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Andrew Chesher

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Arnstein Aassve & Simon Burgess & Andrew Chesher & Carol Propper, 2002. "Transitions from home to marriage of young Americans," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(1), pages 1-23.

    Mentioned in:

    1. Transitions from home to marriage of young Americans (Journal of Applied Econometrics 2002) in ReplicationWiki ()
  2. Andrew Chesher, 1998. "Individual demands from household aggregates: time and age variation in the composition of diet," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 505-524.

    Mentioned in:

    1. Individual demands from household aggregates: time and age variation in the composition of diet (Journal of Applied Econometrics 1998) in ReplicationWiki ()

Working papers

  1. Andrew Chesher & Adam Rosen & Yuanqi Zhang, 2023. "Identification analysis in models with unrestricted latent variables: Fixed effects and initial conditions," CeMMAP working papers 20/23, Institute for Fiscal Studies.

    Cited by:

    1. Wayne Yuan Gao & Rui Wang, 2023. "Identification of Nonlinear Dynamic Panels under Partial Stationarity," Papers 2401.00264, arXiv.org, revised May 2024.

  2. Andrew Chesher & Dongwoo Kim & Adam Rosen, 2021. "IV methods for Tobit models," CeMMAP working papers CWP26/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Yen H. T. Nguyen & Tuyen Q. Tran & Dung T. Hoang & Thu M. T. Tran & Trung T. Nguyen, 2023. "Land quality, income, and poverty among rural households in the North Central Region, Vietnam," Poverty & Public Policy, John Wiley & Sons, vol. 15(2), pages 150-172, June.

  3. Andrew Chesher & Adam Rosen, 2020. "Econometric Modeling of Interdependent Discrete Choice with Applications to Market Structure," CeMMAP working papers CWP25/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Andres Aradillas-Lopez & Adam Rosen, 2013. "Inference in ordered response games with complete information," CeMMAP working papers 33/13, Institute for Fiscal Studies.
    2. Lixiong Li & D'esir'e K'edagni & Ismael Mourifi'e, 2020. "Discordant Relaxations of Misspecified Models," Papers 2012.11679, arXiv.org, revised Apr 2024.
    3. 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.
    4. Chesher, Andrew & Kim, Dongwoo & Rosen, Adam M., 2023. "IV methods for Tobit models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1700-1724.
    5. , 2023. "Price Competition and Endogenous Product Choice in Networks: Evidence from the US airline Industry," Working Papers 950, Queen Mary University of London, School of Economics and Finance.
    6. Eleni Aristodemou & Adam M. Rosen, 2022. "A discrete choice model for partially ordered alternatives," Quantitative Economics, Econometric Society, vol. 13(3), pages 863-906, July.
    7. Bontemps, Christian & Gualdani, Cristina & Remmy, Kevin, 2023. "Price Competition and Endogenous Product Choice in Networks: Evidence from the US Airline Industry," TSE Working Papers 23-1415, Toulouse School of Economics (TSE).
    8. Eleni Aristodemou, 2021. "A discrete choice model for partially ordered alternatives," CeMMAP working papers CWP35/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  4. Andrew Chesher & Adam Rosen, 2020. "Structural modeling of simultaneous discrete choice," CeMMAP working papers CWP9/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Hoshino, Tadao & Yanagi, Takahide, 2023. "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, vol. 236(2).
    2. Tadao Hoshino, 2020. "A Pairwise Strategic Network Formation Model with Group Heterogeneity: With an Application to International Travel," Papers 2012.14886, arXiv.org, revised Feb 2021.
    3. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.

  5. Andrew Chesher & Adam Rosen & Zahra Siddique, 2019. "Estimating Endogenous Effects on Ordinal Outcomes," CeMMAP working papers CWP66/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Andres Aradillas-Lopez & Adam Rosen, 2013. "Inference in ordered response games with complete information," CeMMAP working papers 33/13, Institute for Fiscal Studies.
    2. Andrew Chesher & Adam Rosen, 2020. "Econometric Modeling of Interdependent Discrete Choice with Applications to Market Structure," CeMMAP working papers CWP25/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Eleni Aristodemou, 2021. "A discrete choice model for partially ordered alternatives," CeMMAP working papers CWP35/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  6. 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.

    Cited by:

    1. 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.
    2. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    3. 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.
    4. Nagasawa, Kenichi, 2020. "Identification and Estimation of Group-Level Partial Effects," The Warwick Economics Research Paper Series (TWERPS) 1243, University of Warwick, Department of Economics.

  7. Andrew Chesher, 2017. "Understanding the effect of measurement error on quantile regressions," CeMMAP working papers 19/17, Institute for Fiscal Studies.

    Cited by:

    1. Jochmans, K. & Weidner, M., 2019. "Inference on a distribution from noisy draws," Cambridge Working Papers in Economics 1946, Faculty of Economics, University of Cambridge.
    2. Oconnor, Christopher, 2023. "Robust estimates of vulnerability to poverty using quantile models," Economic Modelling, Elsevier, vol. 123(C).
    3. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.

  8. Andrew Chesher & Adam Rosen, 2017. "Incomplete English auction models with heterogeneity," CeMMAP working papers 27/17, Institute for Fiscal Studies.

    Cited by:

    1. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.

  9. Andrew Chesher & Adam Rosen, 2016. "Characterizations of identified sets delivered by structural econometric models," CeMMAP working papers 44/16, Institute for Fiscal Studies.

    Cited by:

    1. 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.
    2. Arie Beresteanu, 2020. "Quantile Regression with Interval Data," Working Paper 6899, Department of Economics, University of Pittsburgh.
    3. Steven T. Berry & Philip A. Haile, 2015. "Identification of Nonparametric Simultaneous Equations Models with a Residual Index Structure," Cowles Foundation Discussion Papers 2008, Cowles Foundation for Research in Economics, Yale University.
    4. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.

