identification of Discrete Counterfactual Distributions with Sequential Update of Information," SOI - Working Papers 0918, Socioeconomic Institute - University of Zurich.
    242. Lechner, Michael, 1997. "Mikroökonometrische Evaluationsstudien : Anmerkungen zu Theorie und Praxis," Discussion Papers 555, Institut fuer Volkswirtschaftslehre und Statistik, Abteilung fuer Volkswirtschaftslehre.
    243. Sonja Radas & Drazen Prelec, 2019. "Whose data can we trust: How meta-predictions can be used to uncover credible respondents in survey data," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
    244. Casey Quinn, 2005. "Generalisable regression methods for costeffectiveness using copulas," Health, Econometrics and Data Group (HEDG) Working Papers 05/13, HEDG, c/o Department of Economics, University of York.
    245. Aizawa, T.;, 2019. "Reviewing the Existing Evidence of the Conditional Cash Transfer in India through the Partial Identification Approach," Health, Econometrics and Data Group (HEDG) Working Papers 19/24, HEDG, c/o Department of Economics, University of York.
    246. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.
    247. Carlos A. Flores & Alfonso Flores-Lagunes, 2007. "Identification and Estimation of Casual Mechanisms and Net Effects of a Treatment," Working Papers 0706, University of Miami, Department of Economics.
    248. Gregory N. Price, 2005. "The Causal Effects of Participation in the American Economic Association Summer Minority Program," Southern Economic Journal, John Wiley & Sons, vol. 72(1), pages 78-97, July.
    249. Andres Santos, 2020. "A Comment on: “On the Informativeness of Descriptive Statistics for Structural Estimates” by Isaiah Andrews, Matthew Gentzkow, and Jesse M. Shapiro," Econometrica, Econometric Society, vol. 88(6), pages 2271-2276, November.
    250. Sungwon Lee, 2024. "Partial identification and inference for conditional distributions of treatment effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 107-127, January.

  75. Manski, C.F., 1989. "Regression," Working papers 8917, Wisconsin Madison - Social Systems.

    Cited by:

    1. Pablo Mitnik & Sunyoung Baek, 2013. "The Kumaraswamy distribution: median-dispersion re-parameterizations for regression modeling and simulation-based estimation," Statistical Papers, Springer, vol. 54(1), pages 177-192, February.
    2. Kemp, Gordon C.R. & Santos Silva, J.M.C., 2012. "Regression towards the mode," Journal of Econometrics, Elsevier, vol. 170(1), pages 92-101.
    3. Spyros Skouras, 2001. "Decisionmetrics: A Decision-Based Approach to Econometric Modeling," Working Papers 01-11-064, Santa Fe Institute.
    4. Christian Pedersen & Stephen Satchell, 2003. "Can NN-algorithms and macroeconomic data improve OLS industry returns forecasts?," The European Journal of Finance, Taylor & Francis Journals, vol. 9(3), pages 273-289.
    5. Anil K. Bera & Antonio F. Galvao Jr. & Gabriel V. Montes-Rojas & Sung Y. Park, 2014. "Which Quantile is the Most Informative? Maximum Likelihood, Maximum Entropy and Quantile Regression," World Scientific Book Chapters, in: Kaddour Hadri & William Mikhail (ed.), Econometric Methods and Their Applications in Finance, Macro and Related Fields, chapter 7, pages 167-199, World Scientific Publishing Co. Pte. Ltd..
    6. Essama-Nssah, , B. & Bassol3, Leandre & Paul, Saumik, 2010. "Accounting for heterogeneity in growth incidence in Cameroon," Policy Research Working Paper Series 5464, The World Bank.
    7. Daniel S. Hamermesh, 1999. "The Art of Labormetrics," NBER Working Papers 6927, National Bureau of Economic Research, Inc.
    8. Essama-Nssah, B. & Bassole, Leandre, 2010. "A counterfactual analysis of the poverty impact of economic growth in Cameroon," Policy Research Working Paper Series 5249, The World Bank.
    9. Brownstone, David, 1997. "Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition," University of California Transportation Center, Working Papers qt2zd6w6hh, University of California Transportation Center.
    10. Sanghamitra Das & Ramprasad Sengupta, 2004. "Projection pursuit regression and disaggregate productivity effects: the case of the Indian blast furnaces," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 397-418.
    11. Bera Anil K. & Galvao Antonio F. & Montes-Rojas Gabriel V. & Park Sung Y., 2016. "Asymmetric Laplace Regression: Maximum Likelihood, Maximum Entropy and Quantile Regression," Journal of Econometric Methods, De Gruyter, vol. 5(1), pages 79-101, January.
    12. Kim, Kwansoo & Foltz, Jeremy D. & Barham, Bradford L., 2002. "Are There Synergies Or Tradeoffs Between Articles And Patents In University Ag-Biotech Research," 2002 Annual meeting, July 28-31, Long Beach, CA 19649, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  76. Manski, C.F. & Thompson, S.T., 1989. "Estimation Of Best Predictors Of Benary Response," Working papers 367, Wisconsin Madison - Social Systems.

    Cited by:

    1. Toru Kitagawa & Aleksey Tetenov, 2018. "Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice," Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.
    2. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    3. Komarova, Tatiana, 2013. "Binary choice models with discrete regressors: Identification and misspecification," Journal of Econometrics, Elsevier, vol. 177(1), pages 14-33.
    4. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    5. Tatiana Komarova, 2012. "Binary Choice Models with Discrete Regressors: Identification and Misspecification," STICERD - Econometrics Paper Series 559, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    6. Yang Yang & Tae-Hwy Lee, 2004. "Bagging Binary Predictors for Time Series," Econometric Society 2004 Far Eastern Meetings 512, Econometric Society.
    7. Toru Kitagawa & Shosei Sakaguchi & Aleksey Tetenov, 2021. "Constrained Classification and Policy Learning," Papers 2106.12886, arXiv.org, revised Jul 2023.
    8. Toru Kitagawa & Aleksey Tetenov, 2015. "Who should be treated? Empirical welfare maximization methods for treatment choice," CeMMAP working papers 10/15, Institute for Fiscal Studies.
    9. Yu Xie & Charles F. Manski, 1989. "The Logit Model and Response-Based Samples," Sociological Methods & Research, , vol. 17(3), pages 283-302, February.
    10. Davide Viviano & Jelena Bradic, 2020. "Fair Policy Targeting," Papers 2005.12395, arXiv.org, revised Jun 2022.
    11. Elliott, Graham & Lieli, Robert P., 2013. "Predicting binary outcomes," Journal of Econometrics, Elsevier, vol. 174(1), pages 15-26.
    12. Caudill, Steven B., 2003. "Predicting discrete outcomes with the maximum score estimator: the case of the NCAA men's basketball tournament," International Journal of Forecasting, Elsevier, vol. 19(2), pages 313-317.
    13. James Dawber & Nicola Salvati & Enrico Fabrizi & Nikos Tzavidis, 2022. "Expectile regression for multi‐category outcomes with application to small area estimation of labour force participation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 590-619, December.
    14. Fesselmeyer, Eric & Le, Kien T. & Seah, Kiat Ying, 2012. "A household-level decomposition of the white–black homeownership gap," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 52-62.
    15. Mayer, Walter J. & Wu, Chen, 2007. "Note on optimal predictors of binary response," Economics Letters, Elsevier, vol. 96(3), pages 307-308, September.
    16. Christopher Vahl & Qing Kang, 2015. "Analysis of an outcome-dependent enriched sample: hypothesis tests," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 387-409, September.
    17. Yang, Chao & Lee, Lung-fei, 2017. "Social interactions under incomplete information with heterogeneous expectations," Journal of Econometrics, Elsevier, vol. 198(1), pages 65-83.
    18. Yang Li & Walter J. Mayer, 2007. "Impact of corrections for dynamic selection bias on forecasts of retention behavior," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(8), pages 571-582.
    19. Alastair Scott & Chris Wild, 2002. "On the robustness of weighted methods for fitting models to case–control data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(2), pages 207-219, May.
    20. Madden, Gary & Mayer, Walter & Wu, Chen & Tran, Thien, 2015. "The forecasting accuracy of models of post-award network deployment: An application of maximum score tests," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1153-1158.
    21. Lee, Tae-Hwy & Yang, Yang, 2006. "Bagging binary and quantile predictors for time series," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 465-497.

  77. Xie, Y. & Manski, C.F., 1989. "The Logic Model And Response-Based Samples," Working papers 372, Wisconsin Madison - Social Systems.

    Cited by:

    1. Xie, Xian-Jin & Pendergast, Jane & Clarke, William, 2008. "Increasing the power: A practical approach to goodness-of-fit test for logistic regression models with continuous predictors," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2703-2713, January.
    2. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    3. Matthew Roskruge & Jacques Poot & Laura King, 2016. "Social capital, entrepreneurship and living standards: differences between migrants and the native born," Chapters, in: Hans Westlund & Johan P. Larsson (ed.), Handbook of Social Capital and Regional Development, chapter 9, pages 221-254, Edward Elgar Publishing.
    4. Tao Xu, 2022. "The Effect of Health Change on Long-Term Settlement Intentions of International Immigrants in New Destination Countries: Evidence from Yiwu City in China," IJERPH, MDPI, vol. 19(13), pages 1-18, June.
    5. Kroneberg, Clemens & Stocké, Volker & Yaish, Meir, 2006. "Norms or rationality? : The rescue of jews, electoral participation, and educational decisions," Papers 06-09, Sonderforschungsbreich 504.
    6. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    7. Pamela Giustinelli, 2016. "Group Decision Making With Uncertain Outcomes: Unpacking Child–Parent Choice Of The High School Track," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 573-602, May.
    8. Duarte Trigueiros, 2019. "Improving the effectiveness of predictors in accounting-based models," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 20(2), pages 207-226, June.
    9. Tran Thu & Moritaka Masahiro & Liu Ran & Fukuda Susumu, 2018. "Information effect on consumer adoption for a new beef brand in the Vietnamese market: prior knowledge, appealing the brand distinction, differentiation and similarity," Management & Marketing, Sciendo, vol. 13(3), pages 1014-1034, September.
    10. Sung Jae Jun & Sokbae (Simon) Lee, 2020. "Causal inference in case-control studies," CeMMAP working papers CWP19/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Jian Chen & Jin Xiang & Tyler T. Yang, 2018. "Re-Default Risk of Modified Mortgages," International Real Estate Review, Global Social Science Institute, vol. 21(1), pages 1-40.
    12. Maalouf, Maher & Trafalis, Theodore B., 2011. "Robust weighted kernel logistic regression in imbalanced and rare events data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 168-183, January.
    13. Abhirup Chakrabarti & Will Mitchell, 2013. "The Persistent Effect of Geographic Distance in Acquisition Target Selection," Organization Science, INFORMS, vol. 24(6), pages 1805-1826, December.
    14. J. S. Cramer, 2004. "Scoring bank loans that may go wrong: a case study," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(3), pages 365-380, August.
    15. Yossi Perelman & Meir Yaish & Benjamin Bental, 2019. "The price of religiosity: Enticing young Haredi men into secular academic studies," Rationality and Society, , vol. 31(2), pages 129-151, May.
    16. Avanzini, Diego & Martı́nez, Juan Francisco & Pérez, Vı́ctor, 2020. "Assessing mortgage default risk in full-recourse economies, with an application to the case of Chile," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    17. Alastair Scott & Chris Wild, 2002. "On the robustness of weighted methods for fitting models to case–control data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(2), pages 207-219, May.
    18. Jensen, Paul H. & Palangkaraya, Alfons & Webster, Elizabeth, 2015. "Trust and the market for technology," Research Policy, Elsevier, vol. 44(2), pages 340-356.
    19. Clemens Kroneberg & Meir Yaish & Volker Stocké, 2010. "Norms and Rationality in Electoral Participation and in the Rescue of Jews in WWII," Rationality and Society, , vol. 22(1), pages 3-36, February.
    20. Ahmed, M.S. & Attouch, M.K. & Dabo-Niang, S., 2018. "Binary functional linear models under choice-based sampling," Econometrics and Statistics, Elsevier, vol. 7(C), pages 134-152.
    21. Christopher Paul & William Mason & Daniel McCaffrey & Sarah Fox, 2008. "A cautionary case study of approaches to the treatment of missing data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(3), pages 351-372, July.
    22. Stock, Ruth Maria & von Hippel, Eric & Gillert, Nils Lennart, 2016. "Impacts of personality traits on consumer innovation success," Research Policy, Elsevier, vol. 45(4), pages 757-769.
    23. Federico Varese & Meir Yaish, 2000. "The Importance Of Being Asked," Rationality and Society, , vol. 12(3), pages 307-334, August.

  78. Manski, C.F., 1989. "The Use Of Intentions Data To Predict Behaviour : A Best- Case Analysis," Working papers 8905, Wisconsin Madison - Social Systems.

    Cited by:

    1. Stephen Drinkwater, 2003. "Go West? Assessing the willingness to move from Central and Eastern European Countries," School of Economics Discussion Papers 0503, School of Economics, University of Surrey.
    2. Kankaanranta, Terhi & Nummi, Tapio & Vainiomaki, Jari & Halila, Hannu & Hyppola, Harri & Isokoski, Mauri & Kujala, Santero & Kumpusalo, Esko & Mattila, Kari & Virjo, Irma & Vanska, Jukka & Rissanen, P, 2007. "The role of job satisfaction, job dissatisfaction and demographic factors on physicians' intentions to switch work sector from public to private," Health Policy, Elsevier, vol. 83(1), pages 50-64, September.
    3. Jeff Dominitz & Charles F. Manski, 1994. "Eliciting Student Expectations Of The Returns To Schooling," Econometrics 9411002, University Library of Munich, Germany.
    4. Steven N. Durlauf, 2002. "On the Empirics of Social Capital," Economic Journal, Royal Economic Society, vol. 112(483), pages 459-479, November.
    5. Xavi Ramos & Christian Schluter, 2003. "Subjective Income Expectations, Canonical Models and Income Risk," Working Papers wpdea0310, Department of Applied Economics at Universitat Autonoma of Barcelona.
    6. Joseph Engelberg & Charles F. Manski & Jared Williams, 2006. "Comparing the Point Predictions and Subjective Probability Distributions of Professional Forecasters," NBER Working Papers 11978, National Bureau of Economic Research, Inc.
    7. Frijters, Paul & de New, John & Shields, Michael A., 2002. "Individual Rationality and Learning: Welfare Expectations in East Germany Post-Reunification," IZA Discussion Papers 498, Institute of Labor Economics (IZA).
    8. Dhori Kule & Ahmet Mançellari & Harry Papapanagos & Stefan Qirici & Peter Sanfey, 2000. "The Causes and Consequences of Albanian Emigration during Transition: Evidence from Micro Data," Studies in Economics 0004, School of Economics, University of Kent.
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    23. J. Dominitz & C. F. Manski, "undated". "Perceptions of economic vulnerability: First evidence from the survey of economic expectations," Institute for Research on Poverty Discussion Papers 1069-95, University of Wisconsin Institute for Research on Poverty.
    24. Jeff Dominitz & Charles F. Manski & Jordan Heinz, 2003. ""Will Social Security Be There For You?": How Americans Perceive Their Benefits," NBER Working Papers 9798, National Bureau of Economic Research, Inc.
    25. Michael D. Hurd & Kathleen McGarry, 2002. "The Predictive Validity of Subjective Probabilities of Survival," Economic Journal, Royal Economic Society, vol. 112(482), pages 966-985, October.
    26. Richard Disney & Tanner, Tanner, 1999. "What can we learn from retirement expectations data?," IFS Working Papers W99/17, Institute for Fiscal Studies.

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    1. Gabriel Montes-Rojas & Luciano de Castro & Antonio F. Galvao & Jeong Yeol Kim & José Olmo, 2021. "Experiments On Portfolio Selection: A Comparison Between Quantile Preferences And Expected Utility Decision Models," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET) 2021-68, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET).
    2. Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2017. "Smoothed GMM for quantile models," Papers 1707.03436, arXiv.org, revised Feb 2018.
    3. de Castro, Luciano & Galvao, Antonio F. & Noussair, Charles N. & Qiao, Liang, 2022. "Do people maximize quantiles?," Games and Economic Behavior, Elsevier, vol. 132(C), pages 22-40.
    4. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April.
    5. Salvatore Corrente & Salvatore Greco & Benedetto Matarazzo & Roman Słowiński, 2016. "Robust ordinal regression for decision under risk and uncertainty," Journal of Business Economics, Springer, vol. 86(1), pages 55-83, January.
    6. Hu, Jian & Bansal, Manish & Mehrotra, Sanjay, 2018. "Robust decision making using a general utility set," European Journal of Operational Research, Elsevier, vol. 269(2), pages 699-714.
    7. Michel Denuit & Louis Eeckhoudt, 2010. "Bivariate Stochastic Dominance and Substitute Risk-(In)dependent Utilities," Decision Analysis, INFORMS, vol. 7(3), pages 302-312, September.
    8. Giovannetti, Bruno C., 2013. "Asset pricing under quantile utility maximization," Review of Financial Economics, Elsevier, vol. 22(4), pages 169-179.
    9. Charles F. Manski & Aleksey Tetenov, 2014. "The Quantile Performance of Statistical Treatment Rules Using Hypothesis Tests to Allocate a Population to Two Treatments," CeMMAP working papers CWP44/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Kobus, Martyna & Kurek, Radosław, 2018. "Copula-based measurement of interdependence for discrete distributions," Journal of Mathematical Economics, Elsevier, vol. 79(C), pages 27-39.
    11. Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.
    12. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
    13. Chen, Si & Schildberg-Hörisch, Hannah, 2018. "Looking at the Bright Side: The Motivation Value of Overconfidence," IZA Discussion Papers 11564, Institute of Labor Economics (IZA).
    14. Xue Dong He & Zhaoli Jiang, 2020. "Optimal Payoff under the Generalized Dual Theory of Choice," Papers 2012.00345, arXiv.org.
    15. Charles F. Manski & Aleksey Tetenov, 2023. "Statistical Decision Theory Respecting Stochastic Dominance," Papers 2308.05171, arXiv.org.
    16. Luciano de Castro & Antonio F. Galvao & Gabriel Montes-Rojas & Jose Olmo, 2022. "Portfolio selection in quantile decision models," Annals of Finance, Springer, vol. 18(2), pages 133-181, June.
    17. Chen, Le-Yu & Oparina, Ekaterina & Powdthavee, Nattavudh & Srisuma, Sorawoot, 2022. "Robust Ranking of Happiness Outcomes: A Median Regression Perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 672-686.
    18. Matteo Triossi & Patricio Valdivieso & Benjamín Villena-Roldán, 2013. "A Spatial Model of Voting with Endogenous Proposals: Theory and Evidence from Chilean Senate," Documentos de Trabajo 294, Centro de Economía Aplicada, Universidad de Chile.
    19. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Feb 2024.
    20. Ilia Tsetlin & Robert L. Winkler, 2006. "On Equivalent Target-Oriented Formulations for Multiattribute Utility," Decision Analysis, INFORMS, vol. 3(2), pages 94-99, June.
    21. Charles F. Manski, 2008. "Partial Prescriptions For Decisions With Partial Knowledge," NBER Working Papers 14396, National Bureau of Economic Research, Inc.
    22. Jozef Baruník & Matěj Nevrla, 2023. "Quantile Spectral Beta: A Tale of Tail Risks, Investment Horizons, and Asset Prices," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1590-1646.
    23. Luciano Castro & Antonio F. Galvao, 2022. "Static and dynamic quantile preferences," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 73(2), pages 747-779, April.
    24. Mikhail Sokolov, 2011. "Interval scalability of rank-dependent utility," Theory and Decision, Springer, vol. 70(3), pages 255-282, March.
    25. Xue Dong He & Zhaoli Jiang & Steven Kou, 2020. "Portfolio Selection under Median and Quantile Maximization," Papers 2008.10257, arXiv.org, revised Mar 2021.
    26. Christopher P. Chambers & Alan D. Miller, 2023. "Multiple Adjusted Quantiles," Papers 2305.06354, arXiv.org.
    27. Marco LiCalzi, 2005. "A language for the construction of preferences under uncertainty," Game Theory and Information 0509002, University Library of Munich, Germany.
    28. Enrico Diecidue & Jeroen Van De Ven, 2008. "Aspiration Level, Probability Of Success And Failure, And Expected Utility," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(2), pages 683-700, May.
    29. Luciano de Castro & Antonio F. Galvao & David M. Kaplan, 2017. "Smoothed instrumental variables quantile regression, with estimation of quantile Euler equations," Working Papers 1710, Department of Economics, University of Missouri, revised 28 Feb 2018.
    30. de Castro, Luciano & Galvao, Antonio F. & Muchon, Andre, 2023. "Numerical Solution of Dynamic Quantile Models," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
    31. Jarrod Burgh & Emerson Melo, 2024. "Censored Beliefs and Wishful Thinking," Papers 2402.01892, arXiv.org.
    32. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    33. de Castro, Luciano & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2020. "Quantile selection in non-linear GMM quantile models," Economics Letters, Elsevier, vol. 195(C).
    34. Christopher P. Chambers, 2009. "An Axiomatization Of Quantiles On The Domain Of Distribution Functions," Mathematical Finance, Wiley Blackwell, vol. 19(2), pages 335-342, April.
    35. Charles F. Manski, 2019. "Remarks on statistical inference for statistical decisions," CeMMAP working papers CWP06/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    36. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    37. Charles Manski, 2011. "Actualist rationality," Theory and Decision, Springer, vol. 71(2), pages 195-210, August.

  80. Manski, Charles F. & Thompson, T. Scott, 1985. "Operational Characteristics Of Maximum Score Estimation," SSRI Workshop Series 292675, University of Wisconsin-Madison, Social Systems Research Institute.

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    1. Lee, Lung-fei, 1995. "Semiparametric maximum likelihood estimation of polychotomous and sequential choice models," Journal of Econometrics, Elsevier, vol. 65(2), pages 381-428, February.
    2. Igor Fedotenkov, 2013. "Consistency of the estimator of binary response models based on AUC maximization," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(3), pages 381-390, August.
    3. Gregory Kordas, 2006. "Smoothed binary regression quantiles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 387-407, April.
    4. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    5. Weiren Wang, 1997. "Semi-parametric estimation of the effect of health on labour force participation of married women," Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 325-329.
    6. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    7. John Crooker & Joseph Herriges, 2004. "Parametric and Semi-Nonparametric Estimation of Willingness-to-Pay in the Dichotomous Choice Contingent Valuation Framework," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(4), pages 451-480, April.
    8. Komarova, Tatiana, 2013. "Binary choice models with discrete regressors: Identification and misspecification," Journal of Econometrics, Elsevier, vol. 177(1), pages 14-33.
    9. König, Heinz & Lechner, Michael, 1994. "Some recent developments in microeconometrics: A survey," ZEW Discussion Papers 94-12, ZEW - Leibniz Centre for European Economic Research.
    10. Florios, Kostas, 2018. "A hyperplanes intersection simulated annealing algorithm for maximum score estimation," Econometrics and Statistics, Elsevier, vol. 8(C), pages 37-55.
    11. Jeremy T. Fox, 2018. "Estimating matching games with transfers," Quantitative Economics, Econometric Society, vol. 9(1), pages 1-38, March.
    12. Peeters, H.M.M., 1989. "Het gebruik van een parametrische en een semi-parametrische schattingsmethode voor het binaire keuzemodel: Probit Maximum Likelihood versus Maximum Score [The use of a parametric and a semi-paramet," MPRA Paper 28104, University Library of Munich, Germany.
    13. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    14. Alistair Wilson & Mariagiovanna Baccara & Ayse Imrohoroglu & Leeat Yariv, 2009. "A Field Study on Matching with Network Externalities," Working Paper 486, Department of Economics, University of Pittsburgh, revised Sep 2011.
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    18. Chen, Le-Yu & Oparina, Ekaterina & Powdthavee, Nattavudh & Srisuma, Sorawoot, 2019. "Have Econometric Analyses of Happiness Data Been Futile? A Simple Truth about Happiness Scales," IZA Discussion Papers 12152, Institute of Labor Economics (IZA).
    19. Kalouptsidis, N. & Koutroumbas, K. & Psaraki, V., 2007. "Classification methods for random utility models with i.i.d. disturbances under the most probable alternative rule," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1778-1794, February.
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    22. Adam Rosen & Takuya Ura, 2020. "Finite Sample Inference for the Maximum Score Estimand," CeMMAP working papers CWP22/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Chen, Le-Yu & Oparina, Ekaterina & Powdthavee, Nattavudh & Srisuma, Sorawoot, 2022. "Robust Ranking of Happiness Outcomes: A Median Regression Perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 672-686.
    24. Lee, Sokbae & Seo, Myung Hwan, 2007. "Semiparametric estimation of a binary response model with a change-point due to a covariate threshold," LSE Research Online Documents on Economics 6806, London School of Economics and Political Science, LSE Library.
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    27. Schwiebert, Jörg, 2012. "Semiparametric Estimation of a Binary Choice Model with Sample Selection," Hannover Economic Papers (HEP) dp-505, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
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    33. Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
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    36. Francisco Alvarez-Cuadrado, 2006. "Improving The Efficiency And Robustness Of The Smoothed Maximum Score Estimator," Departmental Working Papers 2004-01, McGill University, Department of Economics.

  81. Manski, Charles F., 1985. "Semiparametric Analysis Of Random Effects Linear Models From Binary Panel Data," SSRI Workshop Series 292669, University of Wisconsin-Madison, Social Systems Research Institute.

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    1. Koen Jochmans & Thierry Magnac, 2017. "A Note on Sufficiency in Binary Panel Models," Post-Print hal-03945836, HAL.
    2. Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Gayle, Wayne-Roy, 2013. "Identification and N-consistent estimation of a nonlinear panel data model with correlated unobserved effects," Journal of Econometrics, Elsevier, vol. 175(2), pages 71-83.
    4. Koen Jochmans, 2015. "Multiplicative-error models with sample selection," SciencePo Working papers Main hal-03392990, HAL.
    5. Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013. "Nonparametric identification in panels using quantiles," CeMMAP working papers 66/13, Institute for Fiscal Studies.
    6. Charlier, Erwin & Melenberg, Bertrand & van Soest, Arthur, 2000. "Estimation of a censored regression panel data model using conditional moment restrictions efficiently," Journal of Econometrics, Elsevier, vol. 95(1), pages 25-56, March.
    7. Xiaoming Li, 2011. "Fixed Effects Estimation in Panel Nonlinear Fractional Response Models," Working papers 2011-11, University of Connecticut, Department of Economics.
    8. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2022. "The Use of Scanner Data for Economics Research," TSE Working Papers 22-1286, Toulouse School of Economics (TSE).
    9. Le-Yu Chen & Sokbae (Simon) Lee, 2017. "Breaking the curse of dimensionality in conditional moment inequalities for discrete choice models," CeMMAP working papers CWP51/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    11. Khan, Shakeeb & Tamer, Elie, 2007. "Partial rank estimation of duration models with general forms of censoring," Journal of Econometrics, Elsevier, vol. 136(1), pages 251-280, January.
    12. Ghanem, Dalia, 2017. "Testing identifying assumptions in nonseparable panel data models," Journal of Econometrics, Elsevier, vol. 197(2), pages 202-217.
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    27. Adam Rosen, 2009. "Set identification via quantile restrictions in short panels," CeMMAP working papers CWP26/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    28. Wayne Yuan Gao & Rui Wang, 2023. "Identification of Nonlinear Dynamic Panels under Partial Stationarity," Papers 2401.00264, arXiv.org, revised May 2024.
    29. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous Scope Economies in Microfinance Institutions," MPRA Paper 87450, University Library of Munich, Germany.
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    185. Centorrino, Samuele & Florens, Jean-Pierre, 2021. "Nonparametric Instrumental Variable Estimation of Binary Response Models with Continuous Endogenous Regressors," Econometrics and Statistics, Elsevier, vol. 17(C), pages 35-63.
    186. Chen, Songnian, 2010. "An integrated maximum score estimator for a generalized censored quantile regression model," Journal of Econometrics, Elsevier, vol. 155(1), pages 90-98, March.
    187. Zhang, Jun & Lin, Bingqing & Zhou, Yan, 2021. "Kernel density estimation for partial linear multivariate responses models," Journal of Multivariate Analysis, Elsevier, vol. 185(C).
    188. Songnian Chen & Yahong Zhou, 2005. "A Simple Matching Method for Estimating Sample Selection Models Using Experimental Data," Annals of Economics and Finance, Society for AEF, vol. 6(1), pages 155-167, May.
    189. Stéphane Bonhomme & Martin Weidner, 2020. "Posterior average effects," CeMMAP working papers CWP49/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    190. Huang, J u-Chin & Nychka, Douglas W., 2000. "A nonparametric multiple choice method within the random utility framework," Journal of Econometrics, Elsevier, vol. 97(2), pages 207-225, August.
    191. Hübler, Olaf, 2005. "Panel Data Econometrics: Modelling and Estimation," Hannover Economic Papers (HEP) dp-319, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    192. Ferrara, Gerardo & Kim, Jun Sung & Koo, Bonsoo & Liu, Zijun, 2021. "Counterparty choice in the UK credit default swap market: An empirical matching approach," Economic Modelling, Elsevier, vol. 94(C), pages 58-74.
    193. Santos, Carlos, 2011. "The euro sovereign debt crisis, determinants of default probabilities and implied ratings in the CDS market: an econometric analysis," MPRA Paper 31341, University Library of Munich, Germany.
    194. Su, Jiun-Hua, 2021. "Model selection in utility-maximizing binary prediction," Journal of Econometrics, Elsevier, vol. 223(1), pages 96-124.
    195. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    196. Stewart, Mark B., 2005. "A comparison of semiparametric estimators for the ordered response model," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 555-573, April.
    197. Chen, Pian & Velamuri, Malathi, 2009. "Misspecification and Heterogeneity in Single-Index, Binary Choice Models," MPRA Paper 15722, University Library of Munich, Germany.
    198. Jiarui Liu, 2021. "Sequential Search Models: A Pairwise Maximum Rank Approach," Papers 2104.13865, arXiv.org, revised Nov 2021.
    199. Sadat Reza & Paul Rilstone, 2019. "Smoothed Maximum Score Estimation of Discrete Duration Models," JRFM, MDPI, vol. 12(2), pages 1-16, April.
    200. Barros, Ricardo Paes de, 2010. "The Impact of Social Interventions: Nonparametric Identification from Choice-Based Samples," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
    201. Shaikh, Azeem M. & Vytlacil, Edward, 2008. "Endogenous binary choice models with median restrictions: A comment," Economics Letters, Elsevier, vol. 98(1), pages 23-28, January.
    202. Khan, Shakeeb & Powell, James L., 2001. "Two-step estimation of semiparametric censored regression models," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 73-110, July.
    203. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," Department of Economics Working Papers 2020-09, McMaster University.
    204. Otero, Karina V., 2016. "Nonparametric identification of dynamic multinomial choice games: unknown payoffs and shocks without interchangeability," MPRA Paper 86784, University Library of Munich, Germany.
    205. Madden, Gary & Mayer, Walter & Wu, Chen & Tran, Thien, 2015. "The forecasting accuracy of models of post-award network deployment: An application of maximum score tests," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1153-1158.
    206. Lee, Tae-Hwy & Yang, Yang, 2006. "Bagging binary and quantile predictors for time series," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 465-497.
    207. E. Dijkgraaf & R. H. J. M. Gradus & B. Melenberg, 2003. "Contracting out refuse collection," Empirical Economics, Springer, vol. 28(3), pages 553-570, July.
    208. Matzkin, Rosa L., 2019. "Constructive identification in some nonseparable discrete choice models," Journal of Econometrics, Elsevier, vol. 211(1), pages 83-103.
    209. Tucci, Marco P., 2002. "A note on global optimization in adaptive control, econometrics and macroeconomics," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1739-1764, August.
    210. Chen, Songnian, 2000. "Rank estimation of a location parameter in the binary choice model," Journal of Econometrics, Elsevier, vol. 98(2), pages 317-334, October.
    211. Hisatoshi Tanaka, 2020. "Differentiability of the Conditional Expectation," Working Papers 1920, Waseda University, Faculty of Political Science and Economics.
    212. Francisco Alvarez-Cuadrado, 2006. "Improving The Efficiency And Robustness Of The Smoothed Maximum Score Estimator," Departmental Working Papers 2004-01, McGill University, Department of Economics.
    213. Joel L. Horowitz & N. E. Savin, 2001. "Binary Response Models: Logits, Probits and Semiparametrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 43-56, Fall.
    214. Jeff Racine, 2002. "Generalized Semiparametric Binary Prediction," Annals of Economics and Finance, Society for AEF, vol. 3(1), pages 117-134, May.
    215. Riddel, Mary, 2011. "Uncertainty and measurement error in welfare models for risk changes," Journal of Environmental Economics and Management, Elsevier, vol. 61(3), pages 341-354, May.
    216. Han, Jinyue & Wang, Jun & Gao, Wei & Tang, Man-Lai, 2023. "Estimation of the directions for unknown parameters in semiparametric models," MPRA Paper 116365, University Library of Munich, Germany.
    217. Xi Wang & Songnian Chen, 2022. "Partial Identification and Estimation of Semiparametric Ordered Response Models with Interval Regressor Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 830-849, August.
    218. Gourieroux Christian & Monfort Alain & Renault Eric, 1987. "Consistent m-estimators in a semi-parametric model," CEPREMAP Working Papers (Couverture Orange) 8720, CEPREMAP.
    219. Guo, Jing & Wang, Lei & Zhang, Zhengyu, 2022. "Identification and estimation of a heteroskedastic censored regression model with random coefficient dummy endogenous regressors," Economic Modelling, Elsevier, vol. 110(C).
    220. Joel L. Horowitz, 2018. "Bootstrap methods in econometrics," CeMMAP working papers CWP53/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    221. Qingsong Yao, 2023. "Stochastic Learning of Semiparametric Monotone Index Models with Large Sample Size," Papers 2309.06693, arXiv.org, revised Oct 2023.

  84. C. F. Manski, "undated". "Educational choice (vouchers) and social mobility," Institute for Research on Poverty Discussion Papers 972-92, University of Wisconsin Institute for Research on Poverty.

    Cited by:

    1. Lisa Barrow & Cecilia Elena Rouse, 2002. "Using Market Valuation to Assess Public School Spending," NBER Working Papers 9054, National Bureau of Economic Research, Inc.
    2. Paul Teske & Mark Schneider, 2001. "What Research Can Tell Policymakers about School Choice," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 20(4), pages 609-631.
    3. Chakrabarti Rajashri, 2013. "Impact of Voucher Design on Public School Performance: Evidence from Florida and Milwaukee Voucher Programs," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 13(1), pages 349-394, July.
    4. Bastos, Paulo & Cristia, Julian, 2012. "Supply and quality choices in private child care markets: Evidence from São Paulo," Journal of Development Economics, Elsevier, vol. 98(2), pages 242-255.
    5. Akyol, Metin, 2016. "Do educational vouchers reduce inequality and inefficiency in education?," Economics of Education Review, Elsevier, vol. 55(C), pages 149-167.
    6. Levon Barseghyan & Damon Clark & Stephen Coate, 2014. "Public School Choice: An Economic Analysis," NBER Working Papers 20701, National Bureau of Economic Research, Inc.
    7. Caroline M. Hoxby, 2000. "Does Competition among Public Schools Benefit Students and Taxpayers?," American Economic Review, American Economic Association, vol. 90(5), pages 1209-1238, December.
    8. Eden, B., 1992. "How to Subsidize Education and Achieve Voluntary Integration: An Analysis of Voucher Systems," Working Papers 92-22, University of Iowa, Department of Economics.
    9. Joseph G. Altonji & Ching-I Huang & Christopher R. Taber, 2010. "Estimating the Cream Skimming Effect of School Choice," NBER Working Papers 16579, National Bureau of Economic Research, Inc.
    10. Gabor Kertesi & Gabor Kezdi, 2013. "School segregation, school choice and educational policies in 100 Hungarian towns," Budapest Working Papers on the Labour Market 1312, Institute of Economics, Centre for Economic and Regional Studies.
    11. Bastos, Paulo & Cristia, Julian P., 2010. "Entry and Quality Choices in Child Care Markets," IDB Publications (Working Papers) 3029, Inter-American Development Bank.
    12. Epple, Dennis & Romano, Richard & Sieg, Holger, 2000. "Peer Effects, Financial Aid, and Selection of Students into Colleges and Universities: An Empirical Analysis," Working Papers 00-02, Duke University, Department of Economics.
    13. Sinan Sarpça & Kuzey Yılmaz & Eric Hanushek, 2007. "School Choice: Traditional Mechanisms and Extending the Poor's Ability to Choose," Koç University-TUSIAD Economic Research Forum Working Papers 0709, Koc University-TUSIAD Economic Research Forum.
    14. Chang-Tai Hsieh & Miguel Urquiola, 2003. "When Schools Compete, How Do They Compete? An Assessment of Chile's Nationwide School Voucher Program," NBER Working Papers 10008, National Bureau of Economic Research, Inc.
    15. Appleton, Simon, "undated". "User Fees, Expenditure Restructuring and Voucher Systems in Education," WIDER Working Papers 295459, United Nations University, World Institute for Development Economic Research (UNU-WIDER).
    16. McMillan, Robert, 2005. "Erratum to "Competition, incentives, and public school productivity"," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 1133-1154, June.
    17. Thomas J. Nechyba, 2000. "Mobility, Targeting, and Private-School Vouchers," American Economic Review, American Economic Association, vol. 90(1), pages 130-146, March.
    18. McMillan, Robert, 2004. "Competition, incentives, and public school productivity," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1871-1892, August.
    19. Hsieh, Chang-Tai & Urquiola, Miguel, 2006. "The effects of generalized school choice on achievement and stratification: Evidence from Chile's voucher program," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1477-1503, September.
    20. Pablo González, 2002. "Lecciones de la investigación económica sobre el rol del sector privado en educación," Documentos de Trabajo 117, Centro de Economía Aplicada, Universidad de Chile.
    21. Rajashri Chakrabarti, 2005. "Can Increasing Private School Participation and Monetary Loss in a Voucher Program Affect Public School Performance? Evidence from Milwaukee," Public Economics 0512003, University Library of Munich, Germany.
    22. Selod, Harris & Zenou, Yves, 2003. "Private versus public schools in post-Apartheid South African cities: theory and policy implications," Journal of Development Economics, Elsevier, vol. 71(2), pages 351-394, August.
    23. Pamela Giustinelli & Charles F. Manski, 2018. "Survey Measures Of Family Decision Processes For Econometric Analysis Of Schooling Decisions," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 81-99, January.
    24. Caroline Minter Hoxby, 1996. "Are Efficiency and Equity in School Finance Substitutes or Complements?," Journal of Economic Perspectives, American Economic Association, vol. 10(4), pages 51-72, Fall.
    25. Volij, Oscar & Prado, Maria, 2003. "Public Education, Communities, and Vouchers," Staff General Research Papers Archive 10127, Iowa State University, Department of Economics.
    26. J. Stephen Ferris & Edwin G. West, 2002. "Education Vouchers, the Peer Group Problem, and the Question of Dropouts," Southern Economic Journal, John Wiley & Sons, vol. 68(4), pages 774-793, April.
    27. Green, Colin P. & Navarro-Paniagua, María & Ximénez-de-Embún, Domingo P. & Mancebón, María-Jesús, 2014. "School choice and student wellbeing," Economics of Education Review, Elsevier, vol. 38(C), pages 139-150.
    28. William G. Howell, 2004. "Dynamic selection effects in means-tested, urban school voucher programs," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 23(2), pages 225-250.
    29. Tomori, Françeska, 2018. "Mixed Duopoly in Education with Vouchers," Working Papers 2072/306548, Universitat Rovira i Virgili, Department of Economics.
    30. Pablo González & Alejandra Mizala & Pilar Romaguera, 2002. "Recursos diferenciados a la educación subvencionada en Chile," Documentos de Trabajo 150, Centro de Economía Aplicada, Universidad de Chile.
    31. Lisa Barrow & Cecilia Elena Rouse, 2000. "Using Market Valuation to Assess the Importance and Efficiency of Public School Spending," Econometric Society World Congress 2000 Contributed Papers 1446, Econometric Society.
    32. William D. Savedoff, 1997. "Social Services Viewed Through New Lenses: Agency Problems in Education and Health in Latin America," Research Department Publications 3017, Inter-American Development Bank, Research Department.
    33. Takashi Oshio & Shinpei Sano & Yuko Ueno & Kouichiro Mino, 2010. "Evaluations by parents of education reforms: evidence from a parent survey in Japan," Education Economics, Taylor & Francis Journals, vol. 18(2), pages 229-246.
    34. Z. Chen & Edwin G. West, 1998. "Selective Versus Universal Vouchers: Modelling Median Voter Preferences in Education," Carleton Economic Papers 98-02, Carleton University, Department of Economics, revised Dec 2000.
    35. Lankford, Hamilton & Wyckoff, James, 2001. "Who Would Be Left Behind by Enhanced Private School Choice?," Journal of Urban Economics, Elsevier, vol. 50(2), pages 288-312, September.
    36. Hanushek Eric A & Sarpça Sinan & Yilmaz Kuzey, 2011. "Private Schools and Residential Choices: Accessibility, Mobility, and Welfare," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-34, August.
    37. Francisco A. Gallego, 2002. "Competencia y Resultados Educativos: Teoría y Evidencia para Chile," Working Papers Central Bank of Chile 150, Central Bank of Chile.
    38. Dennis Epple & Richard Romano, 2000. "Neighborhood Schools, Choice, and the Distribution of Educational Benefits," NBER Working Papers 7850, National Bureau of Economic Research, Inc.
    39. Thomas J. Nechyba, 1999. "A Model of Multiple Districts and Private Schools: The Role of Mobility, Targeting, and Private School Vouchers," NBER Working Papers 7239, National Bureau of Economic Research, Inc.
    40. Maria Marta Ferreyra, 2007. "Estimating the Effects of Private School Vouchers in Multidistrict Economies," American Economic Review, American Economic Association, vol. 97(3), pages 789-817, June.
    41. O'Shaughnessy, Terry, 2007. "Parental choice and school quality when peer and scale effects matter," Economics of Education Review, Elsevier, vol. 26(4), pages 501-515, August.
    42. McEwan, Patrick J., 2003. "Peer effects on student achievement: evidence from Chile," Economics of Education Review, Elsevier, vol. 22(2), pages 131-141, April.

