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Azeem M. Shaikh

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.

Working papers

  1. Sergei Bazylik & Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2024. "Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties," Papers 2402.00192, arXiv.org.

    Cited by:

    1. Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 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 53-60, January.

  2. Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2023. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers 03/23, Institute for Fiscal Studies.

    Cited by:

    1. Jiaying Gu & Roger Koenker, 2021. "Ranking and Selection from Pairwise Comparisons: Empirical Bayes Methods for Citation Analysis," Papers 2112.11064, arXiv.org.
    2. Will Davis & Alexander Gordan & Rusty Tchernis, 2021. "Measuring the spatial distribution of health rankings in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2921-2936, November.
    3. Jiaying Gu & Roger Koenker, 2023. "Reply to: Comments on “Invidious Comparisons: Ranking and Selection as Compound Decisions”," Econometrica, Econometric Society, vol. 91(1), pages 61-66, January.
    4. Dionissi Aliprantis & Hal Martin & Kristen Tauber, 2020. "What Determines the Success of Housing Mobility Programs?," Working Papers 20-36R, Federal Reserve Bank of Cleveland, revised 19 Oct 2022.
    5. Sergei Bazylik & Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2024. "Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties," Papers 2402.00192, arXiv.org.
    6. Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018. "Inference on winners," CeMMAP working papers CWP31/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Jiaying Gu & Roger Koenker, 2023. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Econometrica, Econometric Society, vol. 91(1), pages 1-41, January.
    8. Andros Kourtellos & Chih Ming Tan & Steven N. Durlauf, 2022. "The Great Gatsby Curve," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 571-605, August.
    9. Heckman, James & Landersø, Rasmus, 2022. "Lessons for Americans from Denmark about inequality and social mobility," Labour Economics, Elsevier, vol. 77(C).
    10. Johannes Koenig & David I. Stern & Richard S.J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," Working Paper Series 0122, Department of Economics, University of Sussex Business School.
    11. Dingel, Jonathan & Tintelnot, Felix, 2020. "Spatial Economics for Granular Settings," CEPR Discussion Papers 14819, C.E.P.R. Discussion Papers.
    12. Deutscher, Nathan & Mazumder, Bhashkar, 2020. "Intergenerational mobility across Australia and the stability of regional estimates," Labour Economics, Elsevier, vol. 66(C).
    13. Dionissi Aliprantis & Hal Martin, 2020. "Neighborhood Sorting Obscures Neighborhood Effects in the Opportunity Atlas," Working Papers 20-37, Federal Reserve Bank of Cleveland.
    14. Dillon Bowen, 2022. "Bayesian ranking and selection with applications to field studies, economic mobility, and forecasting," Papers 2208.02038, arXiv.org.
    15. James J. Heckman & Rasmus Landersø, 2021. "Lessons from Denmark about Inequality and Social Mobility," NBER Working Papers 28543, National Bureau of Economic Research, Inc.
    16. Alberto Alesina & Sebastian Hohmann & Stelios Michalopoulos & Elias Papaioannou, 2019. "Intergenerational Mobility in Africa," NBER Working Papers 25534, National Bureau of Economic Research, Inc.
    17. Jiaying Gu & Roger Koenker, 2020. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Papers 2012.12550, arXiv.org, revised Sep 2021.
    18. 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.
    19. David M. Kaplan, 2020. "Inference on Consensus Ranking of Distributions," Working Papers 2010, Department of Economics, University of Missouri.
    20. Nybom, Martin & Stuhler, Jan, 2021. "Intergenerational mobility in a recession: Evidence from Sweden," Working Paper Series 2021:11, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    21. Cody Cook & Pearl Z. Li & Ariel J. Binder, 2023. "Where to Build Affordable Housing? Evaluating the Tradeoffs of Location," Working Papers 23-62, Center for Economic Studies, U.S. Census Bureau.
    22. Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 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 53-60, January.
    23. Dillon Bowen, 2022. "Simple models predict behavior at least as well as behavioral scientists," Papers 2208.01167, arXiv.org.
    24. Fabian Eckert & Tatjana Kleineberg, 2021. "Saving the American Dream? Education Policies in Spatial General Equilibrium," Opportunity and Inclusive Growth Institute Working Papers 47, Federal Reserve Bank of Minneapolis.
    25. Hartley, Robert Paul & Lamarche, Carlos & Ziliak, James P., 2023. "Bootstrapping quantile correlations with an application for income status across generations," Economics Letters, Elsevier, vol. 228(C).

  3. Yuehao Bai & Hongchang Guo & Azeem M. Shaikh & Max Tabord-Meehan, 2023. "Inference in Experiments with Matched Pairs and Imperfect Compliance," Papers 2307.13094, arXiv.org.

    Cited by:

    1. Yuehao Bai & Jizhou Liu & Azeem M. Shaikh & Max Tabord-Meehan, 2023. "On the Efficiency of Finely Stratified Experiments," Papers 2307.15181, arXiv.org, revised Feb 2024.

  4. Yuehao Bai & Jizhou Liu & Azeem M. Shaikh & Max Tabord-Meehan, 2023. "On the Efficiency of Finely Stratified Experiments," Papers 2307.15181, arXiv.org, revised Feb 2024.

    Cited by:

    1. Yuehao Bai & Hongchang Guo & Azeem M. Shaikh & Max Tabord-Meehan, 2023. "Inference in Experiments with Matched Pairs and Imperfect Compliance," Papers 2307.13094, arXiv.org.

  5. Yuehao Bai & Liang Jiang & Joseph P. Romano & Azeem M. Shaikh & Yichong Zhang, 2023. "Covariate Adjustment in Experiments with Matched Pairs," Papers 2302.04380, arXiv.org, revised Oct 2023.

    Cited by:

    1. Liang Jiang & Liyao Li & Ke Miao & Yichong Zhang, 2023. "Adjustment with Many Regressors Under Covariate-Adaptive Randomizations," Papers 2304.08184, arXiv.org, revised Feb 2024.
    2. Yuehao Bai & Hongchang Guo & Azeem M. Shaikh & Max Tabord-Meehan, 2023. "Inference in Experiments with Matched Pairs and Imperfect Compliance," Papers 2307.13094, arXiv.org.

  6. John List & Azeem Shaikh & Atom Vayalinkal, 2023. "Multiple Testing with Covariate Adjustment in Experimental Economics," Natural Field Experiments 00732, The Field Experiments Website.

    Cited by:

    1. Chowdhury, Shyamal & Hasan, Syed & Sharma, Uttam, 2024. "The Role of Trainee Selection in the Effectiveness of Vocational Training: Evidence from a Randomized Controlled Trial in Nepal," IZA Discussion Papers 16705, Institute of Labor Economics (IZA).

  7. Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2022. "Statistical Uncertainty in the Ranking of Journals and Universities," NBER Working Papers 29768, National Bureau of Economic Research, Inc.

    Cited by:

    1. Johannes Koenig & David I. Stern & Richard S.J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," Working Paper Series 0122, Department of Economics, University of Sussex Business School.

  8. Federico Bugni & Ivan Canay & Azeem Shaikh & Max Tabord-Meehan, 2022. "Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes," Papers 2204.08356, arXiv.org, revised Apr 2024.

    Cited by:

    1. Jizhou Liu, 2023. "Inference for Two-stage Experiments under Covariate-Adaptive Randomization," Papers 2301.09016, arXiv.org, revised Oct 2023.

  9. Yong Cai & Ivan A. Canay & Deborah Kim & Azeem M. Shaikh, 2021. "On the implementation of Approximate Randomization Tests in Linear Models with a Small Number of Clusters," Papers 2102.09058, arXiv.org, revised Mar 2022.

    Cited by:

    1. Yong Cai, 2021. "Panel Data with Unknown Clusters," Papers 2106.05503, arXiv.org, revised Jan 2022.
    2. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
    3. Michael P. Leung, 2021. "Network Cluster-Robust Inference," Papers 2103.01470, arXiv.org, revised Feb 2023.
    4. Heckman, James J. & Pinto, Rodrigo & Shaikh, Azeem M., 2023. "Dealing With Imperfect Randomization: Inference for the Highscope Perry Preschool Program," IZA Discussion Papers 16675, Institute of Labor Economics (IZA).

  10. 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.

    Cited by:

    1. Vira Semenova, 2023. "Adaptive Estimation of Intersection Bounds: a Classification Approach," Papers 2303.00982, arXiv.org.
    2. Harold D. Chiang & Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Linear programming approach to nonparametric inference under shape restrictions: with an application to regression kink designs," Papers 2102.06586, arXiv.org.
    3. Allen, Roy & Rehbeck, John, 2022. "Latent complementarity in bundles models," Journal of Econometrics, Elsevier, vol. 228(2), pages 322-341.
    4. Wenlong Ji & Lihua Lei & Asher Spector, 2023. "Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects," Papers 2310.08115, arXiv.org.

  11. Azeem M. Shaikh, 2019. "Inference in Experiments with Matched Pairs," CeMMAP working papers CWP19/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Cl'ement de Chaisemartin & Jaime Ramirez-Cuellar, 2019. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," Papers 1906.00288, arXiv.org, revised Jun 2023.
    2. Yuehao Bai & Jizhou Liu & Azeem M. Shaikh & Max Tabord-Meehan, 2023. "On the Efficiency of Finely Stratified Experiments," Papers 2307.15181, arXiv.org, revised Feb 2024.
    3. Yuehao Bai & Hongchang Guo & Azeem M. Shaikh & Max Tabord-Meehan, 2023. "Inference in Experiments with Matched Pairs and Imperfect Compliance," Papers 2307.13094, arXiv.org.
    4. Yujia Gu & Hanzhong Liu & Wei Ma, 2023. "Regression‐based multiple treatment effect estimation under covariate‐adaptive randomization," Biometrics, The International Biometric Society, vol. 79(4), pages 2869-2880, December.
    5. Yuehao Bai & Meng Hsuan Hsieh & Jizhou Liu & Max Tabord‐Meehan, 2024. "Revisiting the analysis of matched‐pair and stratified experiments in the presence of attrition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 256-268, March.

  12. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2018. "Inference under Covariate-Adaptive Randomization with Multiple Treatments," Papers 1806.04206, arXiv.org, revised Jan 2019.

    Cited by:

    1. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2021. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," Papers 2112.03096, arXiv.org, revised Jan 2023.
    2. Heß, Simon & Jaimovich, Dany & Schündeln, Matthias, 2021. "Environmental effects of development programs: Experimental evidence from West African dryland forests," Journal of Development Economics, Elsevier, vol. 153(C).
    3. Jiang, Liang & Phillips, Peter C.B. & Tao, Yubo & Zhang, Yichong, 2023. "Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations," Journal of Econometrics, Elsevier, vol. 234(2), pages 758-776.
    4. Yuehao Bai & Jizhou Liu & Azeem M. Shaikh & Max Tabord-Meehan, 2023. "On the Efficiency of Finely Stratified Experiments," Papers 2307.15181, arXiv.org, revised Feb 2024.
    5. Guillermo Cruces & Dario Tortarolo & Gonzalo Vazquez-Bare, 2022. "Design of two-stage experiments with an application to spillovers in tax compliance," IFS Working Papers W22/32, Institute for Fiscal Studies.
    6. Liang Jiang & Liyao Li & Ke Miao & Yichong Zhang, 2023. "Adjustment with Many Regressors Under Covariate-Adaptive Randomizations," Papers 2304.08184, arXiv.org, revised Feb 2024.
    7. Liang Jiang & Xiaobin Liu & Peter C.B. Phillips & Yichong Zhang, 2020. "Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs," Cowles Foundation Discussion Papers 2249, Cowles Foundation for Research in Economics, Yale University.
    8. Yuehao Bai & Joseph P. Romano & Azeem M. Shaikh, 2022. "Inference in Experiments With Matched Pairs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(540), pages 1726-1737, October.
    9. Zhao, Anqi & Ding, Peng, 2021. "Covariate-adjusted Fisher randomization tests for the average treatment effect," Journal of Econometrics, Elsevier, vol. 225(2), pages 278-294.
    10. Haoge Chang, 2023. "Design-based Estimation Theory for Complex Experiments," Papers 2311.06891, arXiv.org.
    11. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    12. Oliver Browne & Ludovica Gazze & Michael Greenstone & Olga Rostapshova, 2023. "Man vs. Machine: Technological Promise and Political Limits of Automated Regulation Enforcement," NBER Working Papers 30816, National Bureau of Economic Research, Inc.
    13. Young, Alwyn, 2024. "Asymptotically robust permutation-based randomization confidence intervals for parametric OLS regression," LSE Research Online Documents on Economics 120933, London School of Economics and Political Science, LSE Library.
    14. Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2019. "Optimal Experimental Design for Staggered Rollouts," Papers 1911.03764, arXiv.org, revised Sep 2023.
    15. Yichong Zhang & Xin Zheng, 2020. "Quantile treatment effects and bootstrap inference under covariate‐adaptive randomization," Quantitative Economics, Econometric Society, vol. 11(3), pages 957-982, July.
    16. Maximiliano Lauletta & Martín Rossi & Christian Ruzzier, 2021. "Playing Whac-A-Mole in the Fight against Corruption: Evidence from Random Audits in Brazil," Working Papers 157, Universidad de San Andres, Departamento de Economia, revised Sep 2021.
    17. Liang Jiang & Oliver B. Linton & Haihan Tang & Yichong Zhang, 2022. "Improving Estimation Efficiency via Regression-Adjustment in Covariate-Adaptive Randomizations with Imperfect Compliance," Papers 2201.13004, arXiv.org, revised Jun 2023.
    18. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    19. Yuehao Bai & Jizhou Liu & Max Tabord-Meehan, 2022. "Inference for Matched Tuples and Fully Blocked Factorial Designs," Papers 2206.04157, arXiv.org, revised Nov 2023.
    20. Federico A. Bugni & Ivan A. Canay & Steve McBride, 2023. "Decomposition and Interpretation of Treatment Effects in Settings with Delayed Outcomes," Papers 2302.11505, arXiv.org, revised Oct 2023.
    21. Bugni, Federico A. & Gao, Mengsi, 2023. "Inference under covariate-adaptive randomization with imperfect compliance," Journal of Econometrics, Elsevier, vol. 237(1).
    22. Yujia Gu & Hanzhong Liu & Wei Ma, 2023. "Regression‐based multiple treatment effect estimation under covariate‐adaptive randomization," Biometrics, The International Biometric Society, vol. 79(4), pages 2869-2880, December.
    23. Young, Alwyn, 2019. "Channeling Fisher: randomization tests and the statistical insignificance of seemingly significant experimental results," LSE Research Online Documents on Economics 101401, London School of Economics and Political Science, LSE Library.
    24. Yuehao Bai, 2022. "Optimality of Matched-Pair Designs in Randomized Controlled Trials," Papers 2206.07845, arXiv.org.

  13. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018. "The wild bootstrap with a "small" number of "large" clusters," CeMMAP working papers CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Yong Cai, 2021. "A Modified Randomization Test for the Level of Clustering," Papers 2105.01008, arXiv.org, revised Jan 2022.
    2. Laurent Davezies & Xavier D'Haultfoeuille & Yannick Guyonvarch, 2018. "Asymptotic results under multiway clustering," Papers 1807.07925, arXiv.org, revised Aug 2018.
    3. Ampofo, Akwasi & Cheng, Terence C. & Doko Tchatoka, Firmin, 2022. "Oil extraction and spillover effects into local labour market: Evidence from Ghana," Energy Economics, Elsevier, vol. 106(C).
    4. Hwang, Jungbin, 2021. "Simple and trustworthy cluster-robust GMM inference," Journal of Econometrics, Elsevier, vol. 222(2), pages 993-1023.
    5. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    6. Yong Cai, 2021. "Some Finite Sample Properties of the Sign Test," Papers 2103.01412, arXiv.org, revised Feb 2024.

  14. Ufuk Akcigit & Fernando Alvarez & Stephane Bonhomme & George M Constantinides & Douglas W Diamond & Eugene F Fama & David W Galenson & Michael Greenstone & Lars Peter Hansen & Uhlig Harald & James J H, 2017. "The Past, Present, and Future of Economics: A Celebration of the 125-Year Anniversary of the JPE and of Chicago Economics," Natural Field Experiments 00635, The Field Experiments Website.

    Cited by:

    1. Max Nathan & Anna Rosso, 2019. "Innovative events," CEP Discussion Papers dp1607, Centre for Economic Performance, LSE.
    2. Seung Kyum Kim & Paul Joosse & Mia M. Bennett & Terry Gevelt, 2020. "Impacts of green infrastructure on flood risk perceptions in Hong Kong," Climatic Change, Springer, vol. 162(4), pages 2277-2299, October.
    3. John List, 2021. "2021 Summary Data of Artefactual Field Experiments Published on Fieldexperiments.com," Artefactual Field Experiments 00749, The Field Experiments Website.

  15. Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers 05/16, Institute for Fiscal Studies.

    Cited by:

    1. Matthew Masten & Alexandre Poirier, 2017. "Inference on breakdown frontiers," CeMMAP working papers 20/17, Institute for Fiscal Studies.
    2. Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 64/15, Institute for Fiscal Studies.
    3. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    4. Matthew Masten & Alexandre Poirier, 2016. "Partial independence in nonseparable models," CeMMAP working papers 26/16, Institute for Fiscal Studies.
    5. Peter Z. Schochet, 2020. "The Complier Average Causal Effect Parameter for Multiarmed RCTs," Evaluation Review, , vol. 44(5-6), pages 410-436, October.
    6. Oliver R. Cutbill & Rami V. Tabri, 2022. "The Impossibility of Testing for Dependence Using Kendall’s Ƭ Under Missing Data of Unknown Form," Working Papers 2022-03, University of Sydney, School of Economics.
    7. Dzemski, Andreas & Okui, Ryo, 2018. "Confidence Set for Group Membership," Working Papers in Economics 727, University of Gothenburg, Department of Economics.
    8. Battey, Heather & Feng, Qiang & Smith, Richard J., 2016. "Improving confidence set estimation when parameters are weakly identified," Statistics & Probability Letters, Elsevier, vol. 118(C), pages 117-123.
    9. Matthew A. Masten & Alexandre Poirier, 2017. "Identification of Treatment Effects under Conditional Partial Independence," Papers 1707.09563, arXiv.org.
    10. 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.
    11. Andreas Dzemski & Ryo Okui, 2017. "Confidence set for group membership," Papers 1801.00332, arXiv.org, revised Nov 2023.

  16. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2016. "Inference under Covariate-Adaptive Randomization," CeMMAP working papers 21/16, Institute for Fiscal Studies.

    Cited by:

    1. Ivan A. Canay & Vishal Kamat, 2017. "Approximate permutation tests and induced order statistics in the regression discontinuity design," CeMMAP working papers CWP21/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Tymon S{l}oczy'nski, 2018. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," Papers 1810.01576, arXiv.org, revised May 2020.
    3. Jiang, Liang & Phillips, Peter C.B. & Tao, Yubo & Zhang, Yichong, 2023. "Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations," Journal of Econometrics, Elsevier, vol. 234(2), pages 758-776.
    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. Max Tabord-Meehan, 2018. "Stratification Trees for Adaptive Randomization in Randomized Controlled Trials," Papers 1806.05127, arXiv.org, revised Jul 2022.
    6. Liang Jiang & Liyao Li & Ke Miao & Yichong Zhang, 2023. "Adjustment with Many Regressors Under Covariate-Adaptive Randomizations," Papers 2304.08184, arXiv.org, revised Feb 2024.
    7. Liang Jiang & Xiaobin Liu & Peter C.B. Phillips & Yichong Zhang, 2020. "Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs," Cowles Foundation Discussion Papers 2249, Cowles Foundation for Research in Economics, Yale University.
    8. Yuehao Bai & Joseph P. Romano & Azeem M. Shaikh, 2022. "Inference in Experiments With Matched Pairs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(540), pages 1726-1737, October.
    9. Simon Heß, 2017. "Randomization inference with Stata: A guide and software," Stata Journal, StataCorp LP, vol. 17(3), pages 630-651, September.
    10. Edward N. Okeke, 2021. "Money and my mind: Maternal cash transfers and mental health," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2879-2904, November.
    11. Zhao, Anqi & Ding, Peng, 2021. "Covariate-adjusted Fisher randomization tests for the average treatment effect," Journal of Econometrics, Elsevier, vol. 225(2), pages 278-294.
    12. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2018. "Inference under Covariate-Adaptive Randomization with Multiple Treatments," Papers 1806.04206, arXiv.org, revised Jan 2019.
    13. Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017. "A Theory of Experimenters," NBER Working Papers 23867, National Bureau of Economic Research, Inc.
    14. Tymon Sloczynski, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," Working Papers 125, Brandeis University, Department of Economics and International Business School.
    15. Yang, Haoyu & Qin, Yichen & Wang, Fan & Li, Yang & Hu, Feifang, 2023. "Balancing covariates in multi-arm trials via adaptive randomization," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    16. Haoge Chang, 2023. "Design-based Estimation Theory for Complex Experiments," Papers 2311.06891, arXiv.org.
    17. Tong Wang & Wei Ma, 2021. "The impact of misclassification on covariate‐adaptive randomized clinical trials," Biometrics, The International Biometric Society, vol. 77(2), pages 451-464, June.
    18. Young, Alwyn, 2024. "Asymptotically robust permutation-based randomization confidence intervals for parametric OLS regression," LSE Research Online Documents on Economics 120933, London School of Economics and Political Science, LSE Library.
    19. Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2019. "Optimal Experimental Design for Staggered Rollouts," Papers 1911.03764, arXiv.org, revised Sep 2023.
    20. Max Cytrynbaum, 2023. "Covariate Adjustment in Stratified Experiments," Papers 2302.03687, arXiv.org, revised Sep 2023.
    21. Yichong Zhang & Xin Zheng, 2020. "Quantile treatment effects and bootstrap inference under covariate‐adaptive randomization," Quantitative Economics, Econometric Society, vol. 11(3), pages 957-982, July.
    22. Heckman, James J. & Pinto, Rodrigo & Shaikh, Azeem M., 2023. "Dealing With Imperfect Randomization: Inference for the Highscope Perry Preschool Program," IZA Discussion Papers 16675, Institute of Labor Economics (IZA).
    23. Liang Jiang & Oliver B. Linton & Haihan Tang & Yichong Zhang, 2022. "Improving Estimation Efficiency via Regression-Adjustment in Covariate-Adaptive Randomizations with Imperfect Compliance," Papers 2201.13004, arXiv.org, revised Jun 2023.
    24. Federico A. Bugni & Mengsi Gao, 2021. "Inference under Covariate-Adaptive Randomization with Imperfect Compliance," Papers 2102.03937, arXiv.org, revised Jul 2023.
    25. Okeke, Edward N. & Abubakar, Isa S., 2020. "Healthcare at the beginning of life and child survival: Evidence from a cash transfer experiment in Nigeria," Journal of Development Economics, Elsevier, vol. 143(C).
    26. John List & Azeem Shaikh & Yang Xu, 2016. "Multiple Hypothesis Testing in Experimental Economics," Artefactual Field Experiments 00402, The Field Experiments Website.
    27. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    28. Yuehao Bai & Jizhou Liu & Max Tabord-Meehan, 2022. "Inference for Matched Tuples and Fully Blocked Factorial Designs," Papers 2206.04157, arXiv.org, revised Nov 2023.
    29. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    30. Yuehao Bai & Meng Hsuan Hsieh & Jizhou Liu & Max Tabord-Meehan, 2022. "Revisiting the Analysis of Matched-Pair and Stratified Experiments in the Presence of Attrition," Papers 2209.11840, arXiv.org, revised Oct 2023.
    31. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization," CeMMAP working papers 25/17, Institute for Fiscal Studies.
    32. Federico A. Bugni & Ivan A. Canay & Steve McBride, 2023. "Decomposition and Interpretation of Treatment Effects in Settings with Delayed Outcomes," Papers 2302.11505, arXiv.org, revised Oct 2023.
    33. Isaiah Andrews & Emily Oster, 2017. "A Simple Approximation for Evaluating External Validity Bias," NBER Working Papers 23826, National Bureau of Economic Research, Inc.
    34. Bugni, Federico A. & Gao, Mengsi, 2023. "Inference under covariate-adaptive randomization with imperfect compliance," Journal of Econometrics, Elsevier, vol. 237(1).
    35. Guiteras, Raymond P. & Levine, David I. & Polley, Thomas H., 2016. "The pursuit of balance in sequential randomized trials," Development Engineering, Elsevier, vol. 1(C), pages 12-25.
    36. Yujia Gu & Hanzhong Liu & Wei Ma, 2023. "Regression‐based multiple treatment effect estimation under covariate‐adaptive randomization," Biometrics, The International Biometric Society, vol. 79(4), pages 2869-2880, December.
    37. Gonzalo Vazquez-Bare, 2017. "Identification and Estimation of Spillover Effects in Randomized Experiments," Papers 1711.02745, arXiv.org, revised Jan 2022.
    38. Young, Alwyn, 2019. "Channeling Fisher: randomization tests and the statistical insignificance of seemingly significant experimental results," LSE Research Online Documents on Economics 101401, London School of Economics and Political Science, LSE Library.
    39. Luis Alvarez & Bruno Ferman & Raoni Oliveira, 2022. "Randomization Inference Tests for Shift-Share Designs," Papers 2206.00999, arXiv.org.
    40. Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148-174.
    41. Yuehao Bai, 2022. "Optimality of Matched-Pair Designs in Randomized Controlled Trials," Papers 2206.07845, arXiv.org.
    42. Max Cytrynbaum, 2021. "Optimal Stratification of Survey Experiments," Papers 2111.08157, arXiv.org, revised Aug 2023.
    43. Jizhou Liu, 2023. "Inference for Two-stage Experiments under Covariate-Adaptive Randomization," Papers 2301.09016, arXiv.org, revised Oct 2023.
    44. Ting Ye & Jun Shao, 2020. "Robust tests for treatment effect in survival analysis under covariate‐adaptive randomization," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(5), pages 1301-1323, December.
    45. Yuehao Bai & Meng Hsuan Hsieh & Jizhou Liu & Max Tabord‐Meehan, 2024. "Revisiting the analysis of matched‐pair and stratified experiments in the presence of attrition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 256-268, March.