  10. Andrew Chesher & Adam Rosen, 2015. "Counterfactual worlds," CeMMAP working papers 22/15, Institute for Fiscal Studies.

    Cited by:

    1. Firpo, Sergio & Galvao, Antonio F. & Parker, Thomas, 2023. "Uniform inference for value functions," Journal of Econometrics, Elsevier, vol. 235(2), pages 1680-1699.

  11. Andrew Chesher & Adam Rosen, 2015. "Identification of the distribution of valuations in an incomplete model of English auctions," CeMMAP working papers 30/15, Institute for Fiscal Studies.

    Cited by:

    1. Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
    2. Andrew Chesher & Adam Rosen, 2017. "Incomplete English auction models with heterogeneity," CeMMAP working papers 27/17, Institute for Fiscal Studies.
    3. Marleen Marra, 2020. "Sample Spacings for Identification: The Case of English Auctions with Absentee Bidding," SciencePo Working papers Main hal-03878412, HAL.

  12. Andrew Chesher & Adam Rosen, 2014. "Generalized instrumental variable models," CeMMAP working papers 04/14, Institute for Fiscal Studies.

    Cited by:

    1. Andres Aradillas-Lopez & Adam Rosen, 2013. "Inference in ordered response games with complete information," CeMMAP working papers 33/13, Institute for Fiscal Studies.
    2. 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.
    3. Jóna, György & Tóth, Tamás, 2017. "Spatial Effects And Externalities Of The Rivals’ Networks In Hungary," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 5(3), pages 189-207.
    4. Matthew A. Masten & Alexandre Poirier, 2018. "Interpreting Quantile Independence," Papers 1804.10957, arXiv.org.
    5. Steven T Berry & Giovanni Compiani, 2023. "An Instrumental Variable Approach to Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1724-1758.
    6. Larry G. Epstein & Hiroaki Kaido & Kyoungwon Seo, 2015. "Robust Confidence Regions for Incomplete Models," Boston University - Department of Economics - Working Papers Series wp2015-008, Boston University - Department of Economics.
    7. Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015. "The triangular model with random coefficients," CeMMAP working papers CWP33/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. 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.
    9. 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.
    10. 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.
    11. Andrew Chesher & Adam M. Rosen, 2021. "Counterfactual Worlds," Annals of Economics and Statistics, GENES, issue 142, pages 311-335.
    12. 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.
    13. Bontemps, Christian & Kumar, Rohit, 2018. "A Geometric Approach to Inference in Set-Identified Entry Games," TSE Working Papers 18-943, Toulouse School of Economics (TSE), revised Mar 2019.
    14. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    15. Lixiong Li & Marc Henry, 2022. "Finite Sample Inference in Incomplete Models," Papers 2204.00473, arXiv.org, revised Apr 2024.
    16. Áureo de Paula, 2015. "Econometrics of network models," CeMMAP working papers CWP52/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    18. Li, Chuhui & Poskitt, D.S. & Zhao, Xueyan, 2019. "The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification," Journal of Econometrics, Elsevier, vol. 209(1), pages 94-113.
    19. Chesher, Andrew & Kim, Dongwoo & Rosen, Adam M., 2023. "IV methods for Tobit models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1700-1724.
    20. Watanabe, Hajime & Maruyama, Takuya, 2023. "A Bayesian instrumental variable model for multinomial choice with correlated alternatives," Journal of choice modelling, Elsevier, vol. 46(C).
    21. Kalouptsidi, Myrto & Scott, Paul T. & Souza-Rodrigues, Eduardo, 2021. "Linear IV regression estimators for structural dynamic discrete choice models," Journal of Econometrics, Elsevier, vol. 222(1), pages 778-804.
    22. Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.
    23. Allen, Roy, 2022. "Injectivity and the law of demand," Economics Letters, Elsevier, vol. 215(C).
    24. Hubner, Stefan, 2016. "Topics in nonparametric identification and estimation," Other publications TiSEM 08fce56b-3193-46e0-871b-0, Tilburg University, School of Economics and Management.
    25. Adam Rosen & Takuya Ura, 2020. "Finite Sample Inference for the Maximum Score Estimand," CeMMAP working papers CWP22/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Andrew Chesher & Adam Rosen, 2014. "Generalized instrumental variable models," CeMMAP working papers 04/14, Institute for Fiscal Studies.
    27. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," TSE Working Papers 14-458, Toulouse School of Economics (TSE).
    28. Andrew Chesher & Adam Rosen, 2017. "Incomplete English auction models with heterogeneity," CeMMAP working papers 27/17, Institute for Fiscal Studies.
    29. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
    30. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
    31. Victor Chernozhukov & Denis Chetverikov & Kengo Kato & Yuta Koike, 2022. "High-dimensional Data Bootstrap," Papers 2205.09691, arXiv.org.
    32. Eleni Aristodemou & Adam M. Rosen, 2022. "A discrete choice model for partially ordered alternatives," Quantitative Economics, Econometric Society, vol. 13(3), pages 863-906, July.
    33. Andrew Chesher & Adam Rosen & Yuanqi Zhang, 2024. "Robust analysis of short panels," CeMMAP working papers 01/24, Institute for Fiscal Studies.
    34. Hiroaki Kaido & Yi Zhang, 2019. "Robust likelihood ratio tests for incomplete economic models," CeMMAP working papers CWP68/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    35. Tatiana Komarova & William Matcham, 2022. "Multivariate ordered discrete response models," Papers 2205.05779, arXiv.org, revised Mar 2023.
    36. Andrew Chesher & Adam Rosen & Zahra Siddique, 2019. "Estimating Endogenous Effects on Ordinal Outcomes," CeMMAP working papers CWP66/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    37. José-Ignacio Antón & René Böheim & Rudolf Winter-Ebmer, 2022. "The effect of migration on unionization in Austria," Empirical Economics, Springer, vol. 63(5), pages 2693-2720, November.
    38. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    39. Andrew Chesher & Adam Rosen, 2015. "Identification of the distribution of valuations in an incomplete model of English auctions," CeMMAP working papers 30/15, Institute for Fiscal Studies.
    40. Eleni Aristodemou, 2021. "A discrete choice model for partially ordered alternatives," CeMMAP working papers CWP35/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    41. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    42. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    43. Felix Chan & Laszlo Matyas & Agoston Reguly, 2024. "Modelling with Discretized Variables," Papers 2403.15220, arXiv.org.
    44. Iaria, Alessandro & ,, 2020. "Identification and Estimation of Demand for Bundles," CEPR Discussion Papers 14363, C.E.P.R. Discussion Papers.
    45. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    46. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    47. Yechan Park & Yuya Sasaki, 2024. "The Informativeness of Combined Experimental and Observational Data under Dynamic Selection," Papers 2403.16177, arXiv.org.