  85. J. Dominitz & C. F. Manski, "undated". "Perceptions of economic vulnerability: First evidence from the survey of economic expectations," Institute for Research on Poverty Discussion Papers 1069-95, University of Wisconsin Institute for Research on Poverty.

    Cited by:

    1. Jingxiao Zhang & Haiyan Xie & Klaus Schmidt & Hui Li, 2015. "A New Systematic Approach to Vulnerability Assessment of Innovation Capability of Construction Enterprises," Sustainability, MDPI, vol. 8(1), pages 1-25, December.

Articles

  1. Charles F. Manski & Aleksey Tetenov, 2023. "Statistical decision theory respecting stochastic dominance," The Japanese Economic Review, Springer, vol. 74(4), pages 447-469, October.
    See citations under working paper version above.
  2. Manski, Charles F., 2023. "Probabilistic prediction for binary treatment choice: With focus on personalized medicine," Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663. See citations under working paper version above.
  3. Pamela Giustinelli & Charles F Manski & Francesca Molinari, 2022. "Precise or Imprecise Probabilities? Evidence from Survey Response Related to Late-Onset Dementia," Journal of the European Economic Association, European Economic Association, vol. 20(1), pages 187-221.

    Cited by:

    1. Jane Greve & Morten Saaby & Anders Rosdahl & Vibeke Tornhøj Christensen, 2021. "Uncertain occupational expectations at age 19 and later educational and labour market outcomes," LABOUR, CEIS, vol. 35(2), pages 163-191, June.
    2. Kerwin, Jason & Pandey, Divya, 2023. "Navigating Ambiguity: Imprecise Probabilities and the Updating of Disease Risk Beliefs," IZA Discussion Papers 16478, Institute of Labor Economics (IZA).
    3. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    4. Erdenesuren, Lkhagvaa, 2023. "Expectation, anticipation, and identification : Essays on subjective expectations and economic decision-making," Other publications TiSEM b9653e21-b96f-4bbe-8862-c, Tilburg University, School of Economics and Management.
    5. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.

  4. Dominitz, Jeff & Manski, Charles F., 2022. "Minimax-regret sample design in anticipation of missing data, with application to panel data," Journal of Econometrics, Elsevier, vol. 226(1), pages 104-114.

    Cited by:

    1. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.

  5. DeCanio, Stephen J. & Manski, Charles F. & Sanstad, Alan H., 2022. "Minimax-regret climate policy with deep uncertainty in climate modeling and intergenerational discounting," Ecological Economics, Elsevier, vol. 201(C).
    See citations under working paper version above.
  6. Giustinelli, Pamela & Manski, Charles F. & Molinari, Francesca, 2022. "Tail and center rounding of probabilistic expectations in the Health and Retirement Study," Journal of Econometrics, Elsevier, vol. 231(1), pages 265-281.
    See citations under working paper version above.
  7. Manski, Charles F. & Molinari, Francesca, 2021. "Estimating the COVID-19 infection rate: Anatomy of an inference problem," Journal of Econometrics, Elsevier, vol. 220(1), pages 181-192.
    See citations under working paper version above.
  8. Charles F. Manski, 2021. "Econometrics for Decision Making: Building Foundations Sketched by Haavelmo and Wald," Econometrica, Econometric Society, vol. 89(6), pages 2827-2853, November.
    See citations under working paper version above.
  9. Valentyn Litvin & Charles F. Manski, 2021. "Evaluating the maximum regret of statistical treatment rules with sample data on treatment response," Stata Journal, StataCorp LP, vol. 21(1), pages 97-122, March.

    Cited by:

    1. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.

  10. Manski, Charles F., 2020. "Forming COVID-19 Policy Under Uncertainty," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 11(3), pages 341-356, October.

    Cited by:

    1. Loic BERGER & Nicolas BERGER & Valentina BOSETTI & Itzhak GILBOA & Lars Peter HANSEN & Christopher JARVIS & Massimo MARINACCI & Richard D. Smith, 2020. "Rational policymaking during a pandemic," Working Papers 2020-iRisk-01, IESEG School of Management.
    2. Coroneo, Laura & Iacone, Fabrizio & Paccagnini, Alessia & Santos Monteiro, Paulo, 2023. "Testing the predictive accuracy of COVID-19 forecasts," International Journal of Forecasting, Elsevier, vol. 39(2), pages 606-622.
    3. Muller, Seán M., 2021. "The dangers of performative scientism as the alternative to anti-scientific policymaking: A critical, preliminary assessment of South Africa’s Covid-19 response and its consequences," World Development, Elsevier, vol. 140(C).
    4. Besley, Timothy & Stern, Nicholas, 2020. "The economics of lockdown," LSE Research Online Documents on Economics 107073, London School of Economics and Political Science, LSE Library.
    5. Jean Czerlinski Whitmore Ortega, 2022. "Learning with insufficient data: a multi-armed bandit perspective on covid-19 interventions," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 21(2), pages 183-193, November.
    6. Zhaohui Su, 2021. "Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights," IJERPH, MDPI, vol. 18(23), pages 1-17, November.
    7. Rebecca Forman & Elias Mossialos, 2021. "The EU Response to COVID‐19: From Reactive Policies to Strategic Decision‐Making," Journal of Common Market Studies, Wiley Blackwell, vol. 59(S1), pages 56-68, September.
    8. Dimitris Zavras, 2021. "Feeling Uncertainty during the Lockdown That Commenced in March 2020 in Greece," IJERPH, MDPI, vol. 18(10), pages 1-10, May.
    9. Dimitris Zavras, 2021. "Studying Satisfaction with the Restriction Measures Implemented in Greece during the First COVID-19 Pandemic Wave," World, MDPI, vol. 2(3), pages 1-12, July.

  11. Charles F. Manski, 2020. "Judicial and Clinical Decision-Making under Uncertainty," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 176(1), pages 33-43.

    Cited by:

    1. Manski, Charles F., 2023. "Probabilistic prediction for binary treatment choice: With focus on personalized medicine," Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.

  12. Charles F. Manski, 2020. "Towards Reasonable Patient Care Under Uncertainty," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 227-245, April.

    Cited by:

    1. Günther Fink & Margaret McConnell & Bich Diep Nguyen, 2021. "Learn or react? An experimental study of preventive health decision making," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 206-237, March.

  13. Manski, Charles F., 2020. "The lure of incredible certitude," Economics and Philosophy, Cambridge University Press, vol. 36(2), pages 216-245, July.
    See citations under working paper version above.
  14. Charles F. Manski & Aleksey Tetenov, 2019. "Trial Size for Near-Optimal Choice Between Surveillance and Aggressive Treatment: Reconsidering MSLT-II," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 305-311, March.

    Cited by:

    1. Manski, Charles F., 2023. "Probabilistic prediction for binary treatment choice: With focus on personalized medicine," Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
    2. Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.
    3. Azevedo, Eduardo M. & Mao, David & Montiel Olea, José Luis & Velez, Amilcar, 2023. "The A/B testing problem with Gaussian priors," Journal of Economic Theory, Elsevier, vol. 210(C).
    4. John Mullahy, 2018. "Treatment Effects with Multiple Outcomes," NBER Working Papers 25307, National Bureau of Economic Research, Inc.
    5. Yuchen Hu & Henry Zhu & Emma Brunskill & Stefan Wager, 2024. "Minimax-Regret Sample Selection in Randomized Experiments," Papers 2403.01386, arXiv.org.
    6. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.
    7. Seungjin Han & Julius Owusu & Youngki Shin, 2022. "Statistical Treatment Rules under Social Interaction," Papers 2209.09077, arXiv.org, revised Nov 2022.

  15. Charles F. Manski, 2019. "Communicating uncertainty in policy analysis," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(16), pages 7634-7641, April.

    Cited by:

    1. Funke, Franziska & Mattauch, Linus & Klenert, David & O'Callaghan, Brian, 2020. "Five lessons from COVID-19 for advancing climate change mitigation," INET Oxford Working Papers 2020-16, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    2. Ilaria Benedetti & Gianni Betti & Federico Crescenzi, 2020. "Measuring Child Poverty and Its Uncertainty: A Case Study of 33 European Countries," Sustainability, MDPI, vol. 12(19), pages 1-12, October.
    3. D'Alberto, Riccardo & Zavalloni, Matteo & Raggi, Meri & Viaggi, Davide, 2021. "A Statistical Matching approach to reproduce the heterogeneity of willingness to pay in benefit transfer," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    4. Kikuko Shoyama, 2021. "Assessment of Land-Use Scenarios at a National Scale Using Intensity Analysis and Figure of Merit Components," Land, MDPI, vol. 10(4), pages 1-13, April.
    5. Yuxue Yang & Xuejiao Tan & Yafei Shi & Jun Deng, 2023. "What are the core concerns of policy analysis? A multidisciplinary investigation based on in-depth bibliometric analysis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    6. Herzog, Bodo, 2019. "Optimal policy under uncertainty and rational inattention," Research in International Business and Finance, Elsevier, vol. 50(C), pages 444-449.
    7. Philipp Eisenhauer & Janos Gabler & Lena Janys, 2021. "Structural Models for Policy-Making: Coping with Parametric Uncertainty," ECONtribute Discussion Papers Series 082, University of Bonn and University of Cologne, Germany.
    8. Eisenhauer, Philipp & Gabler, Janos & Janys, Lena, 2021. "Structural Models for Policy-Making: Coping with Parametric Uncertainty," IZA Discussion Papers 14317, Institute of Labor Economics (IZA).

  16. Charles F. Manski, 2019. "Treatment Choice With Trial Data: Statistical Decision Theory Should Supplant Hypothesis Testing," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 296-304, March.

    Cited by:

    1. Manski, Charles F., 2023. "Probabilistic prediction for binary treatment choice: With focus on personalized medicine," Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
    2. Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.
    3. Bhatt, Monica & Heller, Sara & Kapustin, Max & Bertrand, Marianne & Blattman, Christopher, 2023. "Predicting and Preventing Gun Violence: An Experimental Evaluation of READI Chicago," SocArXiv dks29, Center for Open Science.
    4. Azevedo, Eduardo M. & Mao, David & Montiel Olea, José Luis & Velez, Amilcar, 2023. "The A/B testing problem with Gaussian priors," Journal of Economic Theory, Elsevier, vol. 210(C).
    5. Andrews, Brendon P., 2023. "Economic Evaluation under Ambiguity and Structural Uncertainties," Working Papers 2023-9, University of Alberta, Department of Economics, revised 05 Apr 2024.
    6. Jeff Dominitz & Charles F. Manski, 2024. "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers 2403.11016, arXiv.org.
    7. Troost, Christian & Huber, Robert & Bell, Andrew R. & van Delden, Hedwig & Filatova, Tatiana & Le, Quang Bao & Lippe, Melvin & Niamir, Leila & Polhill, J. Gareth & Sun, Zhanli & Berger, Thomas, 2023. "How to keep it adequate: A protocol for ensuring validity in agent-based simulation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 159, pages 1-21.
    8. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.
    9. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    10. Weili Ding, 2020. "Laboratory experiments can pre-design to address power and selection issues," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 125-138, December.
    11. Charles F. Manski, 2019. "Remarks on statistical inference for statistical decisions," CeMMAP working papers CWP06/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  17. Charles F. Manski & Anat R. Tambur & Michael Gmeiner, 2019. "Predicting kidney transplant outcomes with partial knowledge of HLA mismatch," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(41), pages 20339-20345, October.

    Cited by:

    1. Sheyu Li & Valentyn Litvin & Charles F. Manski, 2022. "Partial Identification of Personalized Treatment Response with Trial-reported Analyses of Binary Subgroups," Papers 2208.03381, arXiv.org, revised Sep 2022.
    2. Itai Ashlagi & Alvin E. Roth, 2021. "Kidney Exchange: An Operations Perspective," NBER Working Papers 28500, National Bureau of Economic Research, Inc.
    3. Charles F. Manski, 2022. "Inference with Imputed Data: The Allure of Making Stuff Up," Papers 2205.07388, arXiv.org.
    4. Charles F Manski & Michael Gmeiner & Anat Tamburc, 2021. "Misguided Use of Observed Covariates to Impute Missing Covariates in Conditional Prediction: A Shrinkage Problem," Papers 2102.11334, arXiv.org.

  18. Rachel Cassidy & Charles F. Manski, 2019. "Tuberculosis diagnosis and treatment under uncertainty," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(46), pages 22990-22997, November.

    Cited by:

    1. Cordier, J.; & Salvi, I.; & Steinbeck, V.; & Geissler, A.; & Vogel, J.;, 2023. "Is rapid recovery always the best recovery? - Developing a machine learning approach for optimal assignment rules under capacity constraints for knee replacement patients," Health, Econometrics and Data Group (HEDG) Working Papers 23/08, HEDG, c/o Department of Economics, University of York.
    2. Michael Allan Ribers & Hannes Ullrich, 2020. "Machine Predictions and Human Decisions with Variation in Payoffs and Skill," Papers 2011.11017, arXiv.org.
    3. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Feb 2024.

  19. Charles F. Manski & John V. Pepper, 2018. "How Do Right-to-Carry Laws Affect Crime Rates? Coping with Ambiguity Using Bounded-Variation Assumptions," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 232-244, May.
    See citations under working paper version above.
  20. Charles F. Manski, 2018. "Reasonable patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1397-1421, October.

    Cited by:

    1. Charles F. Manski, 2022. "Patient‐centered appraisal of race‐free clinical risk assessment," Health Economics, John Wiley & Sons, Ltd., vol. 31(10), pages 2109-2114, October.
    2. Emma McIntosh, 2018. "Comment: Decentralized decision making through adaptive minimax regret—Complex yet intuitively appealing," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1428-1430, October.
    3. Juerg Schweri, 2021. "Predicting polytomous career choices in healthcare using probabilistic expectations data," Health Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 544-563, March.
    4. Valentyn Litvin, 2020. "When ignorance is bliss: Intentional agnosticism in drug approval," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 185-194, February.
    5. John Mullahy, 2018. "Treatment Effects with Multiple Outcomes," NBER Working Papers 25307, National Bureau of Economic Research, Inc.
    6. David Epstein, 2019. "Beyond the cost‐effectiveness acceptability curve: The appropriateness of rank probabilities for presenting the results of economic evaluation in multiple technology appraisal," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 801-807, June.
    7. Andrews, Brendon P., 2023. "Economic Evaluation under Ambiguity and Structural Uncertainties," Working Papers 2023-9, University of Alberta, Department of Economics, revised 05 Apr 2024.
    8. Dahlstrand Rudin, Amanda, 2022. "Defying distance? The provision of services in the digital age," LSE Research Online Documents on Economics 118042, London School of Economics and Political Science, LSE Library.
    9. Per Magnus Mæhle & Ingrid Kristine Small Hanto & Sigbjørn Smeland, 2020. "Practicing Integrated Care Pathways in Norwegian Hospitals: Coordination through Industrialized Standardization, Value Chains, and Quality Management or an Organizational Equivalent to Improvised Jazz," IJERPH, MDPI, vol. 17(24), pages 1-32, December.
    10. Charles F. Manski, 2023. "Using Limited Trial Evidence to Credibly Choose Treatment Dosage when Efficacy and Adverse Effects Weakly Increase with Dose," Papers 2305.17206, arXiv.org.
    11. Charles F. Manski, 2019. "Meta-Analysis for Medical Decisions," NBER Working Papers 25504, National Bureau of Economic Research, Inc.
    12. Anirban Basu, 2018. "Comment: Manski's views on patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1422-1424, October.
    13. Luca Panzone & Guy Garrod & Felice Adinolfi & Jorgelina Di Pasquale, 2022. "Molecular marketing, personalised information and willingness‐to‐pay for functional foods: Vitamin D enriched eggs," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 666-689, September.
    14. Amanda Dahlstrand, 2022. "Defying distance? The provision of services in the digital age," CEP Discussion Papers dp1889, Centre for Economic Performance, LSE.
    15. John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1050-1069, May.

  21. Charles F. Manski, 2018. "Credible ecological inference for medical decisions with personalized risk assessment," Quantitative Economics, Econometric Society, vol. 9(2), pages 541-569, July.

    Cited by:

    1. Manski, Charles F., 2023. "Probabilistic prediction for binary treatment choice: With focus on personalized medicine," Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
    2. Sheyu Li & Valentyn Litvin & Charles F. Manski, 2022. "Partial Identification of Personalized Treatment Response with Trial-reported Analyses of Binary Subgroups," Papers 2208.03381, arXiv.org, revised Sep 2022.
    3. Jeff Dominitz & Charles F. Manski, 2024. "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers 2403.11016, arXiv.org.
    4. Charles F. Manski, 2018. "Reasonable patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1397-1421, October.
    5. John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1050-1069, May.
    6. Charles F Manski & Michael Gmeiner & Anat Tamburc, 2021. "Misguided Use of Observed Covariates to Impute Missing Covariates in Conditional Prediction: A Shrinkage Problem," Papers 2102.11334, arXiv.org.

  22. Charles F. Manski, 2018. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Macroeconomics Annual, University of Chicago Press, vol. 32(1), pages 411-471.
    See citations under working paper version above.
  23. Pamela Giustinelli & Charles F. Manski, 2018. "Survey Measures Of Family Decision Processes For Econometric Analysis Of Schooling Decisions," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 81-99, January.

    Cited by:

    1. Jane Greve & Morten Saaby & Anders Rosdahl & Vibeke Tornhøj Christensen, 2021. "Uncertain occupational expectations at age 19 and later educational and labour market outcomes," LABOUR, CEIS, vol. 35(2), pages 163-191, June.
    2. Giustinelli, Pamela & Manski, Charles F. & Molinari, Francesca, 2022. "Tail and center rounding of probabilistic expectations in the Health and Retirement Study," Journal of Econometrics, Elsevier, vol. 231(1), pages 265-281.
    3. Marco Alfano & Joseph-Simon Gorlach, 2019. "Terrorism, education and the role of expectations: evidence from al-Shabaab attacks in Kenya," Working Papers 1904, University of Strathclyde Business School, Department of Economics.
    4. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    5. Nik Stoop & Marijke Verpoorten & Peter Van Der Windt, 2019. "Artisanal or Industrial Conflict Minerals? Evidence from Eastern Congo," HiCN Working Papers 309, Households in Conflict Network.
    6. David M. Ramsey, 2020. "A Game Theoretic Model of Choosing a Valuable Good via a Short List Heuristic," Mathematics, MDPI, vol. 8(2), pages 1-20, February.
    7. Pamela Giustinelli & Matthew D. Shapiro, 2018. "SeaTE: Subjective ex ante Treatment Effect of Health on Retirement," Working Papers wp382, University of Michigan, Michigan Retirement Research Center.
    8. Boneva, T. & Golin, M. & Rauh, C., 2021. "Can Perceived Returns Explain Enrollment Gaps in Postgraduate Education?," Cambridge Working Papers in Economics 2140, Faculty of Economics, University of Cambridge.
    9. Conti, G. & Giustinelli, P., 2023. "For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior: An application to lockdown compliance in the United Kingdom," Health, Econometrics and Data Group (HEDG) Working Papers 23/05, HEDG, c/o Department of Economics, University of York.
    10. Conti, Gabriella & Giustinelli, Pamela, 2023. "For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior," IZA Discussion Papers 16143, Institute of Labor Economics (IZA).
    11. Pamela Giustinelli & Nicola Pavoni, 2017. "Online Appendix to "The Evolution of Awareness and Belief Ambiguity in the Process of High School Track Choice"," Online Appendices 16-101, Review of Economic Dynamics.
    12. Madeira, Carlos, 2020. "Learning your own ability," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    13. Nina Drange & Kjetil Telle, 2018. "Universal child care and inequality of opportunity. Descriptive findings from Norway," Discussion Papers 880, Statistics Norway, Research Department.
    14. Arpita Patnaik & Matthew J. Wiswall & Basit Zafar, 2020. "College Majors," NBER Working Papers 27645, National Bureau of Economic Research, Inc.
    15. Francesco Decarolis & Leonardo M Giuffrida & Elisabetta Iossa & Vincenzo Mollisi & Giancarlo Spagnolo, 2020. "Bureaucratic Competence and Procurement Outcomes [“Politics and Economics in Weak and Strong States]," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 36(3), pages 537-597.

  24. Charles F. Manski, 2018. "Response to commentaries on “Reasonable patient care under uncertainty”," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1431-1434, October.

    Cited by:

    1. Charles F. Manski, 2022. "Patient‐centered appraisal of race‐free clinical risk assessment," Health Economics, John Wiley & Sons, Ltd., vol. 31(10), pages 2109-2114, October.
    2. Emma McIntosh, 2018. "Comment: Decentralized decision making through adaptive minimax regret—Complex yet intuitively appealing," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1428-1430, October.
    3. Juerg Schweri, 2021. "Predicting polytomous career choices in healthcare using probabilistic expectations data," Health Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 544-563, March.
    4. Valentyn Litvin, 2020. "When ignorance is bliss: Intentional agnosticism in drug approval," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 185-194, February.
    5. John Mullahy, 2018. "Treatment Effects with Multiple Outcomes," NBER Working Papers 25307, National Bureau of Economic Research, Inc.
    6. David Epstein, 2019. "Beyond the cost‐effectiveness acceptability curve: The appropriateness of rank probabilities for presenting the results of economic evaluation in multiple technology appraisal," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 801-807, June.
    7. Andrews, Brendon P., 2023. "Economic Evaluation under Ambiguity and Structural Uncertainties," Working Papers 2023-9, University of Alberta, Department of Economics, revised 05 Apr 2024.
    8. Dahlstrand Rudin, Amanda, 2022. "Defying distance? The provision of services in the digital age," LSE Research Online Documents on Economics 118042, London School of Economics and Political Science, LSE Library.
    9. Per Magnus Mæhle & Ingrid Kristine Small Hanto & Sigbjørn Smeland, 2020. "Practicing Integrated Care Pathways in Norwegian Hospitals: Coordination through Industrialized Standardization, Value Chains, and Quality Management or an Organizational Equivalent to Improvised Jazz," IJERPH, MDPI, vol. 17(24), pages 1-32, December.
    10. Charles F. Manski, 2023. "Using Limited Trial Evidence to Credibly Choose Treatment Dosage when Efficacy and Adverse Effects Weakly Increase with Dose," Papers 2305.17206, arXiv.org.
    11. Anirban Basu, 2018. "Comment: Manski's views on patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1422-1424, October.
    12. Luca Panzone & Guy Garrod & Felice Adinolfi & Jorgelina Di Pasquale, 2022. "Molecular marketing, personalised information and willingness‐to‐pay for functional foods: Vitamin D enriched eggs," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 666-689, September.
    13. Amanda Dahlstrand, 2022. "Defying distance? The provision of services in the digital age," CEP Discussion Papers dp1889, Centre for Economic Performance, LSE.
    14. John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1050-1069, May.

  25. Charles F. Manski, 2017. "Optimize, satisfice, or choose without deliberation? A simple minimax-regret assessment," Theory and Decision, Springer, vol. 83(2), pages 155-173, August.

    Cited by:

    1. da Silveira, Jaylson Jair & Lima, Gilberto Tadeu, 2021. "Wage inequality as a source of endogenous macroeconomic fluctuations," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 35-52.
    2. Yudistira Permana, 2020. "Explaining satisficing through risk aversion," Theory and Decision, Springer, vol. 89(4), pages 503-525, November.
    3. González-Valdés, Felipe & Ortúzar, Juan de Dios, 2018. "The Stochastic Satisficing model: A bounded rationality discrete choice model," Journal of choice modelling, Elsevier, vol. 27(C), pages 74-87.
    4. Daniela Cagno & Arianna Galliera & Werner Güth & Noemi Pace, 2018. "Behavioral patterns and reduction of sub-optimality: an experimental choice analysis," Theory and Decision, Springer, vol. 85(2), pages 151-177, August.
    5. Sandorf, Erlend Dancke & Campbell, Danny, 2016. "Accommodating satisficing behavior in stated choice experiments," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235905, Agricultural and Applied Economics Association.
    6. John D. Hey & Yudistira Permana & Nuttaporn Rochanahastin, 2018. "When and how to satisfice: an experimental investigation," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 5, pages 121-137, World Scientific Publishing Co. Pte. Ltd..
    7. Ardalan, Kavous, 2018. "Neurofinance versus the efficient markets hypothesis," Global Finance Journal, Elsevier, vol. 35(C), pages 170-176.
    8. Gonzalez-Valdes, Felipe & Heydecker, Benjamin G. & Ortúzar, Juan de Dios, 2022. "Quantifying behavioural difference in latent class models to assess empirical identifiability: Analytical development and application to multiple heuristics," Journal of choice modelling, Elsevier, vol. 43(C).
    9. Mikołaj Czajkowski & Ewa Zawojska & Norman Meade & Ronaldo Seroa da Motta & Mike Welsh & Ramon Arigoni Ortiz, 2022. "On the inference about willingness to pay distribution using contingent valuation data," Working Papers 2022-08, Faculty of Economic Sciences, University of Warsaw.
    10. Daniela Di Cagno & Werner Güth & Noemi Pace, 2021. "Experimental evidence of behavioral improvement by learning and intermediate advice," Theory and Decision, Springer, vol. 91(2), pages 173-187, September.

  26. Charles F. Manski & Max Tabord-Meehan, 2017. "Evaluating the maximum MSE of mean estimators with missing data," Stata Journal, StataCorp LP, vol. 17(3), pages 723-735, September.

    Cited by:

    1. Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.
    2. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.

  27. Jeff Dominitz & Charles F. Manski, 2017. "More Data or Better Data? A Statistical Decision Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(4), pages 1583-1605.

    Cited by:

    1. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2020. "The Insights and Illusions of Consumption Measurements," IZA Discussion Papers 13222, Institute of Labor Economics (IZA).
    2. Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016. "Optimal Data Collection for Randomized Control Trials," IZA Discussion Papers 9908, Institute of Labor Economics (IZA).
    3. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2023. "The insights and illusions of consumption measurements," Journal of Development Economics, Elsevier, vol. 161(C).
    4. Pëllumb Reshidi & Alessandro Lizzeri & Leeat Yariv & Jimmy Chan & Wing Suen, 2021. "Individual and Collective Information Acquisition: An Experimental Study," CESifo Working Paper Series 9468, CESifo.
    5. Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.
    6. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.
    7. Jeff Dominitz & Charles F. Manski, 2024. "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers 2403.11016, arXiv.org.
    8. Pëllumb Reshidi & Alessandro Lizzeri & Leeat Yariv & Jimmy Chan & Wing Suen, 2022. "Individual and Collective Information Acquisition: An Experimental Study," Working Papers 312, Princeton University, Department of Economics, Center for Economic Policy Studies..
    9. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.
    11. Dominitz, Jeff & Manski, Charles F., 2022. "Minimax-regret sample design in anticipation of missing data, with application to panel data," Journal of Econometrics, Elsevier, vol. 226(1), pages 104-114.
    12. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Charles F. Manski, 2019. "Meta-Analysis for Medical Decisions," NBER Working Papers 25504, National Bureau of Economic Research, Inc.
    14. Charles F. Manski, 2022. "Inference with Imputed Data: The Allure of Making Stuff Up," Papers 2205.07388, arXiv.org.
    15. Charles F. Manski, 2019. "Remarks on statistical inference for statistical decisions," CeMMAP working papers CWP06/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  28. Charles F. Manski, 2017. "Mandating vaccination with unknown indirect effects," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 19(3), pages 603-619, June.

    Cited by:

    1. Christian Gollier, 2020. "Cost–benefit analysis of age‐specific deconfinement strategies," Post-Print hal-03156641, HAL.
    2. V. Masson & S. Choi & A. Moore & M. Oak, 2018. "A model of informal favor exchange on networks," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 20(5), pages 639-656, October.
    3. Goodkin-Gold, Matthew & Kremer, Michael & Snyder, Christopher M. & Williams, Heidi, 2022. "Optimal vaccine subsidies for endemic diseases," International Journal of Industrial Organization, Elsevier, vol. 84(C).
    4. Matthew Goodkin-Gold & Michael Kremer & Christopher M. Snyder & Heidi L. Williams, 2020. "Optimal Vaccine Subsidies for Endemic and Epidemic Diseases," Working Papers 2020-162, Becker Friedman Institute for Research In Economics.
    5. Jelnov, Artyom & Jelnov, Pavel, 2021. "Vaccination Policy and Trust," GLO Discussion Paper Series 1003, Global Labor Organization (GLO).
    6. Andrews, Brendon P., 2023. "Economic Evaluation under Ambiguity and Structural Uncertainties," Working Papers 2023-9, University of Alberta, Department of Economics, revised 05 Apr 2024.
    7. Rabah Amir & Raouf Boucekkine, 2022. "Introduction to the special issue on new insights into economic epidemiology: Theory and policy," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(5), pages 861-872, October.
    8. Luca Gori & Cristiana Mammana & Piero Manfredi & Elisabetta Michetti, 2022. "Economic development with deadly communicable diseases and public prevention," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(5), pages 912-943, October.
    9. Julio Emilio Marco-Franco & Pedro Pita-Barros & Silvia González-de-Julián & Iryna Sabat & David Vivas-Consuelo, 2021. "Simplified Mathematical Modelling of Uncertainty: Cost-Effectiveness of COVID-19 Vaccines in Spain," Mathematics, MDPI, vol. 9(5), pages 1-15, March.
    10. Charles F. Manski, 2018. "Response to commentaries on “Reasonable patient care under uncertainty”," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1431-1434, October.
    11. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    12. Charles F. Manski, 2021. "Vaccination Planning under Uncertainty, with Application to Covid-19," NBER Working Papers 28446, National Bureau of Economic Research, Inc.

  29. Manski, Charles F., 2016. "Interpreting Point Predictions: Some Logical Issues," Foundations and Trends(R) in Accounting, now publishers, vol. 10(2-4), pages 238-261, August.

    Cited by:

    1. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    2. Patrick Schmidt & Matthias Katzfuss & Tilmann Gneiting, 2021. "Interpretation of point forecasts with unknown directive," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 728-743, September.
    3. Charles F. Manski, 2019. "Meta-Analysis for Medical Decisions," NBER Working Papers 25504, National Bureau of Economic Research, Inc.
    4. Stephen J. DeCanio & Charles F. Manski & Alan H. Sanstad, 2022. "Minimax-Regret Climate Policy with Deep Uncertainty in Climate Modeling and Intergenerational Discounting," NBER Working Papers 29716, National Bureau of Economic Research, Inc.

  30. Manski, Charles F., 2016. "Credible interval estimates for official statistics with survey nonresponse," Journal of Econometrics, Elsevier, vol. 191(2), pages 293-301.

    Cited by:

    1. Ana Galvao & James Mitchell, 2021. "Communicating Data Uncertainty: Multi-Wave Experimental Evidence for U.K. GDP," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-06, Economic Statistics Centre of Excellence (ESCoE).
    2. Ana Beatriz Galvão & James Mitchell, 2019. "Measuring Data Uncertainty: An Application using the Bank of England's "Fan Charts" for Historical GDP Growth," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-08, Economic Statistics Centre of Excellence (ESCoE).
    3. Galvao, Ana Beatriz & Mitchell, James & Runge, Johnny, 2019. "Communicating Data Uncertainty: Experimental Evidence for U.K. GDP," EMF Research Papers 30, Economic Modelling and Forecasting Group.
    4. Ana Beatriz Galvão & James Mitchell, 2023. "Real‐Time Perceptions of Historical GDP Data Uncertainty," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 457-481, June.
    5. Mazzi Gian Luigi & Mitchell James & Carausu Florabela, 2021. "Measuring and Communicating the Uncertainty in Official Economic Statistics," Journal of Official Statistics, Sciendo, vol. 37(2), pages 289-316, June.
    6. van der Bles, Anne Marthe & van der Liden, Sander & Freeman, Alessandra L. J. & Mitchell, James & Galvao, Ana Beatriz & Spiegelhalter, David J., 2019. "Communicating uncertainty about facts, numbers, and science," EMF Research Papers 22, Economic Modelling and Forecasting Group.
    7. Zachary H. Seeskin, 2016. "Evaluating the Use of Commercial Data to Improve Survey Estimates of Property Taxes," CARRA Working Papers 2016-06, Center for Economic Studies, U.S. Census Bureau.
    8. Charles F. Manski, 2022. "Inference with Imputed Data: The Allure of Making Stuff Up," Papers 2205.07388, arXiv.org.
    9. Fakih, Ali & Makdissi, Paul & Marrouch, Walid & Tabri, Rami V. & Yazbeck, Myra, 2022. "A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions," Journal of Econometrics, Elsevier, vol. 228(2), pages 342-358.
    10. Andridge Rebecca R. & Little Roderick J.A., 2020. "Proxy Pattern-Mixture Analysis for a Binary Variable Subject to Nonresponse," Journal of Official Statistics, Sciendo, vol. 36(3), pages 703-728, September.

  31. Charles F. Manski, 2015. "Communicating Uncertainty in Official Economic Statistics: An Appraisal Fifty Years after Morgenstern," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 631-653, September.

    Cited by:

    1. Hobler, Stephan, 2022. "Multi-layered rational inattention and time-varying volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    2. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2020. "The Insights and Illusions of Consumption Measurements," IZA Discussion Papers 13222, Institute of Labor Economics (IZA).
    3. Markandya, Anil & Arto, Iñaki & González-Eguino, Mikel & Román, Maria V., 2016. "Towards a green energy economy? Tracking the employment effects of low-carbon technologies in the European Union," Applied Energy, Elsevier, vol. 179(C), pages 1342-1350.
    4. Ana Galvao & James Mitchell, 2021. "Communicating Data Uncertainty: Multi-Wave Experimental Evidence for U.K. GDP," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-06, Economic Statistics Centre of Excellence (ESCoE).
    5. Ana Beatriz Galvão & James Mitchell, 2019. "Measuring Data Uncertainty: An Application using the Bank of England's "Fan Charts" for Historical GDP Growth," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-08, Economic Statistics Centre of Excellence (ESCoE).
    6. Galvao, Ana Beatriz & Mitchell, James & Runge, Johnny, 2019. "Communicating Data Uncertainty: Experimental Evidence for U.K. GDP," EMF Research Papers 30, Economic Modelling and Forecasting Group.
    7. Knüppel, Malte & Krüger, Fabian, 2017. "Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168294, Verein für Socialpolitik / German Economic Association.
    8. Ana Beatriz Galvão & James Mitchell, 2023. "Real‐Time Perceptions of Historical GDP Data Uncertainty," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 457-481, June.
    9. Peter ven de Ven & Anne Harrison & Barbara Fraumeni & Diane Coyle, 2017. "The Future of the National Accounts: Statistics and the Democratic Conversation My thanks to Dave Giles, James Grant, Magnus Henrekson, Johannes Hirata, Alice Nakamura, Peter Sinclair and Geoff Tily f," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63, pages 223-237, December.
    10. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2023. "The insights and illusions of consumption measurements," Journal of Development Economics, Elsevier, vol. 161(C).
    11. Dionissi Aliprantis & Kristen Tauber, 2020. "Measuring Deaths from COVID-19," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2020(18), pages 1-7, July.
    12. Dionissi Aliprantis & Daniel R. Carroll & Eric Young, 2021. "The Racial Wealth Gap and Access to Opportunity Neighborhoods," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2021(18), pages 1-5, September.
    13. Mazzi Gian Luigi & Mitchell James & Carausu Florabela, 2021. "Measuring and Communicating the Uncertainty in Official Economic Statistics," Journal of Official Statistics, Sciendo, vol. 37(2), pages 289-316, June.
    14. Loretta J. Mester, 2016. "Acknowledging Uncertainty, 10-07-2016; Shadow Open Market Committee Fall Meeting, New York, NY," Speech 77, Federal Reserve Bank of Cleveland.
    15. Peter A.G. van Bergeijk, 2017. "Making Data Measurement Errors Transparent: The Case of the IMF," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 18(3), pages 133-154, July.
    16. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    17. Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.
    18. Ilaria Benedetti & Federico Crescenzi & Tiziana Laureti, 2020. "Measuring Uncertainty for Poverty Indicators at Regional Level: The Case of Mediterranean Countries," Sustainability, MDPI, vol. 12(19), pages 1-19, October.
    19. Dionissi Aliprantis & Kristen Tauber & Hal Martin, 2022. "What Determines the Success of Housing Mobility Programs?," Working Papers 2022-043, Human Capital and Economic Opportunity Working Group.
    20. Dionissi Aliprantis & Hal Martin, 2020. "Neighborhood Sorting Obscures Neighborhood Effects in the Opportunity Atlas," Working Papers 20-37, Federal Reserve Bank of Cleveland.
    21. Binswanger, Johannes & Oechslin, Manuel, 2020. "Better statistics, better economic policies?," European Economic Review, Elsevier, vol. 130(C).
    22. Dichev, Ilia & Huang, Xinyi & Lee, Donald K.K & Zhao, Jianxin, 2023. "You have a point - but a point is not enough: The case for distributional forecasts of earnings," SocArXiv 4b2y8, Center for Open Science.
    23. Feige, Edgar L., 2015. "Reflections on the meaning and measurement of Unobserved Economies: What do we really know about the “Shadow Economy”?," MPRA Paper 68466, University Library of Munich, Germany.
    24. Ilaria Benedetti & Gianni Betti & Federico Crescenzi, 2020. "Measuring Child Poverty and Its Uncertainty: A Case Study of 33 European Countries," Sustainability, MDPI, vol. 12(19), pages 1-12, October.
    25. Meyer, Bruce D. & Mittag, Nikolas, 2021. "An empirical total survey error decomposition using data combination," Journal of Econometrics, Elsevier, vol. 224(2), pages 286-305.
    26. van der Bles, Anne Marthe & van der Liden, Sander & Freeman, Alessandra L. J. & Mitchell, James & Galvao, Ana Beatriz & Spiegelhalter, David J., 2019. "Communicating uncertainty about facts, numbers, and science," EMF Research Papers 22, Economic Modelling and Forecasting Group.
    27. Manuel Oechslin & Elias Steiner, 2022. "Statistical capacity and corrupt bureaucracies," The Review of International Organizations, Springer, vol. 17(1), pages 143-174, January.
    28. Dennis J. Fixler & Eva de Francisco & Danit Kanal, 2021. "The Revisions to GDP, GDI, and Their Major Components," Survey of Current Business, Bureau of Economic Analysis, vol. 101(1), pages 1-3, January.
    29. Zachary H. Seeskin, 2016. "Evaluating the Use of Commercial Data to Improve Survey Estimates of Property Taxes," CARRA Working Papers 2016-06, Center for Economic Studies, U.S. Census Bureau.
    30. Herzog, Bodo, 2019. "Optimal policy under uncertainty and rational inattention," Research in International Business and Finance, Elsevier, vol. 50(C), pages 444-449.
    31. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    32. M. E. Bontempi & R. Golinelli & M. Squadrani, 2016. "A New Index of Uncertainty Based on Internet Searches: A Friend or Foe of Other Indicators?," Working Papers wp1062, Dipartimento Scienze Economiche, Universita' di Bologna.
    33. Ronald B. Davies & Joseph Francois, 2018. "Making the Worst of a Bad Situation: A Note on Irexit," The Economic and Social Review, Economic and Social Studies, vol. 49(4), pages 455-462.
    34. Aljoscha Minnich & Hauke Roggenkamp & Andreas Lange, 2023. "Ambiguity Attitudes and Surprises: Experimental Evidence on Communicating New Information within a Large Population Sample," CESifo Working Paper Series 10783, CESifo.
    35. Malte Knüppel & Fabian Krüger, 2022. "Forecast uncertainty, disagreement, and the linear pool," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 23-41, January.
    36. Peter A.G. van Bergeijk, 2019. "Deglobalization 2.0," Books, Edward Elgar Publishing, number 18560.