  17. John List & Azeem Shaikh & Yang Xu, 2016. "Multiple Hypothesis Testing in Experimental Economics," Artefactual Field Experiments 00402, The Field Experiments Website.

    Cited by:

    1. Dong, Sarah & Sinning, Mathias, 2021. "Trying to Make a Good First Impression: A Natural Field Experiment to Engage New Entrants to the Tax System," IZA Discussion Papers 14253, Institute of Labor Economics (IZA).
    2. Shagata Mukherjee, 2020. "What Drives Gender Differences in Trust and Trustworthiness?," Public Finance Review, , vol. 48(6), pages 778-805, November.
    3. David Hardt & Markus Nagler & Johannes Rincke, 2022. "Tutoring in (Online) Higher Education: Experimental Evidence," CESifo Working Paper Series 9555, CESifo.
    4. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
    5. María Hernández de Benito, 2022. "This Is a Man’s World: Crime and Intra-Household Resource Allocation," HiCN Working Papers 372, Households in Conflict Network.
    6. Katherine Farrow & Gilles Grolleau & Lisette Ibanez, 2022. "Does misery love company? An experimental investigation [How much do we care about absolute versus relative income and consumption?]," Oxford Economic Papers, Oxford University Press, vol. 74(2), pages 523-540.
    7. Lydia Mechtenberg & Gerd Muehlheusser & Andreas Roider, 2017. "Whistle-Blower Protection: Theory and Experimental Evidence," CESifo Working Paper Series 6394, CESifo.
    8. Karthik Muralidharan & Mauricio Romero & Kaspar Wüthrich, 2020. "Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments," CESifo Working Paper Series 8137, CESifo.
    9. Yeomans, Michael & Al-Ubaydli, Omar, 2018. "How does fundraising affect volunteering? Evidence from a natural field experiment," Journal of Economic Psychology, Elsevier, vol. 64(C), pages 57-72.
    10. Ifcher, John & Zarghamee, Homa, 2018. "Behavioral Economic Phenomena in Decision-Making for Others," IZA Discussion Papers 11946, Institute of Labor Economics (IZA).
    11. Gallier, Carlo & Langbein, Jörg & Vance, Colin, 2016. "That's my turf: An experimental analysis of territorial use rights for fisheries in Indonesia," ZEW Discussion Papers 16-046, ZEW - Leibniz Centre for European Economic Research.
    12. C. Mónica Capra & Bing Jiang & Yuxin Su, 2022. "Do pledges lead to more volunteering? An experimental study," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 87-100, January.
    13. Dorner, Zack, 2019. "A behavioral rebound effect," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    14. Benito-Ostolaza, Juan Miguel & Echavarri, Rebeca & Garcia-Prado, Ariadna & Oses-Eraso, Nuria, 2021. "Using visual stimuli to promote healthy snack choices among children," Social Science & Medicine, Elsevier, vol. 270(C).
    15. Ek, Claes, 2017. "Some causes are more equal than others? The effect of similarity on substitution in charitable giving," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 45-62.
    16. De Neve, Jan-Emmanuel & Imbert, Clement & Spinnewijn, Johannes & Tsankova, Teodora & Luts, Maarten, 2020. "How to Improve Tax Compliance? Evidence from Population-wide Experiments in Belgium," CAGE Online Working Paper Series 458, Competitive Advantage in the Global Economy (CAGE).
    17. Ahsanuzzaman, & Priyo, Asad Karim Khan & Nuzhat, Kanti Ananta, 2022. "Effects of communication, group selection, and social learning on risk and ambiguity attitudes: Experimental evidence from Bangladesh," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    18. Jens Ludwig & Sendhil Mullainathan & Jann Spiess, 2017. "Machine-Learning Tests for Effects on Multiple Outcomes," Papers 1707.01473, arXiv.org, revised May 2019.
    19. Stefanie Fischer & Heather Royer & Corey White, 2017. "The Impacts of Reduced Access to Abortion and Family Planning Services on Abortion, Births, and Contraceptive Purchases," NBER Working Papers 23634, National Bureau of Economic Research, Inc.
    20. Andreoni, James & Serra-Garcia, Marta, 2021. "Time inconsistent charitable giving," Journal of Public Economics, Elsevier, vol. 198(C).
    21. Balan Emilia Mary, 2022. "Where Is Romania In The European Union’S Bioeconomic Context? The Cluster Analyses Approach," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 172-184, February.
    22. Kondratjeva, Olga & Roll, Stephen P. & Bufe, Sam & Grinstein-Weiss, Michal, 2021. "Using financial tips to guide debt repayment: Experimental evidence from low- and moderate-income tax filers," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    23. Roland G. Fryer Jr & Steven D. Levitt & John A. List & Anya Samek, 2020. "Introducing CogX: A New Preschool Education Program Combining Parent and Child Interventions," NBER Working Papers 27913, National Bureau of Economic Research, Inc.
    24. Hermes, Henning & Lergetporer, Philipp & Mierisch, Fabian & Peter, Frauke, 2023. "Discrimination on the child care market: A nationwide field experiment," DICE Discussion Papers 398, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    25. Hallsworth, Michael & List, John A. & Metcalfe, Robert D. & Vlaev, Ivo, 2017. "The behavioralist as tax collector: Using natural field experiments to enhance tax compliance," Journal of Public Economics, Elsevier, vol. 148(C), pages 14-31.
    26. Sutter, Matthias & Angerer, Silvia & Glatzle-Rutzler, Daniela & Lergetporer, Philipp, 2018. "Language group differences in time preferences: Evidence from primary school children in a bilingual city," Munich Reprints in Economics 62855, University of Munich, Department of Economics.
    27. Omar Al-Ubaydli & John List & Claire Mackevicius & Min Sok Lee & Dana Suskind, 2019. "How Can Experiments Play a Greater Role in Public Policy? 12 Proposals from an Economic Model of Scaling," Artefactual Field Experiments 00679, The Field Experiments Website.
    28. Norrgren, Lisa, 2021. "Time Preferences, Illness, and Death," Working Papers in Economics 812, University of Gothenburg, Department of Economics, revised 11 Oct 2021.
    29. Grolleau, Gilles & Ibanez, Lisette & Mzoughi, Naoufel, 2020. "Moral judgment of environmental harm caused by a single versus multiple wrongdoers: A survey experiment," Ecological Economics, Elsevier, vol. 170(C).
    30. Guerra, Alice & Harrington, Brooke, 2018. "Attitude–behavior consistency in tax compliance: A cross-national comparison," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 184-205.
    31. Galizzi, Matteo M. & Navarro-Martínez, Daniel, 2019. "On the external validity of social preference games: a systematic lab-field study," LSE Research Online Documents on Economics 84088, London School of Economics and Political Science, LSE Library.
    32. Marchegiani, Lucia & Reggiani, Tommaso & Rizzolli, Matteo, 2016. "Loss averse agents and lenient supervisors in performance appraisal," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PA), pages 183-197.
    33. Grewenig, Elisabeth & Lergetporer, Philipp & Werner, Katharina & Woessmann, Ludger, 2019. "Do Party Positions Affect the Public\'s Policy Preferences?," Rationality and Competition Discussion Paper Series 149, CRC TRR 190 Rationality and Competition.
    34. Toman Barsbai & Vojtěch Bartoš & Victoria Licuanan & Andreas Steinmayr & Erwin Tiongson & Dean Yang, 2022. "Picture This: Social Distance and the Mistreatment of Migrant Workers," Working Papers 2022-17, Faculty of Economics and Statistics, Universität Innsbruck.
    35. Levin, Tova & Levitt, Steven D. & List, John A., 2023. "A Glimpse into the world of high capacity givers: Experimental evidence from a university capital campaign," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 644-658.
    36. Luigi Butera & Philip J. Grossman & Daniel Houser & John A. List & Marie Claire Villeval, 2020. "A New Mechanism to Alleviate the Crises of Confidence in Science - With an Application to the Public Goods Game," Monash Economics Working Papers 03-20, Monash University, Department of Economics.
    37. Ghazala Azmat & Manuel Bagues & Antonio Cabrales & Nagore Iriberri, 2018. "What you don’t know... Can’t hurt you? A natural field experiment on relative performance feedback in higher education," Sciences Po publications info:hdl:2441/5r0qo9lp3v9, Sciences Po.
    38. John List, 2022. "2021 Summary Data of Natural Field Experiments Published on Fieldexperiments.com," Natural Field Experiments 00747, The Field Experiments Website.
    39. Melesse, Mequanint B. & Cecchi, Francesco, 2017. "Does Market Experience Attenuate Risk Aversion? Evidence from Landed Farm Households in Ethiopia," World Development, Elsevier, vol. 98(C), pages 447-466.
    40. Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
    41. Philip Oreopoulos & Uros Petronijevic & Christine Logel & Graham Beattie, 2018. "Improving Non-Academic Student Outcomes Using Online and Text-Message Coaching," NBER Working Papers 24992, National Bureau of Economic Research, Inc.
    42. Davidson Heath & Matthew Ringgenberg & Mehrdad Samadi & Ingrid M. Werner, 2022. "Reusing Natural Experiments," International Finance Discussion Papers 1339, Board of Governors of the Federal Reserve System (U.S.).
    43. Billur Aksoy & Silvana Krasteva, 2020. "When does less information translate into more giving to public goods?," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1148-1177, December.
    44. Jinkwon Lee & Sujin Min, 2021. "The effects of repeated induction of emotions on cooperation and punishment," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 925-943, July.
    45. Maximilian Linek & Christian Traxler, 2021. "Framing and Social Information Nudges at Wikipedia," Papers 2106.11128, arXiv.org.
    46. Leonardo Bursztyn & Alessandra L. González & David Yanagizawa-Drott, 2018. "Misperceived Social Norms: Female Labor Force Participation in Saudi Arabia," NBER Working Papers 24736, National Bureau of Economic Research, Inc.
    47. Hermes, Henning & Krauß, Marina & Lergetporer, Philipp & Peter, Frauke & Wiederhold, Simon, 2022. "Early Child Care and Labor Supply of Lower-SES Mothers: A Randomized Controlled Trial," IZA Discussion Papers 15814, Institute of Labor Economics (IZA).
    48. Steven F. Lehrer & R. Vincent Pohl & Kyungchul Song, 2016. "Targeting Policies: Multiple Testing and Distributional Treatment Effects," NBER Working Papers 22950, National Bureau of Economic Research, Inc.
    49. Gianmarco Daniele & Andrea F.M. Martinangeli & Francesco Passarelli & Willem Sas & Lisa Windsteiger, 2020. "When Distrust Goes Viral: Causal Effects of Covid-19 on European Political Attitudes," CESifo Working Paper Series 8804, CESifo.
    50. Steven Tucker & Shuze Ding & Volodymyr Lugovskyy & Daniela Puzzello & Arlington Williams, 2017. "Cash versus Extra-Credit Incentives in Experimental Asset Markets," Working Papers in Economics 17/21, University of Waikato.
    51. James Andreoni & Marta Serra-Garcia, 2019. "The Pledging Puzzle: How Can Revocable Promises Increase Charitable Giving," CESifo Working Paper Series 7965, CESifo.
    52. Adena, Maja & Alizade, Jeyhun & Bohner, Frauke & Harke, Julian & Mesters, Fabio, 2018. "Quality certifications for nonprofits, charitable giving, and donor's trust: experimental evidence," Discussion Papers, Research Unit: Economics of Change SP II 2017-302r, WZB Berlin Social Science Center, revised 2018.
    53. Grolleau Gilles & Ibanez Lisette & Mzoughi Naoufel, 2020. "Is a ‘Bad Individual’ more Condemnable than Several ‘Bad Individuals’? Examining the Scope-severity Paradox," Review of Law & Economics, De Gruyter, vol. 16(3), pages 1-18, November.
    54. Vojtech Bartos & Michal Bauer & Jana Cahlikova & Julie Chytilová, 2020. "Covid-19 Crisis Fuels Hostility against Foreigners," CESifo Working Paper Series 8309, CESifo.
    55. Lind, Jo Thori & Nyborg, Karine & Pauls, Anna, 2019. "Save the planet or close your eyes? Testing strategic ignorance in a charity context," Ecological Economics, Elsevier, vol. 161(C), pages 9-19.
    56. Bejarano, Hernán & Gillet, Joris & Rodriguez-Lara, Ismael, 2021. "Trust and trustworthiness after negative random shocks," Journal of Economic Psychology, Elsevier, vol. 86(C).
    57. Gillitzer, Christian & Sinning, Mathias, 2018. "Nudging businesses to pay their taxes: Does timing matter?," Ruhr Economic Papers 760, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    58. Martin Fochmann & Florian Sachs & Abdolkarim Sadrieh & Joachim Weimann, 2018. "The two sides of public debt: Intergenerational altruism and burden shifting," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-27, August.
    59. Ajzenman, Nicolás & Elacqua, Gregory & Hincapié, Diana & Jaimovich, Analía & Boo, Florencia López & Paredes, Diana & Román, Alonso, 2021. "Career choice motivation using behavioral strategies," Economics of Education Review, Elsevier, vol. 84(C).
    60. Goldzahl, Léontine & Hollard, Guillaume & Jusot, Florence, 2018. "Increasing breast-cancer screening uptake: A randomized controlled experiment," Journal of Health Economics, Elsevier, vol. 58(C), pages 228-252.
    61. Benjamin Ouvrard & Stefan Ambec & Arnaud Reynaud & Stéphane Cezera & Murudaiah Shivamurthy, 2022. "Sharing rules for a common-pool resource in a lab experiment," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 59(3), pages 605-635, October.
    62. Rob Bauer & Inka Eberhardt & Paul Smeets, 2022. "A Fistful of Dollars: Financial Incentives, Peer Information, and Retirement Savings," The Review of Financial Studies, Society for Financial Studies, vol. 35(6), pages 2981-3020.
    63. Diego Ubfal & Irani Arraiz & Diether Beuermann & Michael Frese & Alessandro Maffioli & Daniel Verch, 2019. "The Impact of Soft-Skills Training for Entrepreneurs in Jamaica," Working Papers 645, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    64. Shagata Mukherjee & Michael Price, 2016. "Gender, Group and Moral Hazard in Microfinance: Evidence from Matrilineal and Patrilineal Societies in India," Framed Field Experiments 00554, The Field Experiments Website.
    65. Björn Bos & Moritz A. Drupp & Jasper N. Meya & Martin F. Quaas, 2020. "Moral Suasion and the Private Provision of Public Goods: Evidence from the COVID-19 Pandemic," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1117-1138, August.
    66. Felipe A. Dunsch & David K. Evans & Ezinne Eze-Ajoku & Mario Macis, 2017. "Management, Supervision, and Health Care: A Field Experiment," NBER Working Papers 23749, National Bureau of Economic Research, Inc.
    67. Marianne Bertrand & Bruno Crépon & Alicia Marguerie & Patrick Premand, 2021. "Do Workfare Programs Live Up to Their Promises? Experimental Evidence from Cote D’Ivoire," NBER Working Papers 28664, National Bureau of Economic Research, Inc.
    68. Burlig, Fiona, 2018. "Improving transparency in observational social science research: A pre-analysis plan approach," Economics Letters, Elsevier, vol. 168(C), pages 56-60.
    69. Lechner, Michael & Strittmatter, Anthony & Knaus, Michael C., 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," CEPR Discussion Papers 12224, C.E.P.R. Discussion Papers.
    70. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
    71. Bedoya, Guadalupe & Bittarello, Luca & Davis, Jonathan & Mittag, Nikolas, 2018. "Distributional Impact Analysis: Toolkit and Illustrations of Impacts beyond the Average Treatment Effect," IZA Discussion Papers 11863, Institute of Labor Economics (IZA).
    72. Alec Brandon & Justin E. Holz & Andrew Simon & Haruka Uchida, 2023. "Minimum Wages and Racial Discrimination in Hiring: Evidence from a Field Experiment," Upjohn Working Papers 23-389, W.E. Upjohn Institute for Employment Research.
    73. John List & Julie Pernaudet & Dana Suskind, 2021. "It All Starts with Beliefs: Addressing the Roots of Educational Inequities by Changing Parental Beliefs," Framed Field Experiments 00740, The Field Experiments Website.
    74. Josephson, Anna & Michler, Jeffrey D., 2018. "Viewpoint: Beasts of the field? Ethics in agricultural and applied economics," Food Policy, Elsevier, vol. 79(C), pages 1-11.
    75. Gruener, Sven, 2018. "Sample size calculations in economic RCTs: following clinical studies?," SocArXiv 43zbg, Center for Open Science.
    76. Daniel Kling & Thomas Stratmann, 2016. "The Efficacy of Political Advertising: A Voter Participation Field Experiment with Multiple Robo Calls and Controls for Selection Effects," CESifo Working Paper Series 6195, CESifo.
    77. Michel André Maréchal & Christian Thöni, 2016. "Hidden persuaders: do small gifts lubricate business negotiations?," ECON - Working Papers 227, Department of Economics - University of Zurich, revised May 2018.
    78. C. Yiwei Zhang & Jeffrey Hemmeter & Judd B. Kessler & Robert D. Metcalfe & Robert Weathers, 2023. "Nudging Timely Wage Reporting: Field Experimental Evidence from the U.S. Supplemental Security Income Program," Management Science, INFORMS, vol. 69(3), pages 1341-1353, March.
    79. Lynch, John & Meunier, Aurélie & Pilkington, Rhiannon & Schurer, Stefanie, 2019. "Baby Bonuses and Early-Life Health Outcomes: Using Regression Discontinuity to Evaluate the Causal Impact of an Unconditional Cash Transfer," IZA Discussion Papers 12230, Institute of Labor Economics (IZA).
    80. Eszter Czibor & Silvia Dominguez Martinez, 2019. "Never too Late: Gender Quotas in the Final Round of a Multistage Tournament," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 35(2), pages 319-363.
    81. Anna Baiardi & Andrea A. Naghi, 2021. "The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies," Papers 2101.00878, arXiv.org.
    82. Yanchun Jin & Ryo Okui, 2020. "Testing for overconfidence statistically: A moment inequality approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 879-892, November.
    83. Joana Elisa Maldonado & Kristof De Witte & Koen Declercq, 2022. "The effects of parental involvement in homework: two randomised controlled trials in financial education," Empirical Economics, Springer, vol. 62(3), pages 1439-1464, March.
    84. Paul M. Gorny & Petra Nieken & Karoline Ströhlein, 2023. "He, She, They? The Impact of Gendered Language on Economic Behavior," CESifo Working Paper Series 10458, CESifo.
    85. Grewenig, Elisabeth & Lergetporer, Philipp & Werner, Katharina, 2020. "Gender Norms and Labor-Supply Expectations: Experimental Evidence from Adolescents," Rationality and Competition Discussion Paper Series 259, CRC TRR 190 Rationality and Competition.
    86. Tatiana Homonoff & Rourke O'Brien & Abigail B. Sussman, 2021. "Does Knowing Your FICO Score Change Financial Behavior? Evidence from a Field Experiment with Student Loan Borrowers," The Review of Economics and Statistics, MIT Press, vol. 103(2), pages 236-250, May.
    87. Luigi Butera & Daniel Houser, 2016. "Delegating Altruism: Toward an Understanding of Agency in Charitable Giving," Working Papers 1060, George Mason University, Interdisciplinary Center for Economic Science.
    88. Callen, Michael & Blumenstock, Joshua & Ghani, Tarek, 2016. "Mobile-izing Savings with Automatic Contributions: Experimental Evidence on Present Bias and Default Effects in Afghanistan," CEPR Discussion Papers 11400, C.E.P.R. Discussion Papers.
    89. Brown, Martin & Serra-García, Marta, 2014. "The Threat of Exclusion and Implicit Contracting," Working Papers on Finance 1407, University of St. Gallen, School of Finance, revised Jun 2016.
    90. Michael DiNardi & Melanie Guldi & David Simon, 2019. "Body weight and Internet access: evidence from the rollout of broadband providers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(3), pages 877-913, July.
    91. Gianmarco Daniele & Andrea F.M. Martinangeli & Francesco Passarelli & Willem Sas & Lisa Windsteiger, 2020. "When Economic and Health Crises Collide: The Effect of Covid-19 on Political Attitudes," Working Papers tax-mpg-rps-2020-18_2, Max Planck Institute for Tax Law and Public Finance.
    92. Aminou Arouna & Jeffrey D. Michler & Jourdain C. Lokossou, 2019. "Contract Farming and Rural Transformation: Evidence from a Field Experiment in Benin," NBER Working Papers 25665, National Bureau of Economic Research, Inc.
    93. Sonntag, Jan, 2015. "Measuring image concerns," CEPR Discussion Papers 10831, C.E.P.R. Discussion Papers.
    94. Henning Hermes & Philipp Lergetporer & Frauke Peter & Simon Wiederhold, 2021. "Application Barriers and the Socioeconomic Gap in Child Care Enrollment," CESifo Working Paper Series 9282, CESifo.
    95. Vladasel, Theodor & Parker, Simon C. & Sloof, Randolph & van Praag, Mirjam C., 2022. "Revenue Drift, Incentives, and Effort Allocation in Social Enterprises," IZA Discussion Papers 15716, Institute of Labor Economics (IZA).
    96. Francesco Agostinelli & Ciro Avitable & Matteo Bobba, 2021. "Enhancing Human Capital in Children: A Case Study on Scaling," Working Papers 2021-012, Human Capital and Economic Opportunity Working Group.
    97. Grüner Sven, 2020. "Sample Size Calculation in Economic Experiments," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(6), pages 791-823, December.
    98. Gyula Seres & Anna Helen Balleyer & Nicola Cerutti & Anastasia Danilov & Jana Friedrichsen & Yiming Liu & Müge Süer, 2021. "Face masks increase compliance with physical distancing recommendations during the COVID-19 pandemic," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 139-158, December.
    99. Youwei Wang & Yuxin Chen & Yi Qian, 2018. "The Causal Link between Relative Age Effect and Entrepreneurship: Evidence from 17 Million Users across 49 Years on Taobao," NBER Working Papers 25318, National Bureau of Economic Research, Inc.
    100. Lisette Ibanez & Sébastien Roussel, 2022. "The impact of nature video exposure on pro-environmental behavior: An experimental investigation," Post-Print hal-03847453, HAL.
    101. Randolph, Hannah, 2023. "Household-level welfare effects of land expropriation: Evidence from China," MPRA Paper 116766, University Library of Munich, Germany.
    102. Castagnetti, Alessandro & Schmacker, Renke, 2022. "Protecting the ego: Motivated information selection and updating," European Economic Review, Elsevier, vol. 142(C).
    103. Florian Englmaier & Stefan Grimm & Dominik Grothe & David Schindler & Simeon Schudy, 2021. "The Value of Leadership: Evidence from a Large-Scale Field Experiment," CESifo Working Paper Series 9273, CESifo.
    104. Antinyan, Armenak & Corazzini, Luca, 2021. "Money does it better! Economic incentives, nudging interventions and reusable shopping bags: Evidence from a natural field experiment," Cardiff Economics Working Papers E2021/29, Cardiff University, Cardiff Business School, Economics Section.
    105. Gary Charness & Yves Le Bihan & Marie Claire Villeval, 2023. "Mindfulness Training, Cognitive Performance and Stress Reduction," Post-Print hal-04199093, HAL.
    106. Pinotti, Paolo & Britto, Diogo & Sampaio, Breno, 2020. "The Effect of Job Loss and Unemployment Insurance on Crime in Brazil," CEPR Discussion Papers 14789, C.E.P.R. Discussion Papers.
    107. Jorrat, Diego, 2021. "Recruiting experimental subjects using WhatsApp," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    108. Thibaut Arpinon & Romain Espinosa, 2023. "A Practical Guide to Registered Reports for Economists," Post-Print halshs-03897719, HAL.
    109. Englmaier, Florian & Grimm, Stefan & Grothe, Dominik & Schindler, David & Schudy, Simeon, 2023. "The effect of incentives in non-routine analytical team tasks," Other publications TiSEM 59dcd2ae-f55c-4f75-a225-f, Tilburg University, School of Economics and Management.
    110. Facchini, Giovanni & Margalit, Yotam & Nakata, Hiroyuki, 2016. "Countering Public Opposition to Immigration: The Impact of Information Campaigns," CEPR Discussion Papers 11709, C.E.P.R. Discussion Papers.
    111. Alexander L. Brown & Jonathan Meer & J. Forrest Williams, 2013. "Why Do People Volunteer? An Experimental Analysis of Preferences for Time Donations," NBER Working Papers 19066, National Bureau of Economic Research, Inc.
    112. Gianmarco Daniele & Andrea F.M. Martinangeli & Francesco Passarelli & Willem Sas & Lisa Windsteiger, 2020. "Fear and Loathing in Times of Distress Causal Impact of Social and Economic Insecurity on Anti-Immigration Sentiment," Working Papers tax-mpg-rps-2020-17, Max Planck Institute for Tax Law and Public Finance.
    113. Joshua Blumenstock & Michael Callen & Tarek Ghani, 2018. "Why Do Defaults Affect Behavior? Experimental Evidence from Afghanistan," American Economic Review, American Economic Association, vol. 108(10), pages 2868-2901, October.
    114. Brit Grosskopf & Graeme Pearce, 2016. "Do you mind me paying less? Measuring Other-Regarding Preferences in the Market for Taxis," Natural Field Experiments 00556, The Field Experiments Website.
    115. Julie R. Agnew & Hazel Bateman & Christine Eckert & Fedor Iskhakov & Jordan Louviere & Susan Thorp, 2018. "First Impressions Matter: An Experimental Investigation of Online Financial Advice," Management Science, INFORMS, vol. 64(1), pages 288-307, January.
    116. Philipp Lergetporer & Katharina Wedel & Katharina Werner, 2023. "Automatability of Occupations, Workers’ Labor-Market Expectations, and Willingness to Train," CESifo Working Paper Series 10862, CESifo.
    117. Andreas Leibbrandt & John List, 2018. "Do Equal Employment Opportunity Statements Backfire? Evidence From a Natural Field Experiment on Job-Entry Decisions," Natural Field Experiments 00642, The Field Experiments Website.
    118. Kee, Jennifer & Segovia, Michelle S. & Saboury, Piruz & Palma, Marco A., 2022. "Appealing to generosity to reduce food calorie intake: A natural field experiment," Food Policy, Elsevier, vol. 110(C).
    119. Bertoni, Marco & Corazzini, Luca & Robone, Silvana, 2019. "Promoting Breast Cancer Screening Take-Ups with Zero Cost: Evidence from an Experiment on Formatting Invitation Letters in Italy," IZA Discussion Papers 12193, Institute of Labor Economics (IZA).
    120. Toman Barsbai & Victoria Licuanan & Andreas Steinmayr & Erwin Tiongson & Dean Yang, 2020. "Information and the Acquisition of Social Network Connections," NBER Working Papers 27346, National Bureau of Economic Research, Inc.
    121. Lergetporer, Philipp & Wedel, Katharina & Werner, Katharina, 2023. "Automatability of Occupations, Workers' Labor-Market Expectations, and Willingness to Train," IZA Discussion Papers 16687, Institute of Labor Economics (IZA).
    122. Guigonan S. Adjognon & Daan van Soest & Jonas Guthoff, 2021. "Reducing Hunger with Payments for Environmental Services (PES): Experimental Evidence from Burkina Faso," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 831-857, May.
    123. Bobba, Matteo & Frisancho, Veronica & Pariguana, Marco, 2016. "Perceived Ability and School Choices: Experimental Evidence and Scale-up Effects," TSE Working Papers 16-660, Toulouse School of Economics (TSE), revised May 2023.
    124. Zhe Zhang & Louis Putterman & Xu Zhang, 2018. "Trust and Cooperation at a Confluence of Worlds: An Experiment in Xinjiang, China," Working Papers 2018-4, Brown University, Department of Economics.
    125. Lubega, Patrick & Nakakawa, Frances & Narciso, Gaia & Newman, Carol & Kaaya, Archileo N. & Kityo, Cissy & Tumuhimbise, Gaston A., 2021. "Body and mind: Experimental evidence from women living with HIV," Journal of Development Economics, Elsevier, vol. 150(C).
    126. Topi Miettinen & Olli Ropponen & Pekka Sääskilahti, 2020. "Prospect Theory, Fairness, and the Escalation of Conflict at a Negotiation Impasse," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(4), pages 1535-1574, October.
    127. Ambler, Kate & Godlonton, Susan, 2021. "Earned and unearned income: Experimental evidence on expenditures and labor supply in Malawi," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 33-44.
    128. He, Haoran & Chen, Yefeng & Last Name, First Name, 2014. "Auction Mechanisms for Allocating Subsidies for Carbon Emissions Reduction: An Experimental Investigation," RFF Working Paper Series dp-14-06-efd, Resources for the Future.
    129. Martinangeli, Andrea F.M. & Windsteiger, Lisa, 2023. "Immigration vs. poverty: Causal impact on demand for redistribution in a survey experiment," European Journal of Political Economy, Elsevier, vol. 78(C).
    130. Etan A. Green & Justin M. Rao & David Rothschild, 2019. "A Sharp Test of the Portability of Expertise," Management Science, INFORMS, vol. 67(6), pages 2820-2831, June.
    131. Resnjanskij, Sven & Ruhose, Jens & Wiederhold, Simon & Woessmann, Ludger, 2021. "Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor-Market Prospects," IZA Discussion Papers 14097, Institute of Labor Economics (IZA).
    132. Jeworrek, Sabrina & Waibel, Joschka, 2021. "Alone at home: The impact of social distancing on norm-consistent behavior," IWH Discussion Papers 8/2021, Halle Institute for Economic Research (IWH).
    133. Campo, Francesco & Giunti, Sara & Mendola, Mariapia & Tura, Giulia, 2023. "Political Backlash to Refugee Settlement: Cultural and Economic Drivers," IZA Discussion Papers 16245, Institute of Labor Economics (IZA).
    134. Kudo, Yuya & Shonchoy, Abu S. & Takahashi, Kazushi, 2017. "Short-term impacts of solar lanterns on child health : experimental evidence from Bangladesh," IDE Discussion Papers 646, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    135. Antinyan, Armenak & Corazzini, Luca, 2023. "Breaking the Bag Habit: Testing Interventions to Reduce Plastic Bag Demand in a Developing Country," Cardiff Economics Working Papers E2023/7, Cardiff University, Cardiff Business School, Economics Section.
    136. Breig, Zachary & Gibson, Matthew & Shrader, Jeffrey G., 2020. "Why Do We Procrastinate? Present Bias and Optimism," IZA Discussion Papers 13060, Institute of Labor Economics (IZA).
    137. Henning Hermes & Philipp Lergetporer & Fabian Mierisch & Frauke Peter & Simon Wiederhold, 2023. "Discrimination in Universal Social Programs? A Nationwide Field Experiment on Access to Child Care," CESifo Working Paper Series 10368, CESifo.
    138. Gallier, Carlo & Goeschl, Timo & Kesternich, Martin & Lohse, Johannes & Reif, Christiane & Römer, Daniel, 2017. "Leveling up? An inter-neighborhood experiment on parochialism and the efficiency of multi-level public goods provision," Working Papers 0630, University of Heidelberg, Department of Economics.
    139. Fazzio, Ila & Eble, Alex & Lumsdaine, Robin L. & Boone, Peter & Bouy, Baboucarr & Hsieh, Pei-Tseng Jenny & Jayanty, Chitra & Johnson, Simon & Silva, Ana Filipa, 2021. "Large learning gains in pockets of extreme poverty: Experimental evidence from Guinea Bissau," Journal of Public Economics, Elsevier, vol. 199(C).
    140. Raphael Boleslavsky & Bruce Carlin & Christopher Cotton, 2019. "Disincentive Effects of Evaluation," Working Paper 1410, Economics Department, Queen's University.
    141. Zeng-Hua Lu, 2019. "Extended MinP Tests of Multiple Hypotheses," Papers 1911.04696, arXiv.org.