  13. Andrew Chesher & Adam Rosen, 2013. "What do instrumental variable models deliver with discrete dependent variables?," CeMMAP working papers 10/13, Institute for Fiscal Studies.

    Cited by:

    1. 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.
    2. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    3. Aparicio Fenoll, Ainoa & Oppedisano, Veruska, 2014. "Should I Stay or Should I Go? Sibling Effects in Household Formation," IZA Discussion Papers 8713, Institute of Labor Economics (IZA).
    4. Li, Chuhui & Poskitt, D.S. & Zhao, Xueyan, 2019. "The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification," Journal of Econometrics, Elsevier, vol. 209(1), pages 94-113.
    5. 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.
    6. Porgo, Mohamed & Kuwornu, John K.M. & Zahonogo, Pam & Jatoe, John Baptist D. & Egyir, Irene S., 2018. "Credit constraints and cropland allocation decisions in rural Burkina Faso," Land Use Policy, Elsevier, vol. 70(C), pages 666-674.
    7. Blunch, Niels-Hugo & Datta Gupta, Nabanita, 2020. "Mothers’ health knowledge gap for children with diarrhea: A decomposition analysis across caste and religion in India," World Development, Elsevier, vol. 126(C).
    8. Andrew Chesher & Adam Rosen, 2014. "Generalized instrumental variable models," CeMMAP working papers 04/14, Institute for Fiscal Studies.
    9. Stephan, Gesine & van den Berg, Gerard & Homrighausen, Pia, 2016. "Randomizing information on a targeted wage support program for older workers: A field experiment," VfS Annual Conference 2016 (Augsburg): Demographic Change 145487, Verein für Socialpolitik / German Economic Association.
    10. Antonio Acconcia & Carla Ronza, 2021. "The Stability Effect of Elected Women: Gender or Seniority?," CSEF Working Papers 611, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 15 Feb 2023.
    11. 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.
    12. Manuel Denzer, 2019. "Estimating Causal Effects in Binary Response Models with Binary Endogenous Explanatory Variables - A Comparison of Possible Estimators," Working Papers 1916, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    13. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    14. Öberg, Stefan, 2021. "The casual effect of fertility: The multiple problems with instrumental variables for the number of children in families," SocArXiv peuvz, Center for Open Science.

  14. Andrew Chesher & Adam Rosen, 2012. "Simultaneous equations for discrete outcomes: coherence, completeness, and identification," CeMMAP working papers 21/12, Institute for Fiscal Studies.

    Cited by:

    1. Andres Aradillas-Lopez & Adam Rosen, 2013. "Inference in ordered response games with complete information," CeMMAP working papers 33/13, Institute for Fiscal Studies.
    2. Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
    3. 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.
    4. Bramoullé, Yann & Boucher, Vincent, 2020. "Binary Outcomes and Linear Interactions," CEPR Discussion Papers 15505, C.E.P.R. Discussion Papers.
    5. James J. Heckman & Rodrigo Pinto, 2013. "Causal Analysis after Haavelmo," Working Papers 2013-008, Human Capital and Economic Opportunity Working Group.
    6. Hoshino, Tadao & Yanagi, Takahide, 2023. "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, vol. 236(2).
    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. Andrew Chesher & Adam M. Rosen, 2021. "Counterfactual Worlds," Annals of Economics and Statistics, GENES, issue 142, pages 311-335.
    9. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    10. Andrew Chesher & Adam Rosen, 2020. "Structural modeling of simultaneous discrete choice," CeMMAP working papers CWP9/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Andrew Chesher & Adam Rosen, 2020. "Econometric Modeling of Interdependent Discrete Choice with Applications to Market Structure," CeMMAP working papers CWP25/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Julia Pullbeck & Firmin Doko Tchatoka, 2020. "Inherent effects of corruption on the erosion of political trust in developing countries:Evidence from Ghana," School of Economics and Public Policy Working Papers 2020-01, University of Adelaide, School of Economics and Public Policy.
    13. Áureo de Paula, 2013. "Econometric Analysis of Games with Multiple Equilibria," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 107-131, May.
    14. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    15. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Jorge Balat & Sukjin Han, 2018. "Multiple Treatments with Strategic Interaction," Papers 1805.08275, arXiv.org, revised Sep 2019.
    17. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Sokbae (Simon) Lee & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2014. "Testing for a general class of functional inequalities," CeMMAP working papers 09/14, Institute for Fiscal Studies.
    19. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    20. Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki & Sherman, Robert, 2018. "Nonparametric identification of the distribution of random coefficients in binary response static games of complete information," Journal of Econometrics, Elsevier, vol. 206(1), pages 83-102.