  32. Charles F. Manski, 2014. "Choosing Size of Government Under Ambiguity: Infrastructure Spending and Income Taxation," Economic Journal, Royal Economic Society, vol. 0(576), pages 359-376, May.
    See citations under working paper version above.
  33. Charles F. Manski, 2014. "Identification of income–leisure preferences and evaluation of income tax policy," Quantitative Economics, Econometric Society, vol. 5, pages 145-174, March.
    See citations under working paper version above.
  34. Charles F. Manski, 2013. "Status Quo Deference and Policy Choice under Ambiguity," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 169(1), pages 116-128, March.

    Cited by:

    1. Epstein, Larry G. & Seo, Kyoungwon, 2015. "Exchangeable capacities, parameters and incomplete theories," Journal of Economic Theory, Elsevier, vol. 157(C), pages 879-917.
    2. Catherine Hafer & Dimitri Landa, 2013. "Issue Advocacy and Mass Political Sophistication," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 169(1), pages 139-152, March.
    3. Stanca, Lorenzo, 2021. "Smooth aggregation of Bayesian experts," Journal of Economic Theory, Elsevier, vol. 196(C).

  35. Charles F. Manski, 2013. "Response to the Review of ‘Public Policy in an Uncertain World’," Economic Journal, Royal Economic Society, vol. 0, pages 412-415, August.

    Cited by:

    1. Hao Bo & Sebastian Galiani, 2019. "Assessing External Validity," NBER Working Papers 26422, National Bureau of Economic Research, Inc.
    2. Naruhisa Nakane & Ichiro Wada, 2022. "Estimating the Social Costs of Child Abuse in Residential Care for Children with Disabilities Using the Japanese Survey on the Interactions of Adverse and Positive Childhood Experiences toward Adultho," IJERPH, MDPI, vol. 19(24), pages 1-9, December.
    3. Ottaviani, Marco & Di Tillio, Alfredo & Sørensen, Peter Norman, 2016. "Persuasion Bias in Science: Can Economics Help?," CEPR Discussion Papers 11343, C.E.P.R. Discussion Papers.
    4. Koppelaar, Rembrandt H.E.M. & Keirstead, James & Shah, Nilay & Woods, Jeremy, 2016. "A review of policy analysis purpose and capabilities of electricity system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1531-1544.
    5. Dionissi Aliprantis, 2012. "Assessing the evidence on neighborhood effects from Moving to Opportunity," Working Papers (Old Series) 1122R, Federal Reserve Bank of Cleveland.
    6. T. N. Srinivasan, 2014. "Development Process: A Manual or a Collection of Anecdotes?," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 15(4), pages 418-423, November.
    7. Eric Danan & Thibault Gajdos & Brian Hill & Jean-Marc Tallon, 2014. "Aggregating Tastes, Beliefs, and Attitudes under Uncertainty," Post-Print halshs-01099032, HAL.
    8. Martin Halla & Wolfgang Frimmel & Rudolf Winter-Ebmer, 2016. "How Does Parental Divorce Affect Children's Long-term Outcomes?," CDL Aging, Health, Labor working papers 2016-03, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
    9. Charles F. Manski, 2017. "Improving Clinical Guidelines and Decisions under Uncertainty," NBER Working Papers 23915, National Bureau of Economic Research, Inc.
    10. Seán M. Muller, 2021. "Evidence for a YETI? A Cautionary Tale from South Africa's Youth Employment Tax Incentive," Development and Change, International Institute of Social Studies, vol. 52(6), pages 1301-1342, November.
    11. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    12. Thiene, Mara & Swait, Joffre & Scarpa, Riccardo, 2017. "Choice set formation for outdoor destinations: The role of motivations and preference discrimination in site selection for the management of public expenditures on protected areas," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 152-173.
    13. Charles F. Manski & John V. Pepper, 2015. "How Do Right-To-Carry Laws Affect Crime Rates? Coping With Ambiguity Using Bounded-Variation Assumptions," NBER Working Papers 21701, National Bureau of Economic Research, Inc.
    14. Anthony Perl & Michael Howlett & M. Ramesh, 2018. "Policy-making and truthiness: Can existing policy models cope with politicized evidence and willful ignorance in a “post-fact” world?," Policy Sciences, Springer;Society of Policy Sciences, vol. 51(4), pages 581-600, December.
    15. Xeni Dassiou & Peter Langham & Charles Nancarrow & Alex Scharaschkin & Dan Ward, 2015. "Public service markets: their economics, institutional oversight and regulation," Palgrave Communications, Palgrave Macmillan, vol. 1(palcomms2), pages 15035-15035, November.
    16. Mechoulan, Stéphane, 2020. "Civil unrest, emergency powers, and spillover effects: A mixed methods analysis of the 2005 French riots," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 305-326.
    17. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    18. Manski, Charles F., 2016. "Credible interval estimates for official statistics with survey nonresponse," Journal of Econometrics, Elsevier, vol. 191(2), pages 293-301.
    19. Muller, Seán M., 2021. "The dangers of performative scientism as the alternative to anti-scientific policymaking: A critical, preliminary assessment of South Africa’s Covid-19 response and its consequences," World Development, Elsevier, vol. 140(C).
    20. Xiaoyu Cheng, 2022. "Robust Data-Driven Decisions Under Model Uncertainty," Papers 2205.04573, arXiv.org.
    21. Guido W. Imbens, 2021. "Statistical Significance, p-Values, and the Reporting of Uncertainty," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 157-174, Summer.
    22. Brian Hill, 2022. "Updating confidence in beliefs," Post-Print hal-03503986, HAL.
    23. Manganelli, Simone, 2016. "Deciding with judgment," Working Paper Series 1947, European Central Bank.
    24. Benno Torgler, 2021. "The Power of Public Choice in Law and Economics," CREMA Working Paper Series 2021-04, Center for Research in Economics, Management and the Arts (CREMA).
    25. Millimet, Daniel L. & Roy, Jayjit, 2015. "Multilateral environmental agreements and the WTO," Economics Letters, Elsevier, vol. 134(C), pages 20-23.
    26. Luc Behaghel & Karen Macours & Julie Subervie, 2018. "Can RCTs help improve the design of CAP," Post-Print hal-02112625, HAL.
    27. Laurens Cherchye & Bram De Rock & Frederic Vermeulen, 2023. "Nonparametric Models in Consumer Behaviour," Working Papers ECARES 2023-04, ULB -- Universite Libre de Bruxelles.
    28. Hill, Brian, 2022. "Updating confidence in beliefs," Journal of Economic Theory, Elsevier, vol. 199(C).
    29. Huhr, Scott & Wulczyn, Fred, 2022. "Do intensive in-home services prevent placement?: A case study of Youth Villages’ Intercept® program," Children and Youth Services Review, Elsevier, vol. 132(C).
    30. Luc Behaghel & Karen Macours & Julie Subervie, 2019. "How can randomised controlled trials help improve the design of the common agricultural policy?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(3), pages 473-493.
    31. Fischer, Robert L. & Richter, Francisca García-Cobián, 2017. "SROI in the pay for success context: Are they at odds?," Evaluation and Program Planning, Elsevier, vol. 64(C), pages 105-109.
    32. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2022. "Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs," NBER Working Papers 30469, National Bureau of Economic Research, Inc.
    33. Martin, Ian & Pindyck, R. S., 2015. "Averting catastrophes: the strange economics of Scylla and Charybdis," LSE Research Online Documents on Economics 62139, London School of Economics and Political Science, LSE Library.
    34. Abadie, Alberto & Athey, Susan & Imbens, Guido W. & Wooldridge, Jeffrey M., 2017. "Sampling-Based vs. Design-Based Uncertainty in Regression Analysis," Research Papers 3349, Stanford University, Graduate School of Business.
    35. Angus Deaton & Nancy Cartwright, 2016. "Understanding and Misunderstanding Randomized Controlled Trials," Working Papers august_25.pdf, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    36. de la Guardia, Fernando Hoces & Grant, Sean & Miguel, Edward, 2021. "A framework for open policy analysis," Department of Economics, Working Paper Series qt05r470xk, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    37. Philipp Eisenhauer & Lena Janys & Christopher Walsh & Janós Gabler, 2023. "Structural Models for Policy-Making," CRC TR 224 Discussion Paper Series crctr224_2023_484, University of Bonn and University of Mannheim, Germany.
    38. ILes, Richard, 2017. "Government Doctor Absenteeism And Its Effects On Consumer Demand In Rural North India," Working Papers 2018-9, School of Economic Sciences, Washington State University, revised 12 2018.
    39. Manganelli, Simone, 2021. "Statistical decision functions with judgment," Working Paper Series 2512, European Central Bank.
    40. Eble,Alex & Boone,Peter & Elbourne,Diana, 2016. "On minimizing the risk of bias in randomized controlled trials in economics," Policy Research Working Paper Series 7746, The World Bank.
    41. Casey Helgeson & Richard Bradley & Brian Hill, 2018. "Combining probability with qualitative degree-of-certainty metrics in assessment," Climatic Change, Springer, vol. 149(3), pages 517-525, August.
    42. Susan Athey & Raj Chetty & Guido Imbens, 2020. "Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes," Papers 2006.09676, arXiv.org.
    43. Kaushik Basu, 2014. "Randomisation, Causality and the Role of Reasoned Intuition," Oxford Development Studies, Taylor & Francis Journals, vol. 42(4), pages 455-472, December.
    44. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    45. Schmidt Christoph M., 2014. "Wirkungstreffer erzielen – Die Rolle der evidenzbasierten Politikberatung in einer aufgeklärten Gesellschaft," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 15(3), pages 219-233, October.
    46. Richard A. Iles, 2019. "Government doctor absenteeism and its effects on consumer demand in rural north India," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 475-491, April.
    47. Muller, Sean, 2014. "Randomised trials for policy: a review of the external validity of treatment effects," SALDRU Working Papers 127, Southern Africa Labour and Development Research Unit, University of Cape Town.
    48. Binswanger, Johannes & Oechslin, Manuel, 2020. "Better statistics, better economic policies?," European Economic Review, Elsevier, vol. 130(C).
    49. Soufian, Mona & Forbes, William & Hudson, Robert, 2014. "Adapting financial rationality: Is a new paradigm emerging?," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(8), pages 724-742.
    50. Charles F. Manski, 2020. "Towards Reasonable Patient Care Under Uncertainty," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 227-245, April.
    51. Ashesh Rambachan & Jonathan Roth, 2023. "A More Credible Approach to Parallel Trends," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2555-2591.
    52. Zahra Siddique, 2014. "Randomized control trials in an imperfect world," IZA World of Labor, Institute of Labor Economics (IZA), pages 110-110, December.
    53. Jiun-Hua Su, 2021. "No-Regret Forecasting with Egalitarian Committees," Papers 2109.13801, arXiv.org.
    54. Benno Torgler, 2022. "The power of public choice in law and economics," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1410-1453, December.
    55. Baruch Fischhoff & Gabrielle Wong‐Parodi & Dana Rose Garfin & E. Alison Holman & Roxane Cohen Silver, 2018. "Public Understanding of Ebola Risks: Mastering an Unfamiliar Threat," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 71-83, January.
    56. Youssef M. Aboutaleb & Mazen Danaf & Yifei Xie & Moshe Ben-Akiva, 2021. "Discrete Choice Analysis with Machine Learning Capabilities," Papers 2101.10261, arXiv.org.
    57. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
    58. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Feb 2024.
    59. Buch, Claudia M. & Holtemöller, Oliver, 2014. "Do We Need New Modelling Approaches in Macroeconomics?," IWH Discussion Papers 8/2014, Halle Institute for Economic Research (IWH).
    60. Brian Hill, 2021. "Decision under Uncertainty," Post-Print hal-03504015, HAL.
    61. Raffaella Giacomini & Toru Kitagawa, 2018. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    62. Charles F. Manski, 2018. "Reasonable patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1397-1421, October.
    63. Grossman, Guy & Humphreys, Macartan & Sacramone-Lutz, Gabriella, 2020. "Information Technology and Political Engagement: Mixed Evidence from Uganda," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 82(4), pages 1321-1336.
    64. Reiner Eichenberger & Rainer Hegselmann & David Savage & David Stadelmann & Benno Torgler, 2020. "Certified Corona-Immunity as a Resource and Strategy to Cope with Pandemic Costs," CREMA Working Paper Series 2020-03, Center for Research in Economics, Management and the Arts (CREMA).
    65. Hill, Brian, 2023. "Beyond uncertainty aversion," Games and Economic Behavior, Elsevier, vol. 141(C), pages 196-222.
    66. Steven F. Lehrer & Weili Ding, 2017. "Are genetic markers of interest for economic research?," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-23, December.
    67. Dave Donaldson, 2022. "Blending Theory and Data: A Space Odyssey," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 185-210, Summer.
    68. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    69. Bofinger, Peter & Buch, Claudia M. & Feld, Lars P. & Schmidt, Christoph M. & Wieland, Volker, 2013. "Gegen eine rückwärtsgewandte Wirtschaftspolitik. Jahresgutachten 2013/14 [Against a backward-looking economic policy. Annual Report 2013/14]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201314.
    70. Ho Fai Chan & Nikita Ferguson & David A. Savage & David Stadelmann & Benno Torgler, 2020. "Is Science Able to Perform Under Pressure? Insights from COVID-19," CREMA Working Paper Series 2020-07, Center for Research in Economics, Management and the Arts (CREMA).
    71. Thomas R. Harris, 2017. "Incorporating Risk in Analysis of Tax Policies for Solar Power Investments," International Journal of Energy Economics and Policy, Econjournals, vol. 7(6), pages 112-118.
    72. Lorena G Barberia & Maria Leticia Claro Oliveira & Andrea Junqueira & Natália de Paula Moreira & Guy D. Whitten, 2021. "Should I stay or should I go? Embracing causal heterogeneity in the study of pandemic policy and citizen behavior," Social Science Quarterly, Southwestern Social Science Association, vol. 102(5), pages 2055-2069, September.
    73. Araz Taeihagh & M Ramesh & Michael Howlett, 2021. "Assessing the regulatory challenges of emerging disruptive technologies," Regulation & Governance, John Wiley & Sons, vol. 15(4), pages 1009-1019, October.
    74. Daniel T. L. Shek & Florence K. Y. Wu, 2018. "The Social Indicators Movement: Progress, Paradigms, Puzzles, Promise and Potential Research Directions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(3), pages 975-990, February.
    75. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    76. Philipp Eisenhauer & Janos Gabler & Lena Janys, 2021. "Structural Models for Policy-Making: Coping with Parametric Uncertainty," ECONtribute Discussion Papers Series 082, University of Bonn and University of Cologne, Germany.
    77. Eisenhauer, Philipp & Gabler, Janos & Janys, Lena, 2021. "Structural Models for Policy-Making: Coping with Parametric Uncertainty," IZA Discussion Papers 14317, Institute of Labor Economics (IZA).
    78. Zhu, Qin & Jesiek, Brent K., 2014. "In pursuit of the Dao in policymaking: Toward a cultural approach to understanding engineering education policy in China," Technology in Society, Elsevier, vol. 38(C), pages 169-176.
    79. Cartier, Yuri & Benmarhnia, Tarik & Brousselle, Astrid, 2015. "Tool for assessing health and equity impacts of interventions modifying air quality in urban environments," Evaluation and Program Planning, Elsevier, vol. 53(C), pages 1-9.
    80. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    81. Eddie Casey, 2019. "Inside the "Upside Down": Estimating Ireland's Output Gap," The Economic and Social Review, Economic and Social Studies, vol. 50(1), pages 5-34.
    82. Brian Hill, 2023. "Beyond Uncertainty Aversion," Post-Print hal-02428398, HAL.
    83. Choudhury, Sanchari, 2019. "WTO membership and corruption," European Journal of Political Economy, Elsevier, vol. 60(C).
    84. Jonathan H.W. Tan & Zhao Zichen & Daniel John Zizzo, 2023. "Scientific Inference from Field and Laboratory Economic Experiments: Empirical Evidence," Discussion Papers Series 663, School of Economics, University of Queensland, Australia.
    85. Philipp Eisenhauer & Jano's Gabler & Lena Janys & Christopher Walsh, 2021. "Structural models for policy-making: Coping with parametric uncertainty," Papers 2103.01115, arXiv.org, revised Jun 2022.
    86. Aizawa, T.;, 2019. "Reviewing the Existing Evidence of the Conditional Cash Transfer in India through the Partial Identification Approach," Health, Econometrics and Data Group (HEDG) Working Papers 19/24, HEDG, c/o Department of Economics, University of York.

  36. Manski, Charles F. & Neri, Claudia, 2013. "First- and second-order subjective expectations in strategic decision-making: Experimental evidence," Games and Economic Behavior, Elsevier, vol. 81(C), pages 232-254.
    See citations under working paper version above.
  37. Charles F. Manski, 2013. "Identification of treatment response with social interactions," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 1-23, February.
    See citations under working paper version above.
  38. Moshe Ben-Akiva & André Palma & Daniel McFadden & Maya Abou-Zeid & Pierre-André Chiappori & Matthieu Lapparent & Steven Durlauf & Mogens Fosgerau & Daisuke Fukuda & Stephane Hess & Charles Manski & Ar, 2012. "Process and context in choice models," Marketing Letters, Springer, vol. 23(2), pages 439-456, June.

    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. André de Palma & Nathalie Picard & Ignacio Inoa, 2013. "Discrete Choice Decision-Making with Multiple Decision Makers within the Household," Working Papers hal-00812835, HAL.
    3. Wuepper, David & Sauer, Johannes & Kleemann, Linda, 2014. "Sustainable intensification of pineapple farming in Ghana: Training and complexity," Kiel Working Papers 1973, Kiel Institute for the World Economy (IfW Kiel).
    4. Di Ciommo, Floridea & Comendador, Julio & López-Lambas, María Eugenia & Cherchi, Elisabetta & Ortúzar, Juan de Dios, 2014. "Exploring the role of social capital influence variables on travel behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 46-55.
    5. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    6. Jaap Sok & Egil A J Fischer, 2020. "Farmers' heterogeneous motives, voluntary vaccination and disease spread: an agent-based model," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 1201-1222.
    7. Ignacio A. Inoa & Nathalie Picard & André de Palma, 2015. "Effect of an Accessibility Measure in a Model for Choice of Residential Location, Workplace, and Type of Employment," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01311135, HAL.
    8. Nathalie Picard & André de Palma & Moshe Ben-Akiva, 2018. "Special issue in the Honor of Daniel McFadden: Introduction," Post-Print hal-02980532, HAL.
    9. Ching-Hua Yeh & Monika Hartmann, 2021. "To Purchase or Not to Purchase? Drivers of Consumers’ Preferences for Animal Welfare in Their Meat Choice," Sustainability, MDPI, vol. 13(16), pages 1-25, August.
    10. André Palma & Mohammed Abdellaoui & Giuseppe Attanasi & Moshe Ben-Akiva & Ido Erev & Helga Fehr-Duda & Dennis Fok & Craig Fox & Ralph Hertwig & Nathalie Picard & Peter Wakker & Joan Walker & Martin We, 2014. "Beware of black swans: Taking stock of the description–experience gap in decision under uncertainty," Marketing Letters, Springer, vol. 25(3), pages 269-280, September.
    11. Pamela Giustinelli & Charles F. Manski, 2018. "Survey Measures Of Family Decision Processes For Econometric Analysis Of Schooling Decisions," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 81-99, January.
    12. Jensen, Anne Kejser & Olsen, Søren Bøye, 2019. "Childhood Nature Experiences and Adulthood Environmental Preferences," Ecological Economics, Elsevier, vol. 156(C), pages 48-56.
    13. Melvin Wong & Bilal Farooq, 2019. "ResLogit: A residual neural network logit model for data-driven choice modelling," Papers 1912.10058, arXiv.org, revised Feb 2021.
    14. Maya Abou-Zeid & Moshe Ben-Akiva, 2014. "Hybrid choice models," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 17, pages 383-412, Edward Elgar Publishing.
    15. Konstadinos G. Goulias & Ram M. Pendyala, 2014. "Choice context," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 5, pages 101-130, Edward Elgar Publishing.
    16. Motz, Alessandra, 2021. "Consumer acceptance of the energy transition in Switzerland: The role of attitudes explained through a hybrid discrete choice model," Energy Policy, Elsevier, vol. 151(C).
    17. Di Ciommo, Floridea & Monzón, Andrés & Fernandez-Heredia, Alvaro, 2013. "Improving the analysis of road pricing acceptability surveys by using hybrid models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 302-316.
    18. Anna K. Edenbrandt & Christian Gamborg & Bo Jellesmark Thorsen, 2020. "Observational learning in food choices: The effect of product familiarity and closeness of peers," Agribusiness, John Wiley & Sons, Ltd., vol. 36(3), pages 482-498, June.
    19. Raphael Thomadsen & Robert P. Rooderkerk & On Amir & Neeraj Arora & Bryan Bollinger & Karsten Hansen & Leslie John & Wendy Liu & Aner Sela & Vishal Singh & K. Sudhir & Wendy Wood, 2018. "How Context Affects Choice," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 3-14, March.
    20. André de Palma & Nathalie Picard & Robin Lindsey, 2021. "Activity and Transportation Decisions within Households," THEMA Working Papers 2021-18, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    21. Anna Klabunde & Frans Willekens, 2016. "Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges," European Journal of Population, Springer;European Association for Population Studies, vol. 32(1), pages 73-97, February.
    22. Salak, B. & Lindberg, K. & Kienast, F. & Hunziker, M., 2021. "How landscape-technology fit affects public evaluations of renewable energy infrastructure scenarios. A hybrid choice model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).

  39. Charles F. Manski, 2011. "Genes, Eyeglasses, and Social Policy," Journal of Economic Perspectives, American Economic Association, vol. 25(4), pages 83-94, Fall.

    Cited by:

    1. Xu, Yilan & Briley, Daniel A. & Brown, Jeffrey R. & Roberts, Brent W., 2017. "Genetic and environmental influences on household financial distress," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 404-424.
    2. Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Kevin Thom, 2022. "Economics and Econometrics of Gene-Environment Interplay," Bristol Economics Discussion Papers 22/759, School of Economics, University of Bristol, UK.
    3. Loewen, Peter J. & Dawes, Christopher T. & Mazar, Nina & Johannesson, Magnus & Koellinger, Philipp & Magnusson, Patrik K.E., 2013. "The heritability of moral standards for everyday dishonesty," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 363-366.
    4. Terhi Maczulskij, 2012. "Employment sector and pay gaps: genetic and environmental influences," ERSA conference papers ersa12p755, European Regional Science Association.
    5. Douglas Almond & Janet Currie & Mariesa Herrmann, 2011. "From Infant to Mother: Early Disease Environment and Future Maternal Health," NBER Working Papers 17676, National Bureau of Economic Research, Inc.
    6. Smith, Jonathan, 2013. "Ova and out: Using twins to estimate the educational returns to attending a selective college," Economics of Education Review, Elsevier, vol. 36(C), pages 166-180.
    7. Joan Costa Font & Mireia Jofre-Bonet & Julian Le Grand, 2015. "Vertical Transmission of Overweight: Evidence From English Adoptees," CEP Discussion Papers dp1324, Centre for Economic Performance, LSE.
    8. Lorenzo Cappellari, 2021. "Income inequality and social origins," IZA World of Labor, Institute of Labor Economics (IZA), pages 261-261, May.
    9. Olaf Hübler, 2012. "Are Tall People Less Risk Averse than Others?," SOEPpapers on Multidisciplinary Panel Data Research 457, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Ari Hyytinen & Pekka Ilmakunnas & Edvard Johansson & Otto Toivanen, 2019. "Heritability of lifetime earnings," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(3), pages 319-335, September.
    11. Stenberg, Anders, 2013. "Interpreting estimates of heritability – A note on the twin decomposition," Economics & Human Biology, Elsevier, vol. 11(2), pages 201-205.
    12. Niken Kusumawardhani & Daniel Suryadarma & Luca Tiberti & Veto Tyas, 2019. "What Skills Lead to Entrepreneurial Success? Evidence from Non-Farm-Household Enterprises in Indonesia," Working Papers PMMA 2019-14, PEP-PMMA.
    13. Yildirim, Selen & Neugart, Michael, 2020. "What determines perceived income justice? Evidence from the German TwinLife study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 117985, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Leuven, Edwin & Plug, Erik & Marte, Rønning, 2014. "The Relative Contribution of Genetic and Environmental Factors to Cancer Risk and Cancer Mortality in Norway," Memorandum 05/2014, Oslo University, Department of Economics.
    15. Jason Collins & Boris Baer & Ernst Juerg Weber, 2016. "Evolutionary Biology in Economics: A Review," The Economic Record, The Economic Society of Australia, vol. 92(297), pages 291-312, June.
    16. Hyeokmoon Kweon & Casper A.P. Burik & Richard Karlsson Linner & Ronald de Vlaming & Aysu Okbay & Daphne Martschenko & Kathryn Paige Harden & Thomas A. DiPrete & Philipp D. Koellinger, 2020. "Genetic Fortune: Winning or Losing Education, Income, and Health," Tinbergen Institute Discussion Papers 20-053/V, Tinbergen Institute, revised 01 Dec 2020.
    17. Vanessa Mertins & Andrea B. Schote & Jobst Meyer, 2013. "Variants of the Monoamine Oxidase A Gene (MAOA) Predict Free-riding Behavior in Women in a Strategic Public Goods Experiment," IAAEU Discussion Papers 201302, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
    18. Fletcher, Jason M. & Lu, Qiongshi & Mazumder, Bhashkar & Song, Jie, 2023. "Understanding Sibling Correlations in Education: Molecular Genetics and Family Background," IZA Discussion Papers 15862, Institute of Labor Economics (IZA).
    19. Lauren Gaydosh & Daniel W. Belsky & Benjamin W. Domingue & Jason D. Boardman & Kathleen Mullan Harris, 2018. "Father Absence and Accelerated Reproductive Development in Non-Hispanic White Women in the United States," Demography, Springer;Population Association of America (PAA), vol. 55(4), pages 1245-1267, August.
    20. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    21. Cobb-Clark, Deborah A., 2016. "Biology and Gender in the Labor Market," IZA Discussion Papers 10386, Institute of Labor Economics (IZA).
    22. Hyytinen, Ari & Ilmakunnas, Pekka & Johansson, Edvard & Toivanen, Otto, 2013. "Heritability of Lifetime Income," MPRA Paper 46326, University Library of Munich, Germany.

  40. Charles F. Manski, 2011. "Policy Analysis with Incredible Certitude," Economic Journal, Royal Economic Society, vol. 121(554), pages 261-289, August.
    See citations under working paper version above.
  41. William A. Brock & Charles F. Manski, 2011. "Competitive Lending with Partial Knowledge of Loan Repayment: Some Positive and Normative Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 441-459, March.

    Cited by:

    1. Stoye, Jörg, 2012. "Minimax regret treatment choice with covariates or with limited validity of experiments," Journal of Econometrics, Elsevier, vol. 166(1), pages 138-156.
    2. Charles F. Manski, 2014. "Choosing Size of Government Under Ambiguity: Infrastructure Spending and Income Taxation," Economic Journal, Royal Economic Society, vol. 0(576), pages 359-376, May.
    3. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    4. Costantini, Mauro & Sousa, Ricardo M., 2022. "What uncertainty does to euro area sovereign bond markets: Flight to safety and flight to quality," Journal of International Money and Finance, Elsevier, vol. 122(C).
    5. Chollete, Lorán & Jaffee, Dwight & Mamun, Khawaja A., 2022. "Policy suggestions from a simple framework with extreme outcomes," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 374-398.
    6. Assenza, T. & Brock, W.A. & Hommes, C.H., 2012. "Animal Spirits, Heterogeneous Expectations and the Amplification and Duration of Crises," CeNDEF Working Papers 12-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

  42. Jeff Dominitz & Charles F. Manski, 2011. "Measuring and interpreting expectations of equity returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 352-370, April.
    See citations under working paper version above.
  43. Joseph Engelberg & Charles F. Manski & Jared Williams, 2011. "Assessing the temporal variation of macroeconomic forecasts by a panel of changing composition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(7), pages 1059-1078, November.

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Bauer, Dominik & Wolff, Irenaeus, 2021. "Biases in Belief Reports," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242458, Verein für Socialpolitik / German Economic Association.
    3. Holmes, Mark J. & Iregui, Ana María & Otero, Jesús, 2021. "The effects of FX-interventions on forecasters disagreement: A mixed data sampling view," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    4. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    5. Michael P. Clements, 2022. "Forecaster Efficiency, Accuracy, and Disagreement: Evidence Using Individual‐Level Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(2-3), pages 537-568, March.
    6. López Pérez, Víctor, 2015. "Does uncertainty affect participation in the European Central Bank's Survey of Professional Forecasters?," Working Paper Series 1807, European Central Bank.
    7. Clements, Michael P., 2019. "Do forecasters target first or later releases of national accounts data?," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1240-1249.
    8. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    9. Michael P. Clements, 2020. "Individual Forecaster Perceptions of the Persistence of Shocks to GDP," ICMA Centre Discussion Papers in Finance icma-dp2020-02, Henley Business School, University of Reading.
    10. Carlo Altavilla & Domenico Giannone, 2014. "The Effectiveness of Non-Standard Monetary Policy Measures: Evidence from Survey Data," Working Papers ECARES ECARES 2014-30, ULB -- Universite Libre de Bruxelles.
    11. Jinill Kim & Seth Pruitt, 2017. "Estimating Monetary Policy Rules When Nominal Interest Rates Are Stuck at Zero," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 585-602, June.
    12. Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
    13. Sami Oinonen & Maritta Paloviita, 2017. "How Informative are Aggregated Inflation Expectations? Evidence from the ECB Survey of Professional Forecasters," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(2), pages 139-163, November.
    14. Bauer, Dominik & Wolff, Irenaeus, 2019. "Biases in Beliefs," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203601, Verein für Socialpolitik / German Economic Association.
    15. Zidong An & Salem Abo‐Zaid & Xuguang Simon Sheng, 2023. "Inattention and the impact of monetary policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 623-643, June.
    16. Oinonen, Sami & Paloviita, Maritta, 2014. "Analysis of aggregated inflation expectations based on the ECB SPF survey," Bank of Finland Research Discussion Papers 29/2014, Bank of Finland.
    17. Joshua Abel & Robert Rich & Joseph Song & Joseph Tracy, 2016. "The Measurement and Behavior of Uncertainty: Evidence from the ECB Survey of Professional Forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 533-550, April.
    18. Clements, Michael P. & Galvao, Ana Beatriz, 2019. "Measuring the Effects of Expectations Shocks," EMF Research Papers 31, Economic Modelling and Forecasting Group.
    19. Francesca Pancotto & Giuseppe Pignataro & Davide Raggi, 2015. "Social Learning and Higher Order Beliefs: A Structural Model of Exchange Rates Dynamics," LEM Papers Series 2015/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Monica Jain, 2013. "Perceived Inflation Persistence," Staff Working Papers 13-43, Bank of Canada.
    21. Dominik Bauer & Irenaeus Wolff, 2018. "Biases in Beliefs: Experimental Evidence," TWI Research Paper Series 109, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    22. Ueno, Yuko, 2014. "Updating Behavior of Inflation Expectations: Evidence from Japanese Household Panel Data," CIS Discussion paper series 617, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    23. Karlyn Mitchell & Douglas K. Pearce, 2017. "Direct Evidence on Sticky Information from the Revision Behavior of Professional Forecasters," Southern Economic Journal, John Wiley & Sons, vol. 84(2), pages 637-653, October.
    24. Michael P. Clements, 2020. "Do Survey Joiners and Leavers Differ from Regular Participants? The US SPF GDP Growth and Inflation Forecasts," ICMA Centre Discussion Papers in Finance icma-dp2020-01, Henley Business School, University of Reading.
    25. Oinonen, Sami & Paloviita, Maritta, 2016. "How informative are aggregated inflation expectations? Evidence from the ECB Survey of Professional Forecasters," Bank of Finland Research Discussion Papers 15/2016, Bank of Finland.
    26. Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
    27. Karlyn Mitchell & Douglas K. Pearce, 2020. "How Did Unconventional Monetary Policy Affect Economic Forecasts?," Contemporary Economic Policy, Western Economic Association International, vol. 38(1), pages 206-220, January.
    28. Michael P. Clements, 2020. "Are Some Forecasters’ Probability Assessments of Macro Variables Better Than Those of Others?," Econometrics, MDPI, vol. 8(2), pages 1-16, May.

  44. Wändi Bruine De Bruin & Charles F. Manski & Giorgio Topa & Wilbert van der Klaauw, 2011. "Measuring consumer uncertainty about future inflation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 454-478, April.
    See citations under working paper version above.
  45. Charles F. Manski, 2011. "Choosing Treatment Policies Under Ambiguity," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 25-49, September.

    Cited by:

    1. BERGER, Loïc & BLEICHRODT, Han & EECKHOUDT, Louis, 2013. "Treatment decisions under ambiguity," LIDAM Reprints CORE 2494, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Lihua Lei & Roshni Sahoo & Stefan Wager, 2023. "Policy Learning under Biased Sample Selection," Papers 2304.11735, arXiv.org.
    3. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    4. Charles F. Manski, 2014. "Choosing Size of Government Under Ambiguity: Infrastructure Spending and Income Taxation," Economic Journal, Royal Economic Society, vol. 0(576), pages 359-376, May.
    5. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    6. Epstein, Larry G. & Seo, Kyoungwon, 2015. "Exchangeable capacities, parameters and incomplete theories," Journal of Economic Theory, Elsevier, vol. 157(C), pages 879-917.
    7. Charles F. Manski, 2014. "Vaccine Approvals and Mandates Under Uncertainty: Some Simple Analytics," NBER Working Papers 20432, National Bureau of Economic Research, Inc.
    8. Stanca, Lorenzo, 2021. "Smooth aggregation of Bayesian experts," Journal of Economic Theory, Elsevier, vol. 196(C).
    9. Hahn, Jinyong & Ridder, Geert & Snider, Connan, 2013. "Partial identification and mergers," Economics Letters, Elsevier, vol. 118(1), pages 126-129.
    10. Besley, Tim & Mueller, Hannes, 2015. "Volatility and Political Institutions: Theory and Application to Economic Growth," CEPR Discussion Papers 10374, C.E.P.R. Discussion Papers.
    11. Riccardo D'Adamo, 2021. "Orthogonal Policy Learning Under Ambiguity," Papers 2111.10904, arXiv.org, revised Dec 2022.
    12. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    13. Dionissi Aliprantis, 2017. "Assessing the evidence on neighborhood effects from Moving to Opportunity," Empirical Economics, Springer, vol. 52(3), pages 925-954, May.

  46. Charles Manski, 2011. "Actualist rationality," Theory and Decision, Springer, vol. 71(2), pages 195-210, August.

    Cited by:

    1. Steven N. Durlauf, 2012. "Complexity, economics, and public policy," Politics, Philosophy & Economics, , vol. 11(1), pages 45-75, February.
    2. Charles F. Manski, 2017. "Optimize, satisfice, or choose without deliberation? A simple minimax-regret assessment," Theory and Decision, Springer, vol. 83(2), pages 155-173, August.

  47. Charles Bellemare & Charles F. Manski, 2011. "Introduction: ‘Measurement and analysis of subjective expectations’," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 351-351, April.

    Cited by:

    1. Costanigro, Marco & Onozaka, Yuko, 2018. "A Belief-Preference Model of Choice for Experience and Credence Goods," Working Papers 276053, Colorado State University, Department of Agricultural and Resource Economics.
    2. Francesca Pancotto & Giuseppe Pignataro & Davide Raggi, 2015. "Social Learning and Higher Order Beliefs: A Structural Model of Exchange Rates Dynamics," LEM Papers Series 2015/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  48. Asher A. Blass & Saul Lach & Charles F. Manski, 2010. "Using Elicited Choice Probabilities To Estimate Random Utility Models: Preferences For Electricity Reliability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(2), pages 421-440, May.
    See citations under working paper version above.
  49. Charles F. Manski, 2010. "When consensus choice dominates individualism: Jensen's inequality and collective decisions under uncertainty," Quantitative Economics, Econometric Society, vol. 1(1), pages 187-202, July. See citations under working paper version above.
  50. Manski, Charles F. & Molinari, Francesca, 2010. "Rounding Probabilistic Expectations in Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(2), pages 219-231.