    142. Philipp Lergetporer & Katharina Wedel & Katharina Werner, 2023. "Automatability of Occupations, Workers' Labor-market Expectations, and Willingness to Train," Rationality and Competition Discussion Paper Series 488, CRC TRR 190 Rationality and Competition.
    143. Requate, Tilman & Camacho-Cuena, Eva & Ch'ng, Kean Siang & Waichman, Israel, 2019. "Tell the truth or not? The Montero mechanism for emissions control at work," KCG Working Papers 18, Kiel Centre for Globalization (KCG).
    144. Wagner, Valentin, 2016. "Seeking risk or answering smart? Framing in elementary schools," DICE Discussion Papers 227, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    145. Florian Englmaier & Stefan Grimm & Dominik Grothe & David Schindler & Simeon Schudy, 2023. "The Efficacy of Tournaments for Non-Routine Team Tasks," Rationality and Competition Discussion Paper Series 445, CRC TRR 190 Rationality and Competition.
    146. Kassas, Bachir & Palma, Marco A., 2019. "Self-serving biases in social norm compliance," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 388-408.
    147. 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.
    148. Timothy N. Cason & Daniel Friedman & Ed Hopkins, 2020. "An Experimental Investigation of Price Dispersion and Cycles," Purdue University Economics Working Papers 1324, Purdue University, Department of Economics.
    149. Henning Hermes & Philipp Lergetporer & Frauke Peter & Simon Wiederhold, 2021. "Behavioral Barriers and the Socioeconomic Gap in Child Care Enrollment," Discussion Papers of DIW Berlin 1970, DIW Berlin, German Institute for Economic Research.
    150. Mette Trier Damgaard & Christiana Gravert, 2016. "The hidden costs of nudging: Experimental evidence from reminders in fundraising," Economics Working Papers 2016-03, Department of Economics and Business Economics, Aarhus University.
    151. Grewenig, Elisabeth & Lergetporer, Philipp & Werner, Katharina & Woessmann, Ludger, 2020. "Do party positions affect the public's policy preferences? Experimental evidence on support for family policies," Munich Reprints in Economics 84746, University of Munich, Department of Economics.
    152. Denteh, Augustine & Liebert, Helge, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," IZA Discussion Papers 15192, Institute of Labor Economics (IZA).
    153. Chowdhury, Shyamal & Hasan, Syed & Sharma, Uttam, 2024. "The Role of Trainee Selection in the Effectiveness of Vocational Training: Evidence from a Randomized Controlled Trial in Nepal," IZA Discussion Papers 16705, Institute of Labor Economics (IZA).
    154. Jana Gallus, 2016. "Fostering Voluntary Contributions to a Public Good: A Large-Scale Natural Field Experiment at Wikipedia," Natural Field Experiments 00552, The Field Experiments Website.
    155. Jeffrey A. Flory & Andreas Leibbrandt & John A. List, 2016. "The Effects of Wage Contracts on Workplace Misbehaviors: Evidence from a Call Center Natural Field Experiment," NBER Working Papers 22342, National Bureau of Economic Research, Inc.
    156. Philipp Bach & Victor Chernozhukov & Martin Spindler, 2018. "Valid Simultaneous Inference in High-Dimensional Settings (with the hdm package for R)," Papers 1809.04951, arXiv.org.
    157. Sophie Clot & Gilles Grolleau & Lisette Ibanez, 2022. "A Reference Point Bias in Judging Cheaters," Post-Print hal-03528307, HAL.
    158. Antinyan, Armenak & Corazzini, Luca & Fi ar, Milo & Reggiani, Tommaso, 2022. "Mind the framing when studying social preferences in the domain of losses," Cardiff Economics Working Papers E2022/16, Cardiff University, Cardiff Business School, Economics Section.
    159. Luca Corazzini & Christopher Cotton & Tommaso Reggiani, 2020. "Delegation and coordination with multiple threshold public goods: experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1030-1068, December.
    160. Yu, Hang, 2023. "Social stigma as a barrier to HIV testing: Evidence from a randomized experiment in Mozambique," Journal of Development Economics, Elsevier, vol. 161(C).
    161. Damon Alexander & Christopher Boone & Michael Lynnb, 2021. "The Effects of Tip Recommendations on Customer Tipping, Satisfaction, Repatronage, and Spending," Management Science, INFORMS, vol. 67(1), pages 146-165, January.
    162. Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The sorted effects method: discovering heterogeneous effects beyond their averages," CeMMAP working papers CWP74/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    163. Emma von Essen & Marieke Huysentruyt & Topi Miettinen, 2019. "Exploration in Teams and the Encouragement Effect: Theory and Evidence," Economics Working Papers 2019-10, Department of Economics and Business Economics, Aarhus University.
    164. Christian Ochsner, 2023. "Hostility, Population Sorting, and Backwardness: Quasi-Experimental Evidence from the Red Army after WWII," CERGE-EI Working Papers wp768, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    165. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    166. Fanghella, Valeria & Ploner, Matteo & Tavoni, Massimo, 2021. "Energy saving in a simulated environment: An online experiment of the interplay between nudges and financial incentives," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    167. Brigham R. Frandsen & Lars J. Lefgren, 2021. "Partial identification of the distribution of treatment effects with an application to the Knowledge is Power Program (KIPP)," Quantitative Economics, Econometric Society, vol. 12(1), pages 143-171, January.
    168. Adena, Maja & Huck, Steffen, 2018. "Giving Once, Giving Twice: A Two-Period Field Experiment On Intertemporal Crowding in Charitable Giving," Rationality and Competition Discussion Paper Series 130, CRC TRR 190 Rationality and Competition.
    169. Brennan S. Thompson & Matthew D. Webb, 2017. "A simple, graphical approach to comparing multiple treatment," Canadian Stata Users' Group Meetings 2017 01, Stata Users Group.
    170. Chávez, Carlos A. & Murphy, James J. & Quezada, Felipe J. & Stranlund, John K., 2023. "The endogenous formation of common pool resource coalitions," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 82-102.
    171. Cortés, Darwin & Maldonado, Darío & Gallego, Juan & Charpak, Nathalie & Tessier, Rejean & Ruiz, Juan Gabriel & Hernandez, José Tiberio & Uriza, Felipe & Pico, Julieth, 2022. "Comparing long-term educational effects of two early childhood health interventions," Journal of Health Economics, Elsevier, vol. 86(C).
    172. Augsburg, Britta & Bancalari, Antonella & Durrani, Zara & Vaidyanathan, Madhav & White, Zach, 2022. "When nature calls back: Sustaining behavioral change in rural Pakistan," Journal of Development Economics, Elsevier, vol. 158(C).
    173. Charles A. Holt & Sean P. Sullivan, 2023. "Permutation tests for experimental data," Experimental Economics, Springer;Economic Science Association, vol. 26(4), pages 775-812, September.
    174. Sandner, Malte & Cornelissen, Thomas & Jungmann, Tanja & Herrmann, Peggy, 2018. "Evaluating the effects of a targeted home visiting program on maternal and child health outcomes," Journal of Health Economics, Elsevier, vol. 58(C), pages 269-283.
    175. Maria De Paola & Francesca Gioia & Vincenzo Scoppa, 2018. "Free-riding and knowledge spillovers in teams: The role of social ties," Natural Field Experiments 00704, The Field Experiments Website.
    176. Constança Esteves-Sorenson, 2018. "Gift Exchange in the Workplace: Addressing the Conflicting Evidence with a Careful Test," Management Science, INFORMS, vol. 64(9), pages 4365-4388, September.
    177. Kesternich, Martin & Römer, Daniel & Flues, Florens, 2019. "The power of active choice: Field experimental evidence on repeated contribution decisions to a carbon offsetting program," European Economic Review, Elsevier, vol. 114(C), pages 76-91.
    178. James Andreoni & Amalia Di Girolamo & John List & Claire Mackevicius & Anya Samek, 2019. "Risk Preferences of Children and Adolescents in Relation to Gender, Cognitive Skills, Soft Skills, and Executive Functions," Artefactual Field Experiments 00668, The Field Experiments Website.
    179. Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "A model of multiple hypothesis testing," Papers 2104.13367, arXiv.org, revised Apr 2024.
    180. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    181. Umut Dur & Robert G. Hammond & Thayer Morrill, 2018. "Identifying the Harm of Manipulable School-Choice Mechanisms," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 187-213, February.
    182. Eszter Czibor & David Jimenez‐Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 371-432, October.
    183. Melissa Newham & Marica Valente, 2022. "The Cost of Influence: How Gifts to Physicians Shape Prescriptions and Drug Costs," Papers 2203.01778, arXiv.org, revised Apr 2023.
    184. Yang, Dean & Allen, James & Mahumane, Arlete & Riddell, James & Yu, Hang, 2023. "Knowledge, stigma, and HIV testing: An analysis of a widespread HIV/AIDS program," Journal of Development Economics, Elsevier, vol. 160(C).
    185. Andreoni, James & Kuhn, Michael A. & List, John A. & Samek, Anya & Sokal, Kevin & Sprenger, Charles, 2019. "Toward an understanding of the development of time preferences: Evidence from field experiments," Journal of Public Economics, Elsevier, vol. 177(C), pages 1-1.
    186. Daviti Jibuti, 2018. "Discrimination against Workers with Visible Tattoos: Experimental Evidence from Germany," CERGE-EI Working Papers wp628, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    187. Bolton, Gary & Dimant, Eugen & Schmidt, Ulrich, 2021. "Observability and social image: On the robustness and fragility of reciprocity," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 946-964.
    188. Gilles Grolleau & Murat Mungan & Naoufel Mzoughi, 2022. "Seemingly irrelevant information? The impact of legal team size on third party perceptions," Post-Print hal-03843247, HAL.
    189. 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.
    190. Giuseppe Attanasi & Luca Corazzini & Nikolaos Georgantzís & Francesco Passarelli, 2014. "Special Section: Experiments on Learning, Methods, and Voting," Pacific Economic Review, Wiley Blackwell, vol. 19(3), pages 355-386, August.
    191. Philipp Lergetporer & Katharina Wedel & Katharina Werner, 2023. "Automatability of occupations, workers’ labor-market expectations, and willingness to train," Munich Papers in Political Economy 32, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    192. Sophie Clot & Gilles Grolleau & Lisette Ibanez, 2020. "Projection bias in environmental attitudes and behavioral intentions," Working Papers hal-02874044, HAL.
    193. Billari, Francesco C. & Favero, Carlo A. & Saita, Francesco, 2023. "Online financial and demographic education for workers: Experimental evidence from an Italian Pension Fund," Journal of Banking & Finance, Elsevier, vol. 151(C).
    194. Anna Baiardi & Andrea A. Naghi, 2021. "The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies," Tinbergen Institute Discussion Papers 21-001/V, Tinbergen Institute.
    195. Rommel, Jens & Weltin, Meike, 2017. "Is there a cult of statistical significance in Agricultural Economics?," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 261998, German Association of Agricultural Economists (GEWISOLA).
    196. Jon H. Fiva & Olle Folke & Rune J. Sørensen, 2018. "The Power of Parties: Evidence from Close Municipal Elections in Norway," Scandinavian Journal of Economics, Wiley Blackwell, vol. 120(1), pages 3-30, January.
    197. Norrgren, Lisa, 2022. "Time preference, illness, and death," Journal of Health Economics, Elsevier, vol. 86(C).
    198. Lehrer, Steven F. & Pohl, R. Vincent & Song, Kyungchul, 2018. "Multiple Testing and the Distributional Effects of Accountability Incentives in Education," MPRA Paper 89532, University Library of Munich, Germany.
    199. Matthias Lang & Simeon Schudy, 2023. "(Dis)honesty and the Value of Transparency for Campaign Promises," Rationality and Competition Discussion Paper Series 409, CRC TRR 190 Rationality and Competition.
    200. Lizhong Peng & Jie Chen & Xiaohui Guo, 2022. "Macroeconomic conditions and health‐related outcomes in the United States: A metropolitan and micropolitan statistical area‐level analysis between 2004 and 2017," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 3-20, January.
    201. Ayalew, Hailemariam & Chamberlin, Jordan & Newman, Carol, 2022. "Site-specific agronomic information and technology adoption: A field experiment from Ethiopia," Journal of Development Economics, Elsevier, vol. 156(C).
    202. Sadoff, Sally & Samek, Anya, 2019. "The effect of recipient contribution requirements on support for social programs," Journal of Public Economics, Elsevier, vol. 169(C), pages 1-16.
    203. Kathryn N. Vasilaky & J. Michelle Brock, 2020. "Power(ful) guidelines for experimental economists," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 189-212, December.
    204. Elias, Julio & Lacetera, Nicola & Macis, Mario, 2022. "Is the Price Right? The Role of Morals, Ideology, and Tradeoff Thinking in Explaining Reactions to Price Surges," IZA Discussion Papers 15238, Institute of Labor Economics (IZA).
    205. Heather Klemick & Ann Wolverton & Bryan Parthum & Kristin Epstein & Sandra Kutzing & Sarah Armstrong, 2024. "Factors Influencing Customer Participation in a Program to Replace Lead Pipes for Drinking Water," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(3), pages 791-832, March.
    206. Evgeny Kagan & Stephen Leider & William S. Lovejoy, 2018. "Ideation–Execution Transition in Product Development: An Experimental Analysis," Management Science, INFORMS, vol. 64(5), pages 2238-2262, May.
    207. Andrea F.M. Martinangeli & Biljana Meiske, 2022. "The influence premium of monetary rank," Working Papers tax-mpg-rps-2022-08, Max Planck Institute for Tax Law and Public Finance.
    208. Leah H. Palm-Forster & Paul J. Ferraro & Nicholas Janusch & Christian A. Vossler & Kent D. Messer, 2019. "Behavioral and Experimental Agri-Environmental Research: Methodological Challenges, Literature Gaps, and Recommendations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(3), pages 719-742, July.
    209. Hermes, Henning & Lergetporer, Philipp & Peter, Frauke & Wiederhold, Simon, 2024. "Application Barriers and the Socioeconomic Gap in Child Care Enrollment," IZA Discussion Papers 16915, Institute of Labor Economics (IZA).
    210. Luigi Butera & John List, 2017. "An Economic Approach to Alleviate the Crisis of Confidence in Science: With an Application to the Public Goods Game," Artefactual Field Experiments 00608, The Field Experiments Website.
    211. Andrew M. Davis & Rihuan Huang & Douglas J. Thomas, 2022. "Retailer Inventory Sharing in Two-Tier Supply Chains: An Experimental Investigation," Management Science, INFORMS, vol. 68(12), pages 8773-8790, December.
    212. Jeffrey Flory & Andreas Leibbrandt & John List, 2016. "Wage Contracts and Workplace Misbehaviors," Natural Field Experiments 00583, The Field Experiments Website.
    213. John Ifcher & Homa Zarghamee & Dan Houser & Lina Diaz, 2020. "The relative income effect: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1205-1234, December.
    214. Ganga Shreedhar & Susana Mourato, 2020. "Linking Human Destruction of Nature to COVID-19 Increases Support for Wildlife Conservation Policies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 963-999, August.
    215. Heinz, Matthias & Gill, Andrej & Schumacher, Heiner & Sutter, Matthias, 2020. "Trustworthiness in the Financial Industry," CEPR Discussion Papers 15147, C.E.P.R. Discussion Papers.
    216. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    217. Thibaut Arpinon & Romain Espinosa, 2023. "A practical guide to Registered Reports for economists," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 9(1), pages 90-122, June.
    218. Alain Cohn & Jan Stoop & Hatim A. Rahman, 2022. "Disinformation for Hire: Examining the Production of False COVID-19 Information," Tinbergen Institute Discussion Papers 22-086/II, Tinbergen Institute.
    219. Tetteh-Baah, Samuel Kofi & Günther, Isabel, 2020. "The impact of gender and ethnic discrimination on redistribution and productivity," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224633, Verein für Socialpolitik / German Economic Association.
    220. Kaestner, Robert & Ziedan, Engy, 2023. "Effects of prescription opioids on employment, earnings, marriage, disability and mortality: Evidence from state opioid control policies," Labour Economics, Elsevier, vol. 82(C).
    221. Daniele, Gianmarco & Martinangeli, Andrea F. M. & Passarelli, Francesco & Sas, Willem & Windsteiger, Lisa, 2023. "Regulation, Expectations, and the Erosion of Trust," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277599, Verein für Socialpolitik / German Economic Association.
    222. Mesfin, Hiwot & Cecchi, Francesco & Nillesen, Eleonora & Tirivayi, Nyasha, 2022. "The effect of siblings’ sex ratio on physical capital, human capital, and gendered time use among adolescents in Ethiopia," Economics & Human Biology, Elsevier, vol. 47(C).
    223. Alessandro Palma & Inna Petrunyk & Daniela Vuri, 2022. "Prenatal air pollution exposure and neonatal health," Health Economics, John Wiley & Sons, Ltd., vol. 31(5), pages 729-759, May.
    224. David Hardt & Lea Mayer & Johannes Rincke, 2023. "Who Does the Talking Here? The Impact of Gender Composition on Team Interactions," CESifo Working Paper Series 10550, CESifo.
    225. Mira Bierbaum & Eleonora E M Nillesen, 2021. "Sustaining the integrity of the threatened self: A cluster-randomised trial among social assistance applicants in the Netherlands," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-21, June.
    226. Elizabeth Lyons, 2016. "The Impact of Job-Specific Training on Short-Term Worker Performance: Evidence from a Field Experiment," Natural Field Experiments 00572, The Field Experiments Website.
    227. Karpowitz, Christopher F. & O'Connell, Stephen D. & Preece, Jessica & Stoddard, Olga B., 2023. "Strength in Numbers? Gender Composition, Leadership, and Women's Influence in Teams," IZA Discussion Papers 16625, Institute of Labor Economics (IZA).
    228. Kota Ogasawara & Yukitoshi Matsushita, 2019. "Heterogeneous treatment effects of safe water on infectious disease: Do meteorological factors matter?," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 13(1), pages 55-82, January.
    229. Jesper Akesson & John Gathergood & Edika Quispe-Torreblanca, 2023. "Preventing Payments Fraud in the FinTech Era: New Evidence from a Behavioural Experiment," Discussion Papers 2023-08, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    230. Michela Carlana & Eliana La Ferrara & Paolo Pinotti, 2022. "Goals and Gaps: Educational Careers of Immigrant Children," Econometrica, Econometric Society, vol. 90(1), pages 1-29, January.
    231. Hind Dib-Slamani & Gilles Grolleau & Naoufel Mzoughi, 2023. "Does a company’s origin matter in moral judgment?," Post-Print hal-03134106, HAL.
    232. Do Won Kwak & Carl Sherwood & Kam Ki Tang, 2019. "Class attendance and learning outcome," Empirical Economics, Springer, vol. 57(1), pages 177-203, July.
    233. Azevedo E Castro De Cardim,Joana & Amaro Da Costa Luz Carneiro,Pedro Manuel & Carvalho,Leandro S. & De Walque,Damien B. C. M., 2022. "Early Education, Preferences, and Decision-Making Abilities," Policy Research Working Paper Series 10187, The World Bank.
    234. Allen, James & Mahumane, Arlete & Riddell, James & Rosenblat, Tanya & Yang, Dean & Yu, Hang, 2022. "Teaching and incentives: Substitutes or complements?," Economics of Education Review, Elsevier, vol. 91(C).
    235. Libor Dušek & Nicolas Pardo & Christian Traxler, 2022. "Salience and Timely Compliance: Evidence from Speeding Tickets," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(2), pages 426-449, March.
    236. Floro, Danvee, 2019. "Testing the predictive ability of house price bubbles for macroeconomic performance: A meta-analytic approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 164-181.
    237. Marius Alt & Carlo Gallier & Achim Schlüter & Katherine Nelson & Eva Anggraini, 2018. "Giving to versus Taking from In- and Out-Group Members," Games, MDPI, vol. 9(3), pages 1-14, August.
    238. Dib-Slamani, Hind & Grolleau, Gilles & Mzoughi, Naoufel, 2022. "Robbing a robber is not robbing," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 1-7.
    239. Young, Alwyn, 2019. "Channeling Fisher: randomization tests and the statistical insignificance of seemingly significant experimental results," LSE Research Online Documents on Economics 101401, London School of Economics and Political Science, LSE Library.
    240. Armenak Antinyan & Tigran Aydinyan & Anna Ressi & Lilia Wasserka-Zhurakhovska, 2023. "An Experimental Analysis of In-Group Favoritism and Out-Group Discrimination in the Gain and Loss Domain," CESifo Working Paper Series 10606, CESifo.
    241. Alison Andrew & Orazio Attanasio & Raquel Bernal & Lina Cardona Sosa & Sonya Krutikova & Marta Rubio-Codina, 2019. "Preschool Quality and Child Development," NBER Working Papers 26191, National Bureau of Economic Research, Inc.
    242. Mequanint B. Melesse, 2021. "The effect of women's nutrition knowledge and empowerment on child nutrition outcomes in rural Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 883-899, November.
    243. Chen, Yan & Lu, Fangwen & Zhang, Jinan, 2017. "Social comparisons, status and driving behavior," Journal of Public Economics, Elsevier, vol. 155(C), pages 11-20.
    244. Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148-174.
    245. Huber, Laura Rosendahl & Sloof, Randolph & Van Praag, Mirjam, 2017. "The effect of incentives on sustainable behavior: evidence from a field experiment," Labour Economics, Elsevier, vol. 45(C), pages 92-106.
    246. Bejarano, Hernan & Gillet, Joris & Lara, Ismael Rodríguez, 2021. "When the rich do (not) trust the (newly) rich: Experimental evidence on the effects of positive random shocks in the trust game," OSF Preprints wmejt, Center for Open Science.
    247. John List, 2021. "2021 Summary Data of Artefactual Field Experiments Published on Fieldexperiments.com," Artefactual Field Experiments 00749, The Field Experiments Website.
    248. Julian Conrads & Tommaso Reggiani, 2017. "The effect of communication channels on promise-making and promise-keeping: experimental evidence," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 595-611, October.
    249. Ifcher, John & Zarghamee, Homa & Goff, Sandra H., 2021. "Happiness in the Lab: What Can Be Learned about Subjective Well-Being from Experiments?," GLO Discussion Paper Series 943, Global Labor Organization (GLO).
    250. Gallier, Carlo & Langbein, Jörg & Vance, Colin, 2018. "Non-binding Restrictions, Cooperation, and Coral Reef Protection: Experimental Evidence from Indonesian Fishing Communities," Ecological Economics, Elsevier, vol. 150(C), pages 62-71.
    251. Avner Ben-Ner & John List & Louis Putterman & Anya Samek, 2017. "Learned Generosity? An Artefactual Field Experiment with Parents and their Children," Artefactual Field Experiments 00645, The Field Experiments Website.
    252. Bartels, Lara & Werthschulte, Madeline, 2023. ""More bang for the buck"? Evidence on the effectiveness of an energy efficiency subsidy," ZEW Discussion Papers 23-022, ZEW - Leibniz Centre for European Economic Research.
    253. Pikulina, Elena S. & Tergiman, Chloe, 2020. "Preferences for power," Journal of Public Economics, Elsevier, vol. 185(C).
    254. Gary Charness & John List & Aldo Rustichini & Anya Samek & Jeroen van de Ven, 2020. "Theory of Mind among Disadvantaged Children: Evidence from a Field Experiment," Framed Field Experiments 00686, The Field Experiments Website.
    255. Yingfei Mu & Edward A. Rubin & Eric Zou, 2021. "What’s Missing in Environmental (Self-)Monitoring: Evidence from Strategic Shutdowns of Pollution Monitors," NBER Working Papers 28735, National Bureau of Economic Research, Inc.
    256. Georg F. Camehl & C. Katharina Spieß & Kurt Hahlweg, 2019. "Short- and Mid-Term Effects of a Parenting Program on Maternal Well-Being: Evidence for More and Less Advantaged Mothers," SOEPpapers on Multidisciplinary Panel Data Research 1062, DIW Berlin, The German Socio-Economic Panel (SOEP).
    257. Andersson, Henrik & Scholtz, Henrik & Zheng, Jiakun, 2023. "Measuring regret theory in the health and financial domain," TSE Working Papers 23-1449, Toulouse School of Economics (TSE).
    258. Stephen R. Barnes & Louis‐Philippe Beland & Jason Huh & Dongwoo Kim, 2022. "COVID‐19 lockdown and traffic accidents: Lessons from the pandemic," Contemporary Economic Policy, Western Economic Association International, vol. 40(2), pages 349-368, April.
    259. Emma von Essen & Marieke Huysentruyt & Topi Miettinen, 2020. "Exploration in Teams and the Encouragement Effect: Theory and Experimental Evidence," Management Science, INFORMS, vol. 66(12), pages 5861-5885, December.
    260. Luca Corazzini & Matteo M. Marini, 2022. "Focal points in multiple threshold public goods games: A single-project meta-analysis," MUNI ECON Working Papers 2022-10, Masaryk University, revised Feb 2023.
    261. Angerer, Silvia & Glätzle-Rützler, Daniela & Lergetporer, Philipp & Rittmannsberger, Thomas, 2023. "How does the vaccine approval procedure affect COVID-19 vaccination intentions?," European Economic Review, Elsevier, vol. 158(C).
    262. Gianmarco Daniele & Andrea F.M. Martinangeli & Francesco Passarelli & Willem Sas & Lisa Windsteiger, 2023. "Externalities and the Erosion of Trust," CESifo Working Paper Series 10474, CESifo.
    263. Higuchi, Yuki & Mhede, Edwin P. & Sonobe, Tetsushi, 2019. "Short- and medium-run impacts of management training: An experiment in Tanzania," World Development, Elsevier, vol. 114(C), pages 220-236.
    264. Weijia Dai & Hyunjin Kim & Michael Luca, 2016. "Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Harvard Business School Working Papers 17-025, Harvard Business School, revised Jan 2023.
    265. Boomsma, Mirthe, 2021. "On the transition to a sustainable economy : Field experimental evidence on behavioral interventions," Other publications TiSEM a0a27602-10ed-4ab1-87a5-5, Tilburg University, School of Economics and Management.
    266. Grodeck, Ben & Schoenegger, Philipp, 2023. "Demanding the morally demanding: Experimental evidence on the effects of moral arguments and moral demandingness on charitable giving," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    267. Ambler, Kate & Jones, Kelly M. & O’Sullivan, Michael, 2021. "Increasing Women's Empowerment: Implications for Family Welfare," IZA Discussion Papers 14861, Institute of Labor Economics (IZA).
    268. Sebastian Jobjörnsson & Henning Schaak & Oliver Musshoff & Tim Friede, 2023. "Improving the statistical power of economic experiments using adaptive designs," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 357-382, April.
    269. Jeffrey Flory & Andreas Leibbrandt & John List, 2017. "Using Behavioral Economics to Curb Workplace Misbehaviors: Evidence from a Natural Field Experiment," Natural Field Experiments 00617, The Field Experiments Website.
    270. James Andreoni & Michael Kuhn & John List & Anya Samek & Charles Sprenger, 2017. "Field experiments on the development of time preferences," Artefactual Field Experiments 00615, The Field Experiments Website.
    271. Vanessa Mertins & Christian Walter, 2021. "In absence of money: a field experiment on volunteer work motivation," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 952-984, September.
    272. Grieco, Daniela & Bripi, Francesco, 2022. "Participation of charity beneficiaries," Journal of Economic Behavior & Organization, Elsevier, vol. 199(C), pages 1-17.
    273. Toman Barsbai & Victoria Licuanan & Andreas Steinmayr & Erwin Tiongson & Dean Yang, 2021. "Information and Immigrant Settlement," Working Papers 2021-30, Faculty of Economics and Statistics, Universität Innsbruck.
    274. Siddique, Abu & Islam, Asad & Mozumder, Tanvir Ahmed & Rahman, Tabassum & Shatil, Tanvir, 2022. "Forced Displacement, Mental Health, and Child Development: Evidence from the Rohingya Refugees," SocArXiv b4fc7, Center for Open Science.
    275. Ujjayant Chakravorty & Manzoor H. Dar & Kyle Emerick, 2023. "Inefficient Water Pricing and Incentives for Conservation," American Economic Journal: Applied Economics, American Economic Association, vol. 15(1), pages 319-350, January.
    276. Gallier, Carlo, 2020. "Democracy and compliance in public goods games," European Economic Review, Elsevier, vol. 121(C).
    277. Brock V. Stoddard & Caleb A. Cox & James M. Walker, 2021. "Incentivizing provision of collective goods: Allocation rules," Southern Economic Journal, John Wiley & Sons, vol. 87(4), pages 1345-1365, April.
    278. Ji, Chen & Jin, Songqing & Wang, Haitao & Ye, Chunhui, 2019. "Estimating effects of cooperative membership on farmers’ safe production behaviors: Evidence from pig sector in China," Food Policy, Elsevier, vol. 83(C), pages 231-245.
    279. Robert Kaestner, 2021. "Mortality and Science: A Comment on Two Articles on the Effects of Health Insurance on Mortality," Econ Journal Watch, Econ Journal Watch, vol. 18(2), pages 192–211-1, September.
    280. Saulı̄tis, Andris, 2023. "Nudging debtors with non-performing loans: Evidence from three field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    281. John List, 2022. "Framed Field Experiments: 2021 Summary on Fieldexperiments.com," Framed Field Experiments 00752, The Field Experiments Website.
    282. Zhang, Jinan & Perloff, Jeffrey M. & Lu, Fangwen, 2020. "Informing and inquiring: Experimental evidence on reducing traffic violations," Journal of Development Economics, Elsevier, vol. 147(C).
    283. Bao, Zhengyang & Kalaycı, Kenan & Leibbrandt, Andreas & Oyarzun, Carlos, 2020. "Do regulations work? A comprehensive analysis of price limits and trading restrictions in experimental asset markets with deterministic and stochastic fundamental values," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 59-84.
    284. Riener, Gerhard & Wagner, Valentin, 2017. "Shying away from demanding tasks? Experimental evidence on gender differences in answering multiple-choice questions," Economics of Education Review, Elsevier, vol. 59(C), pages 43-62.
    285. Sebastian Goerg & Andreas Pondorfer & Valentina Stöhr, 2023. "Public support for more ambitious climate policies," Munich Papers in Political Economy 30, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    286. Segovia, Michelle S. & Palma, Marco A. & Nayga, Rodolfo M., 2020. "Can episodic future thinking affect food choices?," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 371-389.
    287. Francisco Scott, 2023. "An Experimental Analysis of Quality Misperception in Food Labels," Research Working Paper RWP 23-11, Federal Reserve Bank of Kansas City.