  15. Andrew Chesher & Adam Rosen, 2012. "An instrumental variable random coefficients model for binary outcomes," CeMMAP working papers 34/12, Institute for Fiscal Studies.

    Cited by:

    1. 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.
    2. 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.
    3. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    4. Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010, Cowles Foundation for Research in Economics, Yale University.
    5. Jiaying Gu & Roger Koenker, 2018. "Nonparametric maximum likelihood methods for binary response models with random coefficients," CeMMAP working papers CWP65/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.

  16. Andrew Chesher & Adam Rosen & Konrad Smolinski, 2011. "An instrumental variable model of multiple discrete choice," CeMMAP working papers CWP06/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    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. 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. Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
    4. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    5. 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. 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.
    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. Andrew Chesher & Adam M. Rosen, 2021. "Counterfactual Worlds," Annals of Economics and Statistics, GENES, issue 142, pages 311-335.
    9. Gualdani, Cristina & Sinha, Shruti, 2019. "Partial identification in matching models for the marriage market," TSE Working Papers 19-993, Toulouse School of Economics (TSE), revised Aug 2022.
    10. Lixiong Li & Marc Henry, 2022. "Finite Sample Inference in Incomplete Models," Papers 2204.00473, arXiv.org, revised Apr 2024.
    11. Victor Chernozhukov & Christian Hansen, 2013. "Quantile models with endogeneity," CeMMAP working papers CWP25/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Andrew Chesher & Adam Rosen, 2012. "An instrumental variable random coefficients model for binary outcomes," CeMMAP working papers 34/12, Institute for Fiscal Studies.
    13. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    14. Marc Henry & Ismael Mourifié, 2012. "Sharp Bounds in the Binary Roy Model," CIRANO Working Papers 2012s-06, CIRANO.
    15. Andrew Chesher & Adam Rosen, 2020. "Structural modeling of simultaneous discrete choice," CeMMAP working papers CWP9/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.
    17. Rui Wang, 2023. "Testing and Identifying Substitution and Complementarity Patterns," Papers 2304.00678, arXiv.org.
    18. Watanabe, Hajime & Maruyama, Takuya, 2023. "A Bayesian instrumental variable model for multinomial choice with correlated alternatives," Journal of choice modelling, Elsevier, vol. 46(C).
    19. Andrew Chesher & Adam Rosen, 2020. "Econometric Modeling of Interdependent Discrete Choice with Applications to Market Structure," CeMMAP working papers CWP25/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Andrew Chesher & Adam Rosen, 2014. "Generalized instrumental variable models," CeMMAP working papers 04/14, Institute for Fiscal Studies.
    21. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
    22. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Romuald Méango, 2014. "International Student Migration: A Partial Identification Analysis," CESifo Working Paper Series 4677, CESifo.
    24. Eleni Aristodemou & Adam M. Rosen, 2022. "A discrete choice model for partially ordered alternatives," Quantitative Economics, Econometric Society, vol. 13(3), pages 863-906, July.
    25. Andrew Chesher & Adam Rosen, 2012. "Simultaneous equations for discrete outcomes: coherence, completeness, and identification," CeMMAP working papers 21/12, Institute for Fiscal Studies.
    26. Guevara, C. Angelo, 2015. "Critical assessment of five methods to correct for endogeneity in discrete-choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 240-254.
    27. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    28. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. 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.
    30. Eleni Aristodemou, 2021. "A discrete choice model for partially ordered alternatives," CeMMAP working papers CWP35/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Vishal Kamat & Samuel Norris & Matthew Pecenco, 2023. "Identification in Multiple Treatment Models under Discrete Variation," Papers 2307.06174, arXiv.org.
    32. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.

  17. Andrew Chesher, 2011. "Semiparametric structural models of binary response: shape restrictions and partial identification," CeMMAP working papers CWP31/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. 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.
    2. Matthew Gentry & Tong Li, 2012. "Identification in auctions with selective entry," CeMMAP working papers 38/12, Institute for Fiscal Studies.
    3. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    4. Matthew Gentry & Tong Li, 2014. "Identification in Auctions With Selective Entry," Econometrica, Econometric Society, vol. 82(1), pages 315-344, January.
    5. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    6. Xiaohong Chen & Matthew Gentry & Tong Li & Jingfeng Lu, 2020. "Identification and Inference in First-Price Auctions with Risk Averse Bidders and Selective Entry," Cowles Foundation Discussion Papers 2257, Cowles Foundation for Research in Economics, Yale University.

  18. Andrew Chesher & Konrad Smolinski, 2010. "Sharp identified sets for discrete variable IV models," CeMMAP working papers CWP11/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Matthew Gentry & Tong Li, 2012. "Identification in auctions with selective entry," CeMMAP working papers 38/12, Institute for Fiscal Studies.
    2. Victor Chernozhukov & Christian Hansen, 2013. "Quantile models with endogeneity," CeMMAP working papers CWP25/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.