    Cited by:

    1. Yifan Gong & Ralph Stinebrickner & Todd R. Stinebrickner, 2019. "Marriage, Children, and Labor Supply: Beliefs and Outcomes," NBER Working Papers 26334, National Bureau of Economic Research, Inc.
    2. Colubi, Ana & Ramos-Guajardo, Ana Belén, 2023. "Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics," Econometrics and Statistics, Elsevier, vol. 26(C), pages 84-98.
    3. Gutierrez, Italo A., 2016. "Job insecurity, unemployment insurance and on-the-job search. Evidence from older American workers," Labour Economics, Elsevier, vol. 41(C), pages 228-245.
    4. Yves Breitmoser, 2021. "Controlling for presentation effects in choice," Quantitative Economics, Econometric Society, vol. 12(1), pages 251-281, January.
    5. Alexander Zimper, 2012. "The emergence of “fifty-fifty” probability judgements in a conditional Savage world," Working Papers 291, Economic Research Southern Africa.
    6. Celidoni, Martina & Costa-Font, Joan & Salmasi, Luca, 2022. "Too Healthy to Fall Sick? Longevity Expectations and Protective Health Behaviours during the First Wave of COVID-19," IZA Discussion Papers 15493, Institute of Labor Economics (IZA).
    7. Díaz Serrano, Lluís, 2017. "The Reliability of Students’ Earnings Expectations," Working Papers 2072/290760, Universitat Rovira i Virgili, Department of Economics.
    8. Melissa Boyle & Justin Svec, 2022. "The Roundness of Antiquity Valuations from Auction Houses and Sales," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 602-630, October.
    9. Pannenberg, Markus & Friehe, Tim, 2019. "Does it really get better with age? Life-cycle patterns of confidence in Germany," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203497, Verein für Socialpolitik / German Economic Association.
    10. Paul Ruud & Daniel Schunk & Joachim Winter, 2014. "Uncertainty causes rounding: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 17(3), pages 391-413, September.
    11. Ana Galvao & James Mitchell, 2021. "Communicating Data Uncertainty: Multi-Wave Experimental Evidence for U.K. GDP," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-06, Economic Statistics Centre of Excellence (ESCoE).
    12. Peter Backé & Elisabeth Beckmann, 2020. "What drives people’s expectations of euro adoption? – Evidence from the OeNB Euro Survey on selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/20, pages 57-79.
    13. Francesco D’Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2019. "IQ, Expectations, and Choice," NBER Working Papers 25496, National Bureau of Economic Research, Inc.
    14. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    15. Christian Belzil & Julie Pernaudet & François Poinas, 2021. "Estimating Coherency between Survey Data and Incentivized Experimental Data," CIRANO Working Papers 2021s-30, CIRANO.
    16. Ana Beatriz Galvão & James Mitchell, 2023. "Real‐Time Perceptions of Historical GDP Data Uncertainty," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 457-481, June.
    17. Robert S. Pindyck, 2016. "The Social Cost of Carbon Revisited," NBER Working Papers 22807, National Bureau of Economic Research, Inc.
    18. Evans, Keith S. & Herriges, Joseph A., 2010. "Rounding in recreation demand models: a latent class count model," ISU General Staff Papers 201006020700001116, Iowa State University, Department of Economics.
    19. Naohito Abe & Yuko Ueno, 2016. "The Mechanism of Inflation Expectation Formation among Consumers," UTokyo Price Project Working Paper Series 064, University of Tokyo, Graduate School of Economics.
    20. Joan Costa-i-Font & Cristina Vilaplana-Prieto, 2021. "Biased Survival Expectations and Behaviours: Does Domain Specific Information Matter?," CESifo Working Paper Series 9424, CESifo.
    21. Artūras Juodis & Simas Kučinskas, 2023. "Quantifying noise in survey expectations," Quantitative Economics, Econometric Society, vol. 14(2), pages 609-650, May.
    22. Lindsay C Kobayashi & Rebecca J Beeken & Susanne F Meisel, 2017. "Biopsychosocial predictors of perceived life expectancy in a national sample of older men and women," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-16, December.
    23. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    24. Luc Bissonnette & J. de Bresser, 2015. "Eliciting Subjective Survival Curves: Lessons from Partial Identification," Cahiers de recherche 1503, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    25. Lahiri, Kajal & Wang, J. George, 2013. "Evaluating probability forecasts for GDP declines using alternative methodologies," International Journal of Forecasting, Elsevier, vol. 29(1), pages 175-190.
    26. Peter Backé & Elisabeth Beckmann, 2022. "Euro adoption in CESEE: How do financial literacy and trust in institutions affect people’s attitudes?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/22, pages 7-28.
    27. Chad Kendall & Tommaso Nannicini & Francesco Trebbi, 2013. "How Do Voters Respond to Information? Evidence from a Randomized Campaign," Working Papers 486, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    28. Giustinelli, Pamela & Manski, Charles F. & Molinari, Francesca, 2022. "Tail and center rounding of probabilistic expectations in the Health and Retirement Study," Journal of Econometrics, Elsevier, vol. 231(1), pages 265-281.
    29. Luc Bissonnette & Michael D. Hurd & Pierre-Carl Michaud, 2014. "Individual Survival Curves Comparing Subjective and Observed Mortality Risks," Cahiers de recherche 1404, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    30. Heiss, Florian & Hurd, Michael & Rossmann, Tobias & Winter, Joachim & van Rooij, Maarten, 2019. "Dynamics and Heterogeneity of Subjective Stock Market Expectations," Rationality and Competition Discussion Paper Series 157, CRC TRR 190 Rationality and Competition.
    31. Craig Landry & Dylan Turner, 2020. "Risk Perceptions and Flood Insurance: Insights from Homeowners on the Georgia Coast," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    32. Ludwig, Alexander & Grevenbrock, Nils & Groneck, Max & Zimper, Alexander, 2020. "Cognition, Optimism and the Formation of Age-Dependent Survival Beliefs," CEPR Discussion Papers 14539, C.E.P.R. Discussion Papers.
    33. Stephane Bonhomme & Angela Denis, 2023. "Estimating Individual Responses when Tomorrow Matters," Papers 2310.09105, arXiv.org, revised Dec 2023.
    34. Kettlewell, Nathan & Walker, Matthew J. & Yoo, Hong Il, 2024. "Alternative Models of Preference Heterogeneity for Elicited Choice Probabilities," IZA Discussion Papers 16821, Institute of Labor Economics (IZA).
    35. Leonardo Becchetti & Fabio Pisani & Berkan Acar, 2023. "Eudaimonic wellbeing and life expectancy," Kyklos, Wiley Blackwell, vol. 76(2), pages 179-195, May.
    36. Oben K Bayrak & Bengt Kriström, 2016. "Is there a valuation gap? The case of interval valuations," Economics Bulletin, AccessEcon, vol. 36(1), pages 218-236.
    37. Jason F. Shogren & Jason F. Shogren, 2013. "Bidding Behavior given Point and Interval Values in a Second-price Auction," Economics Discussion Paper Series 1310, Economics, The University of Manchester.
    38. Michael P. Clements, 2011. "An Empirical Investigation of the Effects of Rounding on the SPF Probabilities of Decline and Output Growth Histograms," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 207-220, February.
    39. de Bresser, Jochem, 2019. "Measuring subjective survival expectations – Do response scales matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 165(C), pages 136-156.
    40. Joanne W. Hsu, 2011. "Aging and Strategic Learning: The Impact of Spousal Incentives on Financial Literacy," NFI Working Papers 2011-WP-06, Indiana State University, Scott College of Business, Networks Financial Institute.
    41. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    42. Franco Peracchi & Valeria Perotti, 2010. "Subjective survival probabilities and life tables: Evidence from Europe," EIEF Working Papers Series 1016, Einaudi Institute for Economics and Finance (EIEF), revised Nov 2011.
    43. de Bresser, Jochem & van Soest, Arthur, 2017. "The Predictive Power of Subjective Probability Questions," Other publications TiSEM 67bd2341-45c7-4e60-99e5-f, Tilburg University, School of Economics and Management.
    44. Breitmoser, Yves, 2017. "Discrete Choice with Presentation Effects," Rationality and Competition Discussion Paper Series 35, CRC TRR 190 Rationality and Competition.
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    48. Arie Kapteyn & Jinkook Lee & Caroline Tassot & Hana Vonkova & Gema Zamarro, 2015. "Dimensions of Subjective Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(3), pages 625-660, September.
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    61. Staffa, Ruben Marek, 2023. "Macroeconomic effects from sovereign risk vs. Knightian uncertainty," IWH Discussion Papers 27/2023, Halle Institute for Economic Research (IWH).
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    63. Wändi Bruine de Bruin & Keshav Dogra & Sebastian Heise & Edward S. Knotek & Brent Meyer & Robert W. Rich & Raphael Schoenle & Giorgio Topa & Wilbert Van der Klaauw, 2023. "Estimates of Cost-Price Passthrough from Business Survey Data," Working Papers 23-14, Federal Reserve Bank of Cleveland.
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    67. Dietrich, Alexander M., 2023. "Consumption categories, household attention, and inflation expectations: Implications for optimal monetary policy," University of Tübingen Working Papers in Business and Economics 157, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
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    93. V. P. Kirilenko & G. V. Alekseev, 2021. "Measuring Political Trust in a Modern Democracy," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 10.
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    95. Thomas Crossley & Yifan Gong & Todd Stinebrickner & Ralph Stinebrickner, 2021. "Examining income expectations in the college and early post-college periods: new distributional tests of rational expectations," IFS Working Papers W21/01, Institute for Fiscal Studies.
    96. Chiara Binelli, 2019. "Employment and Earnings Expectations of Jobless Young Skilled: Evidence from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 201-231, August.
    97. Eid, Nourhan & Maltby, Josephine & Talavera, Oleksandr, 2016. "Income Rounding and Loan Performance in the Peer-to-Peer Market," MPRA Paper 72852, University Library of Munich, Germany.
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    105. Grant Graziani & Wilbert van der Klaauw & Basit Zafar, 2016. "Workers' Spending Response to the 2011 Payroll Tax Cuts," American Economic Journal: Economic Policy, American Economic Association, vol. 8(4), pages 124-159, November.
    106. John Ameriks & Gábor Kézdi & Minjoon Lee & Matthew D. Shapiro, 2020. "Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 633-646, July.
    107. Wändi Bruine de Bruin & Katherine G. Carman, 2018. "Measuring Subjective Probabilities: The Effect of Response Mode on the Use of Focal Responses, Validity, and Respondents’ Evaluations," Risk Analysis, John Wiley & Sons, vol. 38(10), pages 2128-2143, October.
    108. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    109. Zachary H. Seeskin, 2016. "Evaluating the Use of Commercial Data to Improve Survey Estimates of Property Taxes," CARRA Working Papers 2016-06, Center for Economic Studies, U.S. Census Bureau.
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    113. Michael Gideon & Brooke Helppie-McFall & Joanne W. Hsu, 2017. "Heaping at Round Numbers on Financial Questions : The Role of Satisficing," Finance and Economics Discussion Series 2017-006, Board of Governors of the Federal Reserve System (U.S.).
    114. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    116. Giovanni Immordino & Tullio Jappelli & Tommaso Oliviero, 2024. "Consumption and income expectations during Covid-19," Review of Economics of the Household, Springer, vol. 22(1), pages 95-116, March.
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    118. Lopera Baena, Maria Adelaida, 2016. "Evidence of Conditional and Unconditional Cooperation in a Public Goods Game: Experimental Evidence from Mali," VfS Annual Conference 2016 (Augsburg): Demographic Change 145797, Verein für Socialpolitik / German Economic Association.
    119. Patrick Schmidt, 2019. "Eliciting ambiguity with mixing bets," Papers 1902.07447, arXiv.org, revised Jul 2022.
    120. Delavande, Adeline & Del Bono, Emilia & Holford, Angus, 2022. "Academic and non-academic investments at university: The role of expectations, preferences and constraints," Journal of Econometrics, Elsevier, vol. 231(1), pages 74-97.
    121. David R. Rappange & Job van Exel & Werner B. F. Brouwer, 2017. "A short note on measuring subjective life expectancy: survival probabilities versus point estimates," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(1), pages 7-12, January.
    122. Drechsler, Jörg & Kiesl, Hans, 2014. "Beat the heap - an imputation strategy for valid inferences from rounded income data," IAB-Discussion Paper 201402, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    123. Yifan Gong & Todd Stinebrickner & Ralph Stinebrickner, 2020. "Perceived and actual option values of college enrollment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 940-959, November.
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    125. van Santen, Peter & Alessie, Rob & Kalwij, Adriaan, 2012. "Probabilistic survey questions and incorrect answers: Retirement income replacement rates," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 267-280.
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    137. Superti, Luiz Henrique, 2019. "Effects on Fertility of The Brazilian Cash Transfer Program: Evidence from a Regression Discontinuity Approach," MPRA Paper 104627, University Library of Munich, Germany, revised Oct 2020.
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  51. Manski Charles F, 2009. "Adaptive Partial Drug Approval: A Health Policy Proposal," The Economists' Voice, De Gruyter, vol. 6(4), pages 1-5, March.

    Cited by:

    1. Bognar, Katalin & Romley, John A. & Bae, Jay P. & Murray, James & Chou, Jacquelyn W. & Lakdawalla, Darius N., 2017. "The role of imperfect surrogate endpoint information in drug approval and reimbursement decisions," Journal of Health Economics, Elsevier, vol. 51(C), pages 1-12.
    2. Tetenov, Aleksey, 2012. "Statistical treatment choice based on asymmetric minimax regret criteria," Journal of Econometrics, Elsevier, vol. 166(1), pages 157-165.
    3. Ute Laermann-Nguyen & Martin Backfisch, 2021. "Innovation crisis in the pharmaceutical industry? A survey," SN Business & Economics, Springer, vol. 1(12), pages 1-37, December.
    4. Iverson, Terrence, 2013. "Minimax regret discounting," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 598-608.
    5. Prokop, Jacek & Regibeau, Pierre & Rockett, Katharine, 2009. "Minimum quality standards and novelty requirements in a one-shot development race," Economics Discussion Papers 2009-33, Kiel Institute for the World Economy (IfW Kiel).

  52. Charles F. Manski, 2009. "The 2009 Lawrence R. Klein Lecture: Diversified Treatment Under Ambiguity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1013-1041, November.

    Cited by:

    1. Manski, Charles F., 2023. "Probabilistic prediction for binary treatment choice: With focus on personalized medicine," Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
    2. Charles F. Manski, 2017. "Improving Clinical Guidelines and Decisions under Uncertainty," NBER Working Papers 23915, National Bureau of Economic Research, Inc.
    3. Steven N. Durlauf & Daniel S. Nagin, 2010. "The Deterrent Effect of Imprisonment," NBER Chapters, in: Controlling Crime: Strategies and Tradeoffs, pages 43-94, National Bureau of Economic Research, Inc.
    4. Daido Kido, 2023. "Locally Asymptotically Minimax Statistical Treatment Rules Under Partial Identification," Papers 2311.08958, arXiv.org.
    5. William A. Brock & Charles F. Manski, 2011. "Competitive Lending with Partial Knowledge of Loan Repayment: Some Positive and Normative Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 441-459, March.
    6. Charles F. Manski, 2014. "Vaccine Approvals and Mandates Under Uncertainty: Some Simple Analytics," NBER Working Papers 20432, National Bureau of Economic Research, Inc.
    7. Massimo Marinacci, 2015. "Model Uncertainty," Working Papers 553, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    8. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Feb 2024.
    9. Charles F. Manski, 2018. "Reasonable patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1397-1421, October.
    10. Basu, Anirban, 2015. "Welfare implications of learning through solicitation versus diversification in health care," Journal of Health Economics, Elsevier, vol. 42(C), pages 165-173.
    11. Stanca, Lorenzo, 2021. "Smooth aggregation of Bayesian experts," Journal of Economic Theory, Elsevier, vol. 196(C).
    12. Charles F. Manski, 2017. "Optimize, satisfice, or choose without deliberation? A simple minimax-regret assessment," Theory and Decision, Springer, vol. 83(2), pages 155-173, August.
    13. Anirban Basu, 2018. "Comment: Manski's views on patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1422-1424, October.
    14. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    15. T. D. Pol & S. Gabbert & H.-P. Weikard & E. C. Ierland & E. M. T. Hendrix, 2017. "A Minimax Regret Analysis of Flood Risk Management Strategies Under Climate Change Uncertainty and Emerging Information," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1087-1109, December.
    16. Charles Manski, 2011. "Actualist rationality," Theory and Decision, Springer, vol. 71(2), pages 195-210, August.

  53. Charles F. Manski & John V. Pepper, 2009. "More on monotone instrumental variables," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 200-216, January.

    Cited by:

    1. Jiang Zhichao & Chiba Yasutaka & VanderWeele Tyler J., 2014. "Monotone Confounding, Monotone Treatment Selection and Monotone Treatment Response," Journal of Causal Inference, De Gruyter, vol. 2(1), pages 1-12, March.
    2. Christian Bontemps & Thierry Magnac & Eric Maurin, 2012. "Set Identified Linear Models," Econometrica, Econometric Society, vol. 80(3), pages 1129-1155, May.
    3. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    4. Kamila Cygan‐Rehm & Daniel Kuehnle & Michael Oberfichtner, 2017. "Bounding the causal effect of unemployment on mental health: Nonparametric evidence from four countries," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1844-1861, December.
    5. Lorenzo Almada & Ian McCarthy & Rusty Tchernis, 2016. "What Can We Learn about the Effects of Food Stamps on Obesity in the Presence of Misreporting?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 997-1017.
    6. Matthew A Masten & Alexandre Poirier, 2023. "Choosing exogeneity assumptions in potential outcome models," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 327-349.
    7. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    8. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    9. Jiannan Lu & Peng Ding & Tirthankar Dasgupta, 2018. "Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds," Journal of Educational and Behavioral Statistics, , vol. 43(5), pages 540-567, October.
    10. Monique De Haan, 2017. "The Effect of Additional Funds for Low‐ability Pupils: A Non‐parametric Bounds Analysis," Economic Journal, Royal Economic Society, vol. 127(599), pages 177-198, February.
    11. Chalak, Karim & Kim, Daniel, 2020. "Measurement error in multiple equations: Tobin’s q and corporate investment, saving, and debt," Journal of Econometrics, Elsevier, vol. 214(2), pages 413-432.
    12. Haensch, Anna-Carolina & Drechsler, Jörg & Bernhard, Sarah, 2020. "TippingSens: An R Shiny Application to Facilitate Sensitivity Analysis for Causal Inference Under Confounding," IAB-Discussion Paper 202029, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Freyberger, Joachim & Horowitz, Joel L., 2015. "Identification and shape restrictions in nonparametric instrumental variables estimation," Journal of Econometrics, Elsevier, vol. 189(1), pages 41-53.
    14. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    15. Monique De Haan & Ragnhild C. Schreiner, 2018. "The Intergenerational Transmission of Welfare Dependency," CESifo Working Paper Series 7140, CESifo.
    16. Kyunghoon Ban & D'esir'e K'edagni, 2021. "Nonparametric Bounds on Treatment Effects with Imperfect Instruments," Papers 2109.14785, arXiv.org.
    17. Qian, Hang, 2011. "Bayesian inference with monotone instrumental variables," MPRA Paper 32672, University Library of Munich, Germany.
    18. Clarke, Damian & Matta, Benjamín, 2017. "Practical Considerations for Questionable IVs," MPRA Paper 79991, University Library of Munich, Germany.
    19. Richey, Jeremiah, 2015. "Shackled labor markets: Bounding the causal effects of criminal convictions in the U.S," International Review of Law and Economics, Elsevier, vol. 41(C), pages 17-24.
    20. Kreider, Brent & Moeller, John & Manski, Richard J. & Pepper, John, 2015. "The Effect of Dental Insurance on the Use of Dental Care for Older Adults: A Partial Identification Analysis," ISU General Staff Papers 201507010700001629, Iowa State University, Department of Economics.
    21. Okumura, Tsunao & 奥村, 綱雄 & オクムラ, ツナオ & Usui, Emiko & 臼井, 恵美子 & ウスイ, エミコ, 2010. "Concave-Monotone Treatment Response and Monotone Treatment Selection: With an Application to the Returns to Schooling," PIE/CIS Discussion Paper 475, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    22. Joachim Freyberger & Joel L. Horowitz, 2012. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers CWP15/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Depalo, Domenico, 2023. "Should the Daylight Saving Time be abolished? Evidence from work accidents in Italy," Economic Modelling, Elsevier, vol. 128(C).
    24. Demuynck, Thomas, 2015. "Bounding average treatment effects: A linear programming approach," Economics Letters, Elsevier, vol. 137(C), pages 75-77.
    25. Ting Ye & Luke Keele & Raiden Hasegawa & Dylan S. Small, 2020. "A Negative Correlation Strategy for Bracketing in Difference-in-Differences," Papers 2006.02423, arXiv.org, revised Jun 2022.
    26. Gundersen, Craig & Kreider, Brent & Pepper, John V., 2009. "The Impact of the National School Lunch Program on Child Health: A Nonparametric Bounds Analysis," Staff General Research Papers Archive 13148, Iowa State University, Department of Economics.
    27. Jan F. Kiviet, 2013. "Identification and inference in a simultaneous equation under alternative information sets and sampling schemes," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 24-59, February.
    28. Brent Kreider & John V. Pepper & Manan Roy, 2016. "Identifying the Effects of WIC on Food Insecurity Among Infants and Children," Southern Economic Journal, John Wiley & Sons, vol. 82(4), pages 1106-1122, April.
    29. Michela Bia & German Blanco & Marie Valentova, 2021. "The Causal Impact of Taking Parental Leave on Wages: Evidence from 2005 to 2015," LISER Working Paper Series 2021-08, Luxembourg Institute of Socio-Economic Research (LISER).
    30. Joachim Freyberger & Joel L. Horowitz, 2013. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 31/13, Institute for Fiscal Studies.
    31. Victor Chernozhukov & Denis Chetverikov & Kengo Kato & Yuta Koike, 2022. "High-dimensional Data Bootstrap," Papers 2205.09691, arXiv.org.
    32. Kedagni, Desire, 2018. "Identifying Treatment Effects in the Presence of Confounded Types," ISU General Staff Papers 201809110700001056, Iowa State University, Department of Economics.
    33. Sianesi, Barbara, 2017. "Evidence of randomisation bias in a large-scale social experiment: The case of ERA," Journal of Econometrics, Elsevier, vol. 198(1), pages 41-64.
    34. Das, Tirthatanmoy & Polachek, Solomon, 2017. "Micro Foundations of Earnings Differences," IZA Discussion Papers 10922, Institute of Labor Economics (IZA).
    35. Christelis, Dimitris & Dobrescu, Loretti I., 2020. "The causal effect of social activities on cognition: Evidence from 20 European countries," Social Science & Medicine, Elsevier, vol. 247(C).
    36. Stefanie Hof, 2014. "Does Private Tutoring Work? The Effectiveness of Private Tutoring: A Nonparametric Bounds Analysis," Economics of Education Working Paper Series 0096, University of Zurich, Department of Business Administration (IBW).
    37. Richey, Jeremiah, 2012. "The Causal Effects of Criminal Convictions on Labor Market Outcomes in Young Men: A Nonparametric Bounds Analysis," MPRA Paper 56112, University Library of Munich, Germany.
    38. Qian, Hang, 2011. "Sampling Variation, Monotone Instrumental Variables and the Bootstrap Bias Correction," MPRA Paper 32634, University Library of Munich, Germany.
    39. Cheti Nicoletti & Franco Peracchi & Francesca Foliano, 2011. "Estimating Income Poverty in the Presence of Missing Data and Measurement Error," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 61-72, January.
    40. Stefan Boes, 2010. "Convex Treatment Response and Treatment Selection," SOI - Working Papers 1001, Socioeconomic Institute - University of Zurich.
    41. Siwach, Garima, 2017. "Criminal background checks and recidivism: Bounding the causal impact," International Review of Law and Economics, Elsevier, vol. 52(C), pages 74-85.
    42. Joachim Freyberger & Joel L. Horowitz, 2013. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers CWP31/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    43. Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
    44. Fan Yang & Dylan S. Small, 2016. "Using post-outcome measurement information in censoring-by-death problems," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(1), pages 299-318, January.
    45. Xu, Chen & Liu, Xiao, 2023. "The economic value of language in China: How important is Mandarin proficiency in the Chinese labor market? A bounding approach," Labour Economics, Elsevier, vol. 84(C).
    46. Vishal Kamat & Samuel Norris & Matthew Pecenco, 2023. "Identification in Multiple Treatment Models under Discrete Variation," Papers 2307.06174, arXiv.org.
    47. S. Sriram & Puneet Manchanda & Mercedes Bravo & Junhong Chu & Liye Ma & Minjae Song & Scott Shriver & Upender Subramanian, 2015. "Platforms: a multiplicity of research opportunities," Marketing Letters, Springer, vol. 26(2), pages 141-152, June.
    48. Stefan Boes, 2009. "Partial Identification of Discrete Counterfactual Distributions with Sequential Update of Information," SOI - Working Papers 0918, Socioeconomic Institute - University of Zurich.
    49. Joachim Freyberger & Joel L. Horowitz, 2012. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 15/12, Institute for Fiscal Studies.

  54. Charles F. Manski, 2009. "Social Planning with Partial Knowledge of Social Interactions," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 165(1), pages 146-158, March.

    Cited by:

    1. Christoph Engel & Urs Schweizer, 2009. "Editorial Preface," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 165(1), pages 1-4, March.

  55. Engelberg, Joseph & Manski, Charles F. & Williams, Jared, 2009. "Comparing the Point Predictions and Subjective Probability Distributions of Professional Forecasters," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 30-41.
    See citations under working paper version above.
  56. Charles F. Manski, 2008. "Studying Treatment Response to Inform Treatment Choice," Annals of Economics and Statistics, GENES, issue 91-92, pages 93-105.

    Cited by:

    1. Charles F. Manski, 2017. "Improving Clinical Guidelines and Decisions under Uncertainty," NBER Working Papers 23915, National Bureau of Economic Research, Inc.
    2. Charles F. Manski, 2018. "Reasonable patient care under uncertainty," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1397-1421, October.

  57. Charles F. Manski, 2007. "Partial Identification Of Counterfactual Choice Probabilities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1393-1410, November.

    Cited by:

    1. Sam Cosaert & Thomas Demuynck, 2018. "Nonparametric welfare and demand analysis with unobserved individual heterogeneity," ULB Institutional Repository 2013/251988, ULB -- Universite Libre de Bruxelles.
    2. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    3. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    4. Natalia Lazzati & John K.-H. Quah & Koji Shirai, 2016. "A revealed preference theory of monotone choice and strategic complementarity," Discussion Paper Series 147, School of Economics, Kwansei Gakuin University, revised Oct 2016.
    5. Komarova, Tatiana, 2013. "Binary choice models with discrete regressors: Identification and misspecification," Journal of Econometrics, Elsevier, vol. 177(1), pages 14-33.
    6. Jorg Stoye & Yuichi Kitamura, 2017. "Nonparametric analysis of random utility models," CeMMAP working papers 56/17, Institute for Fiscal Studies.
    7. Yingying Dong & Arthur Lewbel & Thomas Tao Yang, 2012. "Comparing Features of Convenient Estimators for Binary Choice Models With Endogenous Regressors," Boston College Working Papers in Economics 789, Boston College Department of Economics, revised 15 May 2012.
    8. Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
    9. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    10. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    11. Lukáš Lafférs, 2019. "Bounding average treatment effects using linear programming," Empirical Economics, Springer, vol. 57(3), pages 727-767, September.
    12. Handel, Benjamin R. & Misra, Kanishka & Roberts, James W., 2013. "Robust firm pricing with panel data," Journal of Econometrics, Elsevier, vol. 174(2), pages 165-185.
    13. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2023.
    14. Yingying Dong & Arthur Lewbel, 2012. "A Simple Estimator for Binary Choice Models With Endogenous Regressors," Boston College Working Papers in Economics 807, Boston College Department of Economics.
    15. Asher A. Blass & Saul Lach & Charles F. Manski, 2008. "Using Elicited Choice Probabilities to Estimate Random Utility Models: Preferences for Electricity Reliability," NBER Working Papers 14451, National Bureau of Economic Research, Inc.
    16. Hubner, Stefan, 2016. "Topics in nonparametric identification and estimation," Other publications TiSEM 08fce56b-3193-46e0-871b-0, Tilburg University, School of Economics and Management.
    17. Demuynck, Thomas, 2015. "Bounding average treatment effects: A linear programming approach," Economics Letters, Elsevier, vol. 137(C), pages 75-77.
    18. Toulis, Panos, 2021. "Estimation of Covid-19 prevalence from serology tests: A partial identification approach," Journal of Econometrics, Elsevier, vol. 220(1), pages 193-213.
    19. Yuichi Kitamura & Jorg Stoye, 2019. "Nonparametric Counterfactuals in Random Utility Models," Papers 1902.08350, arXiv.org, revised May 2019.
    20. Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012. "Viewpoint: Comparing features of convenient estimators for binary choice models with endogenous regressors," Canadian Journal of Economics, Canadian Economics Association, vol. 45(3), pages 809-829, August.
    21. Charles F. Manski, 2018. "More on random utility models with bounded ambiguity," Theory and Decision, Springer, vol. 84(2), pages 205-213, March.
    22. Stefan Hoderlein & Jörg Stoye, 2015. "Testing stochastic rationality and predicting stochastic demand: the case of two goods," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 3(2), pages 313-328, October.
    23. Huber, Martin & Laffers, Lukáš, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," FSES Working Papers 514, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    24. Panos Toulis, 2020. "Estimation of Covid-19 Prevalence from Serology Tests: A Partial Identification Approach," Papers 2006.16214, arXiv.org.
    25. Natalia Lazzati & John K.-H. Quah & Koji Shirai, 2018. "Nonparametric analysis of monotone choice," Discussion Paper Series 184, School of Economics, Kwansei Gakuin University.
    26. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    27. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    28. Allen, Roy & Rehbeck, John, 2022. "Latent complementarity in bundles models," Journal of Econometrics, Elsevier, vol. 228(2), pages 322-341.
    29. Panos Toulis, 2020. "Estimation of COVID-19 Prevalence from Serology Tests: A Partial Identification Approach," Working Papers 2020-54_Revised, Becker Friedman Institute for Research In Economics.

  58. Manski, Charles F., 2007. "Minimax-regret treatment choice with missing outcome data," Journal of Econometrics, Elsevier, vol. 139(1), pages 105-115, July.

    Cited by:

    1. Ng, Tsan Sheng, 2013. "Robust regret for uncertain linear programs with application to co-production models," European Journal of Operational Research, Elsevier, vol. 227(3), pages 483-493.
    2. Andrea Gallice, 2007. "Some equivalence results between mixed strategy Nash equilibria and minimax regret in 2x2 games," Economics Bulletin, AccessEcon, vol. 3(29), pages 1-8.
    3. Manski, Charles F., 2023. "Probabilistic prediction for binary treatment choice: With focus on personalized medicine," Journal of Econometrics, Elsevier, vol. 234(2), pages 647-663.
    4. Lihua Lei & Roshni Sahoo & Stefan Wager, 2023. "Policy Learning under Biased Sample Selection," Papers 2304.11735, arXiv.org.
    5. William A. Brock & Steven N. Durlauf & James M. Nason & Giacomo Rondina, 2007. "Simple versus optimal rules as guides to policy," FRB Atlanta Working Paper 2007-07, Federal Reserve Bank of Atlanta.
    6. Charles F. Manski, 2007. "Adaptive Minimax-Regret Treatment Choice, With Application To Drug Approval," NBER Working Papers 13312, National Bureau of Economic Research, Inc.
    7. Stoye, Jörg, 2012. "Minimax regret treatment choice with covariates or with limited validity of experiments," Journal of Econometrics, Elsevier, vol. 166(1), pages 138-156.
    8. Tetenov, Aleksey, 2012. "Statistical treatment choice based on asymmetric minimax regret criteria," Journal of Econometrics, Elsevier, vol. 166(1), pages 157-165.
    9. Charles F. Manski, 2019. "Statistical inference for statistical decisions," Papers 1909.06853, arXiv.org.
    10. Lechner, Michael & Frölich, Markus & Behncke, Stefanie, 2007. "Targeting Labour Market Programmes - Results from A Randomised Experiment," CEPR Discussion Papers 6537, C.E.P.R. Discussion Papers.
    11. Daido Kido, 2023. "Locally Asymptotically Minimax Statistical Treatment Rules Under Partial Identification," Papers 2311.08958, arXiv.org.
    12. Achim Ahrens & Alessandra Stampi-Bombelli & Selina Kurer & Dominik Hangartner, 2023. "Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization," Papers 2305.00545, arXiv.org, revised Feb 2024.
    13. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2023.
    14. Chunrong Ai & Yue Fang & Haitian Xie, 2024. "Data-driven Policy Learning for a Continuous Treatment," Papers 2402.02535, arXiv.org.
    15. Iverson, Terrence, 2012. "Communicating Trade-offs amid Controversial Science: Decision Support for Climate Policy," Ecological Economics, Elsevier, vol. 77(C), pages 74-90.
    16. Alexei N. Parakhonyak & Anton Sobolev, 2014. "Non-Reservation Price Equilibria And Search Without Priors," HSE Working papers WP BRP 69/EC/2014, National Research University Higher School of Economics.
    17. Raghu Suryanarayanan, 2006. "Implications of Anticipated Regret and Endogenous Beliefs for Equilibrium Asset Prices: A Theoretical Framework," CSEF Working Papers 162, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    18. Stoye, Jörg, 2009. "Minimax regret treatment choice with finite samples," Journal of Econometrics, Elsevier, vol. 151(1), pages 70-81, July.
    19. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Feb 2024.
    20. Cohen-Cole, Ethan B. & Durlauf, Steven N. & Rondina, Giacomo, 2012. "Nonlinearities in growth: From evidence to policy," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 42-58.
    21. Charles F. Manski & Aleksey Tetenov, 2015. "Clinical trial design enabling epsilon-optimal treatment rules," Carlo Alberto Notebooks 430, Collegio Carlo Alberto.
    22. Stoye, Jörg, 2011. "Axioms for minimax regret choice correspondences," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2226-2251.
    23. Charles F. Manski, 2005. "Fractional Treatment Rules for Social Diversification of Indivisible Private Risks," NBER Working Papers 11675, National Bureau of Economic Research, Inc.
    24. Iverson, Terrence, 2013. "Minimax regret discounting," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 598-608.
    25. Raghu Suryanarayanan, 2006. "A Model of Anticipated Regret and Endogenous Beliefs," CSEF Working Papers 161, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 01 Dec 2008.
    26. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.
    27. García-Pola, Bernardo, 2020. "Do people minimize regret in strategic situations? A level-k comparison," Games and Economic Behavior, Elsevier, vol. 124(C), pages 82-104.
    28. Evan Sadler, 2015. "Minimax and the value of information," Theory and Decision, Springer, vol. 78(4), pages 575-586, April.
    29. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," PIER Working Paper Archive 20-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
      • Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
    30. Gallice, Andrea, 2007. "Best Responding to What? A Behavioral Approach to One Shot Play in 2x2 Games," Discussion Papers in Economics 1365, University of Munich, Department of Economics.
    31. Charles F. Manski & Aleksey Tetenov, 2015. "Clinical trial design enabling e-optimal treatment rules," CeMMAP working papers CWP60/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  59. Jeff Dominitz & Charles F. Manski, 2007. "Expected Equity Returns and Portfolio Choice: Evidence from the Health and Retirement Study," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 369-379, 04-05.

    Cited by:

    1. Breunig, Christoph & Huck, Steffen & Schmidt, Tobias & Weizsäcker, Georg, 2019. "The Standard Portfolio Choice Problem in Germany," Rationality and Competition Discussion Paper Series 171, CRC TRR 190 Rationality and Competition.
    2. Olivier Armantier & Jérôme Foncel & Nicolas Treich, 2023. "Insurance and portfolio decisions: Two sides of the same coin?," Post-Print hal-04062463, HAL.
    3. Luc Arrondel & Jérôme Coffinet, 2021. "Preparing for the tax reform: the risky French households' portfolio in 2018," Working Papers halshs-03322577, HAL.
    4. Christopher Roth & Johannes Wohlfart, 2020. "How Do Expectations about the Macroeconomy Affect Personal Expectations and Behavior?," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 731-748, October.
    5. Lee, Boram & Rosenthal, Leonard & Veld, Chris & Veld-Merkoulova, Yulia, 2015. "Stock market expectations and risk aversion of individual investors," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 122-131.
    6. Thierry Kalisa & Mary Riddel & W. Douglass Shaw, 2016. "Willingness to pay to avoid arsenic-related risks: a special regressor approach," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 5(2), pages 143-162, July.
    7. Fabian Gouret & Guillaume Hollard, 2011. "When Kahneman meets Manski: Using dual systems of reasoning to interpret subjective expectations of equity returns," Post-Print halshs-00867700, HAL.
    8. Gabriel Desgranges & Stéphane Gauthier, 2013. "Asymmetric Information and Rationalizability," PSE-Ecole d'économie de Paris (Postprint) hal-00780372, HAL.
    9. Kaustia, Markku & Conlin, Andrew & Luotonen, Niilo, 2023. "What drives stock market participation? The role of institutional, traditional, and behavioral factors," Journal of Banking & Finance, Elsevier, vol. 148(C).
    10. Michael Haliassos & Hector F. CALVO PARDO & Chryssi Giannitsarou & Luc Arrondel, 2016. "Informative Social Interactions," 2016 Meeting Papers 636, Society for Economic Dynamics.
    11. Stefano Giglio & Matteo Maggiori & Johannes Stroebel & Stephen Utkus, 2019. "Five Facts about Beliefs and Portfolios," NBER Working Papers 25744, National Bureau of Economic Research, Inc.
    12. Sreyoshi Das & Camelia M Kuhnen & Stefan Nagel, 2020. "Socioeconomic Status and Macroeconomic Expectations," The Review of Financial Studies, Society for Financial Studies, vol. 33(1), pages 395-432.
    13. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    14. Charles Bellemare & Sabine Kröger & Kouamé Marius Sossou, 2018. "Reporting probabilistic expectations with dynamic uncertainty about possible distributions," Journal of Risk and Uncertainty, Springer, vol. 57(2), pages 153-176, October.
    15. Barth, Daniel & Papageorge, Nicholas W. & Thom, Kevin, 2017. "Genetic Ability, Wealth, and Financial Decision-Making," IZA Discussion Papers 10567, Institute of Labor Economics (IZA).
    16. Adeline Delavande & Susann Rohwedder, 2008. "Eliciting Subjective Expectations in Internet Surveys," Working Papers WR-589, RAND Corporation.
    17. Beutel, Johannes & Metiu, Norbert & Stockerl, Valentin, 2021. "Toothless tiger with claws? Financial stability communication, expectations, and risk-taking," Discussion Papers 05/2021, Deutsche Bundesbank.
    18. Fabian Gouret, 2017. "What can we learn from the fifties?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 756-775, November.
    19. Luc Bissonnette & Michael D. Hurd & Pierre-Carl Michaud, 2014. "Individual Survival Curves Comparing Subjective and Observed Mortality Risks," Cahiers de recherche 1404, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    20. Heiss, Florian & Hurd, Michael & Rossmann, Tobias & Winter, Joachim & van Rooij, Maarten, 2019. "Dynamics and Heterogeneity of Subjective Stock Market Expectations," Rationality and Competition Discussion Paper Series 157, CRC TRR 190 Rationality and Competition.
    21. Wilbert van der Klaauw & Wandi Bruine de Bruin & Giorgio Topa & Basit Zafar & Olivier Armantier, 2012. "Inflation Expectations and Behavior: Do Survey Respondents Act on their Beliefs?," 2012 Meeting Papers 121, Society for Economic Dynamics.
    22. Niu, G., 2014. "Essays on subjective expectations and mortality trends," Other publications TiSEM b9f72836-d8ad-478b-adca-4, Tilburg University, School of Economics and Management.
    23. Luc Arrondel & André Masson, 2017. "Why does household demand for shares decline during the crisis? The French case," PSE-Ecole d'économie de Paris (Postprint) hal-01784320, HAL.
    24. Da Ke, 2021. "Who Wears the Pants? Gender Identity Norms and Intrahousehold Financial Decision‐Making," Journal of Finance, American Finance Association, vol. 76(3), pages 1389-1425, June.
    25. Michael D. Hurd & Susann Rohwedder, 2012. "Stock Price Expectations and Stock Trading," NBER Working Papers 17973, National Bureau of Economic Research, Inc.
    26. Merkoulova, Yulia & Veld, Chris, 2022. "Does it pay to invest? The personal equity risk premium and stock market participation," Journal of Banking & Finance, Elsevier, vol. 136(C).
    27. Olympia Bover, 2015. "Measuring expectations from household surveys: new results on subjective probabilities of future house prices," Working Papers 1535, Banco de España.
    28. Jeff Dominitz & Angela Hung, 2006. "Retirement Savings Portfolio Management," Working Papers wp138, University of Michigan, Michigan Retirement Research Center.
    29. Hans-Martin von Gaudecker & Axel Wogrolly & Hans-Martin von Gaudecker, 2019. "The dynamics of households' stock market beliefs," CESifo Working Paper Series 7602, CESifo.
    30. Sarah Kiesl-Reiter & Melanie Lührmann & Jonathan Shaw & Joachim Winter, 2024. "The Formation of Subjective House Price Expectations," Rationality and Competition Discussion Paper Series 491, CRC TRR 190 Rationality and Competition.
    31. Daniel J. Benjamin & Don A. Moore & Matthew Rabin, 2017. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments," NBER Working Papers 23927, National Bureau of Economic Research, Inc.
    32. Richard Sias & Laura Starks & Harry J. Turtle, 2020. "Molecular Genetics, Risk Aversion, Return Perceptions, and Stock Market Participation," NBER Working Papers 27638, National Bureau of Economic Research, Inc.
    33. Raffaele Miniaci & Sergio Pastorello, 2008. "Mean-Variance Econometric Analysis of Household Portfolios," Working Papers 0807, University of Brescia, Department of Economics.
    34. Brückbauer, Frank, 2022. "Do financial market experts know their theory? New evidence from survey data," ZEW Discussion Papers 20-092, ZEW - Leibniz Centre for European Economic Research, revised 2022.
    35. Mary Riddel, 2009. "Risk Perception, Ambiguity, and Nuclear‐Waste Transport," Southern Economic Journal, John Wiley & Sons, vol. 75(3), pages 781-797, January.
    36. Maximilian Blesch & Philipp Eisenhauer & Peter Haan & Boryana Ilieva & Annekatrin Schrenker & Georg Weizsäcker, 2023. "Biased Wage Expectations and Female Labor Supply," Rationality and Competition Discussion Paper Series 411, CRC TRR 190 Rationality and Competition.
    37. Miguel Ampudia & Michael Ehrmann, 2014. "Macroeconomic Experiences and Risk Taking of Euro Area Households," Staff Working Papers 14-10, Bank of Canada.
    38. Ingar Haaland & Ole-Andreas Elvik Næss & Ingar K. Haaland, 2023. "Misperceived Returns to Active Investing," CESifo Working Paper Series 10257, CESifo.
    39. Kaustia, Markku & Lehtoranta, Antti & Puttonen, Vesa, 2013. "Does sophistication affect long-term return expectations? Evidence from financial advisers' exam scores," SAFE Working Paper Series 3, Leibniz Institute for Financial Research SAFE.
    40. Barth, Daniel, 2014. "The costs and beliefs impliedby direct stock ownership," Working Paper Series 1657, European Central Bank.
    41. Merkoulova, Yulia & Veld, Chris, 2022. "Why do individuals not participate in the stock market?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    42. D’Hondt, Catherine & De Winne, Rudy & Merli, Maxime, 2021. "Do retail investors bite off more than they can chew? A close look at their return objectives," LIDAM Reprints LFIN 2021015, Université catholique de Louvain, Louvain Finance (LFIN).
    43. Francesco D'Acunto & Thomas Rauter & Christoph Scheuch & Michael Weber & Michael Weber, 2020. "Perceived Precautionary Savings Motives: Evidence from FinTech," CESifo Working Paper Series 8123, CESifo.
    44. Alycia Chin & Wändi Bruin, 2017. "Understanding the Formation of Consumers' Stock Market Expectations," Journal of Consumer Affairs, Wiley Blackwell, vol. 51(1), pages 200-210, March.
    45. Ashok Thomas & Luca Spataro, 2015. "Financial Literacy, Human Capital and Stock Market Participation in Europe: An Empirical Exercise under Endogenous Framework," Discussion Papers 2015/194, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    46. Schwandt, Hannes, 2014. "Wealth shocks and health outcomes: evidence from stock market fluctuations," LSE Research Online Documents on Economics 60352, London School of Economics and Political Science, LSE Library.
    47. Daniel Barth, 2018. "The Costs and Beliefs Implied by Direct Stock Ownership," Management Science, INFORMS, vol. 64(11), pages 5263-5288, November.
    48. Rüdiger Weber & Annika Weber & Christine Laudenbach & Johannes Wohlfart, 2021. "Beliefs About the Stock Market and Investment Choices: Evidence from a Field Experiment," CEBI working paper series 21-17, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    49. John Ameriks & Gábor Kézdi & Minjoon Lee & Matthew D. Shapiro, 2020. "Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 633-646, July.
    50. Tuukka Saarimaa, 2008. "Owner-Occupied Housing and Demand for Risky Financial Assets: Some Finnish Evidence," Finnish Economic Papers, Finnish Economic Association, vol. 21(1), pages 22-38, Spring.
    51. Tobin Hanspal & Annika Weber & Johannes Wohlfart, 2020. "Exposure to the COVID-19 Stock Market Crash and its Effect on Household Expectations," CEBI working paper series 20-13, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    52. Müller, Helge & Schumacher, Christoph & Feess, Eberhard, 2011. "Gender behavior in betting markets," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48697, Verein für Socialpolitik / German Economic Association.
    53. Jacobsen, Ben & Lee, John B. & Marquering, Wessel & Zhang, Cherry Y., 2014. "Gender differences in optimism and asset allocation," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 630-651.
    54. Hanspal, Tobin & Weber, Annika & Wohlfart, Johannes, 2020. "Exposure to the COVID-19 stock market crash and its effect on household expectations," SAFE Working Paper Series 279, Leibniz Institute for Financial Research SAFE.
    55. Sias, Richard & Starks, Laura T. & Turtle, H.J., 2023. "The negativity bias and perceived return distributions: Evidence from a pandemic," Journal of Financial Economics, Elsevier, vol. 147(3), pages 627-657.
    56. von Gaudecker, Hans-Martin & Wogrolly, Axel, 2022. "Heterogeneity in households’ stock market beliefs," Journal of Econometrics, Elsevier, vol. 231(1), pages 232-247.
    57. Marco Angrisani & Michael D. Hurd & Erik Meijer, 2012. "Investment Decisions in Retirement: The Role of Subjective Expectations," Working Papers wp274, University of Michigan, Michigan Retirement Research Center.
    58. Christine Laudenbach & Annika Weber & Johannes Wohlfart, 2021. "Beliefs About the Stock Market and Investment Choices: Evidence from a Field Experiment," ECONtribute Discussion Papers Series 128, University of Bonn and University of Cologne, Germany.