  18. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2012. "On the testability of identification in some nonparametric models with endogeneity," CeMMAP working papers 18/12, Institute for Fiscal Studies.

    Cited by:

    1. Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
    2. Rodrigo Adao & Arnaud Costinot & Dave Donaldson, 2017. "Nonparametric Counterfactual Predictions in Neoclassical Models of International Trade," American Economic Review, American Economic Association, vol. 107(3), pages 633-689, March.
    3. Babii, Andrii, 2020. "Honest Confidence Sets In Nonparametric Iv Regression And Other Ill-Posed Models," Econometric Theory, Cambridge University Press, vol. 36(4), pages 658-706, August.
    4. 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.
    5. 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.
    6. Chen, Qihui, 2021. "Robust and optimal estimation for partially linear instrumental variables models with partial identification," Journal of Econometrics, Elsevier, vol. 221(2), pages 368-380.
    7. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    8. Juan Carlos Escanciano & Wei Li, 2018. "Optimal Linear Instrumental Variables Approximations," Papers 1805.03275, arXiv.org, revised Feb 2020.
    9. Marinho Bertanha & Marcelo J. Moreira, 2016. "Impossible Inference in Econometrics: Theory and Applications," Papers 1612.02024, arXiv.org, revised Feb 2020.
    10. Marek Jarocinski & Albert Marcet, 2013. "Priors about Observables in Vector Autoregressions," UFAE and IAE Working Papers 929.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    11. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
    12. 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.
    13. Hidehiko Ichimura & Whitney K. Newey, 2022. "The influence function of semiparametric estimators," Quantitative Economics, Econometric Society, vol. 13(1), pages 29-61, January.
    14. Rodrigo Adao & Costas Arkolakis & Sharat Ganapati, 2020. "Aggregate Implications of Firm Heterogeneity: A Nonparametric Analysis of Monopolistic Competition Trade Models," Cowles Foundation Discussion Papers 2265, Cowles Foundation for Research in Economics, Yale University.
    15. Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric Instrumental Variable Estimation Under Monotonicity," Econometrica, Econometric Society, vol. 85, pages 1303-1320, July.
    16. Krief, Jerome M., 2017. "Direct instrumental nonparametric estimation of inverse regression functions," Journal of Econometrics, Elsevier, vol. 201(1), pages 95-107.
    17. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers CWP34/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Andrews, Donald W.K., 2017. "Examples of L2-complete and boundedly-complete distributions," Journal of Econometrics, Elsevier, vol. 199(2), pages 213-220.
    19. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers CWP40/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers 37/13, Institute for Fiscal Studies.
    21. Caetano, Carolina & Rothe, Christoph & Yıldız, Neşe, 2016. "A discontinuity test for identification in triangular nonseparable models," Journal of Econometrics, Elsevier, vol. 193(1), pages 113-122.
    22. Andrew Chesher & Adam Rosen, 2013. "Generalized instrumental variable models," CeMMAP working papers CWP43/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Robust inference in deconvolution," Quantitative Economics, Econometric Society, vol. 12(1), pages 109-142, January.
    24. Wang, Ao, 2021. "A BLP Demand Model of Product-Level Market Shares with Complementarity," The Warwick Economics Research Paper Series (TWERPS) 1351, University of Warwick, Department of Economics.
    25. Patrick M. Kline & Enrico Moretti, 2013. "Local Economic Development, Agglomeration Economies, and the Big Push: 100 Years of Evidence from the Tennessee Valley Authority," NBER Working Papers 19293, National Bureau of Economic Research, Inc.
    26. Christoph Breunig & Peter Haan, 2018. "Nonparametric Regression with Selectively Missing Covariates," Papers 1810.00411, arXiv.org, revised Oct 2020.
    27. Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2023. "Constrained Conditional Moment Restriction Models," Econometrica, Econometric Society, vol. 91(2), pages 709-736, March.
    28. Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 39/15, Institute for Fiscal Studies.
    29. Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.
    30. Joachim Freyberger & Joel L. Horowitz, 2012. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 15/12, Institute for Fiscal Studies.
    31. Cui, Liyuan & Hong, Yongmiao & Li, Yingxing, 2021. "Solving Euler equations via two-stage nonparametric penalized splines," Journal of Econometrics, Elsevier, vol. 222(2), pages 1024-1056.
    32. Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers CWP37/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    33. Centorrino Samuele & Feve Frederique & Florens Jean-Pierre, 2017. "Additive Nonparametric Instrumental Regressions: A Guide to Implementation," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-25, January.
    34. Yu Zhu, 2020. "Inference in nonparametric/semiparametric moment equality models with shape restrictions," Quantitative Economics, Econometric Society, vol. 11(2), pages 609-636, May.
    35. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    36. Hu, Yingyao & Schennach, Susanne & Shiu, Ji-Liang, 2022. "Identification of nonparametric monotonic regression models with continuous nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 226(2), pages 269-294.
    37. Daniel Wilhelm, 2019. "Testing for the presence of measurement error," CeMMAP working papers CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    38. Jason R. Blevins & Wei Shi & Donald R. Haurin & Stephanie Moulton, 2020. "A Dynamic Discrete Choice Model Of Reverse Mortgage Borrower Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1437-1477, November.
    39. Hu, Yingyao & Schennach, Susanne M. & Shiu, Ji-Liang, 2017. "Injectivity of a class of integral operators with compactly supported kernels," Journal of Econometrics, Elsevier, vol. 200(1), pages 48-58.
    40. 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.
    41. Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 48/16, Institute for Fiscal Studies.
    42. S. Centorrino & J. S. Racine, 2016. "Semiparametric Varying Coefficient Models with Endogenous Covariates," Department of Economics Working Papers 2016-02, McMaster University.
    43. Loh, Isaac, 2023. "Genericity of the completeness condition with constrained instruments," Economics Letters, Elsevier, vol. 224(C).
    44. Nail Kashaev, 2022. "Identification and Estimation of Multinomial Choice Models with Latent Special Covariates," University of Western Ontario, Departmental Research Report Series 20224, University of Western Ontario, Department of Economics.
    45. Joachim Freyberger & Joel L. Horowitz, 2013. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 31/13, Institute for Fiscal Studies.
    46. Ben Deaner, 2019. "Nonparametric Instrumental Variables Estimation Under Misspecification," Papers 1901.01241, arXiv.org, revised Dec 2022.
    47. Andrew Bennett & Nathan Kallus & Xiaojie Mao & Whitney Newey & Vasilis Syrgkanis & Masatoshi Uehara, 2022. "Inference on Strongly Identified Functionals of Weakly Identified Functions," Papers 2208.08291, arXiv.org, revised Jun 2023.
    48. Sasaki, Yuya, 2015. "Heterogeneity and selection in dynamic panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 236-249.
    49. 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.
    50. Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
    51. Yilin Li & Wang Miao & Ilya Shpitser & Eric J. Tchetgen Tchetgen, 2023. "A self‐censoring model for multivariate nonignorable nonmonotone missing data," Biometrics, The International Biometric Society, vol. 79(4), pages 3203-3214, December.
    52. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    53. Hu, Yingyao & Yao, Jiaxiong, 2022. "Illuminating economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 359-378.

  19. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2012. "A practical two-step method for testing moment inequalities," ECON - Working Papers 090, Department of Economics - University of Zurich, revised Apr 2014.

    Cited by:

    1. Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2016. "Testing many moment inequalities," CeMMAP working papers CWP42/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. 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.
    3. Joel L. Horowitz & Sokbae (Simon) Lee, 2015. "Nonparametric estimation and inference under shape restrictions," CeMMAP working papers CWP67/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. 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.
    5. 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.
    6. de Chaisemartin, Clement & D'Haultfoeuille, Xavier, "undated". "Supplement to Fuzzy Differences-in-Differences," Economic Research Papers 270217, University of Warwick - Department of Economics.
    7. Clément de Chaisemartin, 2012. "Fuzzy differences in differences," Working Papers halshs-00671368, HAL.
    8. Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 64/15, Institute for Fiscal Studies.
    9. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large Bayesian game with heterogeneous beliefs," Journal of Econometrics, Elsevier, vol. 237(1).
    10. Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 49/17, Institute for Fiscal Studies.
    11. Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018. "Inference on winners," CeMMAP working papers CWP31/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," NBER Working Papers 29291, National Bureau of Economic Research, Inc.
    13. Filip Obradovi'c, 2022. "Measuring Diagnostic Test Performance Using Imperfect Reference Tests: A Partial Identification Approach," Papers 2204.00180, arXiv.org, revised Feb 2023.
    14. Jorg Stoye, 2020. "A Simple, Short, but Never-Empty Confidence Interval for Partially Identified Parameters," Papers 2010.10484, arXiv.org, revised Dec 2020.
    15. Zeng-Hua Lu, 2020. "Bahadur intercept with applications to one-sided testing," Statistical Papers, Springer, vol. 61(2), pages 645-658, April.
    16. Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2020. "Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries," RF Berlin - CReAM Discussion Paper Series 2008, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    17. David M. Kaplan & Wei Zhao, 2022. "Comparing Latent Inequality with Ordinal Data," Working Papers 2206, Department of Economics, University of Missouri.
    18. Yanchun Jin & Ryo Okui, 2020. "Testing for overconfidence statistically: A moment inequality approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 879-892, November.
    19. David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
    20. 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.
    21. Aradillas-López, Andrés & Rosen, Adam M., 2022. "Inference in ordered response games with complete information," Journal of Econometrics, Elsevier, vol. 226(2), pages 451-476.
    22. Zeng-Hua Lu & Alec Zuo, 2017. "Child disability, welfare payments, marital status and mothers’ labor supply: Evidence from Australia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1339769-133, January.
    23. Timmermann, Allan & Qu, Ritong & Zhu, Yinchu, 2019. "Do Any Economists Have Superior Forecasting Skills?," CEPR Discussion Papers 14112, C.E.P.R. Discussion Papers.
    24. Chenyu Yang, 2017. "Could Vertical Integration Increase Innovation?," 2017 Meeting Papers 908, Society for Economic Dynamics.
    25. Marine Carrasco & N'Golo Koné, 2023. "Test for Trading Costs Effect in a Portfolio Selection Problem with Recursive Utility," CIRANO Working Papers 2023s-03, CIRANO.
    26. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    27. Oliver R. Cutbill & Rami V. Tabri, 2022. "The Impossibility of Testing for Dependence Using Kendall’s Ƭ Under Missing Data of Unknown Form," Working Papers 2022-03, University of Sydney, School of Economics.
    28. Andrew Chesher & Adam Rosen, 2013. "Generalized instrumental variable models," CeMMAP working papers CWP43/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    30. Gregory Cox & Xiaoxia Shi, 2019. "Simple Adaptive Size-Exact Testing for Full-Vector and Subvector Inference in Moment Inequality Models," Papers 1907.06317, arXiv.org, revised Aug 2020.
    31. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov, 2017. "A Random Attention Model," Papers 1712.03448, arXiv.org, revised Aug 2019.
    32. Christian Bontemps & Rohit Kumar, 2020. "A Geometric Approach to Inference in Set-Identified Entry Games," Post-Print hal-02137356, HAL.
    33. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2015. "Inference for functions of partially identified parameters in moment inequality models," CeMMAP working papers CWP54/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    34. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    35. Le-Yu Chen & Jerzy Szroeter, 2012. "Testing multiple inequality hypotheses: a smoothed indicator approach," CeMMAP working papers CWP16/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    36. 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.
    37. John Asker & Chaim Fershtman & Jihye Jeon & Ariel Pakes, 2016. "The Competitive Effects of Information Sharing," NBER Working Papers 22836, National Bureau of Economic Research, Inc.
    38. Adam McCloskey, 2012. "Bonferroni-Based Size-Correction for Nonstandard Testing Problems," Working Papers 2012-16, Brown University, Department of Economics.
    39. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
    40. Federico A. Bugni & Mehmet Caner & Anders Bredahl Kock & Soumendra Lahiri, 2016. "Inference in partially identified models with many moment inequalities using Lasso," CREATES Research Papers 2016-12, Department of Economics and Business Economics, Aarhus University.
    41. Ryo Okui, 2021. "A moment inequality approach to statistical inference for rankings," The Japanese Economic Review, Springer, vol. 72(2), pages 169-184, April.
    42. Joseph P. Romano & Michael Wolf, 2017. "Multiple testing of one-sided hypotheses: combining Bonferroni and the bootstrap," ECON - Working Papers 254, Department of Economics - University of Zurich.
    43. Victor Chernozhukov & Denis Chetverikov & Kengo Kato & Yuta Koike, 2019. "Improved Central Limit Theorem and bootstrap approximations in high dimensions," Papers 1912.10529, arXiv.org, revised May 2022.
    44. Allen, Roy, 2018. "Testing moment inequalities: Selection versus recentering," Economics Letters, Elsevier, vol. 162(C), pages 124-126.
    45. Rami V. Tabri & Christopher D. Walker, 2020. "Inference for Moment Inequalities: A Constrained Moment Selection Procedure," Papers 2008.09021, arXiv.org, revised Aug 2020.
    46. Zheng Fang, 2021. "A Unifying Framework for Testing Shape Restrictions," Papers 2107.12494, arXiv.org, revised Aug 2021.
    47. Dzemski, Andreas & Okui, Ryo, 2018. "Confidence Set for Group Membership," Working Papers in Economics 727, University of Gothenburg, Department of Economics.
    48. Christian Bontemps & Thierry Magnac, 2017. "Set Identification, Moment Restrictions, and Inference," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
    49. Holger Dette & Martin Schumann, 2023. "Testing for equivalence of pre-trends in Difference-in-Differences estimation," Papers 2310.15796, arXiv.org.
    50. Wang, Wenjie & Doko Tchatoka, Firmin, 2018. "On Bootstrap inconsistency and Bonferroni-based size-correction for the subset Anderson–Rubin test under conditional homoskedasticity," Journal of Econometrics, Elsevier, vol. 207(1), pages 188-211.
    51. Hiroaki Kaido & Jiaxuan Li & Marc Rysman, 2018. "Moment Inequalities in the Context of Simulated and Predicted Variables," Papers 1804.03674, arXiv.org.
    52. Sasaki, Yuya & Takahashi, Yuya & Xin, Yi & Hu, Yingyao, 2023. "Dynamic discrete choice models with incomplete data: Sharp identification," Journal of Econometrics, Elsevier, vol. 236(1).
    53. Evan K. Rose & Yotam Shem-Tov, 2021. "On Recoding Ordered Treatments as Binary Indicators," Papers 2111.12258, arXiv.org, revised Mar 2024.
    54. Fan, Yanqin & Shi, Xuetao, 2023. "Wald, QLR, and score tests when parameters are subject to linear inequality constraints," Journal of Econometrics, Elsevier, vol. 235(2), pages 2005-2026.
    55. Michael P. Leung & Hyungsik Roger Moon, 2019. "Normal Approximation in Large Network Models," Papers 1904.11060, arXiv.org, revised Feb 2023.
    56. Andreas Dzemski & Ryo Okui, 2017. "Confidence set for group membership," Papers 1801.00332, arXiv.org, revised Nov 2023.