  19. Erich Battistin & Andrew Chesher, 2009. "Treatment effect estimation with covariate measurement error," CeMMAP working papers CWP25/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. 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.
    2. Zhuan Pei & Jörn-Steffen Pischke & Hannes Schwandt, 2017. "Poorly Measured Confounders are More Useful on the Left Than on the Right," NBER Working Papers 23232, National Bureau of Economic Research, Inc.
    3. Chiara Criscuolo & Ralf Martin & Henry G. Overman & John Van Reenen, 2012. "Some Causal Effects of an Industrial Policy," CEP Discussion Papers dp1113, Centre for Economic Performance, LSE.
    4. Andrew Chesher, 2017. "Understanding the effect of measurement error on quantile regressions," CeMMAP working papers CWP19/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Battistin, Erich & Chesher, Andrew, 2014. "Treatment effect estimation with covariate measurement error," Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
    6. Caliendo, Marco & Künn, Steffen & Weißenberger, Martin, 2016. "Personality Traits and the Evaluation of Start-Up Subsidies," IZA Discussion Papers 9628, Institute of Labor Economics (IZA).
    7. Maciej Jakubowski, 2015. "Latent variables and propensity score matching: a simulation study with application to data from the Programme for International Student Assessment in Poland," Empirical Economics, Springer, vol. 48(3), pages 1287-1325, May.
    8. Hao Dong & Daniel L. Millimet, 2020. "Propensity Score Weighting with Mismeasured Covariates: An Application to Two Financial Literacy Interventions," Departmental Working Papers 2013, Southern Methodist University, Department of Economics.
    9. Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2017. "Modeling heaped duration data: An application to neonatal mortality," Journal of Econometrics, Elsevier, vol. 200(2), pages 363-377.
    10. Erich Battistin & Agar Brugiavini & Enrico Rettore & Guglielmo Weber, 2008. "The retirement consumption puzzle: evidence from a regression discontinuity approach," IFS Working Papers W08/05, Institute for Fiscal Studies.
    11. Andrei Zeleneev & Kirill Evdokimov, 2023. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 10/23, Institute for Fiscal Studies.
    12. Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Mar 2024.
    13. Yingying Dong, 2012. "Regression Discontinuity Applications with Rounding Errors in the Running Variable," Working Papers 111206, University of California-Irvine, Department of Economics.
    14. Toru Kitagawa & Martin Nybom & Jan Stuhler, 2018. "Measurement error and rank correlations," CeMMAP working papers CWP28/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  20. Andrew Chesher & Konrad Smolinski, 2009. "IV models of ordered choice," CeMMAP working papers CWP37/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Andres Aradillas-Lopez & Adam Rosen, 2013. "Inference in ordered response games with complete information," CeMMAP working papers 33/13, Institute for Fiscal Studies.
    2. 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.
    3. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    4. Biørn, Erik, 2017. "Identification, Instruments, Omitted Variables, and Rudimentary Models: Fallacies in the ‘Experimental Approach’ to Econometrics," Memorandum 13/2017, Oslo University, Department of Economics.
    5. Zhou Xun, 2015. "Preference for Redistribution and Inequality Perception in China: Evidence from the CGSS 2006," AMSE Working Papers 1518, Aix-Marseille School of Economics, France.
    6. Seya, Hajime & Nakamichi, Kumiko & Yamagata, Yoshiki, 2016. "The residential parking rent price elasticity of car ownership in Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 123-134.
    7. Andrew Chesher & Adam Rosen, 2014. "Generalized instrumental variable models," CeMMAP working papers 04/14, Institute for Fiscal Studies.
    8. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," TSE Working Papers 14-458, Toulouse School of Economics (TSE).
    9. Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010, Cowles Foundation for Research in Economics, Yale University.
    10. Zhou Xun, 2015. "Preference for Redistribution and Inequality Perception in China: Evidence from the CGSS 2006," Working Papers halshs-01143131, HAL.
    11. Rob Pryce & Ian Walker & Rhys Wheeler, 2017. "How much of a problem is problem gambling?," Working Papers 167235280, Lancaster University Management School, Economics Department.
    12. Andrew Chesher & Konrad Smolinski, 2010. "Sharp identified sets for discrete variable IV models," CeMMAP working papers CWP11/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Andrei A. Sirchenko, 2017. "An endogenous regime-switching model of ordered choice with an application to federal funds rate target," 2017 Papers psi424, Job Market Papers.
    14. Andrew Chesher & Adam Rosen & Zahra Siddique, 2019. "Estimating Endogenous Effects on Ordinal Outcomes," CeMMAP working papers CWP66/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Zhou Xun & Michel Lubrano, 2022. "Preference for Redistribution, Poverty Perception among Chinese Migrants," Working Papers hal-03886239, HAL.
    16. Eleni (E.) Aristodemou, 2018. "Semiparametric Identification in Panel Data Discrete Response Models," Tinbergen Institute Discussion Papers 18-065/III, Tinbergen Institute.
    17. Cameron McIntosh, 2014. "The presence of an error term does not preclude causal inference in regression: a comment on Krause (2012)," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 243-250, January.
    18. Kajal Lahiri & Liu Yang, 2021. "Estimating Endogenous Ordered Response Panel Data Models with an Application to Income Gradient in Child Health," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 207-243, November.
    19. Vo, Long Hai & Le, Thai-Ha & Park, Donghyun, 2022. "Digital Divide Decoded: Can E-Commerce and Remote Workforce Enhance Enterprise Resilience in the COVID-19 Era?," ADB Economics Working Paper Series 667, Asian Development Bank.