  60. Jeff Dominitz & Charles F. Manski, 2006. "Measuring Pension‐benefit Expectations Probabilistically," LABOUR, CEIS, vol. 20(2), pages 201-236, June.

    Cited by:

    1. van Santen, Peter, 2016. "Uncertain pension income and household saving," Working Paper Series 330, Sveriges Riksbank (Central Bank of Sweden).
    2. Helen Levy & Kristin Seefeldt, 2008. "How Do Lower-Income Families Think about Retirement?," Working Papers wp195, University of Michigan, Michigan Retirement Research Center.
    3. Tsunao Okumura & Emiko Usui, 2014. "The effect of pension reform on pension-benefit expectations and savings decisions in Japan," Applied Economics, Taylor & Francis Journals, vol. 46(14), pages 1677-1691, May.
    4. Luc Bissonnette & J. de Bresser, 2015. "Eliciting Subjective Survival Curves: Lessons from Partial Identification," Cahiers de recherche 1503, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    5. Adeline Delavande & Susann Rohwedder, 2010. "Individuals' Uncertainty about Future Social Security Benefits and Portfolio Choice," Working Papers WR-782, RAND Corporation.
    6. Teresa Bago d'Uva & Esen Erdogan Ciftci & Owen O'Donnell & Eddy van Doorslaer, 2015. "Who can predict their Own Demise? Accuracy of Longevity Expectations by Education and Cognition," Tinbergen Institute Discussion Papers 15-052/V, Tinbergen Institute.
    7. Tullio Jappelli & Immacolata Marino & Mario Padula, 2019. "Pension Uncertainty and Demand for Retirement Saving," CSEF Working Papers 526, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    8. Bago d'Uva, Teresa & O'Donnell, Owen & van Doorslaer, Eddy, 2020. "Who can predict their own demise? Heterogeneity in the accuracy and value of longevity expectations☆," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    9. María J. Prados & Arie Kapteyn, 2019. "Subjective Expectations, Social Security Benefits, and the Optimal Path to Retirement," Working Papers wp405, University of Michigan, Michigan Retirement Research Center.
    10. Markus Knell & Esther Segalla & Andrea Weber, 2015. "Expected retirement age and pension benefits in Austria: evidence from survey data," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 35-57.
    11. Jochem Bresser & Arthur Soest, 2015. "Retirement Expectations and Satisfaction with Retirement Provisions," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(1), pages 119-139, March.
    12. Basiglio, Stefania, 2018. "Essays on financial behaviour of households and firms," Other publications TiSEM c13423c5-8bf2-44a7-baa7-3, Tilburg University, School of Economics and Management.
    13. Marek Gora & Anna Ruzik-Sierdzinska, 2020. "Migration with pension reform expectations," Public Sector Economics, Institute of Public Finance, vol. 44(2), pages 203-219.
    14. Luigi Guiso & Tullio Jappelli & Mario Padula, 2009. "Pension Risk, Retirement Saving and Insurance," Economics Working Papers ECO2009/18, European University Institute.
    15. de Bresser, Jochem & van Soest, Arthur, 2013. "Survey response in probabilistic questions and its impact on inference," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 65-84.
    16. Fang, H., 2016. "Insurance Markets for the Elderly," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 237-309, Elsevier.
    17. Luigi Guiso & Tullio Jappelli & Mario Padula, 2013. "Pension Wealth Uncertainty," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(4), pages 1057-1085, December.
    18. van Santen, Peter & Alessie, Rob & Kalwij, Adriaan, 2012. "Probabilistic survey questions and incorrect answers: Retirement income replacement rates," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 267-280.
    19. Bissonnette, L. & van Soest, A.H.O., 2010. "Retirement Expectations, Preferences, and Decisions," Other publications TiSEM 45e93b08-cc1d-47c6-ba06-d, Tilburg University, School of Economics and Management.
    20. Toshio Fujimi & Hirokazu Tatano, 2013. "Promoting Seismic Retrofit Implementation Through “Nudge”: Using Warranty as a Driver," Risk Analysis, John Wiley & Sons, vol. 33(10), pages 1858-1883, October.

  61. Manski, Charles F., 2006. "Interpreting the predictions of prediction markets," Economics Letters, Elsevier, vol. 91(3), pages 425-429, June.
    See citations under working paper version above.
  62. Horowitz, Joel L. & Manski, Charles F., 2006. "Identification and estimation of statistical functionals using incomplete data," Journal of Econometrics, Elsevier, vol. 132(2), pages 445-459, June.

    Cited by:

    1. Patrick Kline & Andres Santos, 2013. "Sensitivity to missing data assumptions: Theory and an evaluation of the U.S. wage structure," Quantitative Economics, Econometric Society, vol. 4(2), pages 231-267, July.
    2. Alfonsi, Livia & Namubiru, Mary & Spaziani, Sara, 2022. "Gender Gaps: Back and Here to Stay? Evidence from Skilled Ugandan Workers during COVID-19," Institute for Research on Labor and Employment, Working Paper Series qt44s4b2dk, Institute of Industrial Relations, UC Berkeley.
    3. Tatiana V. Komarova & Denis Nekipelov & Evgeny Yakovlev, 2011. "Identification, data combination and the risk of disclosure," CeMMAP working papers CWP38/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Patrick Schmidt & Matthias Katzfuss & Tilmann Gneiting, 2021. "Interpretation of point forecasts with unknown directive," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 728-743, September.
    5. Liu, Yu-Hsin, 2011. "Incorporating scatter search and threshold accepting in finding maximum likelihood estimates for the multinomial probit model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 130-138, May.
    6. Montiel Olea, José Luis & Nesbit, James, 2021. "(Machine) learning parameter regions," Journal of Econometrics, Elsevier, vol. 222(1), pages 716-744.
    7. Conniffe, Denis & O'Neill, Donal, 2009. "Efficient Probit Estimation with Partially Missing Covariates," IZA Discussion Papers 4081, Institute of Labor Economics (IZA).
    8. Carlos Madeira, 2022. "Partial identification of nonlinear peer effects models with missing data," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-18, December.
    9. Gneiting, Tilmann, 2011. "Making and Evaluating Point Forecasts," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 746-762.
    10. McGovern, Mark E. & Canning, David & Bärnighausen, Till, 2018. "Accounting for non-response bias using participation incentives and survey design: An application using gift vouchers," Economics Letters, Elsevier, vol. 171(C), pages 239-244.
    11. Ana Belén Ramos-Guajardo, 2022. "A hierarchical clustering method for random intervals based on a similarity measure," Computational Statistics, Springer, vol. 37(1), pages 229-261, March.
    12. Lee, Y-Y. & Bhattacharya, D., 2018. "Applied Welfare Analysis for Discrete Choice with Interval-data on Income," Cambridge Working Papers in Economics 1882, Faculty of Economics, University of Cambridge.
    13. Minna Genbäck & Elena Stanghellini & Xavier Luna, 2015. "Uncertainty intervals for regression parameters with non-ignorable missingness in the outcome," Statistical Papers, Springer, vol. 56(3), pages 829-847, August.
    14. Lidan Grossmass, 2014. "Obtaining and Predicting the Bounds of Realized Correlations," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(III), pages 191-226, September.
    15. Pudney, Stephen, 2009. "Participation in disability benefit programmes: a partial identification analysis of the British Attendance Allowance system," ISER Working Paper Series 2009-19, Institute for Social and Economic Research.
    16. Cunguara, Benedito & Darnhofer, Ika, 2011. "Assessing the impact of improved agricultural technologies on household income in rural Mozambique," Food Policy, Elsevier, vol. 36(3), pages 378-390, June.
    17. Denis Conniffe & Donal O’Neill, 2008. "An Efficient Estimator for Dealing with Missing Data on Explanatory Variables in a Probit Choice Model," Economics Department Working Paper Series n1960908.pdf, Department of Economics, National University of Ireland - Maynooth.
    18. Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers CWP55/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Mark McGovern & David Canning & Till Bärnighausen, 2018. "Accounting for Non-Response Bias using Participation Incentives and Survey Design," CHaRMS Working Papers 18-02, Centre for HeAlth Research at the Management School (CHaRMS).
    20. Esteban-Bravo, Mercedes & Vidal-Sanz, Jose M., 2007. "Worst-case estimation for econometric models with unobservable components," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3330-3354, April.

  63. Charles F. Manski, 2006. "Search Profiling With Partial Knowledge of Deterrence," Economic Journal, Royal Economic Society, vol. 116(515), pages 385-401, November.
    See citations under working paper version above.
  64. Charles F. Manski, 2006. "Profiling: Introduction to the Feature," Economic Journal, Royal Economic Society, vol. 116(515), pages 347-350, November.

    Cited by:

    1. Michael Rosholm & Jonas Staghøj & Michael Svarer, 2007. "A Statistical Programme Assignment Model," Economics Working Papers 2007-16, Department of Economics and Business Economics, Aarhus University.
    2. Huseyin Cavusoglu & Young Kwark & Bin Mai & Srinivasan Raghunathan, 2013. "Passenger Profiling and Screening for Aviation Security in the Presence of Strategic Attackers," Decision Analysis, INFORMS, vol. 10(1), pages 63-81, March.

  65. Mark D. Manuszak & Charles F. Manski & Sanghamitra Das, 2005. "Walk or wait? An empirical analysis of street crossing decisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 529-548.
    See citations under working paper version above.
  66. Charles F. Manski, 2005. "Optimal Search Profiling with Linear Deterrence," American Economic Review, American Economic Association, vol. 95(2), pages 122-126, May.

    Cited by:

    1. Charles F. Manski, 2015. "Randomizing Regulatory Approval for Adaptive Diversification and Deterrence," The Journal of Legal Studies, University of Chicago Press, vol. 44(S2), pages 367-385.
    2. Charles F. Manski, 2005. "Search Profiling with Partial Knowledge of Deterrence," NBER Working Papers 11848, National Bureau of Economic Research, Inc.
    3. Nicolás Grau & Damián Vergara, "undated". "A Simple Test for Prejudice in Decision Processes: The Prediction-Based Outcome Test," Working Papers wp493, University of Chile, Department of Economics.
    4. Karlan, Dean & Morduch, Jonathan, 2010. "Access to Finance," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4703-4784, Elsevier.
    5. Juliano Assuncao & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," Working Papers tecipa-631, University of Toronto, Department of Economics.

  67. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
    See citations under working paper version above.
  68. Charles F. Manski, 2004. "Social Learning from Private Experiences: The Dynamics of the Selection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(2), pages 443-458.

    Cited by:

    1. Rafael Lalive & Alejandra Cattaneo, 2006. "Social Interactions and Schooling Decisions," IEW - Working Papers 298, Institute for Empirical Research in Economics - University of Zurich.
    2. Fabio David Nieto, 2016. "Discriminación y diferenciales de salarios en el mercado laboral," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 115-134, January-J.
    3. Franklin Simtowe & Solomon Asfaw & Tsedeke Abate, 2016. "Determinants of agricultural technology adoption under partial population awareness: the case of pigeonpea in Malawi," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 4(1), pages 1-21, December.
    4. Charles F. Manski, 2014. "Choosing Size of Government Under Ambiguity: Infrastructure Spending and Income Taxation," Economic Journal, Royal Economic Society, vol. 0(576), pages 359-376, May.
    5. Mengel, Friederike, 2008. "Matching structure and the cultural transmission of social norms," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 608-623, September.
    6. Brice Romuald Gueyap Kounga, 2023. "Identification and Estimation of a Semiparametric Logit Model using Network Data," Papers 2310.07151, arXiv.org.
    7. Samuli Leppälä, 2012. "Economic Analysis Of Knowledge: The History Of Thought And The Central Themes," Center for the History of Political Economy Working Paper Series 2012-05, Center for the History of Political Economy.
    8. Galichon, Alfred & Henry, Marc, 2009. "A test of non-identifying restrictions and confidence regions for partially identified parameters," Journal of Econometrics, Elsevier, vol. 152(2), pages 186-196, October.
    9. Galichon, Alfred & Henry, Marc, 2013. "Dilation bootstrap," Journal of Econometrics, Elsevier, vol. 177(1), pages 109-115.
    10. Michael Lechner & Ruth Miquel, 2005. "Identification of the Effects of Dynamic Treatments by Sequential Conditional Independence Assumptions," University of St. Gallen Department of Economics working paper series 2005 2005-17, Department of Economics, University of St. Gallen.
    11. William A. Brock & Steven N. Durlauf, 2009. "Adoption Curves and Social Interactions," NBER Working Papers 15065, National Bureau of Economic Research, Inc.
    12. Simon Gleyze & Philippe Jehiel, 2023. "Expectation Formation, Local Sampling and Belief Traps: A new Perspective on Education Choices," Working Papers halshs-04154324, HAL.
    13. Leiter, Debra & Murr, Andreas & Rascón Ramírez, Ericka & Stegmaier, Mary, 2018. "Social networks and citizen election forecasting: The more friends the better," International Journal of Forecasting, Elsevier, vol. 34(2), pages 235-248.
    14. Bryan S. Graham, 2015. "An econometric model of link formation with degree heterogeneity," CeMMAP working papers CWP43/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. H. Peyton Young, 2009. "Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning," American Economic Review, American Economic Association, vol. 99(5), pages 1899-1924, December.
    16. Linda Datcher Loury, 2006. "All in the Extended Family: Effects of Grandparents, Aunts, and Uncles on Educational Attainment," American Economic Review, American Economic Association, vol. 96(2), pages 275-278, May.
    17. Charles F. Manski, 2019. "Meta-Analysis for Medical Decisions," NBER Working Papers 25504, National Bureau of Economic Research, Inc.
    18. Nathan Yang, 2011. "An Empirical Model of Industry Dynamics with Common Uncertainty and Learning from the Actions of Competitors," Working Papers 11-16, NET Institute.
    19. Schanne, Norbert, 2012. "The formation of experts' expectations on labour markets : do they run with the pack?," IAB-Discussion Paper 201225, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    20. Ethan Cohen-Cole & Giulio Zanella, 2008. "Welfare Stigma or Information Sharing? Decomposing Social Interactions Effects in Social Benefit Use," Department of Economics University of Siena 531, Department of Economics, University of Siena.
    21. Giulio Zanella, 2004. "Social Interactions and Economic Behavior," Department of Economics University of Siena 441, Department of Economics, University of Siena.
    22. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    23. Jan-Dirk Schmöcker & Tsuyoshi Hatori & David Watling, 2014. "Dynamic process model of mass effects on travel demand," Transportation, Springer, vol. 41(2), pages 279-304, March.

  69. Jeff Dominitz & Charles F. Manski, 2004. "How Should We Measure Consumer Confidence?," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 51-66, Spring.

    Cited by:

    1. Dées, Stéphane & Soares Brinca, Pedro, 2011. "Consumer confidence as a predictor of consumption spending: evidence for the United States and the euro area," Working Paper Series 1349, European Central Bank.
    2. Carstensen, Kai & Bachmann, Rüdiger & Schneider, Martin & Lautenbacher, Stefan, 2018. "Uncertainty is Change," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181572, Verein für Socialpolitik / German Economic Association.
    3. Tilman H. Drerup & Matthias Wibral & Christian Zimpelmann, 2022. "Skewness Expectations and Portfolio Choice," CRC TR 224 Discussion Paper Series crctr224_2022_333, University of Bonn and University of Mannheim, Germany.
    4. Ralph Stinebrickner & Todd Stinebrickner, 2013. "Academic Performance and College Dropout: Using Longitudinal Expectations Data to Estimate a Learning Model," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20135, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    5. Daniel Navarro-Martinez & Graham Loomes & Andrea Isoni & David Butler & Larbi Alaoui, 2018. "Boundedly rational expected utility theory," Journal of Risk and Uncertainty, Springer, vol. 57(3), pages 199-223, December.
    6. Jérémie BERTRAND & Laurent WEILL, 2020. "In December Days are Shorter but Loans are Cheaper," Working Papers of LaRGE Research Center 2020-02, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    7. Wolfers, Justin & Zitzewitz, Eric, 2006. "Interpreting Prediction Market Prices as Probabilities," IZA Discussion Papers 2092, Institute of Labor Economics (IZA).
    8. Jos'e Raimundo Carvalho & Diego de Maria Andr'e & Yuri Costa, 2023. "Individual Updating of Subjective Probability of Homicide Victimization: a "Natural Experiment'' on Risk Communication," Papers 2312.08171, arXiv.org.
    9. Adeline Delavande & Susann Rohwedder, 2008. "Eliciting Subjective Expectations in Internet Surveys," Working Papers WR-589, RAND Corporation.
    10. Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008. "Rethinking the measurement of household inflation expectations: preliminary findings," Staff Reports 359, Federal Reserve Bank of New York.
    11. Cupák, Andrej & Fessler, Pirmin & Hsu, Joanne W. & Paradowski, Piotr R., 2022. "Investor confidence and high financial literacy jointly shape investments in risky assets," Economic Modelling, Elsevier, vol. 116(C).
    12. Dmitri Vinogradov & Yousef Makhlouf, 2017. "Signaling Probabilities in Ambiguity: on the impact of vague news," Working Papers 2017_12, Business School - Economics, University of Glasgow.
    13. Niu, G., 2014. "Essays on subjective expectations and mortality trends," Other publications TiSEM b9f72836-d8ad-478b-adca-4, Tilburg University, School of Economics and Management.
    14. Agarwal, Sandip Kumar, 2017. "Subjective beliefs and decision making under uncertainty in the field," ISU General Staff Papers 201701010800006248, Iowa State University, Department of Economics.
    15. Todd Stinebrickner & Ralph Stinebrickner, 2008. "Learning About Academic Ability and the College Drop-Out Decision," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20086, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    16. Jahedi, Salar & Méndez, Fabio, 2014. "On the advantages and disadvantages of subjective measures," Journal of Economic Behavior & Organization, Elsevier, vol. 98(C), pages 97-114.
    17. Olympia Bover, 2015. "Measuring expectations from household surveys: new results on subjective probabilities of future house prices," Working Papers 1535, Banco de España.
    18. Jeff Dominitz & Angela Hung, 2006. "Retirement Savings Portfolio Management," Working Papers wp138, University of Michigan, Michigan Retirement Research Center.
    19. Brodeur, Abel & Yousaf, Hasin, 2019. "The Economics of Mass Shootings," IZA Discussion Papers 12728, Institute of Labor Economics (IZA).
    20. Manski, Charles F., 2006. "Interpreting the predictions of prediction markets," Economics Letters, Elsevier, vol. 91(3), pages 425-429, June.
    21. Lucia Dunn & Ida Mirzaie, 2004. "Turns in Consumer Confidence: An Information Advantage Linked To Manufacturing," Working Papers 04-03, Ohio State University, Department of Economics.
    22. Agarwal, Sandip & Jacobs, Keri L. & Weninger, Quinn, 2016. "Elicitation of Subjective Beliefs: A Pilot study of farmers' nitrogen management decision-making in Central Iowa," ISU General Staff Papers 201601010800001005, Iowa State University, Department of Economics.
    23. Crosetto, Paolo & de Haan, Thomas, 2023. "Comparing input interfaces to elicit belief distributions," Judgment and Decision Making, Cambridge University Press, vol. 18, pages 1-1, January.
    24. Gene Amromin & Steven A. Sharpe, 2005. "From the horse’s mouth: gauging conditional expected stock returns from investor surveys," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
    25. Todd R. Stinebrickner & Ralph Stinebrickner, 2011. "Math or Science? Using Longitudinal Expectations Data to Examine the Process of Choosing a College Major," NBER Working Papers 16869, National Bureau of Economic Research, Inc.
    26. Gene Amromin & Steven A. Sharpe, 2012. "From the horse’s mouth: how do investor expectations of risk and return vary with economic conditions?," Working Paper Series WP-2012-08, Federal Reserve Bank of Chicago.
    27. Brückbauer, Frank, 2022. "Do financial market experts know their theory? New evidence from survey data," ZEW Discussion Papers 20-092, ZEW - Leibniz Centre for European Economic Research, revised 2022.
    28. Maurizio Bovi, 2006. "Consumers Sentiment and Cognitive Macroeconometrics Paradoxes and Explanations," ISAE Working Papers 66, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    29. Anmol Bhandari & Jaroslav Borovicka & Paul Ho, 2019. "Survey Data and Subjective Beliefs in Business Cycle Models," Working Paper 19-14, Federal Reserve Bank of Richmond.
    30. Willem Vanlaer & Samantha Bielen & Wim Marneffe, 2020. "Consumer Confidence and Household Saving Behaviors: A Cross-Country Empirical Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 677-721, January.
    31. Stephen Bruestle & W. Mark Crain, 2015. "A mean-variance approach to forecasting with the consumer confidence index," Applied Economics, Taylor & Francis Journals, vol. 47(23), pages 2430-2444, May.
    32. Andreas Jonsson & Staffan Lindén, 2009. "The quest for the best consumer confidence indicator," European Economy - Economic Papers 2008 - 2015 372, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    33. Gene Amromin & Steven A. Sharpe, 2009. "Expectations of risk and return among household investors: Are their Sharpe ratios countercyclical?," Proceedings, Federal Reserve Bank of San Francisco, issue Jan.
    34. Daniel McFadden & Albert Bemmaor & Francis Caro & Jeff Dominitz & Byung-Hill Jun & Arthur Lewbel & Rosa Matzkin & Francesca Molinari & Norbert Schwarz & Robert Willis & Joachim Winter, 2005. "Statistical Analysis of Choice Experiments and Surveys," Marketing Letters, Springer, vol. 16(3), pages 183-196, December.
    35. Segers, Rene & Franses, Philip Hans & de Bruijn, Bert, 2017. "A novel approach to measuring consumer confidence," Econometrics and Statistics, Elsevier, vol. 4(C), pages 121-129.
    36. Pesaran, M. Hashem & Weale, Martin, 2006. "Survey Expectations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 14, pages 715-776, Elsevier.
    37. Douglas Lamdin, 2008. "Does Consumer Sentiment Foretell Revolving Credit Use?," Journal of Family and Economic Issues, Springer, vol. 29(2), pages 279-288, June.
    38. Dmitri Vinogradov & Yousef Makhlouf, 2021. "Signaling probabilities in ambiguity: who reacts to vague news?," Theory and Decision, Springer, vol. 90(3), pages 371-404, May.
    39. Giuseppe Fiori & Filippo Scoccianti, 2021. "The Economic Effects of Firm-Level Uncertainty: Evidence Using Subjective Expectations," International Finance Discussion Papers 1320, Board of Governors of the Federal Reserve System (U.S.).
    40. Maurizio Bovi, 2008. "The “Psycho-analysis” of Common People’s Forecast Errors. Evidence from European Consumer Surveys," ISAE Working Papers 95 Classification-JEL C42, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    41. Jeff Dominitz & Charles F. Manski, 2011. "Measuring and interpreting expectations of equity returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 352-370, April.
    42. Drerup, Tilman H., 2019. "Eliciting subjective expectations for bivariate outcomes," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 29-45.
    43. Gene Amromin & Steven A. Sharpe, 2014. "From the Horse's Mouth: Economic Conditions and Investor Expectations of Risk and Return," Management Science, INFORMS, vol. 60(4), pages 845-866, April.
    44. Euler Pereira G. de Mello & Francisco Marcos R. Figueiredo, 2014. "Assessing the Short-term Forecasting Power of Confidence Indices," Working Papers Series 371, Central Bank of Brazil, Research Department.
    45. Lieven Baele & Geert Bekaert & Koen Inghelbrecht, 2009. "The Determinants of Stock and Bond Return Comovements," NBER Working Papers 15260, National Bureau of Economic Research, Inc.
    46. Jonsson, Andreas & Lindén, Staffan, 2009. "The quest for the best consumer confidence indicator," MPRA Paper 25515, University Library of Munich, Germany.
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    49. Sudeshna Ghosh, 2021. "Consumer Confidence and Consumer Spending in Brazil: A Nonlinear Autoregressive Distributed Lag Model Analysis," Arthaniti: Journal of Economic Theory and Practice, , vol. 20(1), pages 53-85, June.
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    51. Pablo Castellanos García & Indalecio Pérez Díaz del Río & Jose Manuel Sanchez-Santos, 2014. "The role of confidence in the evolution of the Spanish economy: empirical evidence from an ARDL model," European Journal of Government and Economics, Europa Grande, vol. 3(2), pages 148-161, December.
    52. Bozzoli, Carlos & Brück, Tilman & Muhumuza, Tony, 2011. "Does war influence individual expectations?," Economics Letters, Elsevier, vol. 113(3), pages 288-291.
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    54. Han, Myat Su & Hampson, Daniel Peter & Wang, Yonggui & Wang, Hong, 2022. "Consumer confidence and green purchase intention: An application of the stimulus-organism-response model," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).

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    Cited by:

    1. Mullahy, John, 2018. "Individual results may vary: Inequality-probability bounds for some health-outcome treatment effects," Journal of Health Economics, Elsevier, vol. 61(C), pages 151-162.
    2. Stefan Boes, 2007. "Nonparametric Analysis of Treatment Effects in Ordered Response Models," SOI - Working Papers 0709, Socioeconomic Institute - University of Zurich.
    3. Jiannan Lu & Peng Ding & Tirthankar Dasgupta, 2018. "Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds," Journal of Educational and Behavioral Statistics, , vol. 43(5), pages 540-567, October.
    4. D. Todem & J. Fine & L. Peng, 2010. "A Global Sensitivity Test for Evaluating Statistical Hypotheses with Nonidentifiable Models," Biometrics, The International Biometric Society, vol. 66(2), pages 558-566, June.
    5. Matthew Masten & Alexandre Poirier, 2016. "Partial independence in nonseparable models," CeMMAP working papers 26/16, Institute for Fiscal Studies.
    6. Jiannan Lu & Yunshu Zhang & Peng Ding, 2020. "Sharp bounds on the relative treatment effect for ordinal outcomes," Biometrics, The International Biometric Society, vol. 76(2), pages 664-669, June.
    7. D. Nitsch & B. L. DeStavola & S. M. B. Morton & D. A. Leon, 2006. "Linkage bias in estimating the association between childhood exposures and propensity to become a mother: an example of simple sensitivity analyses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 493-505, July.
    8. Rhoads Christopher H., 2012. "Problems with Tests of the Missingness Mechanism in Quantitative Policy Studies," Statistics, Politics and Policy, De Gruyter, vol. 3(1), pages 1-25, March.
    9. Cunguara, Benedito & Darnhofer, Ika, 2011. "Assessing the impact of improved agricultural technologies on household income in rural Mozambique," Food Policy, Elsevier, vol. 36(3), pages 378-390, June.
    10. Paul Gustafson, 2007. "Measurement error modelling with an approximate instrumental variable," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(5), pages 797-815, November.

  72. Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, September.

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    1. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.
    2. Yifan Gong & Ralph Stinebrickner & Todd R. Stinebrickner, 2019. "Marriage, Children, and Labor Supply: Beliefs and Outcomes," NBER Working Papers 26334, National Bureau of Economic Research, Inc.
    3. Adams-Prassl, Abigail & Andrew, Alison, 2019. "Preferences and Beliefs in the Marriage Market for Young Brides," CEPR Discussion Papers 13567, C.E.P.R. Discussion Papers.
    4. Necker, Sarah & Ziegelmeyer, Michael, 2014. "Household Risk Taking after the Financial Crisis," MEA discussion paper series 201402, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    5. Jane Greve & Morten Saaby & Anders Rosdahl & Vibeke Tornhøj Christensen, 2021. "Uncertain occupational expectations at age 19 and later educational and labour market outcomes," LABOUR, CEIS, vol. 35(2), pages 163-191, June.
    6. Frank Heinemann & Rosemarie Nagel & Peter Ockenfels, 2004. "Measuring strategic uncertainty in coordination games," Economics Working Papers 804, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Te Bao & John Duffy & Cars Hommes, 2012. "Learning, Forecasting and Optimizing: An Experimental Study," Tinbergen Institute Discussion Papers 12-015/1, Tinbergen Institute.
    8. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    9. Luc Arrondel & Jérôme Coffinet, 2021. "Preparing for the tax reform: the risky French households' portfolio in 2018," Working Papers halshs-03322577, HAL.
    10. Anikó Bíró, 2013. "Subjective mortality hazard shocks and the adjustment of consumption expenditures," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1379-1408, October.
    11. Gizem Koşar & Cormac O'Dea, 2022. "Expectations Data in Structural Microeconomic Models," Staff Reports 1018, Federal Reserve Bank of New York.
    12. Victor Aguirregabiria & Arvind Magesan, 2012. "Identification and estimation of dynamic games when players' beliefs are not in equilibrium," Working Papers tecipa-449, University of Toronto, Department of Economics.
    13. Jürg Schweri & Stefan C. Wolter & Joop Hartog, 2008. "Do Students Expect Compensation for Wage Risk?," Economics of Education Working Paper Series 0011, University of Zurich, Department of Business Administration (IBW).
    14. Goldfayn-Frank, Olga & Kieren, Pascal & Trautmann, Stefan, 2024. "A Choice-Based Approach to the Measurement of Inflation Expectations," Working Papers 0742, University of Heidelberg, Department of Economics.
    15. Biroli, Pietro & Boneva, Teodora & Raja, Akash & Rauh, Christopher, 2022. "Parental beliefs about returns to child health investments," Journal of Econometrics, Elsevier, vol. 231(1), pages 33-57.
    16. Thierry Kalisa & Mary Riddel & W. Douglass Shaw, 2016. "Willingness to pay to avoid arsenic-related risks: a special regressor approach," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 5(2), pages 143-162, July.
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    18. Duernecker, Georg & Balleer, Almut & Forstner, Susanne & Goensch, Johannes, 2021. "The Effects of Biased Labor Market Expectations on Consumption, Wealth Inequality, and Welfare," CEPR Discussion Papers 16444, C.E.P.R. Discussion Papers.
    19. Fabienne Femenia & Laure Latruffe & Jean-Paul Chavas, 2021. "Responsiveness of farm investment to price changes: Evidence from the French crop sector," Working Papers SMART 21-02, INRAE UMR SMART.
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    22. van Santen, Peter, 2016. "Uncertain pension income and household saving," Working Paper Series 330, Sveriges Riksbank (Central Bank of Sweden).
    23. Hyndman, Kyle & Terracol, Antoine & Vaksmann, Jonathan, 2013. "Beliefs and (In)Stability in Normal-Form Games," MPRA Paper 47221, University Library of Munich, Germany.
    24. Joseph Briggs & Christopher Tonetti, 2019. "Risky Insurance: Insurance Portfolio Choice with Incomplete Markets," 2019 Meeting Papers 1388, Society for Economic Dynamics.
    25. Stefania Minardi & Andrei Savochkin, 2016. "Subjective Contingencies and Limited Bayesian Updating," Working Papers w0222, New Economic School (NES).
    26. Breunig, Christoph & Grabova, Iuliia & Haan, Peter & Weinhardt, Felix & Weizsäcker, Georg, 2019. "Long-run Expectations of Households," Rationality and Competition Discussion Paper Series 218, CRC TRR 190 Rationality and Competition.
    27. Costanigro, Marco & Scozzafava, Gabriele & Casini, Leonardo, 2019. "Vertical differentiation via multi-tier geographical indications and the consumer perception of quality: The case of Chianti wines," Food Policy, Elsevier, vol. 83(C), pages 246-259.
    28. Tilman H. Drerup & Matthias Wibral & Christian Zimpelmann, 2022. "Skewness Expectations and Portfolio Choice," CRC TR 224 Discussion Paper Series crctr224_2022_333, University of Bonn and University of Mannheim, Germany.
    29. Elias Tsakas, 2022. "Belief identification with state-dependent utilities," Papers 2203.10505, arXiv.org, revised Nov 2022.
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    37. Olkhov, Victor, 2018. "Expectations, Price Fluctuations and Lorenz Attractor," MPRA Paper 89105, University Library of Munich, Germany.
    38. Olkhov, Victor, 2019. "New Essentials of Economic Theory," MPRA Paper 95065, University Library of Munich, Germany.
    39. Nick Bloom & Tobias Kretschmer & John Van Reenan, 2009. "Work-Life Balance, Management Practices and Productivity," NBER Chapters, in: International Differences in the Business Practices and Productivity of Firms, pages 15-54, National Bureau of Economic Research, Inc.
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    42. Ralph Stinebrickner & Todd Stinebrickner, 2013. "Academic Performance and College Dropout: Using Longitudinal Expectations Data to Estimate a Learning Model," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20135, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    43. Ralph Stinebrickner & Todd R. Stinebrickner, 2013. "A Major in Science? Initial Beliefs and Final Outcomes for College Major and Dropout," NBER Working Papers 19165, National Bureau of Economic Research, Inc.
    44. Jehiel, Philippe, 2015. "Investment strategy and selection bias: An equilibrium perspective on overconfidence," CEPR Discussion Papers 10868, C.E.P.R. Discussion Papers.
    45. Helen Levy & Kristin Seefeldt, 2008. "How Do Lower-Income Families Think about Retirement?," Working Papers wp195, University of Michigan, Michigan Retirement Research Center.
    46. Peter Backé & Elisabeth Beckmann, 2020. "What drives people’s expectations of euro adoption? – Evidence from the OeNB Euro Survey on selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/20, pages 57-79.
    47. McGuinness, Seamus & Wooden, Mark & Hahn, Markus, 2012. "Job Insecurity and Future Labour Market Outcomes," IZA Discussion Papers 6764, Institute of Labor Economics (IZA).
    48. Julian Emmler & Bernd Fitzenberger, 2022. "Temporary overpessimism: Job loss expectations following a large negative employment shock," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(3), pages 621-661, July.
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    53. Gohin, Alexandre & Zheng, Yu, 2020. "Reforming the European Common Agricultural Policy: From price & income support to risk management," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 712-727.
    54. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
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    56. Winkler, Fabian, 2020. "The role of learning for asset prices and business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 42-58.
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    58. Jensen, Robert & Lleras-Muney, Adriana, 2012. "Does staying in school (and not working) prevent teen smoking and drinking?," Journal of Health Economics, Elsevier, vol. 31(4), pages 644-657.
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    525. Alison Andrew & Abi Adams-Prassl, 2022. "Revealed beliefs and the marriage market return to education," IFS Working Papers W22/48, Institute for Fiscal Studies.
    526. Kim, Taehoon & Kim, Jinho, 2020. "Linking adolescent future expectations to health in adulthood: Evidence and mechanisms," Social Science & Medicine, Elsevier, vol. 263(C).

  73. Charles F. Manski, 2003. "Identification Problems in the Social Sciences and Everyday Life," Southern Economic Journal, John Wiley & Sons, vol. 70(1), pages 11-21, July.

    Cited by:

    1. Escario, José-Julián & Giménez-Nadal, J. Ignacio & Wilkinson, Anna V., 2022. "Predictors of adolescent truancy: The importance of cyberbullying, peer behavior, and parenting style," Children and Youth Services Review, Elsevier, vol. 143(C).
    2. Chad D. Cotti & Charles J. Courtemanche & Johanna Catherine Maclean & Erik T. Nesson & Michael F. Pesko & Nathan Tefft, 2020. "The Effects of E-Cigarette Taxes on E-Cigarette Prices and Tobacco Product Sales: Evidence from Retail Panel Data," NBER Working Papers 26724, National Bureau of Economic Research, Inc.
    3. Anja Köbrich León & Janosch Schobin, 2022. "Romance and the ozone layer: panel evidence on green behavior in couples," Empirical Economics, Springer, vol. 63(4), pages 2101-2123, October.
    4. Tibesigwa, Byela & Bezabih, Mintewab & Visser, Martine, 2022. "Boosting Climate-Smart Smallholder Farm Strategies and Household Outcomes through Joint Decision-Making by Men and Women in Agrarian Households in Arid Namibia," EfD Discussion Paper 24-6, Environment for Development, University of Gothenburg.
    5. Montmartin, Benjamin & Herrera-Gómez, Marcos, 2023. "Spatial dependence in physicians’ prices and additional fees: Evidence from France," Journal of Health Economics, Elsevier, vol. 88(C).

  74. Charles F. Manski & Joram Mayshar, 2003. "Private Incentives and Social Interactions: Fertility Puzzles in Israel," Journal of the European Economic Association, MIT Press, vol. 1(1), pages 181-211, March.