  20. Heckman, James J. & Pinto, Rodrigo & Shaikh, Azeem M. & Yavitz, Adam, 2011. "Inference with Imperfect Randomization: The Case of the Perry Preschool Program," IZA Discussion Papers 5625, Institute of Labor Economics (IZA).

    Cited by:

    1. Aviva Aron-Dine & Liran Einav & Amy Finkelstein, 2013. "The RAND Health Insurance Experiment, Three Decades Later," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 197-222, Winter.
    2. Sneha Elango & Jorge Luis García & James J. Heckman & Andrés Hojman, 2015. "Early Childhood Education," NBER Working Papers 21766, National Bureau of Economic Research, Inc.
    3. Yuehao Bai & Joseph P. Romano & Azeem M. Shaikh, 2022. "Inference in Experiments With Matched Pairs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(540), pages 1726-1737, October.
    4. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
    5. James J. Heckman & Ganesh Karapakula, 2019. "The Perry Preschoolers at Late Midlife: A Study in Design-Specific Inference," Working Papers 2019-034, Human Capital and Economic Opportunity Working Group.
    6. Zhao, Anqi & Ding, Peng, 2021. "Covariate-adjusted Fisher randomization tests for the average treatment effect," Journal of Econometrics, Elsevier, vol. 225(2), pages 278-294.
    7. Aminou Arouna & Jeffrey D. Michler & Jourdain C. Lokossou, 2019. "Contract Farming and Rural Transformation: Evidence from a Field Experiment in Benin," NBER Working Papers 25665, National Bureau of Economic Research, Inc.
    8. Fougère, Denis & Filatriau, Olivier & Tô, Maxime, 2013. "Will Sooner Be Better? The Impact of Early Preschool Enrollment on Cognitive and Noncognitive Achievement of Children," CEPR Discussion Papers 9480, C.E.P.R. Discussion Papers.
    9. Ganesh Karapakula & James J. Heckman, 2020. "Using a Satisficing Model of Experimenter Decision-Making to Guide Finite-Sample Inference for Compromised Experiments," NBER Working Papers 27738, National Bureau of Economic Research, Inc.
    10. Asoni, Andrea, 2011. "Intelligence, Self-confidence and Entrepreneurship," Working Paper Series 887, Research Institute of Industrial Economics.
    11. John List & Azeem Shaikh & Yang Xu, 2016. "Multiple Hypothesis Testing in Experimental Economics," Artefactual Field Experiments 00402, The Field Experiments Website.
    12. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    13. Daniela Del Boca & Christopher Flinn & Matthew Wiswall, 2016. "Transfers to Households with Children and Child Development," Economic Journal, Royal Economic Society, vol. 126(596), pages 136-183, October.
    14. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization," CeMMAP working papers 25/17, Institute for Fiscal Studies.

  21. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Consonance and the closure method in multiple testing," IEW - Working Papers 446, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    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. Michael Rosenblum & Han Liu & En-Hsu Yen, 2014. "Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, Using Sparse Linear Programming," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 1216-1228, September.
    3. Zeng-Hua Lu, 2019. "Extended MinP Tests of Multiple Hypotheses," Papers 1911.04696, arXiv.org.
    4. Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "A model of multiple hypothesis testing," Papers 2104.13367, arXiv.org, revised Apr 2024.
    5. Chung, EunYi & Romano, Joseph P., 2016. "Multivariate and multiple permutation tests," Journal of Econometrics, Elsevier, vol. 193(1), pages 76-91.
    6. Ruth Heller & Abba Krieger & Saharon Rosset, 2023. "Optimal multiple testing and design in clinical trials," Biometrics, The International Biometric Society, vol. 79(3), pages 1908-1919, September.
    7. Zeng-Hua Lu, 2016. "Extended MaxT Tests of One-Sided Hypotheses," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 423-437, March.
    8. Quynh Van Nong & Chi Tim Ng, 2021. "Clustering of subsample means based on pairwise L1 regularized empirical likelihood," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 73(1), pages 135-174, February.
    9. Giuseppe Cavaliere & Zeng-Hua Lu & Anders Rahbek & Yuhong Yang, 2021. "MinP Score Tests with an Inequality Constrained Parameter Space," Papers 2107.06089, arXiv.org.

  22. Yuichi Kitamura & Andres Santos & Azeem M. Shaikh, 2009. "On the Asymptotic Optimality of Empirical Likelihood for Testing Moment Restrictions," Cowles Foundation Discussion Papers 1722, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Marmer, Vadim & Otsu, Taisuke, 2008. "Optimal Comparison of Misspecified Moment Restriction Models under a Chosen Measure of Fit," Microeconomics.ca working papers vadim_marmer-2008-13, Vancouver School of Economics, revised 25 Jul 2011.
    2. Otsu, Taisuke, 2010. "On Bahadur efficiency of empirical likelihood," Journal of Econometrics, Elsevier, vol. 157(2), pages 248-256, August.
    3. De Silva, Dakshina G. & Hubbard, Timothy P. & Schiller, Anita R. & Tsionas, Mike G., 2023. "Estimating outcomes in the presence of endogeneity and measurement error with an application to R&D," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 278-294.
    4. Zeng-Hua Lu, 2020. "Bahadur intercept with applications to one-sided testing," Statistical Papers, Springer, vol. 61(2), pages 645-658, April.
    5. Guggenberger, Patrik, 2012. "A note on the (in)consistency of the test of overidentifying restrictions and the concepts of true and pseudo-true parameters," Economics Letters, Elsevier, vol. 117(3), pages 901-904.
    6. Hsin‐wen Chang & Ian W. McKeague, 2022. "Empirical likelihood‐based inference for functional means with application to wearable device data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(5), pages 1947-1968, November.
    7. 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.
    8. Canay, Ivan A. & Otsu, Taisuke, 2012. "Hodges–Lehmann optimality for testing moment conditions," Journal of Econometrics, Elsevier, vol. 171(1), pages 45-53.
    9. 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.
    10. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.

  23. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Hypothesis testing in econometrics," IEW - Working Papers 444, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. Lydia Mechtenberg & Gerd Muehlheusser & Andreas Roider, 2017. "Whistle-Blower Protection: Theory and Experimental Evidence," CESifo Working Paper Series 6394, CESifo.
    2. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    3. Michelle Marcus & Pedro H. C. Sant’Anna, 2021. "The Role of Parallel Trends in Event Study Settings: An Application to Environmental Economics," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(2), pages 235-275.
    4. Susanne M. Schennach & Daniel Wilhelm, 2014. "A simple parametric model selection test," CeMMAP working papers 10/14, Institute for Fiscal Studies.
    5. 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.
    6. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "Coverage Error Optimal Confidence Intervals for Local Polynomial Regression," Papers 1808.01398, arXiv.org, revised Jul 2021.
    7. Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2015. "Behavioral influences in non-ferrous metals prices," Resources Policy, Elsevier, vol. 45(C), pages 9-22.
    8. Holger Dette & Stefan Hoderlein & Natalie Neumeyer, 2013. "Testing Multivariate Economic Restrictions Using Quantiles: The Example of Slutsky Negative Semidefiniteness," Boston College Working Papers in Economics 836, Boston College Department of Economics.
    9. Zeng-Hua Lu, 2020. "Bahadur intercept with applications to one-sided testing," Statistical Papers, Springer, vol. 61(2), pages 645-658, April.
    10. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
    11. 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.
    12. Woutersen, Tiemen & Hausman, Jerry A., 2019. "Increasing the power of specification tests," Journal of Econometrics, Elsevier, vol. 211(1), pages 166-175.
    13. Michel André Maréchal & Christian Thöni, 2016. "Hidden persuaders: do small gifts lubricate business negotiations?," ECON - Working Papers 227, Department of Economics - University of Zurich, revised May 2018.
    14. Clarke, Damian & Romano, Joseph P. & Wolf, Michael, 2019. "The Romano-Wolf Multiple Hypothesis Correction in Stata," IZA Discussion Papers 12845, Institute of Labor Economics (IZA).
    15. Orla Doyle & Colm Harmon & James J. Heckman & Caitroina Logue & Seong Hyeok Moon, 2013. "Measuring Investment in Human Capital Formation: An Experimental Analysis of Early Life Outcomes," Working Papers 2013-007, Human Capital and Economic Opportunity Working Group.
    16. García-Uribe, Sandra, 2022. "Multidimensional media slant: Complementarities in news reporting by US newspapers," Information Economics and Policy, Elsevier, vol. 61(C).
    17. Cummins, Mark, 2013. "EU ETS market interactions: The case for multiple hypothesis testing approaches," Applied Energy, Elsevier, vol. 111(C), pages 701-709.
    18. Roland G. Fryer, Jr & Meghan Howard Noveck, 2017. "High-Dosage Tutoring and Reading Achievement: Evidence from New York City," NBER Working Papers 23792, National Bureau of Economic Research, Inc.
    19. Doyle, Orla & Harmon, Colm & Heckman, James J. & Logue, Caitriona & Moon, Seong Hyeok, 2017. "Early skill formation and the efficiency of parental investment: A randomized controlled trial of home visiting," Labour Economics, Elsevier, vol. 45(C), pages 40-58.
    20. Zeng-Hua Lu & Alec Zuo, 2017. "Child disability, welfare payments, marital status and mothers’ labor supply: Evidence from Australia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1339769-133, January.
    21. Cummins, Mark & Garry, Oonagh & Kearney, Claire, 2014. "Price discovery analysis of green equity indices using robust asymmetric vector autoregression," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 261-267.
    22. Bartel, Ann P. & Rossin-Slater, Maya & Ruhm, Christopher J. & Slopen, Meredith & Waldfogel, Jane, 2021. "The Impact of Paid Family Leave on Employers: Evidence from New York," IZA Discussion Papers 14262, Institute of Labor Economics (IZA).
    23. Argyro Avgoustaki & Hans T. W. Frankort, 2019. "Implications of Work Effort and Discretion for Employee Well-Being and Career-Related Outcomes: An Integrative Assessment," ILR Review, Cornell University, ILR School, vol. 72(3), pages 636-661, May.
    24. Meta Brown & John Grigsby & Wilbert Van der Klaauw & Jaya Wen & Basit Zafar, 2013. "Financial education and the debt behavior of the young," Staff Reports 634, Federal Reserve Bank of New York.
    25. Allegretto, Sylvia & Nadler, Carl, 2020. "Minimum Wages and Health: A Reassessment," Institute for Research on Labor and Employment, Working Paper Series qt98f1p6h7, Institute of Industrial Relations, UC Berkeley.
    26. James J. Heckman & Rodrigo Pinto & Azeem M. Shaikh & Adam Yavitz, 2011. "Inference with Imperfect Randomization: The Case of the Perry Preschool Program," NBER Working Papers 16935, National Bureau of Economic Research, Inc.
    27. Heckman, James J. & Pinto, Rodrigo & Shaikh, Azeem M., 2023. "Dealing With Imperfect Randomization: Inference for the Highscope Perry Preschool Program," IZA Discussion Papers 16675, Institute of Labor Economics (IZA).
    28. Zeng-Hua Lu, 2019. "Extended MinP Tests of Multiple Hypotheses," Papers 1911.04696, arXiv.org.
    29. Berk, Ales S. & Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2017. "Psychological price barriers in frontier equities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 49(C), pages 1-14.
    30. Takasaki, Yoshito, 2020. "Impacts of disability on poverty: Quasi-experimental evidence from landmine amputees in Cambodia," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 85-107.
    31. Ganesh Karapakula & James J. Heckman, 2020. "Using a Satisficing Model of Experimenter Decision-Making to Guide Finite-Sample Inference for Compromised Experiments," NBER Working Papers 27738, National Bureau of Economic Research, Inc.
    32. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A high-frequency analysis of price resolution and pricing barriers in equities on the adoption of a new currency," Applied Economics, Taylor & Francis Journals, vol. 50(36), pages 3949-3965, August.
    33. Biewen, Martin & Fitzenberger, Bernd & Seckler, Matthias, 2020. "Counterfactual quantile decompositions with selection correction taking into account Huber/Melly (2015): An application to the German gender wage gap," Labour Economics, Elsevier, vol. 67(C).
    34. Ciampi, Francesco, 2015. "Corporate governance characteristics and default prediction modeling for small enterprises. An empirical analysis of Italian firms," Journal of Business Research, Elsevier, vol. 68(5), pages 1012-1025.
    35. Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The sorted effects method: discovering heterogeneous effects beyond their averages," CeMMAP working papers CWP74/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    36. Daniel Borup & Martin Thyrsgaard, 2017. "Statistical tests for equal predictive ability across multiple forecasting methods," CREATES Research Papers 2017-19, Department of Economics and Business Economics, Aarhus University.
    37. Cortés, Darwin & Maldonado, Darío & Gallego, Juan & Charpak, Nathalie & Tessier, Rejean & Ruiz, Juan Gabriel & Hernandez, José Tiberio & Uriza, Felipe & Pico, Julieth, 2022. "Comparing long-term educational effects of two early childhood health interventions," Journal of Health Economics, Elsevier, vol. 86(C).
    38. Yoshito Takasaki, 2019. "Disability and Poverty: Landmine Amputees in Cambodia," CIRJE F-Series CIRJE-F-1118, CIRJE, Faculty of Economics, University of Tokyo.
    39. Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "A model of multiple hypothesis testing," Papers 2104.13367, arXiv.org, revised Apr 2024.
    40. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    41. Joachim Freyberger & Joel L. Horowitz, 2012. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 15/12, Institute for Fiscal Studies.
    42. Neckermann, Susanne & Turmunkh, Uyanga & van Dolder, Dennie & Wang, Tong V., 2022. "Nudging student participation in online evaluations of teaching: Evidence from a field experiment," European Economic Review, Elsevier, vol. 141(C).
    43. Lindsey Lacey, 2023. "The physical and mental health returns of Head Start 25 years after participation: Evidence from income eligibility cutoffs," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 870-890, October.
    44. Dowling, Michael & Cummins, Mark & Lucey, Brian M., 2016. "Psychological barriers in oil futures markets," Energy Economics, Elsevier, vol. 53(C), pages 293-304.
    45. Miguel A Delgado & Andrés García-Suaza & Pedro H C Sant’Anna, 2022. "Distribution regression in duration analysis: an application to unemployment spells [Lecture notes in statistics: Proceedings]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 675-698.
    46. esposito, francesco paolo & cummins, mark, 2015. "Multiple hypothesis testing of market risk forecasting models," MPRA Paper 64986, University Library of Munich, Germany.
    47. Kearney, Fearghal & Cummins, Mark & Murphy, Finbarr, 2014. "Outperformance in exchange-traded fund pricing deviations: Generalized control of data snooping bias," Journal of Financial Markets, Elsevier, vol. 19(C), pages 86-109.
    48. Sandra García-Uribe, 2018. "Multidimensional media slant: complementarities in news reporting by US newspapers," Working Papers 1817, Banco de España.
    49. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    50. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A High-Frequency Analysis of Price Resolution and Pricing Barriers in Equities on the Adoption of a New Currency," Post-Print hal-01994666, HAL.
    51. Zhao, Junguang & Xu, Xingzhong, 2016. "A generalized likelihood ratio test for normal mean when p is greater than n," Computational Statistics & Data Analysis, Elsevier, vol. 99(C), pages 91-104.
    52. Szklo, Michel & Clarke, Damian & Rocha, Rudi, 2024. "Does Increasing Public Spending in Health Improve Health? Lessons from a Constitutional Reform in Brazil," IZA Discussion Papers 16829, Institute of Labor Economics (IZA).
    53. Mark Cummins & Andrea Bucca, 2012. "Quantitative spread trading on crude oil and refined products markets," Quantitative Finance, Taylor & Francis Journals, vol. 12(12), pages 1857-1875, December.
    54. Bentivoglio, D. & Bucci, G. & Finco, A., 2018. "Factor affecting the palm oil boom in Indonesia: a time series analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277129, International Association of Agricultural Economists.
    55. Shen, Yanfeng & Lin, Zhengyan & Zhu, Jun, 2011. "Shrinkage-based regularization tests for high-dimensional data with application to gene set analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2221-2233, July.
    56. Do Won Kwak & Carl Sherwood & Kam Ki Tang, 2019. "Class attendance and learning outcome," Empirical Economics, Springer, vol. 57(1), pages 177-203, July.
    57. Joachim Freyberger & Joel L. Horowitz, 2013. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 31/13, Institute for Fiscal Studies.
    58. Deeney, Peter & Cummins, Mark & Dowling, Michael & Bermingham, Adam, 2015. "Sentiment in oil markets," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 179-185.
    59. Dennis Fredriksen & Christian N. Brinch & Ola L. Vestad, 2017. "Life expectancy and claiming behavior in a flexible pension system," Discussion Papers 859, Statistics Norway, Research Department.
    60. Babcock, Philip & Bedard, Kelly & Fischer, Stefanie & Hartman, John, 2020. "Coordination and contagion: Individual connections and peer mechanisms in a randomized field experiment," Journal of Public Economics, Elsevier, vol. 185(C).
    61. Brownlees, Christian & Souza, André B.M., 2021. "Backtesting global Growth-at-Risk," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 312-330.
    62. Krauss, Christopher, 2015. "Statistical arbitrage pairs trading strategies: Review and outlook," FAU Discussion Papers in Economics 09/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    63. 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.
    64. Giuseppe Cavaliere & Zeng-Hua Lu & Anders Rahbek & Yuhong Yang, 2021. "MinP Score Tests with an Inequality Constrained Parameter Space," Papers 2107.06089, arXiv.org.

  24. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2008. "Control of the False Discovery Rate under Dependence using the Bootstrap and Subsampling," IEW - Working Papers 337, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. Yu-Min Yen, 2013. "Testing Jumps via False Discovery Rate Control," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-15, April.
    2. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
    3. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
    4. Galizzi, Matteo M. & Navarro-Martínez, Daniel, 2019. "On the external validity of social preference games: a systematic lab-field study," LSE Research Online Documents on Economics 84088, London School of Economics and Political Science, LSE Library.
    5. Christophe Hurlin & Sébastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2017. "Risk Measure Inference," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 499-512, October.
    6. Smeekes, S., 2011. "Bootstrap sequential tests to determine the stationary units in a panel," Research Memorandum 003, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    7. Hassler Uwe & Werkmann Verena, 2014. "Multiple Comparisons and Joint Significance in Panel Unit Root Testing with Evidence on International Interest Rate Linkage," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(1), pages 23-43, February.
    8. Hyungsik Roger Moon & Benoit Perron, 2011. "Beyond Panel Unit Root Tests: Using Multiple Testing to Determine the Non Stationarity Properties of Individual Series in a Panel," CIRANO Working Papers 2011s-17, CIRANO.
    9. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Hypothesis testing in econometrics," IEW - Working Papers 444, Institute for Empirical Research in Economics - University of Zurich.
    10. Laurini, Márcio Poletti & Sanvicente, Antônio Zoratto & Monteiro, Rogério da Costa, 2011. "Generalized Tests of Investment Fund Performance," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(2), December.
    11. Becker William & Paruolo Paolo & Saltelli Andrea, 2021. "Variable Selection in Regression Models Using Global Sensitivity Analysis," Journal of Time Series Econometrics, De Gruyter, vol. 13(2), pages 187-233, July.
    12. Roland G. Fryer, Jr. & Steven D. Levitt & John A. List, 2015. "Parental Incentives and Early Childhood Achievement: A Field Experiment in Chicago Heights," NBER Working Papers 21477, National Bureau of Economic Research, Inc.
    13. Campbell R. Harvey & Yan Liu, 2022. "Luck versus Skill in the Cross Section of Mutual Fund Returns: Reexamining the Evidence," Journal of Finance, American Finance Association, vol. 77(3), pages 1921-1966, June.
    14. Deckers, Thomas & Hanck, Christoph, 2009. "Multiple Testing Techniques in Growth Econometrics," MPRA Paper 17843, University Library of Munich, Germany.
    15. Bryan D. MacGregor & Rainer Schulz & Yuan Zhao, 2021. "Performance and Market Maturity in Mutual Funds: Is Real Estate Different?," The Journal of Real Estate Finance and Economics, Springer, vol. 63(3), pages 437-492, October.
    16. de Uña-Alvarez Jacobo, 2012. "The Beta-Binomial SGoF method for multiple dependent tests," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(3), pages 1-32, May.
    17. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.
    18. Christopher J. Bennett, 2009. "p-Value Adjustments for Asymptotic Control of the Generalized Familywise Error Rate," Vanderbilt University Department of Economics Working Papers 0905, Vanderbilt University Department of Economics.
    19. Westerlund, Joakim & Thuraisamy, Kannan & Sharma, Susan, 2015. "On the use of panel cointegration tests in energy economics," Energy Economics, Elsevier, vol. 50(C), pages 359-363.
    20. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Stephan Smeekes, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 398-415, May.
    21. John List & Azeem Shaikh & Yang Xu, 2016. "Multiple Hypothesis Testing in Experimental Economics," Artefactual Field Experiments 00402, The Field Experiments Website.
    22. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    23. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Journal of Finance, American Finance Association, vol. 75(5), pages 2503-2553, October.
    24. Ferreira José A. & Berkhof Johannes & Souverein Olga & Zwinderman Koos, 2009. "A Multiple Testing Approach to High-Dimensional Association Studies with an Application to the Detection of Associations between Risk Factors of Heart Disease and Genetic Polymorphisms," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-56, January.
    25. Miecznikowski, Jeffrey C. & Gold, David & Shepherd, Lori & Liu, Song, 2011. "Deriving and comparing the distribution for the number of false positives in single step methods to control k-FWER," Statistics & Probability Letters, Elsevier, vol. 81(11), pages 1695-1705, November.
    26. Joseph P. Romano & Michael Wolf, 2008. "Balanced Control of Generalized Error Rates," IEW - Working Papers 379, Institute for Empirical Research in Economics - University of Zurich.
    27. Christopher J. Bennett, 2009. "Consistent and Asymptotically Unbiased MinP Tests of Multiple Inequality Moment Restrictions," Vanderbilt University Department of Economics Working Papers 0908, Vanderbilt University Department of Economics.
    28. Martin Huber & Giovanni Mellace, 2015. "Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 398-411, May.
    29. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Papers 2006.04269, arXiv.org.
    30. Li Wang & Xingzhong Xu & Yong A, 2016. "New multiple testing method under no dependency assumption, with application to multiple comparisons problem," Statistical Papers, Springer, vol. 57(1), pages 161-183, March.

  25. Azeem Shaikh & Edward Vytlacil, 2005. "Threshold Crossing Models and Bounds on Treatment Effects: A Nonparametric Analysis," NBER Technical Working Papers 0307, National Bureau of Economic Research, Inc.