  21. Andrew Chesher, 2009. "Single equation endogenous binary reponse models," CeMMAP working papers CWP23/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    2. Charles Bellemare & Alexander Sebald, 2011. "Learning about a Class of Belief-Dependent Preferences without Information on Beliefs," Cahiers de recherche 1125, CIRPEE.
    3. Kaido, Hiroaki, 2016. "A dual approach to inference for partially identified econometric models," Journal of Econometrics, Elsevier, vol. 192(1), pages 269-290.
    4. Andrew Chesher & Konrad Smolinski, 2010. "Sharp identified sets for discrete variable IV models," CeMMAP working papers CWP11/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  22. Andrew Chesher, 2008. "Instrumental variable models for discrete outcomes," CeMMAP working papers CWP30/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Andres Aradillas-Lopez & Adam Rosen, 2013. "Inference in ordered response games with complete information," CeMMAP working papers 33/13, Institute for Fiscal Studies.
    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. Steven T Berry & Giovanni Compiani, 2023. "An Instrumental Variable Approach to Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1724-1758.
    4. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    5. Siti Nur Azizah & Samsubar Saleh & Eny Sulistyaningrum, 2022. "The Effect of Working Mother Status on Children’s Education Attainment: Evidence from Longitudinal Data," Economies, MDPI, vol. 10(2), pages 1-22, February.
    6. Joeri Smits & Jeffrey S. Racine, 2013. "Testing Exclusion Restrictions in Nonseparable Triangular Models," Department of Economics Working Papers 2013-02, McMaster University.
    7. Tom M. Palmer & Roland R. Ramsahai & Vanessa Didelez & Nuala A. Sheehan, 2011. "Nonparametric bounds for the causal effect in a binary instrumental-variable model," Stata Journal, StataCorp LP, vol. 11(3), pages 345-367, September.
    8. Koen Jochmans, 2011. "Identification in Bivariate binary-choice Models with elliptical innovations," SciencePo Working papers Main hal-01069483, HAL.
    9. Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
    10. 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.
    11. Joshua R. Bruce & John M. de Figueiredo & Brian S. Silverman, 2019. "Public contracting for private innovation: Government capabilities, decision rights, and performance outcomes," Strategic Management Journal, Wiley Blackwell, vol. 40(4), pages 533-555, April.
    12. 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.
    13. Taylor, Luke & Otsu, Taisuke, 2016. "Estimation of nonseparable models with censored dependent variables and endogenous regressors," LSE Research Online Documents on Economics 68678, London School of Economics and Political Science, LSE Library.
    14. Yingying Dong & Arthur Lewbel & Thomas Tao Yang, 2012. "Comparing Features of Convenient Estimators for Binary Choice Models With Endogenous Regressors," Boston College Working Papers in Economics 789, Boston College Department of Economics, revised 15 May 2012.
    15. Vijay Ganesh Hariharan & Ram Bezawada & Debabrata Talukdar, 2015. "Aggregate Impact of Different Brand Development Strategies," Management Science, INFORMS, vol. 61(5), pages 1164-1182, May.
    16. 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.
    17. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    18. Andrew Chesher & Adam Rosen & Konrad Smolinski, 2011. "An instrumental variable model of multiple discrete choice," CeMMAP working papers CWP39/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Marc Henry & Ismael Mourifié, 2013. "Set inference in latent variables models," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 93-105, February.
    20. Andrew Chesher & Adam Rosen, 2012. "An instrumental variable random coefficients model for binary outcomes," CeMMAP working papers 34/12, Institute for Fiscal Studies.
    21. Biørn, Erik, 2017. "Identification, Instruments, Omitted Variables, and Rudimentary Models: Fallacies in the ‘Experimental Approach’ to Econometrics," Memorandum 13/2017, Oslo University, Department of Economics.
    22. 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.
    23. Li, Chuhui & Poskitt, D.S. & Zhao, Xueyan, 2019. "The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification," Journal of Econometrics, Elsevier, vol. 209(1), pages 94-113.
    24. Marc Henry & Ismael Mourifié, 2012. "Sharp Bounds in the Binary Roy Model," CIRANO Working Papers 2012s-06, CIRANO.
    25. Watanabe, Hajime & Maruyama, Takuya, 2023. "A Bayesian instrumental variable model for multinomial choice with correlated alternatives," Journal of choice modelling, Elsevier, vol. 46(C).
    26. Arie Beresteanu, 2020. "Quantile Regression with Interval Data," Working Paper 6899, Department of Economics, University of Pittsburgh.
    27. 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.
    28. 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.
    29. Andrew Chesher & Adam Rosen, 2014. "Generalized instrumental variable models," CeMMAP working papers 04/14, Institute for Fiscal Studies.
    30. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," TSE Working Papers 14-458, Toulouse School of Economics (TSE).
    31. Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers 55/13, Institute for Fiscal Studies.
    32. Chesher, Andrew & Smolinski, Konrad, 2012. "IV models of ordered choice," Journal of Econometrics, Elsevier, vol. 166(1), pages 33-48.
    33. 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.
    34. 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).
    35. 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.
    36. Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
    37. Andrew Chesher & Konrad Smolinski, 2010. "Sharp identified sets for discrete variable IV models," CeMMAP working papers CWP11/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    38. Guevara, C. Angelo, 2015. "Critical assessment of five methods to correct for endogeneity in discrete-choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 240-254.
    39. Christoph March & Sebastian Krügel & Anthony Ziegelmeyer, 2012. "Do We Follow Private Information when We Should? Laboratory Evidence on Naive Herding," PSE Working Papers halshs-00671378, HAL.
    40. Eleni (E.) Aristodemou, 2018. "Semiparametric Identification in Panel Data Discrete Response Models," Tinbergen Institute Discussion Papers 18-065/III, Tinbergen Institute.
    41. Ishihara, Takuya, 2020. "Identification and estimation of time-varying nonseparable panel data models without stayers," Journal of Econometrics, Elsevier, vol. 215(1), pages 184-208.
    42. Libman, Alexander, 2009. "Constitutions, Regulations, and Taxes: Contradictions of Different Aspects of Decentralization," MPRA Paper 15854, University Library of Munich, Germany.
    43. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    44. Cristian Angelo Guevara & Moshe E. Ben-Akiva, 2012. "Change of Scale and Forecasting with the Control-Function Method in Logit Models," Transportation Science, INFORMS, vol. 46(3), pages 425-437, August.
    45. Bontemps, Christophe & Nauges, Céline, 2017. "Endogenous Variables in Binary Choice Models: Some Insights for Practitioners," TSE Working Papers 17-855, Toulouse School of Economics (TSE).
    46. 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.
    47. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    48. Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
    49. Lin, Wei & Wooldridge, Jeffrey M., 2015. "On different approaches to obtaining partial effects in binary response models with endogenous regressors," Economics Letters, Elsevier, vol. 134(C), pages 58-61.
    50. 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.