    Cited by:

    1. Roni Frish, 2008. "The Effect of Child Allowances on Fertility in Israel," Israel Economic Review, Bank of Israel, vol. 6(1), pages 1-22.
    2. Nicoletta Balbo & Nicola Barban & Melinda Mills, 2013. "Friend and peer effects on entry into marriage and parenthood: A multiprocess approach," Working Papers 056, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    3. Sorvachev, Ilia & Yakovlev, Evgeny, 2020. "Short- and Long-Run Effects of a Sizable Child Subsidy: Evidence from Russia," IZA Discussion Papers 13019, Institute of Labor Economics (IZA).
    4. Moti Michaeli & Daniel Spiro, "undated". "The dynamics of revolutions," Working Papers WP2017/8, University of Haifa, Department of Economics.
    5. Ebenstein, Avraham & Hazan, Moshe & Simhon, Avi, 2011. "Raising the Financial Costs of Children and Fertility Responses: Evidence from the Kibbutz," Discussion Papers 122844, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
    6. Sagit Bar-Gill & Chaim Fershtman, 2016. "Integration policy: Cultural transmission with endogenous fertility," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 105-133, January.
    7. Áureo de Paula, 2015. "Econometrics of network models," CeMMAP working papers CWP52/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Merrouche, Ouarda, 2007. "The Long Term Impact of French Settlement on Education in Algeria," Working Paper Series 2007:2, Uppsala University, Department of Economics.
    9. Monstad, Karin & Propper, Carol & Salvanes, Kjell G., 2011. "Is teenage motherhood contagious? Evidence from a Natural Experiment," Discussion Paper Series in Economics 12/2011, Norwegian School of Economics, Department of Economics.
    10. Bar-Gill, Sagit & Fershtman, Chaim, 2012. "Integration Policy: Cultural Transmission with Endogenous Fertility," Foerder Institute for Economic Research Working Papers 275776, Tel-Aviv University > Foerder Institute for Economic Research.
    11. Iyer, S. & Weeks, M., 2009. "Social Interactions, Ethnicity and Fertility in Kenya," Cambridge Working Papers in Economics 0903, Faculty of Economics, University of Cambridge.
    12. Jona Schellekens, 2009. "Family allowances and fertility: Socioeconomic differences," Demography, Springer;Population Association of America (PAA), vol. 46(3), pages 451-468, August.
    13. Angrist, Joshua & Lavy, Victor & Schlosser, Analia, 2010. "Multiple Experiments for the Causal Link between the Quantity and Quality of Children," Foerder Institute for Economic Research Working Papers 275744, Tel-Aviv University > Foerder Institute for Economic Research.
    14. Jiabin Wu, 2021. "Stochastic Value Formation," Dynamic Games and Applications, Springer, vol. 11(3), pages 597-611, September.
    15. Chen, Hung-Ju, 2013. "Child Allowances, Educational Subsidies and Economic Growth," MPRA Paper 51279, University Library of Munich, Germany.
    16. Battaglia, Marianna & Chabé-Ferret, Bastien & Lebedinski, Lara, 2021. "Segregation, fertility, and son preference: the case of the Roma in Serbia," Journal of Demographic Economics, Cambridge University Press, vol. 87(2), pages 233-260, June.
    17. David Atkin & Eve Colson-Sihra & Moses Shayo, 2021. "How Do We Choose Our Identity? A Revealed Preference Approach Using Food Consumption," Journal of Political Economy, University of Chicago Press, vol. 129(4), pages 1193-1251.
    18. O Sarid & V Slonim-Nevo & A Pereg & M Friger & R Sergienko & D Schwartz & D Greenberg & I Shahar & E Chernin & H Vardi & L Eidelman & A Segal & G Ben-Yakov & N Gaspar & D Munteanu & A Rozental & A Mus, 2017. "Coping strategies, satisfaction with life, and quality of life in Crohn’s disease: A gender perspective using structural equation modeling analysis," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-15, February.
    19. Cheung, Man-Wah & Wu, Jiabin, 2018. "On the probabilistic transmission of continuous cultural traits," Journal of Economic Theory, Elsevier, vol. 174(C), pages 300-323.
    20. Enrico Spolaore & Romain Wacziarg, 2014. "Fertility and Modernity," Discussion Papers Series, Department of Economics, Tufts University 0779, Department of Economics, Tufts University.
    21. Sagit Bar-Gill & Chaim Fershtman, 2016. "Integration policy: Cultural transmission with endogenous fertility," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 105-133, January.
    22. Abhishek Kumar & Valeria Bordone & Raya Muttarak, 2016. "Like Mother(-in-Law) Like Daughter? Influence of the Older Generation’s Fertility Behaviours on Women’s Desired Family Size in Bihar, India," European Journal of Population, Springer;European Association for Population Studies, vol. 32(5), pages 629-660, December.
    23. Gregory Clark & Neil Cummins, 2015. "Malthus to modernity: wealth, status, and fertility in England, 1500–1879," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(1), pages 3-29, January.
    24. Nicoletta Balbo & Francesco C. Billari & Melinda Mills, 2013. "Fertility in Advanced Societies: A Review of Research," European Journal of Population, Springer;European Association for Population Studies, vol. 29(1), pages 1-38, February.
    25. Miranda, Alfonso & Trivedi, Pravin K., 2020. "Econometric Models of Fertility," IZA Discussion Papers 13357, Institute of Labor Economics (IZA).
    26. Ciliberto, Federico & Miller, Amalia & Skyt Nielsen, Helena & Simonsen, Marianne, 2013. "Playing the Fertility Game at Work: An Equilibrium Model of Peer Effects," MPRA Paper 45914, University Library of Munich, Germany.
    27. Michaeli, Moti & Spiro, Daniel, 2015. "Norm conformity across societies," Journal of Public Economics, Elsevier, vol. 132(C), pages 51-65.
    28. Ao, Wallice & Wu, Jiabin, 2020. "The silent majority?," Economics Letters, Elsevier, vol. 193(C).
    29. te Velde, Vera L. & Louis, Winnifred, 2022. "Conformity to descriptive norms," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 204-222.
    30. Chen, Hung-Ju, 2015. "Child allowances, educational subsidies and occupational choice," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 327-342.
    31. Thorsten Janus, 2013. "The political economy of fertility," Public Choice, Springer, vol. 155(3), pages 493-505, June.
    32. Michaeli, Moti & Spiro, Daniel, 2013. "The Distribution of Individual Conformity under Social Pressure across Societies," Memorandum 12/2014, Oslo University, Department of Economics.
    33. Cohen, Alma & Dehejia, Rajeev & Romanov, Dmitri, 2008. "Do Financial Incentives Affect Fertility?," Foerder Institute for Economic Research Working Papers 275719, Tel-Aviv University > Foerder Institute for Economic Research.
    34. Lawrence E. Blume & William A. Brock & Steven N. Durlauf & Rajshri Jayaraman, 2013. "Linear Social Interactions Models," NBER Working Papers 19212, National Bureau of Economic Research, Inc.
    35. Assaf Razin, 2017. "Israel's High Fertility Rate and Anemic Skill Acquisition," CESifo Working Paper Series 6455, CESifo.
    36. Ebenstein, Avraham & Hazan, Moshe & Simhon, Avi, 2014. "Changing the Cost of Children and Fertility: Evidence from the Israeli Kibbutz," Discussion Papers 164526, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
    37. te Velde, Vera L., 2022. "Heterogeneous norms: Social image and social pressure when people disagree," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 319-340.
    38. Asphjell, Magne K. & Hensvik, Lena & Nilsson, J. Peter, 2013. "Businesses, Buddies, and Babies: Fertility and Social Interactions at Work," Working Paper Series, Center for Labor Studies 2013:8, Uppsala University, Department of Economics.
    39. Shi, Yuxing & Cai, Yu & Zhao, Minjuan, 2021. "Social interaction effect of rotational grazing and its policy implications for sustainable use of grassland: Evidence from pastoral areas in Inner Mongolia and Gansu, China," Land Use Policy, Elsevier, vol. 111(C).
    40. Ilia Sorvachev & Evgeny Yakovlev, 2019. "Short-Run and Long-Run Effects of Sizable Child Subsidy: Evidence from Russia," Working Papers w0254, Center for Economic and Financial Research (CEFIR).

  75. Charles F. Manski & Elie Tamer, 2002. "Inference on Regressions with Interval Data on a Regressor or Outcome," Econometrica, Econometric Society, vol. 70(2), pages 519-546, March.

    Cited by:

    1. Hiroaki Kaido, 2014. "Asymptotically efficient estimation of weighted average derivatives with an interval censored variable," CeMMAP working papers 03/14, Institute for Fiscal Studies.
    2. Elie Tamer, 2000. "Inference in Censored Models with Endogenous Regressors," Econometric Society World Congress 2000 Contributed Papers 1815, Econometric Society.
    3. Christian Bontemps & Thierry Magnac & Eric Maurin, 2012. "Set Identified Linear Models," Econometrica, Econometric Society, vol. 80(3), pages 1129-1155, May.
    4. Shively, Thomas S. & Walker, Stephen G. & Damien, Paul, 2011. "Nonparametric function estimation subject to monotonicity, convexity and other shape constraints," Journal of Econometrics, Elsevier, vol. 161(2), pages 166-181, April.
    5. Colubi, Ana & Ramos-Guajardo, Ana Belén, 2023. "Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics," Econometrics and Statistics, Elsevier, vol. 26(C), pages 84-98.
    6. Arie Beresteanu, 2009. "Sharp Identification Regions in Models with Convex Predictions: Games, Individual Choice, and Incomplete Data," Working Paper 428, Department of Economics, University of Pittsburgh, revised Sep 2010.
    7. Menzel, Konrad, 2014. "Consistent estimation with many moment inequalities," Journal of Econometrics, Elsevier, vol. 182(2), pages 329-350.
    8. Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
    9. Kyoo il Kim, 2006. "Set Inference for Semiparametric Discrete Games," Labor Economics Working Papers 22454, East Asian Bureau of Economic Research.
    10. Jun, Sung Jae & Pinkse, Joris & Xu, Haiqing, 2011. "Tighter bounds in triangular systems," Journal of Econometrics, Elsevier, vol. 161(2), pages 122-128, April.
    11. Andrew Chesher, 2007. "Endogeneity and discrete outcomes," CeMMAP working papers CWP05/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Hahn Jinyong & Ridder Geert, 2015. "Non-Standard Tests through a Composite Null and Alternative in Point-Identified Parameters," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-28, January.
    13. Marie-Louise Vierø, 2009. "Exactly what happens after the Anscombe–Aumann race?," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 41(2), pages 175-212, November.
    14. Donald W.K. Andrews & Sukjin Han, 2008. "Invalidity of the Bootstrap and the m Out of n Bootstrap for Interval Endpoints Defined by Moment Inequalities," Cowles Foundation Discussion Papers 1671, Cowles Foundation for Research in Economics, Yale University.
    15. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    16. Matthew A. Masten & Alexandre Poirier, 2018. "Interpreting Quantile Independence," Papers 1804.10957, arXiv.org.
    17. Steven T Berry & Giovanni Compiani, 2023. "An Instrumental Variable Approach to Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1724-1758.
    18. Thierry Magnac & Eric Maurin, 2008. "Partial Identification in Monotone Binary Models: Discrete Regressors and Interval Data," Post-Print halshs-00754272, HAL.
    19. Paul Novosad & Charlie Rafkin & Sam Asher, 2022. "Mortality Change among Less Educated Americans," American Economic Journal: Applied Economics, American Economic Association, vol. 14(4), pages 1-34, October.
    20. Elie Tamer & Federico Ciliberto, 2004. "Market Structure and Multiple Equilibria in Airline Markets," 2004 Meeting Papers 52, Society for Economic Dynamics.
    21. John Mullahy, 2022. "Investigating health-related time use with partially observed data," Review of Economics of the Household, Springer, vol. 20(1), pages 103-121, March.
    22. Winter, Joachim, 2002. "Bracketing effects in categorized survey questions and the measurement of economic quantities," Papers 02-35, Sonderforschungsbreich 504.
    23. Susan Athey & Guido W. Imbens, 2002. "Identification and Inference in Nonlinear Difference-In-Differences Models," NBER Technical Working Papers 0280, National Bureau of Economic Research, Inc.
    24. Yuan Liao & Anna Simoni, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," Papers 1212.3267, arXiv.org, revised Nov 2013.
    25. Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    26. Bramoullé, Yann & Boucher, Vincent, 2020. "Binary Outcomes and Linear Interactions," CEPR Discussion Papers 15505, C.E.P.R. Discussion Papers.
    27. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    28. Hyungsik Roger Moon & Frank Schorfheide, 2009. "Bayesian and Frequentist Inference in Partially Identified Models," NBER Working Papers 14882, National Bureau of Economic Research, Inc.
    29. Tatiana V. Komarova & Denis Nekipelov & Evgeny Yakovlev, 2011. "Identification, data combination and the risk of disclosure," CeMMAP working papers CWP38/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    30. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    31. Vira Semenova, 2023. "Adaptive Estimation of Intersection Bounds: a Classification Approach," Papers 2303.00982, arXiv.org.
    32. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2011. "Identification of Panel Data Models with Endogenous Censoring," MPRA Paper 30373, University Library of Munich, Germany.
    33. Jason R. Blevins, 2013. "Non-Standard Rates of Convergence of Criterion-Function-Based Set Estimators," Working Papers 13-02, Ohio State University, Department of Economics.
    34. Komarova, Tatiana, 2013. "Binary choice models with discrete regressors: Identification and misspecification," Journal of Econometrics, Elsevier, vol. 177(1), pages 14-33.
    35. Matthew Gentry & Tong Li, 2012. "Identification in auctions with selective entry," CeMMAP working papers 38/12, Institute for Fiscal Studies.
    36. Vira Semenova, 2017. "Debiased Machine Learning of Set-Identified Linear Models," Papers 1712.10024, arXiv.org, revised Dec 2022.
    37. Adam Rosen, 2009. "Set identification via quantile restrictions in short panels," CeMMAP working papers CWP26/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    38. Andrew Chesher & Adam Rosen, 2016. "Characterizations of identified sets delivered by structural econometric models," CeMMAP working papers CWP44/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    39. Dovonon, Prosper, 2008. "Conditionally heteroskedastic factor models with skewness and leverage effects," MPRA Paper 40206, University Library of Munich, Germany, revised Feb 2012.
    40. Giustinelli, Pamela & Manski, Charles F. & Molinari, Francesca, 2022. "Tail and center rounding of probabilistic expectations in the Health and Retirement Study," Journal of Econometrics, Elsevier, vol. 231(1), pages 265-281.
    41. Susanne M. Schennach, 2013. "Entropic Latent Variable Integration via Simulation," CeMMAP working papers CWP32/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    42. Fabian Gouret, 2017. "What can we learn from the fifties?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 756-775, November.
    43. Donald W.K. Andrews & Patrik Guggenberger, 2007. "Validity of Subsampling and "Plug-in Asymptotic" Inference for Parameters Defined by Moment Inequalities," Cowles Foundation Discussion Papers 1620, Cowles Foundation for Research in Economics, Yale University.
    44. Timothy B. Armstrong, 2014. "On the Choice of Test Statistic for Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1960, Cowles Foundation for Research in Economics, Yale University.
    45. Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers CWP05/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    46. Cheti Nicoletti, 2010. "Poverty analysis with missing data: alternative estimators compared," Empirical Economics, Springer, vol. 38(1), pages 1-22, February.
    47. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    48. Khan, Shakeeb & Tamer, Elie, 2009. "Inference on endogenously censored regression models using conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 152(2), pages 104-119, October.
    49. Thomas F. Crossley & Joachim K. Winter, 2013. "Asking Households About Expenditures: What Have We Learned?," NBER Working Papers 19543, National Bureau of Economic Research, Inc.
    50. Andrew Chesher & Adam Rosen & Konrad Smolinski, 2011. "An instrumental variable model of multiple discrete choice," CeMMAP working papers CWP39/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    51. Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," Papers 1601.00934, arXiv.org, revised Jun 2019.
    52. Haile,P.A. & Tamer,E.T., 2000. "Inference with an incomplete model of English auctions," Working papers 18, Wisconsin Madison - Social Systems.
    53. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    54. Hong, Han & Tamer, Elie, 2003. "Endogenous binary choice model with median restrictions," Economics Letters, Elsevier, vol. 80(2), pages 219-225, August.
    55. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
    56. Jerry A. Hausman & Whitney K. Newey, 2016. "Individual Heterogeneity and Average Welfare," Econometrica, Econometric Society, vol. 84, pages 1225-1248, May.
    57. Jad Beyhum & Jean-Pierre FLorens & Ingrid Van Keilegom, 2020. "Nonparametric instrumental regression with right censored duration outcomes," Papers 2011.10423, arXiv.org.
    58. Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2012. "Inference for best linear approximations to set identified functions," CeMMAP working papers CWP43/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    59. Angela Blanco-Fernández & Peter Winker, 2016. "Data generation processes and statistical management of interval data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 100(4), pages 475-494, October.
    60. Coroneo, Laura & Corradi, Valentina & Santos Monterio, Paulo, 2012. "Testing for optimal monetary policy via moment inequalities," Economic Research Papers 270654, University of Warwick - Department of Economics.
    61. Carvalho, Carlos & Nechio, Fernanda, 2014. "Do people understand monetary policy?," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 108-123.
    62. Charles Bellemare & Alexander Sebald, 2011. "Learning about a Class of Belief-Dependent Preferences without Information on Beliefs," Cahiers de recherche 1125, CIRPEE.
    63. Matthew Gentry & Tong Li, 2014. "Identification in Auctions With Selective Entry," Econometrica, Econometric Society, vol. 82(1), pages 315-344, January.
    64. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    65. Guido Imbens & Charles F. Manski, 2003. "Confidence intervals for partially identified parameters," CeMMAP working papers CWP09/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    66. Lina Zhang & David T. Frazier & D. S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Papers 2009.02642, arXiv.org, revised Sep 2022.
    67. Tatiana Komarova, 2012. "Binary Choice Models with Discrete Regressors: Identification and Misspecification," STICERD - Econometrics Paper Series 559, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    68. Jiang, Wenxin, 2017. "On limiting distribution of quasi-posteriors under partial identification," Econometrics and Statistics, Elsevier, vol. 3(C), pages 60-72.
    69. Kaido, Hiroaki, 2016. "A dual approach to inference for partially identified econometric models," Journal of Econometrics, Elsevier, vol. 192(1), pages 269-290.
    70. Paul B. Ellickson & Stephanie Houghton & Christopher Timmins, 2010. "Estimating Network Economies in Retail Chains: A Revealed Preference Approach," NBER Working Papers 15832, National Bureau of Economic Research, Inc.
    71. Chesher, Andrew & Kim, Dongwoo & Rosen, Adam M., 2023. "IV methods for Tobit models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1700-1724.
    72. Daniel Cerquera & François Laisney & Hannes Ullrich, 2012. "Considerations on partially identified regression models," Working Papers of BETA 2012-07, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    73. Myung Hwan Seo & Taisuke Otsu, 2016. "Local M-estimation with discontinuous criterion for dependent and limited observations," STICERD - Econometrics Paper Series /589, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    74. Carlos Madeira, 2022. "Partial identification of nonlinear peer effects models with missing data," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-18, December.
    75. Giorgio Topa & Elizabeth Setren & Meta Brown, 2011. "Do Referrals Lead to Better Matches? Evidence from a Firm's Employee," 2011 Meeting Papers 711, Society for Economic Dynamics.
    76. Wang, Xun & Zhang, Zhongzhan & Li, Shoumei, 2016. "Set-valued and interval-valued stationary time series," Journal of Multivariate Analysis, Elsevier, vol. 145(C), pages 208-223.
    77. Adam Rosen, 2007. "Identification and estimation of firms' marginal cost functions with incomplete knowledge of strategic behavior," CeMMAP working papers CWP03/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    78. Okumura, Tsunao & 奥村, 綱雄 & オクムラ, ツナオ & Usui, Emiko & 臼井, 恵美子 & ウスイ, エミコ, 2010. "Concave-Monotone Treatment Response and Monotone Treatment Selection: With an Application to the Returns to Schooling," PIE/CIS Discussion Paper 475, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    79. Yuan Liao & Anna Simoni, 2019. "Bayesian inference for partially identified smooth convex models," Post-Print hal-03089881, HAL.
    80. Andrew Chesher & Adam Rosen, 2019. "Generalized Instrumental Variable Models, Methods, and Applications," CeMMAP working papers CWP41/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    81. Donald W.K. Andrews & Panle Jia, 2008. "Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure," Cowles Foundation Discussion Papers 1676, Cowles Foundation for Research in Economics, Yale University.
    82. Arie Beresteanu, 2020. "Quantile Regression with Interval Data," Working Paper 6899, Department of Economics, University of Pittsburgh.
    83. Arie Beresteanu & Francesca Molinari, 2008. "Asymptotic Properties for a Class of Partially Identified Models," Econometrica, Econometric Society, vol. 76(4), pages 763-814, July.
    84. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey, 2009. "Identification and estimation of marginal effects in nonlinear panel models," CeMMAP working papers CWP05/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    85. Lutz Kilian, 2009. "Pitfalls in Estimating Asymmetric Effects of Energy Price Shocks," 2009 Meeting Papers 473, Society for Economic Dynamics.
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    89. Gloria Gonzalez-Rivera & Yun Luo & Esther Ruiz, 2019. "Prediction Regions for Interval-valued Time Series," Working Papers 201921, University of California at Riverside, Department of Economics.
    90. Shinya Sugawara, 2013. "An Interval Regression Analysis for Tenures of Japanese Elder Care Workers Using Matched Employer-Employee Data," CIRJE F-Series CIRJE-F-887, CIRJE, Faculty of Economics, University of Tokyo.
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    95. Andrew Chesher & Adam Rosen, 2014. "Generalized instrumental variable models," CeMMAP working papers 04/14, Institute for Fiscal Studies.
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    32. Bauer, Dominik & Wolff, Irenaeus, 2019. "Biases in Beliefs," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203601, Verein für Socialpolitik / German Economic Association.
    33. Jim Engle-Warnick & Bradley Ruffle, 2006. "The Strategies Behind Their Actions: A Method To Infer Repeated-Game Strategies And An Application To Buyer Behavior," Departmental Working Papers 2005-04, McGill University, Department of Economics.
    34. Kröger, Sabine & Pierrot, Thibaud, 2019. "What point of a distribution summarises point predictions?," Discussion Papers, Research Unit: Market Behavior SP II 2019-212, WZB Berlin Social Science Center.
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    41. Charles Bellemare & Luc Bissonnette & Sabine Kroger, 2007. "Flexible Approximation of Subjective Expectations using Probability Questions -An Application to the Investment Game-," Cahiers de recherche 0734, CIRPEE.
    42. Basit Zafar, 2012. "Double Majors: One For Me, One For The Parents?," Economic Inquiry, Western Economic Association International, vol. 50(2), pages 287-308, April.
    43. Cherchye, Laurens & Demuynck, Thomas & De Rock, Bram & Freer, Mikhail, 2022. "Revealed preference analysis of expected utility maximization under prize-probability trade-offs," Journal of Mathematical Economics, Elsevier, vol. 99(C).
    44. Cabrales, Antonio & Miniaci, Raffaele & Piovesan, Marco & Ponti, Giovanni, 2007. "An experiment on markets and contracts : do social preferences determine corporate culture?," UC3M Working papers. Economics we072010, Universidad Carlos III de Madrid. Departamento de Economía.
    45. Dominik Bauer & Irenaeus Wolff, 2018. "Biases in Beliefs: Experimental Evidence," TWI Research Paper Series 109, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
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    49. Di Bartolomeo Giovanni & Papa Stefano, 2012. "The triadic design to identify trust and reciprocity: Extensions and robustness," wp.comunite 0096, Department of Communication, University of Teramo.
    50. Rutstrom, E. Elizabet & Wilcox, Nathaniel, 2008. "Stated versus inferred beliefs: A methodological inquiry and experimental test," MPRA Paper 11852, University Library of Munich, Germany.
    51. Rutström, E. Elisabet & Wilcox, Nathaniel T., 2009. "Stated beliefs versus inferred beliefs: A methodological inquiry and experimental test," Games and Economic Behavior, Elsevier, vol. 67(2), pages 616-632, November.
    52. Basit Zafar, 2011. "Can subjective expectations data be used in choice models? evidence on cognitive biases," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 520-544, April.
    53. Ham, John C. & Kagel, John H. & Lehrer, Steven F., 2005. "Randomization, endogeneity and laboratory experiments: the role of cash balances in private value auctions," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 175-205.
    54. Bissonnette, L. & van Soest, A.H.O., 2010. "Retirement Expectations, Preferences, and Decisions," Other publications TiSEM 45e93b08-cc1d-47c6-ba06-d, Tilburg University, School of Economics and Management.
    55. Jason Abaluck & Giovanni Compiani, 2020. "A Method to Estimate Discrete Choice Models that is Robust to Consumer Search," NBER Working Papers 26849, National Bureau of Economic Research, Inc.
    56. Bellemare, Charles & Kröger, Sabine & van Soest, Arthur, 2011. "Preferences, intentions, and expectation violations: A large-scale experiment with a representative subject pool," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 349-365, May.
    57. Gbaguidi, David, 2012. "La courbe de Phillips : temps d’arbitrage et/ou arbitrage de temps," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(1), pages 87-119, mars.
    58. Olivier Armantier & Nicolas Treich, 2006. "Overbidding in Independant Private-Values Auctions and Misperception of Probabilities," CIRANO Working Papers 2006s-15, CIRANO.

  77. Philip J. Cross & Charles F. Manski, 2002. "Regressions, Short and Long," Econometrica, Econometric Society, vol. 70(1), pages 357-368, January.
    See citations under working paper version above.
  78. Charles F. Manski & John Newman & John V. Pepper, 2002. "Using Performance Standards to Evaluate Social Programs with Incomplete Outcome Data," Evaluation Review, , vol. 26(4), pages 355-381, August.

    Cited by:

    1. John V. Pepper, 2002. "To Train or Not To Train: Optimal Treatment Assignment Rules Using Welfare-to-Work Experiments," Virginia Economics Online Papers 356, University of Virginia, Department of Economics.
    2. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April.
    3. John V. Pepper, 2003. "Using Experiments to Evaluate Performance Standards: What Do Welfare-to-Work Demonstrations Reveal to Welfare Reformers?," Journal of Human Resources, University of Wisconsin Press, vol. 38(4).

  79. Charles F. Manski, 2001. "Designing Programs for Heterogeneous Populations: The Value of Covariate Information," American Economic Review, American Economic Association, vol. 91(2), pages 103-106, May.

    Cited by:

    1. Lechner, Michael & Smith, Jeffrey, 2003. "What is the Value Added by Caseworkers?," CEPR Discussion Papers 3825, C.E.P.R. Discussion Papers.
    2. Takalo, Tuomas & Tanayama, Tanja & Toivanen, Otto, 2022. "Welfare effects of R&D support policies," Bank of Finland Research Discussion Papers 2/2022, Bank of Finland.
    3. Smith, Jeffrey, 2002. "Introduction," Labour Economics, Elsevier, vol. 9(2), pages 137-141, April.
    4. Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
    5. Kauhanen, Antti, 2018. "The Effects of an Education-Leave Program on Educational Attainment and Labor-Market Outcomes," ETLA Working Papers 56, The Research Institute of the Finnish Economy.
    6. Guido Imbens, 2014. "Instrumental Variables: An Econometrician's Perspective," NBER Working Papers 19983, National Bureau of Economic Research, Inc.
    7. Andersen, Signe Hald, 2011. "Exiting unemployment: How do program effects depend on individual coping strategies?," Journal of Economic Psychology, Elsevier, vol. 32(2), pages 248-258, March.
    8. Sabrina Bruyneel & Laurens Cherchye & Sam Cosaert & Bram De Rock & Siegfried Dewitte, 2012. "Are the Smart Kids More Rational ?," Working Papers ECARES ECARES 2012-050, ULB -- Universite Libre de Bruxelles.
    9. Lina Zhang, 2020. "Spillovers of Program Benefits with Missing Network Links," Papers 2009.09614, arXiv.org, revised Apr 2023.

  80. Charles F. Manski, 2001. "Daniel McFadden and the Econometric Analysis of Discrete Choice," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(2), pages 217-230, June.

    Cited by:

    1. Arora, Nikita & Quaife, Matthew & Hanson, Kara & Lagarde, Mylène & Woldesenbet, Dorka & Seifu, Abiy & Crastes dit Sourd, Romain, 2022. "Discrete choice analysis of health worker job preferences in Ethiopia: separating attribute non-attendance from taste heterogeneity," LSE Research Online Documents on Economics 113529, London School of Economics and Political Science, LSE Library.
    2. Georges Sfeir & Maya Abou-Zeid & Filipe Rodrigues & Francisco Camara Pereira & Isam Kaysi, 2020. "Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach," Papers 2007.02739, arXiv.org.
    3. Denis Conniffe, 2007. "The Generalised Extreme Value Distribution as Utility Function," The Economic and Social Review, Economic and Social Studies, vol. 38(3), pages 275-288.
    4. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
    5. Chen, Qiu, 2021. "District or distributed space heating in rural residential sector? Empirical evidence from a discrete choice experiment in South China," Energy Policy, Elsevier, vol. 148(PA).
    6. Nikita Arora & Matthew Quaife & Kara Hanson & Mylene Lagarde & Dorka Woldesenbet & Abiy Seifu & Romain Crastes dit Sourd, 2022. "Discrete choice analysis of health worker job preferences in Ethiopia: Separating attribute non‐attendance from taste heterogeneity," Health Economics, John Wiley & Sons, Ltd., vol. 31(5), pages 806-819, May.
    7. Ariane Dupont Kieffer & Sylvie Rivot & Jean Loup Madre, 2021. "The penetration of engineering by economics : McFadden (1974) and the transformation of road demand estimation," Post-Print hal-03209945, HAL.
    8. Spencer, Anne & Rivero-Arias, Oliver & Wong, Ruth & Tsuchiya, Aki & Bleichrodt, Han & Edwards, Rhiannon Tudor & Norman, Richard & Lloyd, Andrew & Clarke, Philip, 2022. "The QALY at 50: One story many voices," Social Science & Medicine, Elsevier, vol. 296(C).
    9. Gebreegziabher, Zenebe & van Kooten, G. Cornelis & van Soest, Daan P., 2017. "Technological innovation and dispersion: Environmental benefits and the adoption of improved biomass cookstoves in Tigrai, northern Ethiopia," Energy Economics, Elsevier, vol. 67(C), pages 337-345.
    10. Toiba, Hery & Noor, Arif Yustian Maulana & Rahman, Moh Shadiqur & Hartono, Rachman & Asmara, Rosihan & Retnoningsih, Dwi, 2023. "Consumers’ Preference and Future Consideration Toward Organic Instant Noodles: Evidence from Indonesia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 15(1), January.
    11. Maria Eugénia Sanin, 2009. "Choosing a trading counterpart in the U.S. acid rain market," Working Papers hal-00437636, HAL.
    12. Alicia Plemmons, 2022. "Occupational licensing's effects on firm location and employment in the United States," British Journal of Industrial Relations, London School of Economics, vol. 60(4), pages 735-760, December.
    13. Maria Eugenia Sanin, 2016. "Tradable emission permits: beyond pollution abatement motives," Documents de recherche 16-01, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    14. Dupont-Kieffer, Ariane & Rivot, Sylvie & Madre, Jean-Loup & Assistant, JHET, 2020. "The Penetration Of Engineering By Economics: Mcfadden (1974) And The Transformation Of Road Demand Estimation," OSF Preprints kucbt, Center for Open Science.
    15. Arora, Nikita & dit Sourd, Romain Crastes & Quaife, Matthew & Vassall, Anna & Ferrari, Giulia & Alangea, Deda Ogum & Tawiah, Theresa & Dwommoh Prah, Rebecca Kyerewaa & Jewkes, Rachel & Hanson, Kara & , 2023. "The stated preferences of community-based volunteers for roles in the prevention of violence against women and girls in Ghana: A discrete choice analysis," Social Science & Medicine, Elsevier, vol. 324(C).
    16. Christopher Strader & Joanna Ashby & Dominique Vervoort & Aref Ebrahimi & Shoghi Agbortoko & Melissa Lee & Naomi Reiner & Molly Zeme & Mark G Shrime, 2020. "How much is enough? Exploring the dose-response relationship between cash transfers and surgical utilization in a resource-poor setting," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-12, May.
    17. Sfeir, Georges & Abou-Zeid, Maya & Rodrigues, Filipe & Pereira, Francisco Camara & Kaysi, Isam, 2021. "Latent class choice model with a flexible class membership component: A mixture model approach," Journal of choice modelling, Elsevier, vol. 41(C).
    18. Farida Shaban & Pelopidas Siskos & Christos Tjortjis, 2023. "Electromobility Prospects in Greece by 2030: A Regional Perspective on Strategic Policy Analysis," Energies, MDPI, vol. 16(16), pages 1-17, August.
    19. G Andrew Stainback & John H Lai & Elizabeth F Pienaar & Damian C Adam & Ruscena Wiederholt & Chloe’ Vorseth, 2020. "Public preferences for ecological indicators used in Everglades restoration," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-23, June.

  81. Charles F. Manski & John V. Pepper, 2000. "Monotone Instrumental Variables, with an Application to the Returns to Schooling," Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
    See citations under working paper version above.
  82. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April.

    Cited by:

    1. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    2. Lihua Lei & Roshni Sahoo & Stefan Wager, 2023. "Policy Learning under Biased Sample Selection," Papers 2304.11735, arXiv.org.
    3. William A. Brock & Steven N. Durlauf & Kenneth D. West, 2003. "Policy Evaluation in Uncertain Economic Environments," NBER Working Papers 10025, National Bureau of Economic Research, Inc.
    4. Stoye, Jörg, 2012. "Minimax regret treatment choice with covariates or with limited validity of experiments," Journal of Econometrics, Elsevier, vol. 166(1), pages 138-156.
    5. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    6. Stefan Boes, 2007. "Nonparametric Analysis of Treatment Effects in Ordered Response Models," SOI - Working Papers 0709, Socioeconomic Institute - University of Zurich.
    7. Charles F. Manski, 2014. "Choosing Size of Government Under Ambiguity: Infrastructure Spending and Income Taxation," Economic Journal, Royal Economic Society, vol. 0(576), pages 359-376, May.
    8. Charles F. Manski, 2003. "Statistical treatment rules for heterogeneous populations," CeMMAP working papers 03/03, Institute for Fiscal Studies.
    9. Gadi Barlevy, 2011. "Robustness and Macroeconomic Policy," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 1-24, September.
    10. Ulaşan, Bülent, 2012. "Cross-country growth empirics and model uncertainty: An overview," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-69.
    11. Toru Kitagawa, 2011. "Inference and decision for set identified parameters using posterior lower and upper probabilities," CeMMAP working papers CWP16/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Banerjee, Abhijit & Duflo, Esther, 2008. "The Experimental Approach to Development Economics," CEPR Discussion Papers 7037, C.E.P.R. Discussion Papers.
    13. Juliano Assunção & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," NBER Working Papers 25636, National Bureau of Economic Research, Inc.
    14. Patrick Bajari & Chenghuan Sean Chu & Denis Nekipelov & Minjung Park, 2016. "Identification and semiparametric estimation of a finite horizon dynamic discrete choice model with a terminating action," Quantitative Marketing and Economics (QME), Springer, vol. 14(4), pages 271-323, December.
    15. Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
    16. Lechner, Michael & Frölich, Markus & Behncke, Stefanie, 2007. "Targeting Labour Market Programmes - Results from A Randomised Experiment," CEPR Discussion Papers 6537, C.E.P.R. Discussion Papers.
    17. Christopher A. Sims, 2002. "The Role of Models and Probabilities in the Monetary Policy Process," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 1-62.
    18. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.
    19. Takahiro Hoshino & Keisuke Takahata, 2018. "Identification of heterogeneous treatment effects as a function of potential untreated outcome under the nonignorable assignment condition," Keio-IES Discussion Paper Series 2018-005, Institute for Economics Studies, Keio University.
    20. Takuya Ishihara & Toru Kitagawa, 2021. "Evidence Aggregation for Treatment Choice," Papers 2108.06473, arXiv.org.
    21. Melenberg, B. & Vollebergh, H.R.J. & Dijkgraaf, E., 2011. "Grazing the Commons : Global Carbon Emissions Forever?," Other publications TiSEM 1f28c201-db53-4c07-a2cd-c, Tilburg University, School of Economics and Management.
    22. Aeberhard, Romain & Coudin, Elise & Rathelot, Roland, 2016. "The heterogeneity of ethnic employment gaps," CAGE Online Working Paper Series 290, Competitive Advantage in the Global Economy (CAGE).
    23. Kline, Patrick & Walters, Christopher, 2019. "Audits as Evidence: Experiments, Ensembles, and Enforcement," Institute for Research on Labor and Employment, Working Paper Series qt3z72m9kn, Institute of Industrial Relations, UC Berkeley.
    24. Charles F. Manski, 2000. "Using Studies of Treatment Response to Inform Treatment Choice in Heterogeneous Populations," NBER Technical Working Papers 0263, National Bureau of Economic Research, Inc.
    25. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2023.
    26. Garbero, Alessandra & Sakos, Grayson & Cerulli, Giovanni, 2023. "Towards data-driven project design: Providing optimal treatment rules for development projects," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    27. Jeffry Jacob & Abdul Munasib, 2020. "Do social networks promote homeownership?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 67(2), pages 189-230, June.
    28. Gadi Barlevy, 2009. "Policymaking under uncertainty: Gradualism and robustness," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 33(Q II), pages 38-55.
    29. Charles F. Manski, 2005. "Search Profiling with Partial Knowledge of Deterrence," NBER Working Papers 11848, National Bureau of Economic Research, Inc.
    30. Jörg Stoye, 2011. "Statistical decisions under ambiguity," Theory and Decision, Springer, vol. 70(2), pages 129-148, February.
    31. Kindy R. Sjahrir, 2018. "Formulating Regional Competitiveness Fiscal Policy based upon Leverage Factors for Indonesian Data," Working Papers in Economics and Development Studies (WoPEDS) 201804, Department of Economics, Padjadjaran University, revised Dec 2018.
    32. Charles F. Manski & John Newman & John V. Pepper, 2002. "Using Performance Standards to Evaluate Social Programs with Incomplete Outcome Data," Evaluation Review, , vol. 26(4), pages 355-381, August.
    33. Muller, Sean, 2014. "Randomised trials for policy: a review of the external validity of treatment effects," SALDRU Working Papers 127, Southern Africa Labour and Development Research Unit, University of Cape Town.
    34. Tuomas Takalo & Tanja Tanayama & Otto Toivanen, 2005. "Selection Or Self-Rejection? Applications Into A Treatment," Industrial Organization 0510002, University Library of Munich, Germany.
    35. Hayashi, Takashi, 2008. "Regret aversion and opportunity dependence," Journal of Economic Theory, Elsevier, vol. 139(1), pages 242-268, March.
    36. Kohei Yata, 2021. "Optimal Decision Rules Under Partial Identification," Papers 2111.04926, arXiv.org, revised Aug 2023.
    37. Qin, Duo, 2015. "Resurgence of the endogeneity-backed instrumental variable methods," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-35.
    38. Pamela Giustinelli & Charles F Manski & Francesca Molinari, 2022. "Precise or Imprecise Probabilities? Evidence from Survey Response Related to Late-Onset Dementia," Journal of the European Economic Association, European Economic Association, vol. 20(1), pages 187-221.
    39. Herman R.J. Vollebergh & Bertrand Melenberg & Elbert Dijkgraaf, 2007. "Identifying Reduced-Form Relations with Panel Data," Tinbergen Institute Discussion Papers 07-072/3, Tinbergen Institute.
    40. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.
    41. Mark C. Berger & Dan Black & Jeffrey Smith, 2000. "Evaluating Profiling as a Means of Allocating Government Services," University of Western Ontario, Departmental Research Report Series 200018, University of Western Ontario, Department of Economics.
    42. Stoye, Jörg, 2009. "Minimax regret treatment choice with finite samples," Journal of Econometrics, Elsevier, vol. 151(1), pages 70-81, July.
    43. Eichberger, Jürgen & Guerdjikova, Ani, 2013. "Ambiguity, data and preferences for information – A case-based approach," Journal of Economic Theory, Elsevier, vol. 148(4), pages 1433-1462.
    44. Keisuke Hirano & Jack R. Porter, 2016. "Panel Asymptotics and Statistical Decision Theory," The Japanese Economic Review, Springer, vol. 67(1), pages 33-49, March.
    45. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Feb 2024.
    46. Ulaşan, Bülent, 2011. "Cross-country growth empirics and model uncertainty: An overview," Economics Discussion Papers 2011-37, Kiel Institute for the World Economy (IfW Kiel).
    47. Takuya Ishihara & Daisuke Kurisu, 2022. "Shrinkage Methods for Treatment Choice," Papers 2210.17063, arXiv.org.
    48. Singer, Marcos & Donoso, Patricio & Rodríguez-Sickert, Carlos, 2008. "A static model of cooperation for group-based incentive plans," International Journal of Production Economics, Elsevier, vol. 115(2), pages 492-501, October.
    49. Oscar Mitnik, 2008. "How do Training Programs Assign Participants to Training? Characterizing the Assignment Rules of Government Agencies for Welfare-to-Work Programs in California," Working Papers 0907, University of Miami, Department of Economics.
    50. Maria Salgano, 2006. "Choosing to Have Less Choice," Working Papers 2006.37, Fondazione Eni Enrico Mattei.
    51. Eichberger, Jürgen & Guerdjikova, Ani, 2010. "Case-based belief formation under ambiguity," Mathematical Social Sciences, Elsevier, vol. 60(3), pages 161-177, November.
    52. Vollebergh, Herman R.J. & Melenberg, Bertrand & Dijkgraaf, Elbert, 2009. "Identifying reduced-form relations with panel data: The case of pollution and income," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 27-42, July.
    53. Basu, Anirban, 2015. "Welfare implications of learning through solicitation versus diversification in health care," Journal of Health Economics, Elsevier, vol. 42(C), pages 165-173.
    54. Charles F. Manski, 2005. "Fractional Treatment Rules for Social Diversification of Indivisible Private Risks," NBER Working Papers 11675, National Bureau of Economic Research, Inc.
    55. Bas van der Klaauw & Sandra Vriend, 2015. "A Nonparametric Method for Predicting Survival Probabilities," Tinbergen Institute Discussion Papers 15-126/V, Tinbergen Institute.
    56. Rajeev Dehejia, 1999. "Program Evaluation as a Decision Problem," NBER Working Papers 6954, National Bureau of Economic Research, Inc.
    57. Patrick Bajari & Chenghuan Sean Chu & Denis Nekipelov & Minjung Park, 2013. "A Dynamic Model of Subprime Mortgage Default: Estimation and Policy Implications," NBER Working Papers 18850, National Bureau of Economic Research, Inc.
    58. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.
    59. Patrick Kline & Christopher Walters, 2021. "Reasonable Doubt: Experimental Detection of Job‐Level Employment Discrimination," Econometrica, Econometric Society, vol. 89(2), pages 765-792, March.
    60. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," PIER Working Paper Archive 20-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
      • Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
    61. Charles F. Manski, 2003. "Identification Problems in the Social Sciences and Everyday Life," Southern Economic Journal, John Wiley & Sons, vol. 70(1), pages 11-21, July.
    62. Ricardo Hausmann & Bailey Klinger & Rodrigo Wagner, 2008. "Doing Growth Diagnostics in Practice: A 'Mindbook'," CID Working Papers 177, Center for International Development at Harvard University.
    63. Salgado, Maria, 2006. "Choosing to Have Less Choice," Economic Theory and Applications Working Papers 12188, Fondazione Eni Enrico Mattei (FEEM).
    64. Charles F. Manski, 2016. "Credible Ecological Inference for Personalized Medicine: Formalizing Clinical Judgment," NBER Working Papers 22643, National Bureau of Economic Research, Inc.
    65. Manski, Charles F., 2007. "Minimax-regret treatment choice with missing outcome data," Journal of Econometrics, Elsevier, vol. 139(1), pages 105-115, July.
    66. Juliano Assuncao & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," Working Papers tecipa-631, University of Toronto, Department of Economics.
    67. Conny Wunsch, 2007. "Optimal Use of Labour Market Policies," University of St. Gallen Department of Economics working paper series 2007 2007-26, Department of Economics, University of St. Gallen.
    68. Charles F. Manski, 1999. "Statistical Treatment Rules for Heterogeneous Populations: With Application to Randomized Experiments," NBER Technical Working Papers 0242, National Bureau of Economic Research, Inc.
    69. Masahiro Kato, 2023. "Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget," Papers 2310.19788, arXiv.org, revised Mar 2024.
    70. Stefan Boes, 2009. "Partial Identification of Discrete Counterfactual Distributions with Sequential Update of Information," SOI - Working Papers 0918, Socioeconomic Institute - University of Zurich.
    71. Otsu, Taisuke, 2008. "Large deviation asymptotics for statistical treatment rules," Economics Letters, Elsevier, vol. 101(1), pages 53-56, October.
    72. Qin, Duo, 2014. "Resurgence of instrument variable estimation and fallacy of endogeneity," Economics Discussion Papers 2014-42, Kiel Institute for the World Economy (IfW Kiel).