    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. Ismael Mourifie & Marc Henry & Romuald Meango, 2017. "Sharp bounds and testability of a Roy model of STEM major choices," Papers 1709.09284, arXiv.org, revised Nov 2019.
    3. Stefan Boes, 2007. "Nonparametric Analysis of Treatment Effects in Ordered Response Models," SOI - Working Papers 0709, Socioeconomic Institute - University of Zurich.
    4. 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.
    5. Anders Forslund & Oskar Nordström Stans, 2006. "Swedish Youth Labour Market Policies Revisited," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 75(3), pages 168-185.
    6. Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
    7. Amit Gandhi & Jeremy T. Fox, 2009. "Identifying Heterogeneity in Economic Choice and Selection Models Using Mixtures," 2009 Meeting Papers 165, Society for Economic Dynamics.
    8. Kedagni, Desire, 2021. "Identifying treatment effects in the presence of confounded types," ISU General Staff Papers 202106050700001056, Iowa State University, Department of Economics.
    9. Cunha, Flavio & Heckman, James & Navarro, Salvador, 2004. "Separating uncertainty from heterogeneity in life cycle earnings," Working Paper Series 2005:6, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    10. Purvi Sevak & Lucie Schmidt, 2007. "How do Immigrants Fare in Retirement?," Working Papers wp169, University of Michigan, Michigan Retirement Research Center.
    11. Stefan Boes, 2009. "Partial Identification of Discrete Counterfactual Distributions with Sequential Update of Information," SOI - Working Papers 0918, Socioeconomic Institute - University of Zurich.
    12. Steven T. Berry & Philip A. Haile, 2009. "Identification of a Heterogeneous Generalized Regression Model with Group Effects," Cowles Foundation Discussion Papers 1732, Cowles Foundation for Research in Economics, Yale University.
    13. Edward Vytlacil, 2006. "A Note on Additive Separability and Latent Index Models of Binary Choice: Representation Results," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(4), pages 515-518, August.
    14. Alfred Galichon & Marc Henry, 2021. "Inference in Incomplete Models," Papers 2102.12257, arXiv.org.
    15. Michael Gerfin & Martin Schellhorn, 2006. "Nonparametric bounds on the effect of deductibles in health care insurance on doctor visits – Swiss evidence," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 1011-1020, September.
    16. 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.
    17. Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
    18. 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.
    19. 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.

  26. Joseph P & Romano & Azeem M. Shaikh & Michael Wolf, 2005. "Formalized Data Snooping Based on Generalized Error Rates," IEW - Working Papers 259, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. Gabriel Frahm & Tobias Wickern & Christof Wiechers, 2012. "Multiple tests for the performance of different investment strategies," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(3), pages 343-383, July.
    2. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
    3. Finer, David Andrew, 2018. "What Insights Do Taxi Rides Offer into Federal Reserve Leakage?," Working Papers 273, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    4. Orazio Attanasio & Arlen Guarín & Carlos Medina & Costas Meghir, 2017. "Vocational Training for Disadvantaged Youth in Colombia: A Long-Term Follow-Up," American Economic Journal: Applied Economics, American Economic Association, vol. 9(2), pages 131-143, April.
    5. Pierre-André Chiappori & Monica Costa Dias & Sam Crossman & Costas Meghir, 2020. "Changes in Assortative Matching and Inequality in Income: Evidence for the UK," NBER Working Papers 26933, National Bureau of Economic Research, Inc.
    6. Ghanem, Dalia, 2017. "Testing identifying assumptions in nonseparable panel data models," Journal of Econometrics, Elsevier, vol. 197(2), pages 202-217.
    7. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
    8. Pedro Carneiro & Tewolde Ghebremeskel & Joseph Keating & Andrea Locatelli, 2012. "Do public health interventions crowd out private health investments? Malaria control policies in Eritrea," CeMMAP working papers CWP12/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Sucarrat, Genaro, 2009. "Forecast Evaluation of Explanatory Models of Financial Variability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-33.
    10. Denisa Banulescu & Christophe Hurlin & Jeremy Leymarie & O. Scaillet, 2019. "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Swiss Finance Institute Research Paper Series 19-48, Swiss Finance Institute.
    11. Smeekes, S., 2011. "Bootstrap sequential tests to determine the stationary units in a panel," Research Memorandum 003, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    12. Zacharias Maniadis & Fabio Tufano & John A. List, 2014. "One Swallow Doesn't Make a Summer: New Evidence on Anchoring Effects," American Economic Review, American Economic Association, vol. 104(1), pages 277-290, January.
    13. Hanck, Christoph, 2011. "Now, whose schools are really better (or weaker) than Germany's? A multiple testing approach," Economic Modelling, Elsevier, vol. 28(4), pages 1739-1746, July.
    14. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Hypothesis testing in econometrics," IEW - Working Papers 444, Institute for Empirical Research in Economics - University of Zurich.
    15. Pierre-André Chiappori & Monica Costa Dias & Costas Meghir, 2020. "Changes in Assortative Matching: Theory and Evidence for the US," Working Papers 2020-033, Human Capital and Economic Opportunity Working Group.
    16. Dario Bruzzese & Domenico Vistocco, 2015. "DESPOTA: DEndrogram Slicing through a PemutatiOn Test Approach," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 285-304, July.
    17. David R. Bell & Olivier Ledoit & Michael Wolf, 2012. "A new portfolio formation approach to mispricing of marketing performance indicators with an application to customer satisfaction," ECON - Working Papers 079, Department of Economics - University of Zurich, revised Dec 2013.
    18. Barras, Laurent & Scaillet, Olivier & Wermers, Russ, 2009. "False discoveries in mutual fund performance: Measuring luck in estimated alphas," CFR Working Papers 06-02, University of Cologne, Centre for Financial Research (CFR).
    19. Garth Heutel, 2017. "Prospect Theory and Energy Efficiency," NBER Working Papers 23692, National Bureau of Economic Research, Inc.
    20. Chesney, Marc & Crameri, Remo & Mancini, Loriano, 2015. "Detecting abnormal trading activities in option markets," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 263-275.
    21. Orazio Attanasio & Arlen Guarín & Carlos Medina & Costas Meghir, 2015. "Long Term Impacts of Vouchers for Vocational Training: Experimental Evidence for Colombia," Borradores de Economia 13326, Banco de la Republica.
    22. Daniel Bennett & Syed Ali Asjad Naqvi & Wolf‐Peter Schmidt, 2015. "Constraints on Compliance and the Impact of Health Information in Rural Pakistan," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1065-1081, September.
    23. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Michael Wolf & Dan Wunderli, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 352-376, May.
    24. Minyou Fan & Youwei Li & Ming Liao & Jiadong Liu, 2022. "A reexamination of factor momentum: How strong is it?," The Financial Review, Eastern Finance Association, vol. 57(3), pages 585-615, August.
    25. James J. Heckman & Rodrigo Pinto & Azeem M. Shaikh & Adam Yavitz, 2011. "Inference with Imperfect Randomization: The Case of the Perry Preschool Program," NBER Working Papers 16935, National Bureau of Economic Research, Inc.
    26. Deckers, Thomas & Hanck, Christoph, 2009. "Multiple Testing Techniques in Growth Econometrics," MPRA Paper 17843, University Library of Munich, Germany.
    27. Scaillet, Olivier & Treccani, Adrien & Trevisan, Christopher, 2017. "High-frequency jump analysis of the bitcoin market," Working Papers unige:93900, University of Geneva, Geneva School of Economics and Management.
    28. Heckman, James J. & Pinto, Rodrigo & Shaikh, Azeem M., 2023. "Dealing With Imperfect Randomization: Inference for the Highscope Perry Preschool Program," IZA Discussion Papers 16675, Institute of Labor Economics (IZA).
    29. Zeng-Hua Lu, 2019. "Extended MinP Tests of Multiple Hypotheses," Papers 1911.04696, arXiv.org.
    30. P Kuang & M Schroder & Q Wang, 2013. "Illusory Profitability of Technical Analysis in Emerging Foreign Exchange Markets," Discussion Papers 13-09, Department of Economics, University of Birmingham.
    31. Maurizio Mazzocco & Shiv Saini, 2012. "Testing Efficient Risk Sharing with Heterogeneous Risk Preferences," American Economic Review, American Economic Association, vol. 102(1), pages 428-468, February.
    32. Hanck, Christoph, 2008. "An intersection test for panel unit roots," Technical Reports 2008,11, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    33. Alvaro Escribano & Genaro Sucarrat, 2011. "Automated model selection in finance: General-to-speci c modelling of the mean and volatility speci cations," Working Papers 2011-09, Instituto Madrileño de Estudios Avanzados (IMDEA) Ciencias Sociales.
    34. Christopher J. Bennett, 2009. "p-Value Adjustments for Asymptotic Control of the Generalized Familywise Error Rate," Vanderbilt University Department of Economics Working Papers 0905, Vanderbilt University Department of Economics.
    35. Pierre-Andre Chiappori & Monica Costa Dias & Costas Meghir, 2021. "The Measuring of Assortativeness in Marriage," Cowles Foundation Discussion Papers 2316, Cowles Foundation for Research in Economics, Yale University.
    36. Michael Wolf & Dan Wunderli, 2012. "Bootstrap joint prediction regions," ECON - Working Papers 064, Department of Economics - University of Zurich, revised May 2013.
    37. Nik Tuzov & Frederi Viens, 2011. "Mutual fund performance: false discoveries, bias, and power," Annals of Finance, Springer, vol. 7(2), pages 137-169, May.
    38. Natalia Bailey & M. Hashem Pesaran & L. Vanessa Smith, 2014. "A Multiple Testing Approach to the Regularisation of Large Sample Correlation Matrices," CESifo Working Paper Series 4834, CESifo.
    39. John List & Azeem Shaikh & Yang Xu, 2016. "Multiple Hypothesis Testing in Experimental Economics," Artefactual Field Experiments 00402, The Field Experiments Website.
    40. Sucarrat, Genaro & Escribano, Álvaro, 2009. "Automated financial multi-path GETS modelling," UC3M Working papers. Economics we093620, Universidad Carlos III de Madrid. Departamento de Economía.
    41. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    42. Romano, Joseph P. & Wolf, Michael, 2016. "Efficient computation of adjusted p-values for resampling-based stepdown multiple testing," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 38-40.
    43. Oliver Ledoit & Michael Wolf, 2008. "Robust Performance Hypothesis Testing with the Sharpe Ratio," IEW - Working Papers 320, Institute for Empirical Research in Economics - University of Zurich.
    44. Pallavi Basu & Luella Fu & Alessio Saretto & Wenguang Sun, 2021. "Empirical Bayes Control of the False Discovery Exceedance," Working Papers 2115, Federal Reserve Bank of Dallas.
    45. Olivier Ledoit & Michael Wolf, 2018. "Robust performance hypothesis testing with smooth functions of population moments," ECON - Working Papers 305, Department of Economics - University of Zurich.
    46. Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos, 2021. "Trading the foreign exchange market with technical analysis and Bayesian Statistics," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 230-251.
    47. Hanck, Christoph, 2008. "Nonstationary-Volatility Robust Panel Unit Root Tests and the Great Moderation," MPRA Paper 11988, University Library of Munich, Germany.
    48. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2008. "Control of the False Discovery Rate under Dependence using the Bootstrap and Subsampling," IEW - Working Papers 337, Institute for Empirical Research in Economics - University of Zurich.
    49. Daniel Wilhelm, 2019. "Testing for the presence of measurement error," CeMMAP working papers CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    50. Will Dobbie & Roland G. Fryer Jr., 2015. "The Medium-Term Impacts of High-Achieving Charter Schools," Journal of Political Economy, University of Chicago Press, vol. 123(5), pages 985-1037.
    51. Stephen A. Gorman & Frank J. Fabozzi, 2021. "The ABC’s of the alternative risk premium: academic roots," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 405-436, October.
    52. Hanck, C.H., 2009. "Nonstationary-volatility robust panel unit root tests and the great moderation," Research Memorandum 009, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    53. Pierre Bajgrowicz & Olivier Scaillet & Adrien Treccani, 2016. "Jumps in High-Frequency Data: Spurious Detections, Dynamics, and News," Management Science, INFORMS, vol. 62(8), pages 2198-2217, August.
    54. Michele La Rocca & Cira Perna, 2022. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning," Stats, MDPI, vol. 5(2), pages 1-18, April.
    55. Adriano Koshiyama & Nick Firoozye, 2019. "Avoiding Backtesting Overfitting by Covariance-Penalties: an empirical investigation of the ordinary and total least squares cases," Papers 1905.05023, arXiv.org.
    56. Genaro Sucarrat & Alvaro Escribano, 2012. "Automated Model Selection in Finance: General-to-Specific Modelling of the Mean and Volatility Specifications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(5), pages 716-735, October.
    57. Joseph Romano & Azeem Shaikh & Michael Wolf, 2008. "Rejoinder on: Control of the false discovery rate under dependence using the bootstrap and subsampling," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(3), pages 461-471, November.
    58. Andrew Y. Chen & Tom Zimmermann, 2022. "Publication Bias in Asset Pricing Research," Papers 2209.13623, arXiv.org, revised Sep 2023.
    59. Ali Hortacsu & Jakub Kastl, "undated". "Testing for Common Values in Canadian Treasury Bill Auctions," Discussion Papers 07-053, Stanford Institute for Economic Policy Research.
    60. Michael Wolf & Dan Wunderli, 2009. "Fund-of-funds construction by statistical multiple testing methods," IEW - Working Papers 445, Institute for Empirical Research in Economics - University of Zurich.
    61. Hanck, Christoph, 2008. "Now, whose schools are really better (or weaker) than Germany's? A multiple testing approach," MPRA Paper 12008, University Library of Munich, Germany.
    62. Georgios Sermpinis & Arman Hassanniakalager & Charalampos Stasinakis & Ioannis Psaradellis, 2018. "Technical Analysis and Discrete False Discovery Rate: Evidence from MSCI Indices," Papers 1811.06766, arXiv.org, revised Jun 2019.

  27. 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.

    Cited by:

    1. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    2. Ity Shurtz & Alon Eizenberg & Adi Alkalay & Amnon Lahad, 2022. "Physician workload and treatment choice: the case of primary care," RAND Journal of Economics, RAND Corporation, vol. 53(4), pages 763-791, December.
    3. Kyunghoon Ban & D'esir'e K'edagni, 2021. "Nonparametric Bounds on Treatment Effects with Imperfect Instruments," Papers 2109.14785, arXiv.org.
    4. 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.
    5. Marc Henry & Ismael Mourifié, 2012. "Sharp Bounds in the Binary Roy Model," CIRANO Working Papers 2012s-06, CIRANO.
    6. Jay Bhattacharya & Adam Isen, 2008. "On Inferring Demand for Health Care in the Presence of Anchoring, Acquiescence, and Selection Biases," NBER Working Papers 13865, National Bureau of Economic Research, Inc.
    7. Domenico Depalo & Santiago Pereda-Fernández, 2020. "Consistent estimates of the public/private wage gap," Empirical Economics, Springer, vol. 58(6), pages 2937-2947, June.
    8. Depalo, Domenico, 2020. "True Covid-19 mortality rates from administrative data," GLO Discussion Paper Series 630, Global Labor Organization (GLO).
    9. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2017. "Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training," GLO Discussion Paper Series 93, Global Labor Organization (GLO).
    10. Ismael Mourifié & Yuanyuan Wan, 2017. "Testing Local Average Treatment Effect Assumptions," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 305-313, May.
    11. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    12. Laurent Gobillon & Carine Milcent, 2016. "Evaluating the Effect of Ownership Status on Hospital Quality: The Key Role of Innovative Procedures," PSE-Ecole d'économie de Paris (Postprint) halshs-01509624, HAL.
    13. Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2018. "Using Instrumental Variables for Inference About Policy Relevant Treatment Parameters," Econometrica, Econometric Society, vol. 86(5), pages 1589-1619, September.
    14. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    16. Martin Huber & Giovanni Mellace, 2010. "Sharp IV bounds on average treatment effects under endogeneity and noncompliance," University of St. Gallen Department of Economics working paper series 2010 2010-31, Department of Economics, University of St. Gallen.
    17. Sokbae Lee & Martin Weidner, 2021. "Bounding Treatment Effects by Pooling Limited Information across Observations," Papers 2111.05243, arXiv.org, revised Dec 2023.
    18. John List & Azeem Shaikh & Yang Xu, 2016. "Multiple Hypothesis Testing in Experimental Economics," Artefactual Field Experiments 00402, The Field Experiments Website.
    19. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    20. 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.
    21. Michael Gerfin & Martin Schellhorn, 2006. "Nonparametric bounds on the effect of deductibles in health care insurance on doctor visits – Swiss evidence," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 1011-1020, September.
    22. Blanco, German & Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2018. "Bounds on Average and Quantile Treatment Effects on Duration Outcomes under Censoring, Selection, and Noncompliance," GLO Discussion Paper Series 288, Global Labor Organization (GLO).
    23. 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.
    24. Jay Bhattacharya & William B. Vogt, 2007. "Do Instrumental Variables Belong in Propensity Scores?," NBER Technical Working Papers 0343, National Bureau of Economic Research, Inc.

Articles

  1. Cai Yong & Canay Ivan A. & Kim Deborah & Shaikh Azeem M., 2023. "On the Implementation of Approximate Randomization Tests in Linear Models with a Small Number of Clusters," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 85-103, January.
    See citations under working paper version above.
  2. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    See citations under working paper version above.
  3. Zheng Fang & Andres Santos & Azeem M. Shaikh & Alexander Torgovitsky, 2023. "Inference for Large‐Scale Linear Systems With Known Coefficients," Econometrica, Econometric Society, vol. 91(1), pages 299-327, January.
    See citations under working paper version above.
  4. Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2022. "Statistical Uncertainty in the Ranking of Journals and Universities," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 630-634, May.
    See citations under working paper version above.
  5. Yuehao Bai & Joseph P. Romano & Azeem M. Shaikh, 2022. "Inference in Experiments With Matched Pairs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(540), pages 1726-1737, October.
    See citations under working paper version above.
  6. Yuehao Bai & Andres Santos & Azeem M. Shaikh, 2022. "A Two-Step Method for Testing Many Moment Inequalities," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1070-1080, June.

    Cited by:

    1. Patrick M. Kline & Evan K. Rose & Christopher R. Walters, 2021. "Systemic Discrimination Among Large U.S. Employers," NBER Working Papers 29053, National Bureau of Economic Research, Inc.

  7. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2021. "The Wild Bootstrap with a “Small†Number of “Large†Clusters," The Review of Economics and Statistics, MIT Press, vol. 103(2), pages 346-363, May.

    Cited by:

    1. Iyer, S. & Larcom, S. & She, P-W., 2024. "Do Religious People Cope Better in a Crisis? Evidence from the UK Pandemic Lockdowns," Cambridge Working Papers in Economics 2403, Faculty of Economics, University of Cambridge.
    2. James G. MacKinnon, 2021. "Fast cluster bootstrap methods for linear regression models," Working Paper 1465, Economics Department, Queen's University.
    3. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference," Working Paper 1485, Economics Department, Queen's University.
    4. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
    5. François Bareille & Raja Chakir, 2024. "Structural identification of weather impacts on crop yields: Disentangling agronomic from adaptation effects," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(3), pages 989-1019, May.
    6. Felipe Gonzalez & Luis R. Martinez & Pablo Munoz & Mounu Prem, 2023. "Higher education and mortality: legacies of an authoritarian college contraction," Working Papers 965, Queen Mary University of London, School of Economics and Finance.
    7. Heckman, James J. & Pinto, Rodrigo & Shaikh, Azeem M., 2023. "Dealing With Imperfect Randomization: Inference for the Highscope Perry Preschool Program," IZA Discussion Papers 16675, Institute of Labor Economics (IZA).

  8. Azeem M. Shaikh & Panos Toulis, 2021. "Randomization Tests in Observational Studies With Staggered Adoption of Treatment," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1835-1848, October.

    Cited by:

    1. 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.
    2. Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik, 2022. "scpi: Uncertainty Quantification for Synthetic Control Methods," Papers 2202.05984, arXiv.org, revised Oct 2022.
    3. Heckman, James J. & Pinto, Rodrigo & Shaikh, Azeem M., 2023. "Dealing With Imperfect Randomization: Inference for the Highscope Perry Preschool Program," IZA Discussion Papers 16675, Institute of Labor Economics (IZA).
    4. Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
    5. Gregory Faletto, 2023. "Fused Extended Two-Way Fixed Effects for Difference-in-Differences with Staggered Adoptions," Papers 2312.05985, arXiv.org, revised Apr 2024.
    6. Eli Ben‐Michael & Avi Feller & Jesse Rothstein, 2022. "Synthetic controls with staggered adoption," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 351-381, April.
    7. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.

  9. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2019. "Inference under covariate‐adaptive randomization with multiple treatments," Quantitative Economics, Econometric Society, vol. 10(4), pages 1747-1785, November.
    See citations under working paper version above.
  10. John A. List & Azeem M. Shaikh & Yang Xu, 2019. "Multiple hypothesis testing in experimental economics," Experimental Economics, Springer;Economic Science Association, vol. 22(4), pages 773-793, December.
    See citations under working paper version above.
  11. 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.

    Cited by:

    1. Thomas Carr & Toru Kitagawa, 2021. "Testing Instrument Validity with Covariates," Papers 2112.08092, arXiv.org, revised Sep 2023.
    2. Hang Miao & Kui Zhao & Zhun Wang & Linbo Jiang & Quanhui Jia & Yanming Fang & Quan Yu, 2020. "Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference," Papers 2007.05188, arXiv.org.
    3. 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.
    4. Sukjin Han, 2018. "Identification in Nonparametric Models for Dynamic Treatment Effects," Papers 1805.09397, arXiv.org, revised Jan 2019.
    5. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    6. 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.
    7. Kyunghoon Ban & D'esir'e K'edagni, 2021. "Nonparametric Bounds on Treatment Effects with Imperfect Instruments," Papers 2109.14785, arXiv.org.
    8. 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.
    9. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
    10. 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.
    11. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2017. "Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training," GLO Discussion Paper Series 93, Global Labor Organization (GLO).
    12. Ismael Mourifié & Yuanyuan Wan, 2017. "Testing Local Average Treatment Effect Assumptions," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 305-313, May.
    13. Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
    14. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    15. Julia Schmieder, 2020. "Fertility as a Driver of Maternal Employment," Discussion Papers of DIW Berlin 1882, DIW Berlin, German Institute for Economic Research.
    16. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    18. John List & Azeem Shaikh & Yang Xu, 2016. "Multiple Hypothesis Testing in Experimental Economics," Artefactual Field Experiments 00402, The Field Experiments Website.
    19. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    20. Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
    21. 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.
    22. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    23. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    24. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    25. Yinchu Zhu, 2021. "Phase transition of the monotonicity assumption in learning local average treatment effects," Papers 2103.13369, arXiv.org.
    26. Guber, Raphael, 2018. "Instrument Validity Tests with Causal Trees: With an Application to the Same-sex Instrument," MEA discussion paper series 201805, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    27. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.

  12. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2018. "Inference Under Covariate-Adaptive Randomization," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(524), pages 1784-1796, October.
    See citations under working paper version above.
  13. Denis Chetverikov & Andres Santos & Azeem M. Shaikh, 2018. "The Econometrics of Shape Restrictions," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 31-63, August.

    Cited by:

    1. Matthew A. Masten & Alexandre Poirier, 2018. "Interpreting Quantile Independence," Papers 1804.10957, arXiv.org.
    2. Xi Chen & Victor Chernozhukov & Iv'an Fern'andez-Val & Scott Kostyshak & Ye Luo, 2018. "Shape-Enforcing Operators for Point and Interval Estimators," Papers 1809.01038, arXiv.org, revised Feb 2021.

  14. Stephane Bonhomme & Azeem M. Shaikh, 2017. "Keeping the ECON in Econometrics: (Micro-)Econometrics in the Journal of Political Economy," Journal of Political Economy, University of Chicago Press, vol. 125(6), pages 1846-1853.

    Cited by:

    1. Bakalli, Gaetan & Guerrier, Stéphane & Scaillet, Olivier, 2023. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Journal of Econometrics, Elsevier, vol. 237(2).
    2. Barras, Laurent & Scaillet, Olivier & Gagliardini, Patrick, 2021. "Skill, scale, and value creation in the mutual fund industry," Working Papers unige:150822, University of Geneva, Geneva School of Economics and Management.

  15. Ivan A. Canay & Joseph P. Romano & Azeem M. Shaikh, 2017. "Randomization Tests Under an Approximate Symmetry Assumption," Econometrica, Econometric Society, vol. 85, pages 1013-1030, May.