  83. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    See citations under working paper version above.
  84. Charles F. Manski & John D. Straub, 2000. "Worker Perceptions of Job Insecurity in the Mid-1990s: Evidence from the Survey of Economic Expectations," Journal of Human Resources, University of Wisconsin Press, vol. 35(3), pages 447-479.
    See citations under working paper version above.
  85. Manski, Charles F, 1999. "Analysis of Choice Expectations in Incomplete Scenarios," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 49-66, December.

    Cited by:

    1. Romuald Meango, 2023. "Identification of Ex Ante Returns Using Elicited Choice Probabilities," Papers 2303.03009, arXiv.org.
    2. Petra Todd & Kenneth I. Wolpin, 2002. "Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility: Assessing the Impact of a School Subsidy Program in Mexico," PIER Working Paper Archive 03-022, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Sep 2003.
    3. Gizem Koşar & Cormac O'Dea, 2022. "Expectations Data in Structural Microeconomic Models," Staff Reports 1018, Federal Reserve Bank of New York.
    4. Martin Boyer & Philippe De Donder & Claude Fluet & Marie-Louise Leroux & Pierre-Carl Michaud, 2017. "Long-term Care Insurance: Knowledge Barriers, Risk Perception and Adverse Selection," Cahiers de recherche 1701, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    5. Bruno Contini, 2008. "Forecasting errors: yet more problems for identification?," LABORatorio R. Revelli Working Papers Series 88, LABORatorio R. Revelli, Centre for Employment Studies.
    6. Kesternich, Iris & Heiss, Florian & McFadden, Daniel & Winter, Joachim, 2013. "Suit the action to the word, the word to the action: Hypothetical choices and real decisions in Medicare Part D," Journal of Health Economics, Elsevier, vol. 32(6), pages 1313-1324.
    7. M. Martin Boyer & Philippe De Donder & Claude Fluet & Marie-Louise Leroux & Pierre-Carl Michaud, 2018. "A Canadian Parlor Room-Type Approach to the Long-Term Care Insurance Puzzle," Cahiers de recherche 1804, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    8. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    9. Lergetporer, Philipp & Werner, Katharina & Woessmann, Ludger, 2018. "Does Ignorance of Economic Returns and Costs Explain the Educational Aspiration Gap? Evidence from Representative Survey Experiments," CAGE Online Working Paper Series 371, Competitive Advantage in the Global Economy (CAGE).
    10. Katharina Werner, 2019. "The Role of Information for Public Preferences on Education – Evidence from Representative Survey Experiments," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 82.
    11. M. Martin Boyer & Sébastien Box-Couillard & Pierre-Carl Michaud, 2018. "Demand for Annuities: Price Sensitivity, Risk Perceptions, and Knowledge," CIRANO Working Papers 2018s-33, CIRANO.
    12. M. Martin Boyer & Philippe De Donder & Claude Fluet & Marie-Louise Leroux & Pierre-Carl Michaud, 2020. "Long-Term Care Insurance: Information Frictions and Selection," American Economic Journal: Economic Policy, American Economic Association, vol. 12(3), pages 134-169, August.
    13. Kettlewell, Nathan & Walker, Matthew J. & Yoo, Hong Il, 2024. "Alternative Models of Preference Heterogeneity for Elicited Choice Probabilities," IZA Discussion Papers 16821, Institute of Labor Economics (IZA).
    14. Ismael Choinière-Crèvecoeur & Pierre-Carl Michaud, 2023. "Reverse Mortgages and Financial Literacy," Cahiers de recherche / Working Papers 12, Institut sur la retraite et l'épargne / Retirement and Savings Institute.
    15. Juerg Schweri, 2021. "Predicting polytomous career choices in healthcare using probabilistic expectations data," Health Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 544-563, March.
    16. Caplan, Arthur J. & Akhundjanov, Sherzod B. & Toll, Kristopher, 2021. "Measuring heterogeneous preferences for residential amenities," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    17. Tomás del Barrio Casto & William Nilsson & Andrés J. Picazo-Tadeo, 2013. "How wrong can you be, without noticing? Further evidence on speci?cation errors in the Conditional Logit," Working Papers 1318, Department of Applied Economics II, Universidad de Valencia.
    18. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    19. Todd Stinebrickner & Ralph Stinebrickner, 2008. "Learning About Academic Ability and the College Drop-Out Decision," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20086, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    20. Grazia Cecere & Nicoletta Corrocher & Marco Guerzoni, 2018. "Price or performance? A probabilistic choice analysis of the intention to buy electric vehicles in European countries," Post-Print hal-01883530, HAL.
    21. Morita, Tamaki & Managi, Shunsuke, 2015. "Consumers’ willingness to pay for electricity after the Great East Japan Earthquake," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 82-105.
    22. Pamela Giustinelli, 2016. "Group Decision Making With Uncertain Outcomes: Unpacking Child–Parent Choice Of The High School Track," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 573-602, May.
    23. Romauld Méango, 2023. "Identification of ex ante returns using elicited choice probabilities," Economics Series Working Papers 1007, University of Oxford, Department of Economics.
    24. Delavande, Adeline & Rohwedder, Susann, 2017. "Changes in spending and labor supply in response to a Social Security benefit cut: Evidence from stated choice data," The Journal of the Economics of Ageing, Elsevier, vol. 10(C), pages 34-50.
    25. Maestas, Nicole & Mullen, Kathleen & Powell, David & Wachter, Till von & Wenger, Jeffrey, 2018. "The Value of Working Conditions in the United States and Implications for the Structure of Wages," IZA Discussion Papers 11925, Institute of Labor Economics (IZA).
    26. Domínguez-Torreiro, Marcos & Soliño, Mario, 2011. "Provided and perceived status quo in choice experiments: Implications for valuing the outputs of multifunctional rural areas," Ecological Economics, Elsevier, vol. 70(12), pages 2523-2531.
    27. Pedersen, Line Bjørnskov & Mørkbak, Morten Raun & Scarpa, Riccardo, 2020. "Handling resolvable uncertainty from incomplete scenarios in future doctors' job choice – Probabilities vs discrete choices," Journal of choice modelling, Elsevier, vol. 34(C).
    28. Asher A. Blass & Saul Lach & Charles F. Manski, 2008. "Using Elicited Choice Probabilities to Estimate Random Utility Models: Preferences for Electricity Reliability," NBER Working Papers 14451, National Bureau of Economic Research, Inc.
    29. Boneva, T. & Golin, M. & Rauh, C., 2021. "Can Perceived Returns Explain Enrollment Gaps in Postgraduate Education?," Cambridge Working Papers in Economics 2140, Faculty of Economics, University of Cambridge.
    30. Peter Arcidiacono & V. Joseph Hotz & Songman Kang, 2010. "Modeling College Major Choices using Elicited Measures of Expectations and Counterfactuals," NBER Working Papers 15729, National Bureau of Economic Research, Inc.
    31. Robert Chambers & Teresa Serra & Spiro Stefanou, 2015. "Using ex ante output elicitation to model state-contingent technologies," Journal of Productivity Analysis, Springer, vol. 43(1), pages 75-83, February.
    32. Koşar, Gizem & Ransom, Tyler & van der Klaauw, Wilbert, 2019. "Understanding Migration Aversion Using Elicited Counterfactual Choice Probabilities," IZA Discussion Papers 12271, Institute of Labor Economics (IZA).
    33. Zhang, Junyi, 2014. "Revisiting residential self-selection issues: A life-oriented approach," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 29-45.
    34. Stephen L. Morgan, 2004. "Methodologist as Arbitrator," Sociological Methods & Research, , vol. 33(1), pages 3-53, August.
    35. Wilbert van der Klaauw & Kenneth I. Wolpin, 2005. "Social Security and the Retirement and Savings Behavior of Low Income Households," PIER Working Paper Archive 05-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    36. Daniel McFadden & Albert Bemmaor & Francis Caro & Jeff Dominitz & Byung-Hill Jun & Arthur Lewbel & Rosa Matzkin & Francesca Molinari & Norbert Schwarz & Robert Willis & Joachim Winter, 2005. "Statistical Analysis of Choice Experiments and Surveys," Marketing Letters, Springer, vol. 16(3), pages 183-196, December.
    37. Philipp Lergetporer & Katharina Werner & Ludger Woessmann, 2021. "Does Ignorance of Economic Returns and Costs Explain the Educational Aspiration Gap? Representative Evidence from Adults and Adolescents," Economica, London School of Economics and Political Science, vol. 88(351), pages 624-670, July.
    38. Sharique Hasan & Surendrakumar Bagde, 2015. "Peers and Network Growth: Evidence from a Natural Experiment," Management Science, INFORMS, vol. 61(10), pages 2536-2547, October.
    39. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    40. Fujimoto, Takashi & Watanabe, Masahide, 2022. "Comparison of the price adjustment program and subsidy scheme in Japan: Evaluation of domestic sugar support policy to internalize positive externalities," Japan and the World Economy, Elsevier, vol. 61(C).
    41. Philip Kostov & John Lingard, 2004. "Risk Management – Managing Risks, not Calculating Them," Risk and Insurance 0409001, University Library of Munich, Germany.
    42. Prathivadi Bhayankaram Anand, 2001. "Consumer Preferences for Water Supply?: an Application of Choice Models to Urban India," WIDER Working Paper Series DP2001-145, World Institute for Development Economic Research (UNU-WIDER).
    43. Diaz-Serrano, Luis & Nilsson, William, 2017. "The Reliability of Students' Earnings Expectations," IZA Discussion Papers 10700, Institute of Labor Economics (IZA).
    44. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    45. Zhang, Junyi & Yu, Biying & Chikaraishi, Makoto, 2014. "Interdependences between household residential and car ownership behavior: a life history analysis," Journal of Transport Geography, Elsevier, vol. 34(C), pages 165-174.

  86. Horowitz, Joel L. & Manski, Charles F., 1998. "Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations," Journal of Econometrics, Elsevier, vol. 84(1), pages 37-58, May.
    See citations under working paper version above.
  87. Charles F. Manski, 1997. "The Mixing Problem in Programme Evaluation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 537-553.
    See citations under working paper version above.
  88. Charles F. Manski, 1997. "Monotone Treatment Response," Econometrica, Econometric Society, vol. 65(6), pages 1311-1334, November.
    See citations under working paper version above.
  89. Charles F. Manski, 1996. "Learning about Treatment Effects from Experiments with Random Assignment of Treatments," Journal of Human Resources, University of Wisconsin Press, vol. 31(4), pages 709-733.

    Cited by:

    1. Cristian Aedo & Sergio Nuñez, 2004. "Efectos de las políticas de capacitación en América Latina y el Caribe: el caso del Programa Joven," Research Department Publications 3176, Inter-American Development Bank, Research Department.
    2. King , Elizabeth M. & Behrman, Jere R., 2008. "Timing and duration of exposure in evaluations of social programs," Policy Research Working Paper Series 4686, The World Bank.
    3. Mullahy, John, 2018. "Individual results may vary: Inequality-probability bounds for some health-outcome treatment effects," Journal of Health Economics, Elsevier, vol. 61(C), pages 151-162.
    4. Michalopoulos, Charles & Robins, Philip K. & Card, David, 2005. "When financial work incentives pay for themselves: evidence from a randomized social experiment for welfare recipients," Journal of Public Economics, Elsevier, vol. 89(1), pages 5-29, January.
    5. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April.
    6. Léandre BASSOLE & Jean-Louis ARCAND, 2006. "Does Community Driven Development Work? Evidence from Senegal," Working Papers 200606, CERDI.
    7. Omar Isaac Asensio & Magali A Delmas, 2016. "The dynamics of behavior change: Evidence from energy conservation," Natural Field Experiments 00636, The Field Experiments Website.
    8. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    9. Aedo, Cristían & Nuñez, Sergio, 2004. "The Impact of Training Policies in Latin America and the Caribbean: The Case of Programa Joven," IDB Publications (Working Papers) 3287, Inter-American Development Bank.
    10. Valdés, Nieves, 2008. "Did PROGRESA send drop-outs back to school?," UC3M Working papers. Economics we085926, Universidad Carlos III de Madrid. Departamento de Economía.
    11. John Mullahy, 2017. "Individual Results May Vary: Elementary Analytics of Inequality-Probability Bounds, with Applications to Health-Outcome Treatment Effects," NBER Working Papers 23603, National Bureau of Economic Research, Inc.
    12. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    13. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    14. Mueser, Peter R. & Troske, Kenneth & Gorislavsky, Alexey, 2003. "Using State Administrative Data to Measure Program Performance," IZA Discussion Papers 786, Institute of Labor Economics (IZA).
    15. Angus Deaton, 2010. "Instruments, Randomization, and Learning about Development," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 424-455, June.
    16. Tat Y. Chan & Barton H. Hamilton, 2006. "Learning, Private Information, and the Economic Evaluation of Randomized Experiments," Journal of Political Economy, University of Chicago Press, vol. 114(6), pages 997-1040, December.
    17. Angus Deaton, 2009. "Instruments of development: Randomization in the tropics, and the search for the elusive keys to economic development," Working Papers 1122, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    18. Jere R. Behrman & John Hoddinott, 2005. "Programme Evaluation with Unobserved Heterogeneity and Selective Implementation: The Mexican PROGRESA Impact on Child Nutrition," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(4), pages 547-569, August.
    19. Jens Otto Ludwig & Greg Duncan & Joshua C. Pinkston, 2000. "Neighborhood Effects on Economic Self-Sufficiency: Evidence from a Randomized Housing-Mobility Experiment," JCPR Working Papers 159, Northwestern University/University of Chicago Joint Center for Poverty Research.
    20. Daniel A. Ackerberg & Matilde P. Machado & Michael H. Riordan, 2001. "Measuring the Relative Performance of Providers of a Health Service," NBER Working Papers 8385, National Bureau of Economic Research, Inc.
    21. Sianesi, Barbara, 2017. "Evidence of randomisation bias in a large-scale social experiment: The case of ERA," Journal of Econometrics, Elsevier, vol. 198(1), pages 41-64.
    22. Palma, Marco A. & Segovia, Michelle S. & Kassas, Bachir & Ribera, Luis A. & Hall, Charles R., 2018. "Self-control: Knowledge or perishable resource?," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 80-94.
    23. Robert A. Pollak, 1998. "Notes on How Economists Think . . ," JCPR Working Papers 35, Northwestern University/University of Chicago Joint Center for Poverty Research.
    24. Manski, Charles F., 2002. "Identification of decision rules in experiments on simple games of proposal and response," European Economic Review, Elsevier, vol. 46(4-5), pages 880-891, May.
    25. Andreas Hildenbrand & Rainer Kühl & Anne Piper, 2016. "On the Credibility Determinants of a Quality Label: a Quasi-Natural Experiment Using the Example of Stiftung Warentest," Journal of Consumer Policy, Springer, vol. 39(3), pages 307-325, September.
    26. Barbara Sianesi, 2013. "Dealing with randomisation bias in a social experiment exploiting the randomisation itself: the case of ERA," IFS Working Papers W13/15, Institute for Fiscal Studies.
    27. Cristian Aedo & Sergio Nuñez, 2004. "The Impact of Training Policies in Latin America and the Caribbean: The Case of Programa Joven," Research Department Publications 3175, Inter-American Development Bank, Research Department.
    28. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," PIER Working Paper Archive 20-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
      • Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Robust Forecasting," Papers 2011.03153, arXiv.org, revised Dec 2020.
    29. Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables: With an Application to the Returns to Schooling," Virginia Economics Online Papers 308, University of Virginia, Department of Economics.
    30. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
    31. Gould, Eric & Lavy, Victor & Paserman, Daniele, 2003. "Immigrating to Opportunity: Estimating the Effect of School Quality Using a Natural Experiment on Ethiopians in Israel," CEPR Discussion Papers 4052, C.E.P.R. Discussion Papers.
    32. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    33. Hunt Allcott, 2012. "Site Selection Bias in Program Evaluation," NBER Working Papers 18373, National Bureau of Economic Research, Inc.
    34. John V. Pepper, 2003. "Using Experiments to Evaluate Performance Standards: What Do Welfare-to-Work Demonstrations Reveal to Welfare Reformers?," Journal of Human Resources, University of Wisconsin Press, vol. 38(4).
    35. Fabio Soares & Yuri Suarez Dillon Soares, 2005. "The Socio-Economic Impact of Favela- Bairro: What do the Data Say?," OVE Working Papers 0805, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    36. Barbara Sianesi, 2014. "Dealing with randomisation bias in a social experiment: the case of ERA," IFS Working Papers W14/10, Institute for Fiscal Studies.
    37. Bronchetti, Erin Todd, 2012. "Workers' compensation and consumption smoothing," Journal of Public Economics, Elsevier, vol. 96(5), pages 495-508.
    38. John V. Pepper, 1999. "What Do Welfare-to-Work Demonstrations Reveal to Welfare Reformers?," Virginia Economics Online Papers 317, University of Virginia, Department of Economics.
    39. Bronchetti, Erin Todd, 2014. "Public insurance expansions and the health of immigrant and native children," Journal of Public Economics, Elsevier, vol. 120(C), pages 205-219.
    40. Greg Duncan & Stephen W. Raudenbush, 1998. "Neighborhoods and Adolescent Development: How Can We Determine the Links?," JCPR Working Papers 59, Northwestern University/University of Chicago Joint Center for Poverty Research.

  90. Jeff Dominitz & Charles F. Manski, 1996. "Eliciting Student Expectations of the Returns to Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 31(1), pages 1-26.
    See citations under working paper version above.
  91. Arthur S. Goldberger & Charles F. Manski, 1995. "The Bell Curve: Review Article," Journal of Economic Literature, American Economic Association, vol. 33(2), pages 762-776, June.

    Cited by:

    1. Dionissi Aliprantis & Daniel R. Carroll, 2018. "Neighborhood dynamics and the distribution of opportunity," Quantitative Economics, Econometric Society, vol. 9(1), pages 247-303, March.
    2. Gabriela Schütz & Ludger Wößmann, 2005. "Reducing inequality in educational opportunity," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(21), pages 15-25, November.
    3. Erik Plug & Wim Vijverberg, 2003. "Schooling, Family Background, and Adoption: Is It Nature or Is It Nurture?," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 611-641, June.
    4. Hanushek, Eric A. & Jacobs, Babs & Schwerdt, Guido & Van der Velden, Rolf & Vermeulen, Stan & Wiederhold, Simon, 2021. "The Intergenerational Transmission of Cognitive Skills: An Investigation of the Causal Impact of Families on Student Outcomes," IZA Discussion Papers 14854, Institute of Labor Economics (IZA).
    5. Arnaud Chevalier & Gauthier Lanot, 2001. "The relative effect of family and financial characteristics on educational echievement," CEE Discussion Papers 0008, Centre for the Economics of Education, LSE.
    6. Janet Currie & Duncan Thomas, 1995. "Race, Children's Cognitive Achievement and The Bell Curve," NBER Working Papers 5240, National Bureau of Economic Research, Inc.
    7. Zetterberg, Johnny, 2005. "Swedish evidence on the impact of cognitive and non-cognitive ability on earnings – an extended pre-market factor approach," Working Paper Series 2005:16, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    8. Berhman, J-R & Kletzer, L & Constantine, J & McPherson, M & Schapiro, M-O, 1996. "The Impact of College Quality on Wages : Are There Differences Among Demographic Groups?," Williams Project on the Economics of Higher Education DP-38, Department of Economics, Williams College.
    9. Arnaud Chevalier & Gauthier Lanot, 2002. "The Relative Effect of Family Characteristics and Financial Situation on Educational Achievement," Education Economics, Taylor & Francis Journals, vol. 10(2), pages 165-181.
    10. Fernando Galindo-Rueda & Anna Vignoles, 2003. "Class Ridden or Meritocratic? An Economic Analysis of Recent Changes in Britain," CEE Discussion Papers 0032, Centre for the Economics of Education, LSE.
    11. Roland G. Fryer, Jr. & Steven D. Levitt, 2002. "Understanding the Black-White Test Score Gap in the First Two Years of School," NBER Working Papers 8975, National Bureau of Economic Research, Inc.
    12. Israel, Mark & Seeborg, Michael, 1998. "The impact of youth characteristics and experiences on transitions out of poverty," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 27(6), pages 753-776.
    13. Bönke, Timm & Neidhöfer, Guido, 2014. "Parental background matters: Intergenerational mobility and assimilation of Italian immigrants in Germany," Discussion Papers 2014/21, Free University Berlin, School of Business & Economics.
    14. Michael R. Pergamit, 2001. "The National Longitudinal Surveys," Journal of Economic Perspectives, American Economic Association, vol. 15(2), pages 239-253, Spring.
    15. Murnane, Richard J. & Willett, John B. & Braatz, M. Jay & Duhaldeborde, Yves, 2001. "Do different dimensions of male high school students' skills predict labor market success a decade later? Evidence from the NLSY," Economics of Education Review, Elsevier, vol. 20(4), pages 311-320, August.
    16. Seals, Richard Alan & Stern, Liliana V., 2013. "Cognitive ability and the division of labor in urban ghettos: Evidence from gang activity in U.S. data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 44(C), pages 140-149.
    17. Charles F. Manski, 2011. "Genes, Eyeglasses, and Social Policy," Journal of Economic Perspectives, American Economic Association, vol. 25(4), pages 83-94, Fall.
    18. Marks, Gary N., 2022. "Cognitive ability has powerful, widespread and robust effects on social stratification: Evidence from the 1979 and 1997 US National Longitudinal Surveys of Youth," Intelligence, Elsevier, vol. 94(C).
    19. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    20. Sanders Korenman & Christopher Winship, 1995. "A Reanalysis of The Bell Curve," NBER Working Papers 5230, National Bureau of Economic Research, Inc.
    21. Blackburn, McKinley L., 2004. "The role of test scores in explaining race and gender differences in wages," Economics of Education Review, Elsevier, vol. 23(6), pages 555-576, December.

  92. Horowitz, Joel L & Manski, Charles F, 1995. "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, Econometric Society, vol. 63(2), pages 281-302, March.

    Cited by:

    1. Christian Bontemps & Thierry Magnac & Eric Maurin, 2012. "Set Identified Linear Models," Econometrica, Econometric Society, vol. 80(3), pages 1129-1155, May.
    2. Takuya Ishihara & Masayuki Sawada, 2020. "Manipulation-Robust Regression Discontinuity Designs," Papers 2009.07551, arXiv.org, revised Oct 2023.
    3. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    4. Essig, Lothar & Winter, Joachim, 2003. "Item nonresponse to financial questions in household surveys: An experimental study of interviewer and mode effects," Sonderforschungsbereich 504 Publications 05-18, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    5. Martin Huber & Giovanni Mellace, 2015. "Sharp Bounds on Causal Effects under Sample Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 129-151, February.
    6. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    7. Brent Kreider & Steven C. Hill, 2009. "Partially Identifying Treatment Effects with an Application to Covering the Uninsured," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    8. Lafférs, Lukáš & Mellace, Giovanni, 2020. "Identification of the average treatment effect when SUTVA is violated," Discussion Papers on Economics 3/2020, University of Southern Denmark, Department of Economics.
    9. Amanda Gosling & Eirini‐Christina Saloniki, 2014. "Correction Of Misclassification Error In Disability Rates," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1084-1097, September.
    10. Charles F. Manski, 2017. "Improving Clinical Guidelines and Decisions under Uncertainty," NBER Working Papers 23915, National Bureau of Economic Research, Inc.
    11. Winter, Joachim, 2002. "Bracketing effects in categorized survey questions and the measurement of economic quantities," Papers 02-35, Sonderforschungsbreich 504.
    12. Molinari, Francesca, 2005. "Missing Treatments," Working Papers 05-11, Cornell University, Center for Analytic Economics.
    13. D. O'Neill & Sweetman. O. & Van de gaer D., 2005. "The Consequences of Non-Classical Measurement Error for Distributional Analysis," Economics Department Working Paper Series n1490205, Department of Economics, National University of Ireland - Maynooth.
    14. Laurent Davezies & Thomas Le Barbanchon, 2014. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," Working Papers 2014-27, Center for Research in Economics and Statistics.
    15. Clément de Chaisemartin, 2012. "Fuzzy differences in differences," PSE Working Papers halshs-00671368, HAL.
    16. Bhalotra, S & Clarke, D & Muhlrad, H & Palme, M, 2022. "Health and Labor Market Impacts of Twin Birth: Evidence from a Swedish IVF Policy Mandate," CAGE Online Working Paper Series 602, Competitive Advantage in the Global Economy (CAGE).
    17. Tatiana V. Komarova & Denis Nekipelov & Evgeny Yakovlev, 2011. "Identification, data combination and the risk of disclosure," CeMMAP working papers CWP38/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Clément de Chaisemartin & Xavier d'Haultfoeuille, 2014. "Fuzzy Changes-in-Changes," Working Papers 2014-18, Center for Research in Economics and Statistics.
    19. Yuichi Kitamura & Louise Laage, 2018. "Nonparametric Analysis of Finite Mixtures," Papers 1811.02727, arXiv.org.
    20. Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021. "Marginal Treatment Effects with Misclassified Treatment," ISU General Staff Papers 202106180700001132, Iowa State University, Department of Economics.
    21. Matthew Masten & Alexandre Poirier, 2017. "Inference on breakdown frontiers," CeMMAP working papers 20/17, Institute for Fiscal Studies.
    22. Koedel Cory & Leatherman Rebecca & Parsons Eric, 2012. "Test Measurement Error and Inference from Value-Added Models," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-37, November.
    23. Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
    24. Charles Mullin, 2000. "Bounding Causal Effects with Contaminated and Censored Data: Reassessing the Impact of Early Childbearing on Children," Vanderbilt University Department of Economics Working Papers 0039, Vanderbilt University Department of Economics.
    25. Martin Huber & Giovanni Mellace, 2014. "Testing exclusion restrictions and additive separability in sample selection models," Empirical Economics, Springer, vol. 47(1), pages 75-92, August.
    26. Gundersen, Craig & Kreider, Brent, 2008. "Food Stamps and Food Insecurity What Can Be Learned in the Presence of Nonclassical Measurement Error?," ISU General Staff Papers 200804010700001260, Iowa State University, Department of Economics.
    27. Horowitz, Joel L. & Manski, Charles F., 1998. "Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations," Journal of Econometrics, Elsevier, vol. 84(1), pages 37-58, May.
    28. Hector Chade & Gustavo Ventura, 1998. "Taxes and Marriage: A Two-Sided Search Analysis," University of Western Ontario, Departmental Research Report Series 9819, University of Western Ontario, Department of Economics.
    29. Manski, Charles F., 2016. "Credible interval estimates for official statistics with survey nonresponse," Journal of Econometrics, Elsevier, vol. 191(2), pages 293-301.
    30. Samantha Leorato & Franco Peracchi, 2015. "Shape Regressions," EIEF Working Papers Series 1506, Einaudi Institute for Economics and Finance (EIEF), revised Jul 2015.
    31. Martha J. Bailey & Connor Cole & Morgan Henderson & Catherine Massey, 2020. "How Well Do Automated Linking Methods Perform? Lessons from US Historical Data," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 997-1044, December.
    32. Orville Mondal & Rui Wang, 2024. "Partial Identification of Binary Choice Models with Misreported Outcomes," Papers 2401.17137, arXiv.org.
    33. Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers CWP05/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    34. Cheti Nicoletti, 2010. "Poverty analysis with missing data: alternative estimators compared," Empirical Economics, Springer, vol. 38(1), pages 1-22, February.
    35. Marinho Bertanha & Margaux Luflade & Ismael Mourifi'e, 2023. "Causal Effects in Matching Mechanisms with Strategically Reported Preferences," Papers 2307.14282, arXiv.org.
    36. Erich Battistin & Michele De Nadai & Daniela Vuri, 2014. "Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary Schools," CEIS Research Paper 329, Tor Vergata University, CEIS, revised 08 Sep 2014.
    37. Brent Kreider & John V. Pepper & Manan Roy, 2020. "Does The Women, Infants, And Children Program Improve Infant Health Outcomes?," Economic Inquiry, Western Economic Association International, vol. 58(4), pages 1731-1756, October.
    38. Ian Walker & Yu Zhu, 2009. "The Causal Effect of Teen Motherhood on Worklessness," Studies in Economics 0917, School of Economics, University of Kent.
    39. Srini Vasan & Adelamar Alcantara, 2016. "GIS-based Methods for Estimating Missing Poverty Rates & Projecting Future Rates in Census Tracts," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 1-13, August.
    40. Brent Kreider & John V. Pepper, 2011. "Identification of Expected Outcomes in a Data Error Mixing Model With Multiplicative Mean Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 49-60, January.
    41. Eirini-Christina Saloniki & Amanda Gosling, 2012. "Point identification in the presence of measurement error in discrete variables: application - wages and disability," Studies in Economics 1214, School of Economics, University of Kent.
    42. Haile,P.A. & Tamer,E.T., 2000. "Inference with an incomplete model of English auctions," Working papers 18, Wisconsin Madison - Social Systems.
    43. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
    44. Rieck, Karsten Marshall E. & Telle, Kjetil, 2012. "Sick Leave Before, During and After Pregnancy," Working Papers in Economics 06/12, University of Bergen, Department of Economics.
    45. Bhalotra, Sonia R. & Clarke, Damian & Walther, Selma, 2022. "Women's Careers and Family Formation," IZA Discussion Papers 15639, Institute of Labor Economics (IZA).
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    Cited by:

    1. McDonald, James B., 1996. "An application and comparison of some flexible parametric and semi-parametric qualitative response models," Economics Letters, Elsevier, vol. 53(2), pages 145-152, November.
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    3. William Greene, 2007. "Discrete Choice Modeling," Working Papers 07-6, New York University, Leonard N. Stern School of Business, Department of Economics.
    4. Murat GENÇ & Murray SMITH, 2008. "Wage Gaps in the New Zealand Labour Market," EcoMod2008 23800042, EcoMod.

  94. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
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  95. Ahn, Hyungtaik & Manski, Charles F., 1993. "Distribution theory for the analysis of binary choice under uncertainty with nonparametric estimation of expectations," Journal of Econometrics, Elsevier, vol. 56(3), pages 291-321, April.

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    1. Burton Hollifield & Robert A. Miller & patrik Sandas, "undated". "An Empirical Analysis of Limit Order Markets," Rodney L. White Center for Financial Research Working Papers 29-99, Wharton School Rodney L. White Center for Financial Research.
    2. Andres Aradillas-Lopez & Adam Rosen, 2013. "Inference in ordered response games with complete information," CeMMAP working papers 33/13, Institute for Fiscal Studies.
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    4. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2014. "Maximum score estimation with nonparametrically generated regressors," CeMMAP working papers CWP27/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Patrick Bajari & Chenghuan Sean Chu & Denis Nekipelov & Minjung Park, 2016. "Identification and semiparametric estimation of a finite horizon dynamic discrete choice model with a terminating action," Quantitative Marketing and Economics (QME), Springer, vol. 14(4), pages 271-323, December.
    6. Escanciano, Juan Carlos & Jacho-Chávez, David T. & Lewbel, Arthur, 2014. "Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing," Journal of Econometrics, Elsevier, vol. 178(P3), pages 426-443.
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  96. Manski, Charles F., 1993. "Dynamic choice in social settings : Learning from the experiences of others," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 121-136, July.