    Cited by:

    1. Uri Gneezy & John A. List & Jeffrey A. Livingston & Sally Sadoff & Xiangdong Qin & Yang Xu, 2017. "Measuring Success in Education: The Role of Effort on the Test Itself," NBER Working Papers 24004, National Bureau of Economic Research, Inc.
    2. Luis Alvarez & Bruno Ferman, 2020. "Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation," Papers 2006.16997, arXiv.org, revised Apr 2023.
    3. Ivan A. Canay & Vishal Kamat, 2017. "Approximate permutation tests and induced order statistics in the regression discontinuity design," CeMMAP working papers CWP21/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Hagemann, Andreas, 2019. "Placebo inference on treatment effects when the number of clusters is small," Journal of Econometrics, Elsevier, vol. 213(1), pages 190-209.
    5. Alex Chin & Dean Eckles & Johan Ugander, 2022. "Evaluating Stochastic Seeding Strategies in Networks," Management Science, INFORMS, vol. 68(3), pages 1714-1736, March.
    6. Brendan K. Beare & Juwon Seo, 2019. "Randomization tests of copula symmetry," Papers 1911.05307, arXiv.org.
    7. Djogbenou, Antoine & Sufana, Razvan, 2024. "Tests for group-specific heterogeneity in high-dimensional factor models," Journal of Multivariate Analysis, Elsevier, vol. 199(C).
    8. Jorge González Chapela & Sergi Jiménez-Martín & Judit Vall Castello, 2023. "Education and internal migration: evidence from a child labor reform in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 14(2), pages 143-164, June.
    9. Chabé-Ferret, Sylvain & Le Coent, Philippe & Lefebvre, Caroline & Salanié, François & Subervie, Julie & Thoyer, Sophie & Préget, Raphaele, 2024. "When Nudges Backfire: Evidence from a Randomized Field Experiment to Boost Biological Pest Control," TSE Working Papers 24-1512, Toulouse School of Economics (TSE).
    10. Yong Cai, 2021. "Panel Data with Unknown Clusters," Papers 2106.05503, arXiv.org, revised Jan 2022.
    11. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Working Paper 1456, Economics Department, Queen's University.
    12. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2019. "The Wild Bootstrap with a Small Number of Large Clusters," CeMMAP working papers CWP40/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Zhao, Anqi & Ding, Peng, 2021. "Covariate-adjusted Fisher randomization tests for the average treatment effect," Journal of Econometrics, Elsevier, vol. 225(2), pages 278-294.
    14. Yong Cai, 2021. "A Modified Randomization Test for the Level of Clustering," Papers 2105.01008, arXiv.org, revised Jan 2022.
    15. Yusuke Narita, 2021. "A Theory of Quasi-Experimental Evaluation of School Quality," Management Science, INFORMS, vol. 67(8), pages 4982-5010, August.
    16. Stefan Beierl & Marina Dodlova, 2022. "Public Works Programmes and Cooperation for the Common Good: Evidence from Malawi," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(3), pages 1264-1284, June.
    17. Michael P. Leung, 2021. "Network Cluster-Robust Inference," Papers 2103.01470, arXiv.org, revised Feb 2023.
    18. Juwon Seo, 2018. "Randomization Tests for Equality in Dependence Structure," Papers 1811.02105, arXiv.org.
    19. Ruoyao Shi & Jinyong Hahn, 2016. "Synthetic Control and Inference," Working Papers 201802, University of California at Riverside, Department of Economics, revised Nov 2017.
    20. 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.
    21. Bruno Ferman, 2019. "Inference in Difference-in-Differences: How Much Should We Trust in Independent Clusters?," Papers 1909.01782, arXiv.org, revised Sep 2022.
    22. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls When Estimating Treatment Effects Using Clustered Data," Working Paper 1387, Economics Department, Queen's University.
    23. Heckman, James J. & Pinto, Rodrigo & Shaikh, Azeem M., 2023. "Dealing With Imperfect Randomization: Inference for the Highscope Perry Preschool Program," IZA Discussion Papers 16675, Institute of Labor Economics (IZA).
    24. Purevdorj Tuvaandorj, 2021. "Robust Permutation Tests in Linear Instrumental Variables Regression," Papers 2111.13774, arXiv.org, revised Jun 2023.
    25. Bugni, Federico A. & Canay, Ivan A., 2021. "Testing continuity of a density via g-order statistics in the regression discontinuity design," Journal of Econometrics, Elsevier, vol. 221(1), pages 138-159.
    26. Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
    27. Bruce E. Hansen & Seojeong Jay Lee, 2017. "Asymptotic Theory for Clustered Samples," Discussion Papers 2017-18, School of Economics, The University of New South Wales.
    28. Dmitry Arkhangelsky & Vasily Korovkin, 2020. "On Policy Evaluation with Aggregate Time-Series Shocks," CERGE-EI Working Papers wp657, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    29. James G. MacKinnon & Matthew D. Webb, 2019. "Randomization Inference For Difference-in-differences With Few Treated Clusters," Working Paper 1355, Economics Department, Queen's University.
    30. Timothy Conley & Silvia Gonçalves & Christian Hansen, 2018. "Inference with Dependent Data in Accounting and Finance Applications," Journal of Accounting Research, Wiley Blackwell, vol. 56(4), pages 1139-1203, September.
    31. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    32. Ivan A. Canay & Vishal Kamat, 2017. "Approximate permutation tests and induced order statistics in the regression discontinuity design," CeMMAP working papers 21/17, Institute for Fiscal Studies.
    33. Cai Yong & Canay Ivan A. & Kim Deborah & Shaikh Azeem M., 2023. "On the Implementation of Approximate Randomization Tests in Linear Models with a Small Number of Clusters," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 85-103, January.
    34. Johannes W. Ligtenberg, 2023. "Inference in IV models with clustered dependence, many instruments and weak identification," Papers 2306.08559, arXiv.org, revised Mar 2024.
    35. Andreas Hagemann, 2020. "Inference with a single treated cluster," Papers 2010.04076, arXiv.org.
    36. Timmermann, Allan & Zhu, Yinchu, 2019. "Comparing Forecasting Performance with Panel Data," CEPR Discussion Papers 13746, C.E.P.R. Discussion Papers.
    37. Hwang, Jungbin, 2021. "Simple and trustworthy cluster-robust GMM inference," Journal of Econometrics, Elsevier, vol. 222(2), pages 993-1023.
    38. Mehmet Guven Gunver, 2022. "Norm-Referenced Scoring on Real Data: A Comparative Study of GRiSTEN and STEN," SAGE Open, , vol. 12(2), pages 21582440221, April.
    39. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    40. Michael P. Leung, 2022. "Dependence‐robust inference using resampled statistics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 270-285, March.
    41. Jesse Hemerik & Jelle J. Goeman & Livio Finos, 2020. "Robust testing in generalized linear models by sign flipping score contributions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(3), pages 841-864, July.
    42. Andreas Hagemann, 2023. "Inference on quantile processes with a finite number of clusters," Papers 2301.04687, arXiv.org, revised Jun 2023.
    43. Yong Cai, 2021. "Some Finite Sample Properties of the Sign Test," Papers 2103.01412, arXiv.org, revised Feb 2024.
    44. Yusuke Narita, 2020. "A Theory of Quasi-Experimental Evaluation of School Quality," Working Papers 2020-085, Human Capital and Economic Opportunity Working Group.
    45. Andreas Hagemann, 2019. "Permutation inference with a finite number of heterogeneous clusters," Papers 1907.01049, arXiv.org, revised Feb 2023.
    46. Chen, Qiang & Yan, Guanpeng, 2023. "A mixed placebo test for synthetic control method," Economics Letters, Elsevier, vol. 224(C).
    47. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
    48. Rustam Ibragimov & Paul Kattuman & Anton Skrobotov, 2021. "Robust Inference on Income Inequality: $t$-Statistic Based Approaches," Papers 2105.05335, arXiv.org, revised Nov 2021.
    49. Valentin Verdier, 2020. "Estimation and Inference for Linear Models with Two-Way Fixed Effects and Sparsely Matched Data," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 1-16, March.
    50. Michael P. Leung & Hyungsik Roger Moon, 2019. "Normal Approximation in Large Network Models," Papers 1904.11060, arXiv.org, revised Feb 2023.

  16. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2014. "A Practical Two‐Step Method for Testing Moment Inequalities," Econometrica, Econometric Society, vol. 82, pages 1979-2002, September.
    See citations under working paper version above.
  17. Soohyung Lee & Azeem M. Shaikh, 2014. "Multiple Testing And Heterogeneous Treatment Effects: Re‐Evaluating The Effect Of Progresa On School Enrollment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 612-626, June.

    Cited by:

    1. Sokbae Lee & Ryo Okui & Yoon†Jae Whang, 2017. "Doubly robust uniform confidence band for the conditional average treatment effect function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1207-1225, November.
    2. Christensen, Garret & Miguel, Edward & Sturdy, Jennifer, 2017. "Transparency, Reproducibility, and the Credibility of Economics Research," MetaArXiv 9a3rw, Center for Open Science.
    3. Patacchini, Eleonora & Rainone, Edoardo, 2019. "Treatment Effects with Heterogeneous Externalities," CEPR Discussion Papers 13781, C.E.P.R. Discussion Papers.
    4. Stefanie Fischer & Heather Royer & Corey White, 2017. "The Impacts of Reduced Access to Abortion and Family Planning Services on Abortion, Births, and Contraceptive Purchases," NBER Working Papers 23634, National Bureau of Economic Research, Inc.
    5. Steven F. Lehrer & R. Vincent Pohl & Kyungchul Song, 2016. "Targeting Policies: Multiple Testing and Distributional Treatment Effects," NBER Working Papers 22950, National Bureau of Economic Research, Inc.
    6. Goldzahl, Léontine & Hollard, Guillaume & Jusot, Florence, 2018. "Increasing breast-cancer screening uptake: A randomized controlled experiment," Journal of Health Economics, Elsevier, vol. 58(C), pages 228-252.
    7. Julie Buhl-Wiggers & Jason Kerwin & Juan Muñoz-Morales & Jeffrey Smith & Rebecca Thornton, 2022. "Some children left behind: Variation in the effects of an educational intervention," Post-Print hal-03972201, HAL.
    8. Yuehao Bai & Joseph P. Romano & Azeem M. Shaikh, 2022. "Inference in Experiments With Matched Pairs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(540), pages 1726-1737, October.
    9. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
    10. Bedoya, Guadalupe & Bittarello, Luca & Davis, Jonathan & Mittag, Nikolas, 2018. "Distributional Impact Analysis: Toolkit and Illustrations of Impacts beyond the Average Treatment Effect," IZA Discussion Papers 11863, Institute of Labor Economics (IZA).
    11. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927, Cowles Foundation for Research in Economics, Yale University.
    12. Joana Elisa Maldonado & Kristof De Witte & Koen Declercq, 2022. "The effects of parental involvement in homework: two randomised controlled trials in financial education," Empirical Economics, Springer, vol. 62(3), pages 1439-1464, March.
    13. Zhao, Anqi & Ding, Peng, 2021. "Covariate-adjusted Fisher randomization tests for the average treatment effect," Journal of Econometrics, Elsevier, vol. 225(2), pages 278-294.
    14. Aminou Arouna & Jeffrey D. Michler & Jourdain C. Lokossou, 2019. "Contract Farming and Rural Transformation: Evidence from a Field Experiment in Benin," NBER Working Papers 25665, National Bureau of Economic Research, Inc.
    15. Daniel Bennett & Syed Ali Asjad Naqvi & Wolf‐Peter Schmidt, 2015. "Constraints on Compliance and the Impact of Health Information in Rural Pakistan," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1065-1081, September.
    16. Jonathan M.V. Davis & Sara B. Heller, 2017. "Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs," NBER Working Papers 23443, National Bureau of Economic Research, Inc.
    17. Brennan S. Thompson & Matthew D. Webb, 2017. "A simple, graphical approach to comparing multiple treatment," Canadian Stata Users' Group Meetings 2017 01, Stata Users Group.
    18. Jaime Ramirez-Cuellar, 2023. "Testing for idiosyncratic Treatment Effect Heterogeneity," Papers 2304.01141, arXiv.org.
    19. John List & Azeem Shaikh & Yang Xu, 2016. "Multiple Hypothesis Testing in Experimental Economics," Artefactual Field Experiments 00402, The Field Experiments Website.
    20. Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "A model of multiple hypothesis testing," Papers 2104.13367, arXiv.org, revised Apr 2024.
    21. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    22. Eszter Czibor & David Jimenez‐Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 371-432, October.
    23. Lehrer, Steven F. & Pohl, R. Vincent & Song, Kyungchul, 2018. "Multiple Testing and the Distributional Effects of Accountability Incentives in Education," MPRA Paper 89532, University Library of Munich, Germany.
    24. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization," CeMMAP working papers 25/17, Institute for Fiscal Studies.
    25. Young, Alwyn, 2019. "Channeling Fisher: randomization tests and the statistical insignificance of seemingly significant experimental results," LSE Research Online Documents on Economics 101401, London School of Economics and Political Science, LSE Library.
    26. Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148-174.
    27. Weijia Dai & Hyunjin Kim & Michael Luca, 2016. "Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Harvard Business School Working Papers 17-025, Harvard Business School, revised Jan 2023.

  18. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2013. "On the Testability of Identification in Some Nonparametric Models With Endogeneity," Econometrica, Econometric Society, vol. 81(6), pages 2535-2559, November.
    See citations under working paper version above.
  19. Bhattacharya, Jay & Shaikh, Azeem M. & Vytlacil, Edward, 2012. "Treatment effect bounds: An application to Swan–Ganz catheterization," Journal of Econometrics, Elsevier, vol. 168(2), pages 223-243.
    See citations under working paper version above.
  20. Yuichi Kitamura & Andres Santos & Azeem M. Shaikh, 2012. "On the Asymptotic Optimality of Empirical Likelihood for Testing Moment Restrictions," Econometrica, Econometric Society, vol. 80(1), pages 413-423, January.
    See citations under working paper version above.
  21. Romano Joseph P. & Shaikh Azeem & Wolf Michael, 2011. "Consonance and the Closure Method in Multiple Testing," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-25, February.
    See citations under working paper version above.
  22. Azeem M. Shaikh & Edward J. Vytlacil, 2011. "Partial Identification in Triangular Systems of Equations With Binary Dependent Variables," Econometrica, Econometric Society, vol. 79(3), pages 949-955, May.

    Cited by:

    1. Ismael Mourifie & Marc Henry & Romuald Meango, 2017. "Sharp bounds and testability of a Roy model of STEM major choices," Papers 1709.09284, arXiv.org, revised Nov 2019.
    2. Wooyoung Kim & Koohyun Kwon & Soonwoo Kwon & Sokbae Lee, 2018. "The identification power of smoothness assumptions in models with counterfactual outcomes," Quantitative Economics, Econometric Society, vol. 9(2), pages 617-642, July.
    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. Koen Jochmans, 2011. "Identification in Bivariate binary-choice Models with elliptical innovations," SciencePo Working papers Main hal-01069483, HAL.
    5. Ismael Mourifie & Yuanyuan Wan, 2015. "(Partially) Identifying potential outcome distributions in triangular systems," Working Papers tecipa-532, University of Toronto, Department of Economics.
    6. Sukjin Han, 2018. "Identification in Nonparametric Models for Dynamic Treatment Effects," Papers 1805.09397, arXiv.org, revised Jan 2019.
    7. Chesher, Andrew, 2013. "Semiparametric Structural Models Of Binary Response: Shape Restrictions And Partial Identification," Econometric Theory, Cambridge University Press, vol. 29(2), pages 231-266, April.
    8. Stefan Hoderlein & Yuya Sasaki, 2011. "On the role of time in nonseparable panel data models," CeMMAP working papers CWP15/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. 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.
    10. Shakeeb Khan & Arnaud Maurel & Yichong Zhang, 2021. "Informational Content of Factor Structures in Simultaneous Binary Response Models," NBER Working Papers 28327, National Bureau of Economic Research, Inc.
    11. Nianqing Liu & Quang Vuong & Haiqing Xu, 2012. "Rationalization and Identification of Discrete Games with Correlated Types," Department of Economics Working Papers 130915, The University of Texas at Austin, Department of Economics.
    12. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    13. 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.
    14. Marc Henry & Ismael Mourifié, 2012. "Sharp Bounds in the Binary Roy Model," CIRANO Working Papers 2012s-06, CIRANO.
    15. Sokbae (Simon) Lee & Bernard Salanie, 2015. "Identifying effects of multivalued treatments," CeMMAP working papers CWP72/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
    17. Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.
    18. Sung Jae Jun & Joris Pinkse & Haiqing Xu & Nese Yildiz, 2012. "Identification of treatment effects in a triangular system of equations," Department of Economics Working Papers 130910, The University of Texas at Austin, Department of Economics, revised Oct 2012.
    19. Galichon, Alfred & Henry, Marc, 2013. "Dilation bootstrap," Journal of Econometrics, Elsevier, vol. 177(1), pages 109-115.
    20. 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.
    21. Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.
    22. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2017. "Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training," GLO Discussion Paper Series 93, Global Labor Organization (GLO).
    23. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    24. Ismael MOURIFIÉ, 2013. "Sharp Bounds On Treatment Effects In A Binary Triangular System," Working Papers tecipa-498, University of Toronto, Department of Economics.
    25. Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2018. "Using Instrumental Variables for Inference About Policy Relevant Treatment Parameters," Econometrica, Econometric Society, vol. 86(5), pages 1589-1619, September.
    26. Kedagni, Desire, 2021. "Identifying treatment effects in the presence of confounded types," ISU General Staff Papers 202106050700001056, Iowa State University, Department of Economics.
    27. Fan, Yanqin & Park, Sang Soo, 2012. "Confidence intervals for the quantile of treatment effects in randomized experiments," Journal of Econometrics, Elsevier, vol. 167(2), pages 330-344.
    28. Anirban Basu & Norma Coe & Cole G. Chapman, 2017. "Comparing 2SLS vs 2SRI for Binary Outcomes and Binary Exposures," NBER Working Papers 23840, National Bureau of Economic Research, Inc.
    29. Sukjin Han & Sungwon Lee, 2019. "Estimation in a generalization of bivariate probit models with dummy endogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 994-1015, September.
    30. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Bhattacharya, Jay & Shaikh, Azeem M. & Vytlacil, Edward, 2012. "Treatment effect bounds: An application to Swan–Ganz catheterization," Journal of Econometrics, Elsevier, vol. 168(2), pages 223-243.
    32. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    33. Martin Huber & Giovanni Mellace, 2010. "Sharp IV bounds on average treatment effects under endogeneity and noncompliance," University of St. Gallen Department of Economics working paper series 2010 2010-31, Department of Economics, University of St. Gallen.
    34. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    35. Austin Nichols, 2011. "Causal inference for binary regression with observational data," CHI11 Stata Conference 6, Stata Users Group.
    36. Klein, Roger & Shen, Chan & Vella, Francis, 2011. "Semiparametric Selection Models with Binary Outcomes," IZA Discussion Papers 6008, Institute of Labor Economics (IZA).
    37. Chuhui Li & Donald S. Poskitt & Xueyan Zhao, 2016. "The Bivariate Probit Model, Maximum Likelihood Estimation, Pseudo True Parameters and Partial Identification," Monash Econometrics and Business Statistics Working Papers 16/16, Monash University, Department of Econometrics and Business Statistics.
    38. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    39. Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
    40. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    41. Kasy, Maximilian, "undated". "Instrumental variables with unrestricted heterogeneity and continuous treatment - DON'T CITE! SEE ERRATUM BELOW," Working Paper 33257, Harvard University OpenScholar.
    42. Anirban Basu & Norma B. Coe & Cole G. Chapman, 2018. "2SLS versus 2SRI: Appropriate methods for rare outcomes and/or rare exposures," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 937-955, June.
    43. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    44. Liu, Nianqing & Vuong, Quang & Xu, Haiqing, 2017. "Rationalization and identification of binary games with correlated types," Journal of Econometrics, Elsevier, vol. 201(2), pages 249-268.
    45. 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.
    46. Jorge Balat & Sukjin Han, 2018. "Multiple Treatments with Strategic Interaction," Papers 1805.08275, arXiv.org, revised Sep 2019.
    47. Andrew Chesher & Adam M. Rosen, 2013. "What Do Instrumental Variable Models Deliver with Discrete Dependent Variables?," American Economic Review, American Economic Association, vol. 103(3), pages 557-562, May.
    48. Klein, Roger & Shen, Chan & Vella, Francis, 2015. "Estimation of marginal effects in semiparametric selection models with binary outcomes," Journal of Econometrics, Elsevier, vol. 185(1), pages 82-94.
    49. Wooyoung Kim & Koohyun Kwon & Soonwoo Kwon & Sokbae (Simon) Lee, 2014. "The identification power of smoothness assumptions in models with counterfactual outcomes," CeMMAP working papers 17/14, Institute for Fiscal Studies.
    50. John C. Ham & Serkan Ozbeklik & Lara D. Shore-Sheppard, 2014. "Estimating Heterogeneous Takeup and Crowd-Out Responses to Existing Medicaid Income Limits and their Nonmarginal Expansions," Journal of Human Resources, University of Wisconsin Press, vol. 49(4), pages 872-905.
    51. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    52. Desire Kedagni & Ismael Mourifie, 2014. "Tightening Bounds In Triangular Systems," Working Papers tecipa-515, University of Toronto, Department of Economics.
    53. Songnian Chen & Shakeeb Khan & Xun Tang, 2020. "Dummy Endogenous Variables in Weakly Separable Multiple Index Models without Monotonicity," Boston College Working Papers in Economics 996, Boston College Department of Economics.
    54. Songnian Chen & Shakeeb Khan & Xun Tang, 2022. "Endogeneity in Weakly Separable Models without Monotonicity," Papers 2208.05047, arXiv.org.
    55. Philipp Eisenhauer & James J. Heckman & Edward Vytlacil, 2015. "The Generalized Roy Model and the Cost-Benefit Analysis of Social Programs," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 413-443.
    56. Lee, Jinhyun, 2013. "Sharp Bounds on Heterogeneous Individual Treatment Responses," SIRE Discussion Papers 2013-89, Scottish Institute for Research in Economics (SIRE).
    57. Maximilian Kasy, 2014. "Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1614-1636.
    58. Sung Jae Jun & Joris Pinkse & Haiqing Xu & Neşe Yıldız, 2016. "Multiple Discrete Endogenous Variables in Weakly-Separable Triangular Models," Econometrics, MDPI, vol. 4(1), pages 1-21, February.

  23. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2010. "Hypothesis Testing in Econometrics," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 75-104, September.
    See citations under working paper version above.
  24. Joseph P. Romano & Azeem M. Shaikh, 2010. "Inference for the Identified Set in Partially Identified Econometric Models," Econometrica, Econometric Society, vol. 78(1), pages 169-211, January.

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    1. Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2016. "Testing many moment inequalities," CeMMAP working papers CWP42/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
    3. Patrick Bajari & Jeremy T. Fox & Stephen Ryan, 2006. "Evaluating Wireless Carrier Consolidation Using Semiparametric Demand Estimation," NBER Working Papers 12425, National Bureau of Economic Research, Inc.
    4. Stoye, Jörg & Kitamura, Yuichi, 2013. "Nonparametric Analysis of Random Utility Models: Testing," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79753, Verein für Socialpolitik / German Economic Association.
    5. Menzel, Konrad, 2014. "Consistent estimation with many moment inequalities," Journal of Econometrics, Elsevier, vol. 182(2), pages 329-350.
    6. 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.
    7. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers CWP43/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Xiaohong Chen & Timothy M. Christensen & Keith O'Hara & Elie Tamer, 2016. "MCMC confidence sets for identified sets," CeMMAP working papers CWP28/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Vikström, Johan & Ridder, Geert & Weidner, Martin, 2018. "Bounds on treatment effects on transitions," Journal of Econometrics, Elsevier, vol. 205(2), pages 448-469.
    10. Elie Tamer & Federico Ciliberto, 2004. "Market Structure and Multiple Equilibria in Airline Markets," 2004 Meeting Papers 52, Society for Economic Dynamics.
    11. Arvanitis, Stelios & Post, Thierry & Potì, Valerio & Karabati, Selcuk, 2021. "Nonparametric tests for Optimal Predictive Ability," International Journal of Forecasting, Elsevier, vol. 37(2), pages 881-898.
    12. Bontemps, Christian & Magnac, Thierry & Maurin, Eric, 2007. "Set Identified Linear Models," IDEI Working Papers 494, Institut d'Économie Industrielle (IDEI), Toulouse.
    13. 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.
    14. 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.
    15. Armstrong, Timothy B., 2014. "Weighted KS statistics for inference on conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 181(2), pages 92-116.
    16. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    17. 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.
    18. 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.
    19. Jorg Stoye & Yuichi Kitamura, 2017. "Nonparametric analysis of random utility models," CeMMAP working papers 56/17, Institute for Fiscal Studies.
    20. 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.
    21. 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.
    22. Donald W.K. Andrews & Xu Cheng & Patrik Guggenberger, 2011. "Generic Results for Establishing the Asymptotic Size of Confidence Sets and Tests," Cowles Foundation Discussion Papers 1813, Cowles Foundation for Research in Economics, Yale University.
    23. Jeremy T. Fox, 2018. "Estimating matching games with transfers," Quantitative Economics, Econometric Society, vol. 9(1), pages 1-38, March.
    24. Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 64/15, Institute for Fiscal Studies.
    25. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    26. Steven F. Lehrer & R. Vincent Pohl & Kyungchul Song, 2016. "Targeting Policies: Multiple Testing and Distributional Treatment Effects," NBER Working Papers 22950, National Bureau of Economic Research, Inc.
    27. 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.
    28. Juan Passadore & Juan Xandri, 2019. "Robust Predictions in Dynamic Policy Games," 2019 Meeting Papers 1345, Society for Economic Dynamics.
    29. Lukáš Lafférs, 2019. "Bounding average treatment effects using linear programming," Empirical Economics, Springer, vol. 57(3), pages 727-767, September.
    30. 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.
    31. Santos, Andres, 2011. "Instrumental variable methods for recovering continuous linear functionals," Journal of Econometrics, Elsevier, vol. 161(2), pages 129-146, April.
    32. Donald S. Poskitt & Xueyan Zhao, 2023. "Bootstrap Hausdorff Confidence Regions for Average Treatment Effect Identified Sets," Monash Econometrics and Business Statistics Working Papers 9/23, Monash University, Department of Econometrics and Business Statistics.
    33. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927, Cowles Foundation for Research in Economics, Yale University.
    34. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Hypothesis testing in econometrics," IEW - Working Papers 444, Institute for Empirical Research in Economics - University of Zurich.
    35. Shuyang Sheng, 2020. "A Structural Econometric Analysis of Network Formation Games Through Subnetworks," Econometrica, Econometric Society, vol. 88(5), pages 1829-1858, September.
    36. Beresteanu, Arie & Molinari, Francesca, 2006. "Asymptotic Properties for a Class of Partially Identified Models," Working Papers 06-04, Duke University, Department of Economics.
    37. Tamer, Elie & Kline, Brendan, 2016. "Bayesian inference in a class of partially identified models," Scholarly Articles 30780157, Harvard University Department of Economics.
    38. Denis Chetverikov, 2012. "Testing regression monotonicity in econometric models," CeMMAP working papers 35/12, Institute for Fiscal Studies.
    39. Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.
    40. 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.
    41. 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.
    42. Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
    43. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2014. "A Practical Two‐Step Method for Testing Moment Inequalities," Econometrica, Econometric Society, vol. 82, pages 1979-2002, September.
    44. Hsu, Yu-Chin & Shen, Shu, 2019. "Testing treatment effect heterogeneity in regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 208(2), pages 468-486.
    45. Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    46. Adam Rosen, 2006. "Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities," CeMMAP working papers CWP25/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    47. Mariagiovanna Baccara & Ayse Imrohoroglu & Alistair J. Wilson & Leeat Yariv, 2012. "A Field Study on Matching with Network Externalities," American Economic Review, American Economic Association, vol. 102(5), pages 1773-1804, August.
    48. Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022. "Inference on estimators defined by mathematical programming," Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
    49. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers 43/17, Institute for Fiscal Studies.
    50. James J. Heckman & Rodrigo Pinto & Azeem M. Shaikh & Adam Yavitz, 2011. "Inference with Imperfect Randomization: The Case of the Perry Preschool Program," NBER Working Papers 16935, National Bureau of Economic Research, Inc.
    51. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers CWP23/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    52. Liao, Yuan & Simoni, Anna, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," MPRA Paper 43262, University Library of Munich, Germany.
    53. 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.
    54. NAKAJIMA Kentaro, 2012. "Transactions as a Source of Agglomeration Economies: Buyer-seller matching in the Japanese manufacturing industry," Discussion papers 12021, Research Institute of Economy, Trade and Industry (RIETI).
    55. Andrew Chesher & Adam Rosen, 2013. "Generalized instrumental variable models," CeMMAP working papers CWP43/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    56. D’Haultfoeuille, Xavier & Rathelot, Roland, 2016. "Measuring Segregation on Small Units: A Partial Identification Analysis," CAGE Online Working Paper Series 291, Competitive Advantage in the Global Economy (CAGE).
    57. Armstrong, Timothy B., 2015. "Asymptotically exact inference in conditional moment inequality models," Journal of Econometrics, Elsevier, vol. 186(1), pages 51-65.
    58. Heckman, James J. & Pinto, Rodrigo & Shaikh, Azeem M., 2023. "Dealing With Imperfect Randomization: Inference for the Highscope Perry Preschool Program," IZA Discussion Papers 16675, Institute of Labor Economics (IZA).
    59. Timothy B. Armstrong & Hock Peng Chan, 2013. "Multiscale Adaptive Inference on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1885R, Cowles Foundation for Research in Economics, Yale University, revised Oct 2014.
    60. Donald W.K. Andrews, 2011. "Similar-on-the-Boundary Tests for Moment Inequalities Exist, But Have Poor Power," Cowles Foundation Discussion Papers 1815R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2012.
    61. Shi, Xiaoxia, 2015. "Model selection tests for moment inequality models," Journal of Econometrics, Elsevier, vol. 187(1), pages 1-17.
    62. Hübler, Olaf, 2013. "Methods in empirical economics - a selective review with applications," Hannover Economic Papers (HEP) dp-513, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    63. Bhattacharya, Jay & Shaikh, Azeem M. & Vytlacil, Edward, 2012. "Treatment effect bounds: An application to Swan–Ganz catheterization," Journal of Econometrics, Elsevier, vol. 168(2), pages 223-243.
    64. JoonHwan Cho & Thomas M. Russell, 2018. "Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments," Papers 1810.03180, arXiv.org, revised May 2023.
    65. Chen, Heng & Fan, Yanqin & Liu, Ruixuan, 2016. "Inference for the correlation coefficient between potential outcomes in the Gaussian switching regime model," Journal of Econometrics, Elsevier, vol. 195(2), pages 255-270.
    66. Ganesh Karapakula & James J. Heckman, 2020. "Using a Satisficing Model of Experimenter Decision-Making to Guide Finite-Sample Inference for Compromised Experiments," NBER Working Papers 27738, National Bureau of Economic Research, Inc.
    67. Christian Bontemps & Rohit Kumar, 2020. "A Geometric Approach to Inference in Set-Identified Entry Games," Post-Print hal-02137356, HAL.
    68. Liao, Yuan & Simoni, Anna, 2019. "Bayesian inference for partially identified smooth convex models," Journal of Econometrics, Elsevier, vol. 211(2), pages 338-360.
    69. Donald W.K. Andrews & Panle Jia, 2008. "Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure," Cowles Foundation Discussion Papers 1676R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2011.
    70. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2015. "Inference for functions of partially identified parameters in moment inequality models," CeMMAP working papers CWP54/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    71. Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The sorted effects method: discovering heterogeneous effects beyond their averages," CeMMAP working papers CWP74/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    72. Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2023. "Constrained Conditional Moment Restriction Models," Econometrica, Econometric Society, vol. 91(2), pages 709-736, March.
    73. Kaido, Hiroaki & White, Halbert, 2014. "A two-stage procedure for partially identified models," Journal of Econometrics, Elsevier, vol. 182(1), pages 5-13.
    74. Nicky L. Grant & Richard J. Smith, 2018. "GEL-Based Inference from Unconditional Moment Inequality Restrictions," Economics Discussion Paper Series 1802, Economics, The University of Manchester.
    75. Le-Yu Chen & Jerzy Szroeter, 2012. "Testing multiple inequality hypotheses: a smoothed indicator approach," CeMMAP working papers CWP16/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    76. A. Norets & X. Tang, 2014. "Semiparametric Inference in Dynamic Binary Choice Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 1229-1262.
    77. Fan, Yanqin & Park, Sang Soo, 2010. "Confidence sets for some partially identified parameters," MPRA Paper 37149, University Library of Munich, Germany.
    78. Nathan Canen & Kyungchul Song, 2021. "Counterfactual analysis under partial identification using locally robust refinement," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(4), pages 416-436, June.
    79. Lujie Zhou, 2024. "Efficient Computation of Confidence Sets Using Classification on Equidistributed Grids," Papers 2401.01804, arXiv.org.
    80. 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.
    81. 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.
    82. 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.
    83. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    84. Kim, Dongwoo, 2023. "Partially identifying competing risks models: An application to the war on cancer," Journal of Econometrics, Elsevier, vol. 234(2), pages 536-564.
    85. 'Agoston Reguly, 2021. "Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers 2106.11640, arXiv.org, revised Oct 2021.
    86. Lehrer, Steven F. & Pohl, R. Vincent & Song, Kyungchul, 2018. "Multiple Testing and the Distributional Effects of Accountability Incentives in Education," MPRA Paper 89532, University Library of Munich, Germany.
    87. Moon, Hyungsik Roger & Schorfheide, Frank, 2009. "Estimation with overidentifying inequality moment conditions," Journal of Econometrics, Elsevier, vol. 153(2), pages 136-154, December.
    88. 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.
    89. 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.
    90. Toru Kitagawa & Jose Luis Montiel Olea & Jonathan Payne & Amilcar Velez, 2019. "Posterior distribution of nondifferentiable functions," CeMMAP working papers CWP17/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    91. Grant, Charles & Padula, Mario, 2013. "Using bounds to investigate household debt repayment behaviour," Research in Economics, Elsevier, vol. 67(4), pages 336-354.
    92. 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.
    93. 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.
    94. Vira Semenova, 2018. "Machine Learning for Dynamic Discrete Choice," Papers 1808.02569, arXiv.org, revised Nov 2018.
    95. Amit Gandhi Gandhi & Zhentong Lu & Xiaoxia Shi, 2013. "Estimating demand for differentiated products with error in market shares," CeMMAP working papers CWP03/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    96. Victor Chernozhukov & Wooyoung Kim & Sokbae Lee & Adam M. Rosen, 2015. "Implementing intersection bounds in Stata," Stata Journal, StataCorp LP, vol. 15(1), pages 21-44, March.
    97. Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2008. "Sharp identification regions in games," CeMMAP working papers CWP15/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    98. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," TSE Working Papers 14-458, Toulouse School of Economics (TSE).
    99. Denis Chetverikov, 2012. "Testing regression monotonicity in econometric models," CeMMAP working papers CWP35/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    100. Kyungchul Song, 2009. "Point Decisions for Interval-Identified Parameters," PIER Working Paper Archive 09-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    101. 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.
    102. David M. Kaplan, 2020. "Inference on Consensus Ranking of Distributions," Working Papers 2010, Department of Economics, University of Missouri.
    103. 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.
    104. Morales, Eduardo & Sheu, Gloria & Zahler, Andrés, 2011. "Gravity and extended gravity: estimating a structural model of export entry," MPRA Paper 30311, University Library of Munich, Germany.
    105. Denis Chetverikov, 2012. "Adaptive test of conditional moment inequalities," CeMMAP working papers 36/12, Institute for Fiscal Studies.
    106. Christian Bontemps & Thierry Magnac, 2017. "Set Identification, Moment Restrictions, and Inference," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
    107. Clemens Possnig & Andreea Rotu{a}rescu & Kyungchul Song, 2022. "Estimating Dynamic Spillover Effects along Multiple Networks in a Linear Panel Model," Papers 2211.08995, arXiv.org.
    108. Jaap H. Abbring & Øystein Daljord, 2020. "Identifying the discount factor in dynamic discrete choice models," Quantitative Economics, Econometric Society, vol. 11(2), pages 471-501, May.
    109. George‐Levi Gayle & Chen Li & Robert A. Miller, 2022. "Was Sarbanes–Oxley Costly? Evidence from Optimal Contracting on CEO Compensation," Journal of Accounting Research, Wiley Blackwell, vol. 60(4), pages 1189-1234, September.
    110. Sung Jae Jun & Yoonseok Lee & Youngki Shin, 2016. "Treatment Effects With Unobserved Heterogeneity: A Set Identification Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 302-311, April.
    111. Hong, Han & Li, Jessie, 2018. "The numerical delta method," Journal of Econometrics, Elsevier, vol. 206(2), pages 379-394.
    112. Panos Toulis, 2020. "Estimation of Covid-19 Prevalence from Serology Tests: A Partial Identification Approach," Papers 2006.16214, arXiv.org.
    113. Andreas Tryphonides, 2017. "Set Identified Dynamic Economies and Robustness to Misspecification," Papers 1712.03675, arXiv.org, revised Jan 2018.
    114. Sasaki, Yuya & Takahashi, Yuya & Xin, Yi & Hu, Yingyao, 2023. "Dynamic discrete choice models with incomplete data: Sharp identification," Journal of Econometrics, Elsevier, vol. 236(1).
    115. Chen, Qihui & Fang, Zheng, 2019. "Inference on functionals under first order degeneracy," Journal of Econometrics, Elsevier, vol. 210(2), pages 459-481.
    116. Xiaohong Chen & Timothy M. Christensen & Keith O'Hara & Elie Tamer, 2016. "MCMC confidence sets for identified sets," CeMMAP working papers 28/16, Institute for Fiscal Studies.
    117. Marc Henry & Romuald Méango & Maurice Queyranne, 2012. "Combinatorial Bootstrap Inference IN in Prtially Identified Incomplete Structural Models," CIRJE F-Series CIRJE-F-837, CIRJE, Faculty of Economics, University of Tokyo.
    118. 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.
    119. Jack Fosten & Daniel Gutknecht & Marc-Oliver Pohle, 2023. "Testing Quantile Forecast Optimality," Papers 2302.02747, arXiv.org, revised Oct 2023.
    120. 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.
    121. Mamadou Yauck, 2022. "On the Estimation of Peer Effects for Sampled Networks," Papers 2208.09102, arXiv.org.
    122. Olaf Hübler, 2014. "Estimation of standard errors and treatment effects in empirical economics—methods and applications [Schätzung von Standardfehlern und Kausaleffekten in der empirischen Wirtschaftsforschung – Metho," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(1), pages 43-62, March.
    123. Yuan Liao & Anna Simoni, 2016. "Bayesian Inference for Partially Identified Convex Models: Is it Valid for Frequentist Inference?," Departmental Working Papers 201607, Rutgers University, Department of Economics.
    124. 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.

  25. Shaikh, Azeem M. & Simonsen, Marianne & Vytlacil, Edward J. & Yildiz, Nese, 2009. "A specification test for the propensity score using its distribution conditional on participation," Journal of Econometrics, Elsevier, vol. 151(1), pages 33-46, July.

    Cited by:

    1. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    2. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    3. Martin Huber, 2010. "Testing for covariate balance using quantile regression and resampling methods," University of St. Gallen Department of Economics working paper series 2010 2010-18, Department of Economics, University of St. Gallen.
    4. 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.
    5. Pedro H. C. Sant'Anna & Xiaojun Song, 2016. "Specification Tests for the Propensity Score," Papers 1611.06217, arXiv.org, revised Feb 2019.
    6. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
    7. Li Liang & Greene Tom, 2013. "A Weighting Analogue to Pair Matching in Propensity Score Analysis," The International Journal of Biostatistics, De Gruyter, vol. 9(2), pages 215-234, July.
    8. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    9. Steven Lehrer & Gregory Kordas, 2013. "Matching using semiparametric propensity scores," Empirical Economics, Springer, vol. 44(1), pages 13-45, February.
    10. Russell Davidson & Victoria Zinde-Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1595-1631, December.
    11. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2014. "Unobservable, but Unimportant? The Influence of Personality Traits (and Other Usually Unobserved Variables) for the Evaluation of Labor Market Policies," IZA Discussion Papers 8337, Institute of Labor Economics (IZA).
    12. Dehejia Rajeev, 2015. "Experimental and Non-Experimental Methods in Development Economics: A Porous Dialectic," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 47-69, June.
    13. Pedro H. C. Sant'Anna & Xiaojun Song, 2020. "Specification tests for generalized propensity scores using double projections," Papers 2003.13803, arXiv.org, revised Apr 2023.
    14. von Eije, Henk & Goyal, Abhinav & Muckley, Cal B., 2014. "Does the information content of payout initiations and omissions influence firm risks?," Journal of Econometrics, Elsevier, vol. 183(2), pages 222-229.

  26. Romano, Joseph P. & Shaikh, Azeem M. & Wolf, Michael, 2008. "Formalized Data Snooping Based On Generalized Error Rates," Econometric Theory, Cambridge University Press, vol. 24(2), pages 404-447, April.
    See citations under working paper version above.
  27. Joseph Romano & Azeem Shaikh & Michael Wolf, 2008. "Rejoinder on: Control of the false discovery rate under dependence using the bootstrap and subsampling," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(3), pages 461-471, November.

    Cited by:

    1. Yu-Min Yen, 2013. "Testing Jumps via False Discovery Rate Control," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-15, April.
    2. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
    3. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
    4. Galizzi, Matteo M. & Navarro-Martínez, Daniel, 2019. "On the external validity of social preference games: a systematic lab-field study," LSE Research Online Documents on Economics 84088, London School of Economics and Political Science, LSE Library.
    5. Christophe Hurlin & Sébastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2017. "Risk Measure Inference," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 499-512, October.
    6. Hyungsik Roger Moon & Benoit Perron, 2011. "Beyond Panel Unit Root Tests: Using Multiple Testing to Determine the Non Stationarity Properties of Individual Series in a Panel," CIRANO Working Papers 2011s-17, CIRANO.
    7. Laurini, Márcio Poletti & Sanvicente, Antônio Zoratto & Monteiro, Rogério da Costa, 2011. "Generalized Tests of Investment Fund Performance," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(2), December.
    8. Becker William & Paruolo Paolo & Saltelli Andrea, 2021. "Variable Selection in Regression Models Using Global Sensitivity Analysis," Journal of Time Series Econometrics, De Gruyter, vol. 13(2), pages 187-233, July.
    9. Roland G. Fryer, Jr. & Steven D. Levitt & John A. List, 2015. "Parental Incentives and Early Childhood Achievement: A Field Experiment in Chicago Heights," NBER Working Papers 21477, National Bureau of Economic Research, Inc.
    10. Campbell R. Harvey & Yan Liu, 2022. "Luck versus Skill in the Cross Section of Mutual Fund Returns: Reexamining the Evidence," Journal of Finance, American Finance Association, vol. 77(3), pages 1921-1966, June.
    11. Bryan D. MacGregor & Rainer Schulz & Yuan Zhao, 2021. "Performance and Market Maturity in Mutual Funds: Is Real Estate Different?," The Journal of Real Estate Finance and Economics, Springer, vol. 63(3), pages 437-492, October.
    12. de Uña-Alvarez Jacobo, 2012. "The Beta-Binomial SGoF method for multiple dependent tests," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(3), pages 1-32, May.
    13. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.
    14. Westerlund, Joakim & Thuraisamy, Kannan & Sharma, Susan, 2015. "On the use of panel cointegration tests in energy economics," Energy Economics, Elsevier, vol. 50(C), pages 359-363.
    15. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Stephan Smeekes, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 398-415, May.
    16. John List & Azeem Shaikh & Yang Xu, 2016. "Multiple Hypothesis Testing in Experimental Economics," Artefactual Field Experiments 00402, The Field Experiments Website.
    17. John A. List & Azeem M. Shaikh & Atom Vayalinkal, 2023. "Multiple testing with covariate adjustment in experimental economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 920-939, September.
    18. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Journal of Finance, American Finance Association, vol. 75(5), pages 2503-2553, October.
    19. Ferreira José A. & Berkhof Johannes & Souverein Olga & Zwinderman Koos, 2009. "A Multiple Testing Approach to High-Dimensional Association Studies with an Application to the Detection of Associations between Risk Factors of Heart Disease and Genetic Polymorphisms," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-56, January.
    20. Miecznikowski, Jeffrey C. & Gold, David & Shepherd, Lori & Liu, Song, 2011. "Deriving and comparing the distribution for the number of false positives in single step methods to control k-FWER," Statistics & Probability Letters, Elsevier, vol. 81(11), pages 1695-1705, November.
    21. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Papers 2006.04269, arXiv.org.
    22. Li Wang & Xingzhong Xu & Yong A, 2016. "New multiple testing method under no dependency assumption, with application to multiple comparisons problem," Statistical Papers, Springer, vol. 57(1), pages 161-183, March.

  28. 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.

    Cited by:

    1. 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.
    2. 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.
    3. Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012. "Comparing features of convenient estimators for binary choice models with endogenous regressors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(3), pages 809-829, August.
    4. Alyssa Carlson, 2021. "Relaxing Conditional Independence in an Endogenous Binary Response Model," Working Papers 2113, Department of Economics, University of Missouri.

  29. Joseph Romano & Azeem Shaikh & Michael Wolf, 2008. "Control of the false discovery rate under dependence using the bootstrap and subsampling," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(3), pages 417-442, November.
    See citations under working paper version above.
  30. Jay Bhattacharya & Azeem M. Shaikh & Edward Vytlacil, 2008. "Treatment Effect Bounds under Monotonicity Assumptions: An Application to Swan-Ganz Catheterization," American Economic Review, American Economic Association, vol. 98(2), pages 351-356, May.

    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. Wooyoung Kim & Koohyun Kwon & Soonwoo Kwon & Sokbae Lee, 2018. "The identification power of smoothness assumptions in models with counterfactual outcomes," Quantitative Economics, Econometric Society, vol. 9(2), pages 617-642, July.
    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. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    5. 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.
    6. Denni Tommasi & Lina Zhang, 2020. "Bounding Program Benefits When Participation is Misreported," Monash Econometrics and Business Statistics Working Papers 24/20, Monash University, Department of Econometrics and Business Statistics.
    7. Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 64/15, Institute for Fiscal Studies.
    8. German Blanco & Carlos A. Flores & Alfonso Flores-Lagunes, 2013. "Bounds on Average and Quantile Treatment Effects of Job Corps Training on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 659-701.
    9. 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.
    10. Marc Henry & Ismael Mourifié, 2012. "Sharp Bounds in the Binary Roy Model," CIRANO Working Papers 2012s-06, CIRANO.
    11. Julie Buhl-Wiggers & Jason Kerwin & Juan Muñoz-Morales & Jeffrey Smith & Rebecca Thornton, 2022. "Some children left behind: Variation in the effects of an educational intervention," Post-Print hal-03972201, HAL.
    12. Domenico Depalo & Santiago Pereda-Fernández, 2020. "Consistent estimates of the public/private wage gap," Empirical Economics, Springer, vol. 58(6), pages 2937-2947, June.
    13. Domenico Depalo & Jay Bhattacharya & Vincenzo Atella & Federico Belotti, 2019. "When Technological Advance Meets Physician Learning in Drug Prescribing," NBER Working Papers 26202, National Bureau of Economic Research, Inc.
    14. Ann P. Bartel & Carri W. Chan & Song-Hee Kim, 2020. "Should Hospitals Keep Their Patients Longer? The Role of Inpatient Care in Reducing Postdischarge Mortality," Management Science, INFORMS, vol. 66(6), pages 2326-2346, June.
    15. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2008. "Instrumental Variables in Models with Multiple Outcomes: The General Unordered Case," Annals of Economics and Statistics, GENES, issue 91-92, pages 151-174.
    16. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2017. "Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training," GLO Discussion Paper Series 93, Global Labor Organization (GLO).
    17. Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
    18. Ismael MOURIFIÉ, 2013. "Sharp Bounds On Treatment Effects In A Binary Triangular System," Working Papers tecipa-498, University of Toronto, Department of Economics.
    19. Kedagni, Desire, 2021. "Identifying treatment effects in the presence of confounded types," ISU General Staff Papers 202106050700001056, Iowa State University, Department of Economics.
    20. Sukjin Han & Sungwon Lee, 2019. "Estimation in a generalization of bivariate probit models with dummy endogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 994-1015, September.
    21. Bhattacharya, Jay & Shaikh, Azeem M. & Vytlacil, Edward, 2012. "Treatment effect bounds: An application to Swan–Ganz catheterization," Journal of Econometrics, Elsevier, vol. 168(2), pages 223-243.
    22. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    23. Sokbae Lee & Martin Weidner, 2021. "Bounding Treatment Effects by Pooling Limited Information across Observations," Papers 2111.05243, arXiv.org, revised Dec 2023.
    24. Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
    25. German Blanco & Carlos A. Flores & Alfonso Flores-Lagunes, 2013. "The Effects of Job Corps Training on Wages of Adolescents and Young Adults," American Economic Review, American Economic Association, vol. 103(3), pages 418-422, May.
    26. 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.
    27. Kyungchul Song, 2009. "Point Decisions for Interval-Identified Parameters," PIER Working Paper Archive 09-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    28. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    29. Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
    30. Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
    31. Lee, Jinhyun, 2013. "Sharp Bounds on Heterogeneous Individual Treatment Responses," SIRE Discussion Papers 2013-89, Scottish Institute for Research in Economics (SIRE).

Chapters

  1. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2010. "multiple testing," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.

    Cited by:

    1. David Afshartous & Michael Wolf, 2007. "Avoiding ‘data snooping’ in multilevel and mixed effects models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 1035-1059, October.
    2. Sneha Elango & Jorge Luis García & James J. Heckman & Andrés Hojman, 2015. "Early Childhood Education," NBER Working Papers 21766, National Bureau of Economic Research, Inc.
    3. Cushman, David O. & De Vita, Glauco, 2017. "Exchange rate regimes and FDI in developing countries: A propensity score matching approach," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 143-163.
    4. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Hypothesis testing in econometrics," IEW - Working Papers 444, Institute for Empirical Research in Economics - University of Zurich.
    5. Barras, Laurent & Scaillet, Olivier & Wermers, Russ, 2009. "False discoveries in mutual fund performance: Measuring luck in estimated alphas," CFR Working Papers 06-02, University of Cologne, Centre for Financial Research (CFR).
    6. Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143-166.
    7. Tania Singer & Ernst Fehr, 2005. "The Neuroeconomics of Mind Reading and Empathy," American Economic Review, American Economic Association, vol. 95(2), pages 340-345, May.
    8. Fehr, Ernst & Falk, Armin & Zehnder, Christian, 2005. "The Behavioural Effects of Minimum Wages," CEPR Discussion Papers 5115, C.E.P.R. Discussion Papers.
    9. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2008. "Control of the False Discovery Rate under Dependence using the Bootstrap and Subsampling," IEW - Working Papers 337, Institute for Empirical Research in Economics - University of Zurich.
    10. Joseph P & Romano & Azeem M. Shaikh & Michael Wolf, 2005. "Formalized Data Snooping Based on Generalized Error Rates," IEW - Working Papers 259, Institute for Empirical Research in Economics - University of Zurich.
    11. Joseph P. Romano & Michael Wolf, 2008. "Balanced Control of Generalized Error Rates," IEW - Working Papers 379, Institute for Empirical Research in Economics - University of Zurich.

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