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    5. Bala, Venkatesh & Sorger, Gerhard, 1998. "The evolution of human capital in an interacting agent economy," Journal of Economic Behavior & Organization, Elsevier, vol. 36(1), pages 85-108, July.
    6. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2014. "Maximum score estimation with nonparametrically generated regressors," CeMMAP working papers CWP27/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Atallah, Shadi S. & Huang, Ju-Chin & Leahy, Jessica & Bennett, Karen, 2020. "Preference Heterogeneity and Neighborhood Effect in Invasive Species Control: The Case of Glossy Buckthorn in New Hampshire and Maine Forests," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304623, Agricultural and Applied Economics Association.
    8. Le-Yu Chen, 2009. "Identification of structural dynamic discrete choice models," CeMMAP working papers CWP08/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Victor Aguirregabiria & Pedro Mira, 2000. "Structural Models Involving Highly Dimensional Fixed Point Problems: An Asymptotically Efficient Two-Stage Estimator," Econometric Society World Congress 2000 Contributed Papers 1702, Econometric Society.
    10. Yonghong An & Yingyao Hu & Ruli Xiao, 2018. "Dynamic decisions under subjective expectations: a structural analysis," CeMMAP working papers CWP11/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Xia, Xiaoyu, 2016. "Forming wage expectations through learning: Evidence from college major choices," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 176-196.
    12. Felix Mutter & Tim Pawlowski, 2014. "Role models in sports – Can success in professional sports increase the demand for amateur sport participation?," Sport Management Review, Taylor & Francis Journals, vol. 17(3), pages 324-336, July.
    13. Baerenklau, Kenneth A., 2004. "Simulating the Effects of a Green Payment Program on the Diffusion Rate of a Conservation Technology," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 33(1), pages 1-17, April.
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    15. Joseph Cullen & Nicolas Schutz & Oleksandr Shcherbakov, 2020. "The Welfare Effects of Early Termination Fees in the US Wireless Industry," CRC TR 224 Discussion Paper Series crctr224_2020_247, University of Bonn and University of Mannheim, Germany.
    16. M. Shahe Emran & Forhad Shilpi, 2011. "Intergenerational Occupational Mobility in Rural Economy: Evidence from Nepal and Vietnam," Journal of Human Resources, University of Wisconsin Press, vol. 46(2), pages 427-458.
    17. Houser, Daniel, 2003. "Bayesian analysis of a dynamic stochastic model of labor supply and saving," Journal of Econometrics, Elsevier, vol. 113(2), pages 289-335, April.
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    21. Louise C. Keely & Chih Ming Tan, 2005. "Understanding Preferences For Income Redestribution," Discussion Papers Series, Department of Economics, Tufts University 0511, Department of Economics, Tufts University.
    22. Lizhen Xu & Jason A. Duan & Yu Jeffrey Hu & Yuan Cheng & Yan Zhu, 2019. "Forward-Looking Behavior in Mobile Data Consumption and Targeted Promotion Design: A Dynamic Structural Model," Information Systems Research, INFORMS, vol. 30(2), pages 616-635, June.
    23. Adriana D. Kugler & Catherine H. Tinsley & Olga Ukhaneva, 2017. "Choice of Majors: Are Women Really Different from Men?," NBER Working Papers 23735, National Bureau of Economic Research, Inc.
    24. James J. Heckman & Salvador Navarro, 2005. "Dynamic Discrete Choice and Dynamic Treatment Effects," NBER Technical Working Papers 0316, National Bureau of Economic Research, Inc.
    25. Devin G. Pope & Jaren C. Pope, 2014. "Understanding College Application Decisions," Journal of Sports Economics, , vol. 15(2), pages 107-131, April.
    26. Olivier De Groote & Frank Verboven, 2019. "Subsidies and Time Discounting in New Technology Adoption: Evidence from Solar Photovoltaic Systems," American Economic Review, American Economic Association, vol. 109(6), pages 2137-2172, June.
    27. Oxoby, Robert J., 2008. "Skill uncertainty and social inference," Labour Economics, Elsevier, vol. 15(3), pages 400-405, June.
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    29. Leonardo Barros Torres & Jaylson Jair da Silveira, Gilberto Tadeu Lima, 2022. "To Comply or not to Comply: Persistent Heterogeneity in Tax Compliance and Macroeconomic Dynamics," Working Papers, Department of Economics 2022_04, University of São Paulo (FEA-USP).
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    1. Carmen Aina & Chiara Mussida & Gabriele Lombardi, 2023. "Are Business and Economics Alike?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(2), pages 557-585, July.
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    4. Ralph Stinebrickner & Todd Stinebrickner, 2013. "Academic Performance and College Dropout: Using Longitudinal Expectations Data to Estimate a Learning Model," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20135, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    5. Ralph Stinebrickner & Todd R. Stinebrickner, 2013. "A Major in Science? Initial Beliefs and Final Outcomes for College Major and Dropout," NBER Working Papers 19165, National Bureau of Economic Research, Inc.
    6. Murasawa, Yasutomo, 2023. "大学中退の逐次意思決定モデルの構造推定 [Structural estimation of a sequential decision model of college dropout]," MPRA Paper 118183, University Library of Munich, Germany.
    7. Lutz Hendricks & Oksana Leukhina, 2017. "Online Appendix to "How Risky is College Investment?"," Online Appendices 15-52, Review of Economic Dynamics.
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    9. Michael Kaganovich, 2023. "Trade-Offs in Choosing a College Major," CESifo Working Paper Series 10650, CESifo.
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    11. Cecilia Speroni, "undated". "High School Dual Enrollment Programs: Are We Fast-Tracking Students Too Fast?," Mathematica Policy Research Reports ae47a4f61e47474d97003704c, Mathematica Policy Research.
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    41. Timothy N. Bond & George Bulman & Xiaoxiao Li & Jonathan Smith, 2018. "Updating Human Capital Decisions: Evidence from SAT Score Shocks and College Applications," Journal of Labor Economics, University of Chicago Press, vol. 36(3), pages 807-839.
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    43. Bulman, George, 2017. "Weighting recent performance to improve college and labor market outcomes," Journal of Public Economics, Elsevier, vol. 146(C), pages 97-108.
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    49. Matsuda, Kazushige, 2020. "Optimal timing of college subsidies: Enrollment, graduation, and the skill premium," European Economic Review, Elsevier, vol. 129(C).
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    51. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2022. "The determinants of university dropout: A review of the socio-economic literature," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
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    63. Naik, Gopal & Chitre, Chetan & Bhalla, Manaswini & Rajan, Jothsna, 2020. "Impact of use of technology on student learning outcomes: Evidence from a large-scale experiment in India," World Development, Elsevier, vol. 127(C).
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    Cited by:

    1. Victor Aguirregabiria, 2006. "Another Look at the Identification of Dynamic Discrete Decision Processes: With an Application to Retirement Behavior," 2006 Meeting Papers 169, Society for Economic Dynamics.
    2. Christian Bontemps & Thierry Magnac & Eric Maurin, 2012. "Set Identified Linear Models," Econometrica, Econometric Society, vol. 80(3), pages 1129-1155, May.
    3. Arie Beresteanu, 2009. "Sharp Identification Regions in Models with Convex Predictions: Games, Individual Choice, and Incomplete Data," Working Paper 428, Department of Economics, University of Pittsburgh, revised Sep 2010.
    4. Kamila Cygan‐Rehm & Daniel Kuehnle & Michael Oberfichtner, 2017. "Bounding the causal effect of unemployment on mental health: Nonparametric evidence from four countries," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1844-1861, December.
    5. van Soest, Arthur & Hurd, Michael, 2008. "A Test for Anchoring and Yea-Saying in Experimental Consumption Data," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 126-136, March.
    6. Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2022. "Business Training with a Better-Informed Lender: Theory and Evidence from Microcredit in France," SciencePo Working papers Main halshs-03934370, HAL.
    7. Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
    8. Martin Huber & Giovanni Mellace, 2015. "Sharp Bounds on Causal Effects under Sample Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 129-151, February.
    9. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2013. "Specification tests for partially identified models defined by moment inequalities," CeMMAP working papers CWP01/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. John Mullahy, 2022. "Investigating health-related time use with partially observed data," Review of Economics of the Household, Springer, vol. 20(1), pages 103-121, March.
    11. Andrew Newell & Barry Reilly, 2000. "The Gender Pay Gap in the Transition from Communism: Some Empirical Evidence," William Davidson Institute Working Papers Series 305, William Davidson Institute at the University of Michigan.
    12. Lanot, G. & Walker, I., 1993. "The Union/Non-Union Wage Differential: an Application of Semi-Parametric Methods," Papers 9337, Laval - Recherche en Politique Economique.
    13. Amin, Vikesh & Behrman, Jere R. & Fletcher, Jason M. & Flores, Carlos A. & Flores-Lagunes, Alfonso & Kohler, Hans-Peter, 2022. "Does Schooling Improve Cognitive Abilities at Older Ages: Causal Evidence from Nonparametric Bounds," IZA Discussion Papers 15371, Institute of Labor Economics (IZA).
    14. Goldin, Jacob & Reck, Daniel, 2018. "The analysis of survey data with framing effects," LSE Research Online Documents on Economics 88481, London School of Economics and Political Science, LSE Library.
    15. van der Klaauw, Bas & Koning, Ruud H, 2003. "Testing the Normality Assumption in the Sample Selection Model with an Application to Travel Demand," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 31-42, January.
    16. Stoye, Jörg, 2012. "Minimax regret treatment choice with covariates or with limited validity of experiments," Journal of Econometrics, Elsevier, vol. 166(1), pages 138-156.
    17. Card, David & Ibarrarán, Pablo & Villa, Juan Miguel, 2011. "Building in an Evaluation Component for Active Labor Market Programs: A Practitioner's Guide," IZA Discussion Papers 6085, Institute of Labor Economics (IZA).
    18. David S. Lee, 2002. "Trimming for Bounds on Treatment Effects with Missing Outcomes," NBER Technical Working Papers 0277, National Bureau of Economic Research, Inc.
    19. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    20. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April.
    21. Vira Semenova, 2023. "Adaptive Estimation of Intersection Bounds: a Classification Approach," Papers 2303.00982, arXiv.org.
    22. Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo, 2018. "Distribution regression with sample selection, with an application to wage decompositions in the UK," CeMMAP working papers CWP68/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Gindling,T. H. & Hasnain,Zahid & Newhouse,David Locke & Shi,Rong, 2019. "Are Public Sector Workers in Developing Countries Overpaid ? Evidence from a New Global Data Set," Policy Research Working Paper Series 8754, The World Bank.
    24. Anuneeta Mitra, 2016. "Education and earning linkages of regular and casual workers in India: a quantile regression approach," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 18(1), pages 147-174, October.
    25. Vazquez-Alvarez, R. & Melenberg, B. & van Soest, A.H.O., 1999. "Nonparametric Bounds on the Income Distribution in the Presence of Item Nonresponse," Discussion Paper 1999-33, Tilburg University, Center for Economic Research.
    26. Charles Mullin, 2000. "Bounding Causal Effects with Contaminated and Censored Data: Reassessing the Impact of Early Childbearing on Children," Vanderbilt University Department of Economics Working Papers 0039, Vanderbilt University Department of Economics.
    27. Pigini Claudia, 2015. "Bivariate Non-Normality in the Sample Selection Model," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-22, January.
    28. Geeta G. Kingdon & John B. Knight, 2001. "Unemployment in South Africa: The nature of the beast," CSAE Working Paper Series 2001-15, Centre for the Study of African Economies, University of Oxford.
    29. George Planiteros, 2022. "Reverse matching for ex-ante policy evaluation," DEOS Working Papers 2206, Athens University of Economics and Business.
    30. Halvard Buhaug, 2010. "Dude, Where’s My Conflict?," Conflict Management and Peace Science, Peace Science Society (International), vol. 27(2), pages 107-128, April.
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    191. Steinmayr, Andreas, 2014. "When a random sample is not random: Bounds on the effect of migration on household members left behind," Kiel Working Papers 1975, Kiel Institute for the World Economy (IfW Kiel).
    192. Goldin, Jacob & Reck, Daniel, 2020. "Revealed-preference analysis with framing effects," LSE Research Online Documents on Economics 101443, London School of Economics and Political Science, LSE Library.
    193. Denis Y. Orlov & Evgeniy M. Ozhegov, 2016. "Do sequel movies really earn more than non-sequels? Evidence from the US box office," ACEI Working Paper Series AWP-03-2016, Association for Cultural Economics International, revised Apr 2016.
    194. Canay, Ivan A., 2010. "EL inference for partially identified models: Large deviations optimality and bootstrap validity," Journal of Econometrics, Elsevier, vol. 156(2), pages 408-425, June.
    195. Sokbae Lee & Martin Weidner, 2021. "Bounding Treatment Effects by Pooling Limited Information across Observations," Papers 2111.05243, arXiv.org, revised Dec 2023.
    196. Gelbach, Jonah B., 2015. "Can we learn anything about pleading changes from existing data?," International Review of Law and Economics, Elsevier, vol. 44(C), pages 72-86.
    197. Christoph Feichter & Frank Moers & Oscar Timmermans, 2022. "Relative Performance Evaluation and Competitive Aggressiveness," Journal of Accounting Research, Wiley Blackwell, vol. 60(5), pages 1859-1913, December.
    198. Jeremiah Richey, 2014. "The Effect Of Youth Labor Market Experience On Adult Earnings," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(1), pages 47-61, March.
    199. Martine Mariotti & Juergen Meinecke, 2011. "Bounds on the Return to Education in Australia using Ability Bias," ANU Working Papers in Economics and Econometrics 2011-551, Australian National University, College of Business and Economics, School of Economics.
    200. Francesconi, Marco & Ermisch, John & J. Pevalin, David, 2002. "Childhood parental behaviour and young people’s outcomes," ISER Working Paper Series 2002-12, Institute for Social and Economic Research.
    201. Victor Aguirregabiria, 2005. "Another Look at the Identification of Dynamic Discrete Decision Processes," Econometrics 0504006, University Library of Munich, Germany.
    202. Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo, 2023. "Distribution regression with sample selection and UK wage decomposition," CeMMAP working papers 09/23, Institute for Fiscal Studies.
    203. Adrián Rubli, 2012. "La importancia de corregir por el sesgo de selección en el análisis de las brechas salariales por género: un estudio para Argentina, Brasil y México," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-36, November.
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    207. Charles F. Manski, 2019. "Remarks on statistical inference for statistical decisions," CeMMAP working papers CWP06/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    208. Allen, Roy & Rehbeck, John, 2022. "Latent complementarity in bundles models," Journal of Econometrics, Elsevier, vol. 228(2), pages 322-341.
    209. Charles F. Manski, 2014. "Communicating Uncertainty in Official Economic Statistics," NBER Working Papers 20098, National Bureau of Economic Research, Inc.
    210. Aizawa, T.;, 2019. "Reviewing the Existing Evidence of the Conditional Cash Transfer in India through the Partial Identification Approach," Health, Econometrics and Data Group (HEDG) Working Papers 19/24, HEDG, c/o Department of Economics, University of York.
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  104. Manski, Charles F. & Salomon, Ilan, 1987. "The demand for teleshopping : An application of discrete choice models," Regional Science and Urban Economics, Elsevier, vol. 17(1), pages 109-121, February.

    Cited by:

    1. Matthew Wiswall & Basit Zafar, 2016. "Preference for the Workplace, Human Capital, and Gender," NBER Working Papers 22173, National Bureau of Economic Research, Inc.
    2. Patricia L. Mokhtarian & Wei (Laura) Tang, 2013. "Trivariate probit models of pre-purchase/purchase shopping channel choice: clothing purchases in Northern California," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 12, pages 243-273, Edward Elgar Publishing.
    3. Schmid, Basil & Axhausen, Kay W., 2019. "In-store or online shopping of search and experience goods: A hybrid choice approach," Journal of choice modelling, Elsevier, vol. 31(C), pages 156-180.
    4. Bhat, Chandra R. & Sivakumar, Aruna & Axhausen, Kay W., 2003. "An analysis of the impact of information and communication technologies on non-maintenance shopping activities," Transportation Research Part B: Methodological, Elsevier, vol. 37(10), pages 857-881, December.
    5. Choo, Sangho, 2003. "Aggregate Relationships between Telecommunications and Travel: Structural Equation Modeling of Time Series Data," University of California Transportation Center, Working Papers qt4p78h623, University of California Transportation Center.
    6. Matthew Wiswall & Basit Zafar, 2018. "Preference for the Workplace, Investment in Human Capital, and Gender," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 457-507.
    7. Kim, Jin-Hyuk & Leung, Tin Cheuk, 2021. "Eliminating digital rights management from the E-book market," Information Economics and Policy, Elsevier, vol. 57(C).
    8. Patricia Mokhtarian, 2004. "A conceptual analysis of the transportation impacts of B2C e-commerce," Transportation, Springer, vol. 31(3), pages 257-284, August.
    9. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.

  105. Manski, Charles F, 1987. "Semiparametric Analysis of Random Effects Linear Models from Binary Panel Data," Econometrica, Econometric Society, vol. 55(2), pages 357-362, March.
    See citations under working paper version above.
  106. Manski, Charles F., 1986. "Semiparametric analysis of binary response from response-based samples," Journal of Econometrics, Elsevier, vol. 31(1), pages 31-40, February.

    Cited by:

    1. James J. Heckman & Petra E. Todd, 2009. "A note on adapting propensity score matching and selection models to choice based samples," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 230-234, January.
    2. Igor Fedotenkov, 2013. "Consistency of the estimator of binary response models based on AUC maximization," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(3), pages 381-390, August.
    3. Petra E. Todd & Kenneth I. Wolpin, 2008. "Ex Ante Evaluation of Social Programs," Annals of Economics and Statistics, GENES, issue 91-92, pages 263-291.
    4. Yu Xie & Charles F. Manski, 1989. "The Logit Model and Response-Based Samples," Sociological Methods & Research, , vol. 17(3), pages 283-302, February.
    5. Kyungchul Song, 2009. "Efficient Estimation of Average Treatment Effects under Treatment-Based Sampling," PIER Working Paper Archive 09-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    6. Liguo Zhang & Xuerong Li, 2016. "The Impact of Traditional Culture on Farmers’ Moral Hazard Behavior in Crop Production: Evidence from China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
    7. Barros, Ricardo Paes de, 2010. "The Impact of Social Interventions: Nonparametric Identification from Choice-Based Samples," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.

  107. Manski, Charles F. & Thompson, T. Scott, 1986. "Operational characteristics of maximum score estimation," Journal of Econometrics, Elsevier, vol. 32(1), pages 85-108, June.
    See citations under working paper version above.
  108. Manski, Charles F., 1985. "Semiparametric analysis of discrete response : Asymptotic properties of the maximum score estimator," Journal of Econometrics, Elsevier, vol. 27(3), pages 313-333, March.
    See citations under working paper version above.
  109. Charles F. Manski & Ephraim Goldin, 1983. "An Econometric Analysis of Automobile Scrappage," Transportation Science, INFORMS, vol. 17(4), pages 365-375, November.

    Cited by:

    1. Hsu, Shi-Ling & Sperling, Daniel, 1994. "Uncertain Air Quality Impacts of Automobile Retirement Programs," University of California Transportation Center, Working Papers qt9hk939jn, University of California Transportation Center.
    2. Mauritzen, Johannes, 2011. "The Decision to Scrap a Wind Turbine: Opportunity Cost, Timing and Policy," Discussion Papers 2011/17, Norwegian School of Economics, Department of Business and Management Science.
    3. Shanjun Li & Christopher Timmins & Roger H. von Haefen, 2009. "How Do Gasoline Prices Affect Fleet Fuel Economy?," American Economic Journal: Economic Policy, American Economic Association, vol. 1(2), pages 113-137, August.
    4. Harrington, Winston & McConnell, Virginia & Alberini, Anna, 1998. "Fleet Turnover and Old Car Scrap Policies," RFF Working Paper Series dp-98-23, Resources for the Future.
    5. Mauritzen, Johannes, 2012. "Scrapping a Wind Turbine: Policy Changes, Scrapping Incentives and Why Wind Turbines in Good Locations Get Scrapped First," Working Paper Series 940, Research Institute of Industrial Economics.
    6. David A. Hensher, 1987. "Automobile Loss Rates and the Expected Capital Cost of Vehicles: An Empirical Note," The Economic Record, The Economic Society of Australia, vol. 63(3), pages 247-254, September.

  110. Manski, Charles F, 1983. "Closest Empirical Distribution Estimation," Econometrica, Econometric Society, vol. 51(2), pages 305-319, March.

    Cited by:

    1. Igor Fedotenkov, 2013. "Consistency of the estimator of binary response models based on AUC maximization," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(3), pages 381-390, August.
    2. Chen, Xiaohong & Linton, Oliver & Van Keilegom, Ingrid, 2003. "Estimation of semiparametric models when the criterion function is not smooth," LSE Research Online Documents on Economics 2167, London School of Economics and Political Science, LSE Library.
    3. Yuichi Kitamura, 2006. "Empirical Likelihood Methods in Econometrics: Theory and Practice," CIRJE F-Series CIRJE-F-430, CIRJE, Faculty of Economics, University of Tokyo.
    4. Oliver Linton & Pedro Gozalo, 1996. "Conditional Independence Restrictions: Testing and Estimation," Cowles Foundation Discussion Papers 1140, Cowles Foundation for Research in Economics, Yale University.
    5. Poirier, Alexandre, 2017. "Efficient estimation in models with independence restrictions," Journal of Econometrics, Elsevier, vol. 196(1), pages 1-22.
    6. Torgovitsky, Alexander, 2017. "Minimum distance from independence estimation of nonseparable instrumental variables models," Journal of Econometrics, Elsevier, vol. 199(1), pages 35-48.
    7. Junlong Feng & Sokbae Lee, 2023. "Individual Welfare Analysis: Random Quasilinear Utility, Independence, and Confidence Bounds," Papers 2304.01921, arXiv.org, revised Aug 2023.
    8. Ian Domowitz, 1985. "New Directions in Non-linear Estimation with Dependent Observations," Canadian Journal of Economics, Canadian Economics Association, vol. 18(1), pages 1-27, February.
    9. Ivana Komunjer & Andres Santos, 2010. "Semi-parametric estimation of non-separable models: a minimum distance from independence approach," Econometrics Journal, Royal Economic Society, vol. 13(3), pages 28-55, October.
    10. Kooreman, P. & Melenberg, B., 1989. "Maximum score estimation in the ordered response model," Discussion Paper 1989-48, Tilburg University, Center for Economic Research.
    11. Donald J. Brown & Rosa L. Matzkin, 1998. "Estimation of Nonparametric Functions in Simultaneous Equations Models, with an Application to Consumer Demand," Cowles Foundation Discussion Papers 1175, Cowles Foundation for Research in Economics, Yale University.
    12. Bansal, Ravi & Gallant, A. Ronald & Hussey, Robert & Tauchen, George, 1995. "Nonparametric estimation of structural models for high-frequency currency market data," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 251-287.

  111. Manski, Charles F., 1983. "Analysis of equilibrium automobile holdings in Israel with aggregate discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 17(5), pages 373-389, October.

    Cited by:

    1. Pesendorfer, Martin & Schiraldi, Pasquale & Silva-Junior, Daniel, 2023. "Omitted budget constraint bias in discrete-choice demand models," International Journal of Industrial Organization, Elsevier, vol. 86(C).
    2. Steven Berry & James Levinsohn & Ariel Pakes, 1993. "Automobile Prices in Market Equilibrium: Part I and II," NBER Working Papers 4264, National Bureau of Economic Research, Inc.
    3. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    4. Eskeland, Gunnar S. & Feyzioglu, Tarhan N., 1997. "Is demand for polluting goods manageable? An econometric study of car ownership and use in Mexico," Journal of Development Economics, Elsevier, vol. 53(2), pages 423-445, August.
    5. Hideo Konishi & Michael Sandfort, 2000. "Existence of Stationary Equilibrium in the Markets for New and Used Durable Goods," Boston College Working Papers in Economics 450, Boston College Department of Economics.
    6. Karst Geurs & Henk Meurs, 2011. "The Dutch national road pricing scheme: review of appraisal studies and impacts for the Dutch car market and the environment," ERSA conference papers ersa10p1438, European Regional Science Association.
    7. Pesendorfer, Martin & Schiraldi, Pasquale & Silva-Junior, Daniel, 2023. "Omitted budget constraint bias in discrete-choice demand models," LSE Research Online Documents on Economics 117353, London School of Economics and Political Science, LSE Library.
    8. Taha Rashidi & Abolfazl Mohammadian & Frank Koppelman, 2011. "Modeling interdependencies between vehicle transaction, residential relocation and job change," Transportation, Springer, vol. 38(6), pages 909-932, November.
    9. Frances Ifeoma Ukonze & Maxwell Umunna Nwachukwu & Harold Chike Mba & Donald Chiuba Okeke & Uloma Jiburum, 2020. "Determinants of Vehicle Ownership in Nigeria," SAGE Open, , vol. 10(2), pages 21582440209, May.
    10. Siskos, Pelopidas & Moysoglou, Yannis, 2019. "Assessing the impacts of setting CO2 emission targets on truck manufacturers: A model implementation and application for the EU," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 123-138.

  112. Winship C. Fuller & Charles F. Manski & David A. Wise, 1982. "New Evidence on the Economic Determinants of Postsecondary Schooling Choices," Journal of Human Resources, University of Wisconsin Press, vol. 17(4), pages 477-498.

    Cited by:

    1. Schmidt, Alejandro & Ortúzar, Juan de Dios & Paredes, Ricardo D., 2019. "Heterogeneity and college choice: Latent class modelling for improved policy making," Journal of choice modelling, Elsevier, vol. 33(C).
    2. Carlos Giovanni González Espitia & Jhon James Mora Rodríguez & Andrés Felipe Cuadros Meñaca, 2014. "Oportunidades educativas y características familiares en Colombia: un análisis por cohortes," Revista de Economía del Rosario, Universidad del Rosario, June.
    3. Curs, Bradley & Singell, Larry Jr., 2002. "An analysis of the application and enrollment processes for in-state and out-of-state students at a large public university," Economics of Education Review, Elsevier, vol. 21(2), pages 111-124, April.
    4. Joshua Angrist & Eric Bettinger & Erik Bloom & Elizabeth King & Michael Kremer, 2002. "Vouchers for private schooling in colombia: Evidence from a randomized natural experiment," Natural Field Experiments 00203, The Field Experiments Website.
    5. Sandra E. Black & Amir Sufi, 2002. "Who Goes to College? Differential Enrollment by Race and Family Background," NBER Working Papers 9310, National Bureau of Economic Research, Inc.
    6. Maani, Sholeh A. & Kalb, Guyonne, 2007. "Academic performance, childhood economic resources, and the choice to leave school at age 16," Economics of Education Review, Elsevier, vol. 26(3), pages 361-374, June.
    7. Long Mark C, 2010. "Affirmative Action at Nearby Colleges: Temporal and Regional Changes," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-31, July.
    8. Joshua D. Angrist & Victor Lavy, 2002. "The Effect of High School Matriculation Awards: Evidence from Randomized Trials," NBER Working Papers 9389, National Bureau of Economic Research, Inc.
    9. Hurwitz, Michael & Goodman, Joshua Samuel & Smith, Jonathan & Fox, Julia, 2015. "The relationship between siblings’ college choices: Evidence from one million SAT-taking families," Scholarly Articles 22805380, Harvard University Department of Economics.
    10. Funkhouser, Edward, 1999. "Cyclical economic conditions and school attendance in Costa Rica," Economics of Education Review, Elsevier, vol. 18(1), pages 31-50, February.
    11. Goodman, Joshua & Hurwitz, Michael & Smith, Jonathan & Fox, Julia, 2015. "The relationship between siblings’ college choices: Evidence from one million SAT-taking families," Economics of Education Review, Elsevier, vol. 48(C), pages 75-85.
    12. David Card & Alan B. Krueger, 2005. "Would the Elimination of Affirmative Action Affect Highly Qualified Minority Applicants? Evidence from California and Texas," ILR Review, Cornell University, ILR School, vol. 58(3), pages 416-434, April.
    13. Coenen, Johan & Borghans, Lex & Diris, Ron, 2021. "Personality traits, preferences and educational choices: A focus on STEM," Journal of Economic Psychology, Elsevier, vol. 84(C).
    14. Meyer, Tobias & Thomsen, Stephan L., 2012. "How Important is Secondary School Duration for Post-school Education Decisions? Evidence from a Natural Experiment," Hannover Economic Papers (HEP) dp-509, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    15. Long, M.C.Mark C., 2004. "College applications and the effect of affirmative action," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 319-342.
    16. Carlos Vieira & Isabel Vieira, 2009. "Student based funding in higher education systems with declining and uncertain enrolments: the Portuguese case," CEFAGE-UE Working Papers 2009_02, University of Evora, CEFAGE-UE (Portugal).
    17. Epple, Dennis & Romano, Richard & Sieg, Holger, 2000. "Peer Effects, Financial Aid, and Selection of Students into Colleges and Universities: An Empirical Analysis," Working Papers 00-02, Duke University, Department of Economics.
    18. Flannery, Darragh & O’Donoghue, Cathal, 2013. "The demand for higher education: A static structural approach accounting for individual heterogeneity and nesting patterns," Economics of Education Review, Elsevier, vol. 34(C), pages 243-257.
    19. Soham Sahoo & Stephan Klasen, 2018. "Gender Segregation in Education and Its Implications for Labour Market Outcomes: Evidence from India," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 248, Courant Research Centre PEG.
    20. SELLAMI, Sana & VERHAEST, Dieter & NONNEMAN, Walter & VAN TRIER, Walter, 2015. "Education as investment, consumption or adapting to social norm: Implications for educational mismatch among graduates," Working Papers 2015014, University of Antwerp, Faculty of Business and Economics.
    21. Goodman, Joshua & Hurwitz, Michael & Smith, Jonathan, 2014. "Sibling (Non) Rivalry: The Relationship between Siblings' College Choices," Working Paper Series rwp14-028, Harvard University, John F. Kennedy School of Government.
    22. Silva, Pedro Luís & DesJardins, Stephen L. & Biscaia, Ricardo & Sá, Carla & Teixeira, Pedro N., 2023. "Public and Private School Grade Inflations Patterns in Secondary Education," IZA Discussion Papers 16016, Institute of Labor Economics (IZA).
    23. Toutkoushian, Robert K., 2001. "Do parental income and educational attainment affect the initial choices of New Hampshire's college-bound students?," Economics of Education Review, Elsevier, vol. 20(3), pages 245-262, June.
    24. Michael Rothschild & Lawrence J. White, 1991. "The University in the Marketplace: Some Insights and Some Puzzles," NBER Working Papers 3853, National Bureau of Economic Research, Inc.
    25. David L. Sjoquist & John V. Winters, 2016. "The Effects of State Merit Aid Programs on Attendance at Elite Colleges," Southern Economic Journal, John Wiley & Sons, vol. 83(2), pages 527-549, October.
    26. Goodman, Joshua & Hurwitz, Michael & Smith, Jonathan & Fox, Julia, 2016. "Reprint of “The relationship between siblings’ college choices: Evidence from one million SAT-taking families”," Economics of Education Review, Elsevier, vol. 51(C), pages 125-135.
    27. Farley Ordovensky, J., 1995. "Effects of institutional attributes on enrollment choice: Implications for postsecondary vocational education," Economics of Education Review, Elsevier, vol. 14(4), pages 335-350, December.
    28. Eugenio Bobenrieth & Carlos Cáceres, 1994. "Un Modelo de Selección de Liceos de Enseñanza Media," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 31(92), pages 27-44.
    29. Devin G. Pope & Jaren C. Pope, 2014. "Understanding College Application Decisions," Journal of Sports Economics, , vol. 15(2), pages 107-131, April.
    30. Elizabeth Becker & Cotton M. Lindsay & Gary Grizzle, 2003. "The derived demand for faculty research," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(8), pages 549-567.
    31. Benjamin T. Skinner, 2019. "Choosing College in the 2000s: An Updated Analysis Using the Conditional Logistic Choice Model," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(2), pages 153-183, March.
    32. Flannery, Darragh & O'Donoghue, Cathal, 2009. "The Determinants of Higher Education Participation in Ireland: A Micro Analysis," The Economic and Social Review, Economic and Social Studies, vol. 40(1), pages 73-107.
    33. Macunovich, D.J., 1996. "Cohort Size Effects on US Enrollment Decisions," Williams Project on the Economics of Higher Education DP-36, Department of Economics, Williams College.
    34. Do, Chau, 2004. "The effects of local colleges on the quality of college attended," Economics of Education Review, Elsevier, vol. 23(3), pages 249-257, June.
    35. Thompson, Fred & Zumeta, William, 2001. "Effects of key state policies on private colleges and universities: sustaining private-sector capacity in the face of the higher education access challenge," Economics of Education Review, Elsevier, vol. 20(6), pages 517-531, December.
    36. Vrontis, Demetris & Thrassou, Alkis & Melanthiou, Yioula, 2007. "A contemporary higher education student-choice model for developed countries," Journal of Business Research, Elsevier, vol. 60(9), pages 979-989, September.
    37. Arcidiacono, Peter, 2002. "Ability Sorting and the Returns to College Major," Working Papers 02-26, Duke University, Department of Economics.
    38. Mikołaj Czajkowski & Tomasz Gajderowicz & Marek Giergiczny & Gabriela Grotkowska & Urszula Sztandar-Sztanderska, 2017. "Choosing the future: economic preferences for higher education using discrete choice experiment method," Working Papers 2017-16, Faculty of Economic Sciences, University of Warsaw.
    39. Ronald M. Harstad & Jordan Pandolfo, 2013. "Applied Signaling: Graduate School Admissions and Frequency of STEM Majors," Working Papers 1305, Department of Economics, University of Missouri.
    40. Devin G. Pope & Jaren C. Pope, 2009. "The Impact of College Sports Success on the Quantity and Quality of Student Applications," Southern Economic Journal, John Wiley & Sons, vol. 75(3), pages 750-780, January.
    41. Bauer, Philipp C. & Riphahn, Regina T., 2005. "Heterogenity in the Intergenerational Transmission of Educational Attainment: Evidence from Switzerland on Natives and Second," University of Göttingen Working Papers in Economics 38, University of Goettingen, Department of Economics.
    42. Philipp Bauer & Regina Riphahn, 2007. "Heterogeneity in the intergenerational transmission of educational attainment: evidence from Switzerland on natives and second-generation immigrants," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(1), pages 121-148, February.
    43. Rajindar Koshal & Manjulika Koshal, 1999. "Demand and Supply of Educational Serice: a case of liberal arts colleges," Education Economics, Taylor & Francis Journals, vol. 7(2), pages 121-130.
    44. Hagy, Alison P. & Staniec, J. Farley Ordovensky, 2002. "Immigrant status, race, and institutional choice in higher education," Economics of Education Review, Elsevier, vol. 21(4), pages 381-392, August.
    45. Partenie Cristina-Veronica, 2019. "From Intent to Action – A Study Regarding High School Students’ Motivation in Choosing a University," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 29(2), pages 17-32, June.
    46. Light, Audrey, 1995. "Hazard model estimates of the decision to reenroll in school," Labour Economics, Elsevier, vol. 2(4), pages 381-406, December.
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Software components

    Sorry, no citations of software components recorded.

Chapters

  1. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Chapters, in: NBER Macroeconomics Annual 2017, volume 32, pages 411-471, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  2. Charles F. Manski, 1993. "Adolescent Econometricians: How Do Youth Infer the Returns to Schooling?," NBER Chapters, in: Studies of Supply and Demand in Higher Education, pages 43-60, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  3. Charles F. Manski, 1987. "Academic Ability, Earnings, and the Decision to Become a Teacher: Evidence from the National Longitudinal Study of the High School Class of 1972," NBER Chapters, in: Public Sector Payrolls, pages 291-316, National Bureau of Economic Research, Inc. See citations under working paper version above.
  4. Meir G. Kohn & Charles F. Manski & David S. Mundel, 1976. "An Empirical Investigation of Factors Which Influence College-Going Behavior," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 391-419, National Bureau of Economic Research, Inc.

    Cited by:

    1. Schmidt, Alejandro & Ortúzar, Juan de Dios & Paredes, Ricardo D., 2019. "Heterogeneity and college choice: Latent class modelling for improved policy making," Journal of choice modelling, Elsevier, vol. 33(C).
    2. Christopher Jepsen & Mark Montgomery, 2009. "Miles to go before I learn: The effect of travel distance on the mature person's choice of a community college," Open Access publications 10197/4443, School of Economics, University College Dublin.
    3. David L. Sjoquist & John V. Winters, 2016. "The Effects of State Merit Aid Programs on Attendance at Elite Colleges," Southern Economic Journal, John Wiley & Sons, vol. 83(2), pages 527-549, October.
    4. Reinhard A. Weisser, 2020. "How Personality Shapes Study Location Choices," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(1), pages 88-116, February.
    5. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.

Books

  1. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.

    Cited by:

    1. Hao Bo & Sebastian Galiani, 2019. "Assessing External Validity," NBER Working Papers 26422, National Bureau of Economic Research, Inc.
    2. Naruhisa Nakane & Ichiro Wada, 2022. "Estimating the Social Costs of Child Abuse in Residential Care for Children with Disabilities Using the Japanese Survey on the Interactions of Adverse and Positive Childhood Experiences toward Adultho," IJERPH, MDPI, vol. 19(24), pages 1-9, December.
    3. Ottaviani, Marco & Di Tillio, Alfredo & Sørensen, Peter Norman, 2016. "Persuasion Bias in Science: Can Economics Help?," CEPR Discussion Papers 11343, C.E.P.R. Discussion Papers.
    4. Koppelaar, Rembrandt H.E.M. & Keirstead, James & Shah, Nilay & Woods, Jeremy, 2016. "A review of policy analysis purpose and capabilities of electricity system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1531-1544.
    5. Dionissi Aliprantis, 2012. "Assessing the evidence on neighborhood effects from Moving to Opportunity," Working Papers (Old Series) 1122R, Federal Reserve Bank of Cleveland.
    6. T. N. Srinivasan, 2014. "Development Process: A Manual or a Collection of Anecdotes?," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 15(4), pages 418-423, November.
    7. Eric Danan & Thibault Gajdos & Brian Hill & Jean-Marc Tallon, 2014. "Aggregating Tastes, Beliefs, and Attitudes under Uncertainty," Post-Print halshs-01099032, HAL.
    8. Martin Halla & Wolfgang Frimmel & Rudolf Winter-Ebmer, 2016. "How Does Parental Divorce Affect Children's Long-term Outcomes?," CDL Aging, Health, Labor working papers 2016-03, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
    9. Charles F. Manski, 2017. "Improving Clinical Guidelines and Decisions under Uncertainty," NBER Working Papers 23915, National Bureau of Economic Research, Inc.
    10. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    11. Thiene, Mara & Swait, Joffre & Scarpa, Riccardo, 2017. "Choice set formation for outdoor destinations: The role of motivations and preference discrimination in site selection for the management of public expenditures on protected areas," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 152-173.
    12. Charles F. Manski & John V. Pepper, 2015. "How Do Right-To-Carry Laws Affect Crime Rates? Coping With Ambiguity Using Bounded-Variation Assumptions," NBER Working Papers 21701, National Bureau of Economic Research, Inc.
    13. Anthony Perl & Michael Howlett & M. Ramesh, 2018. "Policy-making and truthiness: Can existing policy models cope with politicized evidence and willful ignorance in a “post-fact” world?," Policy Sciences, Springer;Society of Policy Sciences, vol. 51(4), pages 581-600, December.
    14. Xeni Dassiou & Peter Langham & Charles Nancarrow & Alex Scharaschkin & Dan Ward, 2015. "Public service markets: their economics, institutional oversight and regulation," Palgrave Communications, Palgrave Macmillan, vol. 1(palcomms2), pages 15035-15035, November.
    15. Mechoulan, Stéphane, 2020. "Civil unrest, emergency powers, and spillover effects: A mixed methods analysis of the 2005 French riots," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 305-326.
    16. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    17. John Rust, 2014. "The Limits of Inference with Theory: A Review of Wolpin (2013)," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 820-850, September.
    18. Manski, Charles F., 2016. "Credible interval estimates for official statistics with survey nonresponse," Journal of Econometrics, Elsevier, vol. 191(2), pages 293-301.
    19. Muller, Seán M., 2021. "The dangers of performative scientism as the alternative to anti-scientific policymaking: A critical, preliminary assessment of South Africa’s Covid-19 response and its consequences," World Development, Elsevier, vol. 140(C).
    20. Xiaoyu Cheng, 2022. "Robust Data-Driven Decisions Under Model Uncertainty," Papers 2205.04573, arXiv.org.
    21. Guido W. Imbens, 2021. "Statistical Significance, p-Values, and the Reporting of Uncertainty," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 157-174, Summer.
    22. Brian Hill, 2022. "Updating confidence in beliefs," Post-Print hal-03503986, HAL.
    23. Manganelli, Simone, 2016. "Deciding with judgment," Working Paper Series 1947, European Central Bank.
    24. Benno Torgler, 2021. "The Power of Public Choice in Law and Economics," CREMA Working Paper Series 2021-04, Center for Research in Economics, Management and the Arts (CREMA).
    25. Millimet, Daniel L. & Roy, Jayjit, 2015. "Multilateral environmental agreements and the WTO," Economics Letters, Elsevier, vol. 134(C), pages 20-23.
    26. Luc Behaghel & Karen Macours & Julie Subervie, 2018. "Can RCTs help improve the design of CAP," Post-Print hal-02112625, HAL.
    27. Hill, Brian, 2022. "Updating confidence in beliefs," Journal of Economic Theory, Elsevier, vol. 199(C).
    28. Laurens Cherchye & Bram De Rock & Frederic Vermeulen, 2023. "Nonparametric Models in Consumer Behaviour," Working Papers ECARES 2023-04, ULB -- Universite Libre de Bruxelles.
    29. Huhr, Scott & Wulczyn, Fred, 2022. "Do intensive in-home services prevent placement?: A case study of Youth Villages’ Intercept® program," Children and Youth Services Review, Elsevier, vol. 132(C).
    30. Luc Behaghel & Karen Macours & Julie Subervie, 2019. "How can randomised controlled trials help improve the design of the common agricultural policy?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(3), pages 473-493.
    31. Fischer, Robert L. & Richter, Francisca García-Cobián, 2017. "SROI in the pay for success context: Are they at odds?," Evaluation and Program Planning, Elsevier, vol. 64(C), pages 105-109.
    32. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2022. "Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs," NBER Working Papers 30469, National Bureau of Economic Research, Inc.
    33. Paulina Calfucoy, 2016. "Building Institutional Capacities for Climate Change Policies: The Case of MAPS Chile," Development, Palgrave Macmillan;Society for International Deveopment, vol. 59(3), pages 335-341, December.
    34. Martin, Ian & Pindyck, R. S., 2015. "Averting catastrophes: the strange economics of Scylla and Charybdis," LSE Research Online Documents on Economics 62139, London School of Economics and Political Science, LSE Library.
    35. Abadie, Alberto & Athey, Susan & Imbens, Guido W. & Wooldridge, Jeffrey M., 2017. "Sampling-Based vs. Design-Based Uncertainty in Regression Analysis," Research Papers 3349, Stanford University, Graduate School of Business.
    36. Angus Deaton & Nancy Cartwright, 2016. "Understanding and Misunderstanding Randomized Controlled Trials," Working Papers august_25.pdf, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    37. de la Guardia, Fernando Hoces & Grant, Sean & Miguel, Edward, 2021. "A framework for open policy analysis," Department of Economics, Working Paper Series qt05r470xk, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    38. Philipp Eisenhauer & Lena Janys & Christopher Walsh & Janós Gabler, 2023. "Structural Models for Policy-Making," CRC TR 224 Discussion Paper Series crctr224_2023_484, University of Bonn and University of Mannheim, Germany.
    39. ILes, Richard, 2017. "Government Doctor Absenteeism And Its Effects On Consumer Demand In Rural North India," Working Papers 2018-9, School of Economic Sciences, Washington State University, revised 12 2018.
    40. Manganelli, Simone, 2021. "Statistical decision functions with judgment," Working Paper Series 2512, European Central Bank.
    41. Eble,Alex & Boone,Peter & Elbourne,Diana, 2016. "On minimizing the risk of bias in randomized controlled trials in economics," Policy Research Working Paper Series 7746, The World Bank.
    42. Casey Helgeson & Richard Bradley & Brian Hill, 2018. "Combining probability with qualitative degree-of-certainty metrics in assessment," Climatic Change, Springer, vol. 149(3), pages 517-525, August.
    43. Susan Athey & Raj Chetty & Guido Imbens, 2020. "Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes," Papers 2006.09676, arXiv.org.
    44. Kaushik Basu, 2014. "Randomisation, Causality and the Role of Reasoned Intuition," Oxford Development Studies, Taylor & Francis Journals, vol. 42(4), pages 455-472, December.
    45. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    46. Schmidt Christoph M., 2014. "Wirkungstreffer erzielen – Die Rolle der evidenzbasierten Politikberatung in einer aufgeklärten Gesellschaft," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 15(3), pages 219-233, October.
    47. Richard A. Iles, 2019. "Government doctor absenteeism and its effects on consumer demand in rural north India," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 475-491, April.
    48. Pearl Judea, 2015. "Generalizing Experimental Findings," Journal of Causal Inference, De Gruyter, vol. 3(2), pages 259-266, September.
    49. Muller, Sean, 2014. "Randomised trials for policy: a review of the external validity of treatment effects," SALDRU Working Papers 127, Southern Africa Labour and Development Research Unit, University of Cape Town.
    50. Binswanger, Johannes & Oechslin, Manuel, 2020. "Better statistics, better economic policies?," European Economic Review, Elsevier, vol. 130(C).
    51. Soufian, Mona & Forbes, William & Hudson, Robert, 2014. "Adapting financial rationality: Is a new paradigm emerging?," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(8), pages 724-742.
    52. Charles F. Manski, 2020. "Towards Reasonable Patient Care Under Uncertainty," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 227-245, April.
    53. Ashesh Rambachan & Jonathan Roth, 2023. "A More Credible Approach to Parallel Trends," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2555-2591.
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