  23. Andrew Chesher, 2007. "Endogeneity and discrete outcomes," CeMMAP working papers CWP05/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    2. Li, Chuhui & Poskitt, D.S. & Zhao, Xueyan, 2019. "The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification," Journal of Econometrics, Elsevier, vol. 209(1), pages 94-113.
    3. Giulia BETTIN & Riccardo LUCCHETTI, 2010. "Interval Regression Models with;Endogenous Explanatory Variables," Working Papers 339, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Andrew Chesher & Konrad Smolinski, 2010. "Sharp identified sets for discrete variable IV models," CeMMAP working papers CWP11/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Thum, Anna-Elisabeth, 2013. "Psychology in econometric models: conceptual and methodological foundations," MPRA Paper 52293, University Library of Munich, Germany.
    6. Aradillas-Lopez, Andres, 2010. "Semiparametric estimation of a simultaneous game with incomplete information," Journal of Econometrics, Elsevier, vol. 157(2), pages 409-431, August.

  24. Andrew Chesher & Erich Battistin, 2004. "The Impact of Measurement Error on Evaluation Methods Based on Strong Ignorability," Econometric Society 2004 North American Summer Meetings 339, Econometric Society.

    Cited by:

    1. Thomas Siedler, 2007. "Does Parental Unemployment Cause Right-Wing Extremism?," Discussion Papers of DIW Berlin 666, DIW Berlin, German Institute for Economic Research.
    2. Siedler, Thomas, 2006. "Family and politics: does parental unemployment cause right-wing extremism?," ISER Working Paper Series 2006-51, Institute for Social and Economic Research.
    3. Klein, T.J., 2008. "Heterogeneous Treatment Effects : Instrumental Variables Without Monotonicity?," Other publications TiSEM e015611a-6b97-4cd5-8dc8-7, Tilburg University, School of Economics and Management.
    4. Klein, T.J., 2010. "Heterogeneous treatment effects : Instrumental variables without monotonicity?," Other publications TiSEM 0ec85b01-ab6a-4c2a-9e23-1, Tilburg University, School of Economics and Management.

  25. Andrew Chesher, 2004. "Identification in additive error models with discrete endogenous variables," CeMMAP working papers 11/04, Institute for Fiscal Studies.

    Cited by:

    1. 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.
    2. Katarzyna Bech & Grant Hillier, 2015. "Nonparametric testing for exogeneity with discrete regressors and instruments," CeMMAP working papers 11/15, Institute for Fiscal Studies.
    3. 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.
    4. Joachim Freyberger & Joel L. Horowitz, 2013. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 31/13, Institute for Fiscal Studies.
    5. 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.
    6. Joachim Freyberger & Joel L. Horowitz, 2012. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 15/12, Institute for Fiscal Studies.

  26. Andrew Chesher, 2003. "Nonparametric identification under discrete variation," CeMMAP working papers 19/03, Institute for Fiscal Studies.

    Cited by:

    1. Christian Bontemps & Thierry Magnac & Eric Maurin, 2012. "Set Identified Linear Models," Econometrica, Econometric Society, vol. 80(3), pages 1129-1155, May.
    2. Frölich, Markus & Melly, Blaise, 2008. "Unconditional Quantile Treatment Effects under Endogeneity," IZA Discussion Papers 3288, Institute of Labor Economics (IZA).
    3. Horowitz, Joel L. & Lee, Sokbae, 2009. "Testing a parametric quantile-regression model with an endogenous explanatory variable against a nonparametric alternative," Journal of Econometrics, Elsevier, vol. 152(2), pages 141-152, October.
    4. Menzel, Konrad, 2014. "Consistent estimation with many moment inequalities," Journal of Econometrics, Elsevier, vol. 182(2), pages 329-350.
    5. Jun, Sung Jae & Pinkse, Joris & Xu, Haiqing, 2011. "Tighter bounds in triangular systems," Journal of Econometrics, Elsevier, vol. 161(2), pages 122-128, April.
    6. Andrew Chesher, 2007. "Endogeneity and discrete outcomes," CeMMAP working papers CWP05/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Ismael Mourifie & Yuanyuan Wan, 2014. "Testing Local Average Treatment Effect Assumptions," Working Papers tecipa-514, University of Toronto, Department of Economics.
    8. Markus Frölich, 2008. "Parametric and Nonparametric Regression in the Presence of Endogenous Control Variables," International Statistical Review, International Statistical Institute, vol. 76(2), pages 214-227, August.
    9. Thierry Magnac & Eric Maurin, 2008. "Partial Identification in Monotone Binary Models: Discrete Regressors and Interval Data," Post-Print halshs-00754272, HAL.
    10. 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.
    11. Del Bono, Emilia & Galindo-Rueda, Fernando, 2004. "Do a Few Months of Compulsory Schooling Matter? The Education and Labour Market Impact of School Leaving Rules," IZA Discussion Papers 1233, Institute of Labor Economics (IZA).
    12. Timothy Besley & Neil Meads & Paolo Surico, 2012. "Risk Heterogeneity and Credit Supply: Evidence from the Mortgage Market," NBER Chapters, in: NBER Macroeconomics Annual 2012, Volume 27, pages 375-419, National Bureau of Economic Research, Inc.
    13. Koen Jochmans, 2011. "Identification in Bivariate binary-choice Models with elliptical innovations," SciencePo Working papers Main hal-01069483, HAL.
    14. Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
    15. 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.
    16. Matthew Gentry & Tong Li, 2012. "Identification in auctions with selective entry," CeMMAP working papers 38/12, Institute for Fiscal Studies.
    17. Clarke, Damian & Llorca-Jaña, Manuel & Pailañir, Daniel, 2021. "The Use of Quantile Methods in Economic History," IZA Discussion Papers 14659, Institute of Labor Economics (IZA).
    18. Tommaso Gabrieli & Antonio F. Galvao, Jr. & Antonio F. Galvao, Jr., 2010. "Who Benefits from Reducing the Cost of Formality? Quantile Regression Discontinuity Analysis," Real Estate & Planning Working Papers rep-wp2010-11, Henley Business School, University of Reading.
    19. Khan, Shakeeb & Maurel, Arnaud & Zhang, Yichong, 2020. "Informational Content of Factor Structures in Simultaneous Binary Response Models," IZA Discussion Papers 14008, Institute of Labor Economics (IZA).
    20. 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.
    21. Pallab Ghosh & Kevin Grier & Jaeho Kim, 2021. "Heterogeneous endogeneity," Statistical Papers, Springer, vol. 62(2), pages 847-886, April.
    22. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    23. Frölich, Markus, 2002. "Nonparametric IV Estimation of Local Average Treatment Effects with Covariates," IZA Discussion Papers 588, Institute of Labor Economics (IZA).
    24. George-Levi Gayle & Limor Golan, "undated". "Estimating a Dynamic Adverse Selection Model: Labor Force Experience and the Changing Gender Earnings Gap 1968-93," GSIA Working Papers 2006-E40, Carnegie Mellon University, Tepper School of Business.
    25. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    26. Tafti, Elena Ashtari, 2023. "Technology, Skills, and Performance: The Case of Robots in Surgery," CINCH Working Paper Series (since 2020) 78746, Duisburg-Essen University Library, DuEPublico.
    27. Santiago Acerenza & Vitor Possebom & Pedro H. C. Sant'Anna, 2023. "Was Javert right to be suspicious? Unpacking treatment effect heterogeneity of alternative sentences on time-to-recidivism in Brazil," Papers 2311.13969, arXiv.org, revised Jan 2024.
    28. Joseph G. Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008. "Estimating Derivatives in Nonseparable Models with Limited Dependent Variables," Cowles Foundation Discussion Papers 1668R, Cowles Foundation for Research in Economics, Yale University, revised May 2011.
    29. Jun Ma & Vadim Marmer & Zhengfei Yu, 2021. "Inference on Individual Treatment Effects in Nonseparable Triangular Models," Papers 2107.05559, arXiv.org, revised Feb 2023.
    30. Andrew Chesher, 2004. "Identification of sensitivity to variation in endogenous variables," Econometric Society 2004 Australasian Meetings 353, Econometric Society.
    31. 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.
    32. Li, Chuhui & Poskitt, D.S. & Zhao, Xueyan, 2019. "The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification," Journal of Econometrics, Elsevier, vol. 209(1), pages 94-113.
    33. Chesher, Andrew, 2007. "Instrumental values," Journal of Econometrics, Elsevier, vol. 139(1), pages 15-34, July.
    34. Chesher, Andrew & Kim, Dongwoo & Rosen, Adam M., 2023. "IV methods for Tobit models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1700-1724.
    35. Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.
    36. Andrew Chesher, 2004. "Identification in additive error models with discrete endogenous variables," CeMMAP working papers 11/04, Institute for Fiscal Studies.
    37. Kasy, Maximilian, "undated". "Instrumental variables with unrestricted heterogeneity and continuous treatment - DON'T CITE! SEE ERRATUM BELOW," Working Paper 33257, Harvard University OpenScholar.
    38. Santos, Andres, 2011. "Instrumental variable methods for recovering continuous linear functionals," Journal of Econometrics, Elsevier, vol. 161(2), pages 129-146, April.
    39. Arie Beresteanu, 2020. "Quantile Regression with Interval Data," Working Paper 6899, Department of Economics, University of Pittsburgh.
    40. Giovanni Forchini, 2012. "Structural Equations and Invariance," School of Economics Discussion Papers 0312, School of Economics, University of Surrey.
    41. Jia-Young Michael Fu & Joel L. Horowitz & Matthias Parey, 2015. "Testing exogeneity in nonparametric instrumental variables identified by conditional quantile restrictions," CeMMAP working papers CWP68/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    42. Lee, Sokbae, 2007. "Endogeneity in quantile regression models: A control function approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1131-1158, December.
    43. 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.
    44. Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.
    45. Mourifié, Ismael, 2015. "Sharp bounds on treatment effects in a binary triangular system," Journal of Econometrics, Elsevier, vol. 187(1), pages 74-81.
    46. Rothe, Christoph, 2011. "Partial Distributional Policy Effects," IZA Discussion Papers 6076, Institute of Labor Economics (IZA).
    47. Chesher, Andrew, 2009. "Excess heterogeneity, endogeneity and index restrictions," Journal of Econometrics, Elsevier, vol. 152(1), pages 37-45, September.
    48. Brunello, Giorgio & Fabbri, Daniele & Fort, Margherita, 2009. "Years of Schooling, Human Capital and the Body Mass Index of European Females," IZA Discussion Papers 4667, Institute of Labor Economics (IZA).
    49. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," TSE Working Papers 14-458, Toulouse School of Economics (TSE).
    50. Del Bono, Emilia & Galindo-Rueda, Fernando, 2006. "The long term impacts of compulsory schooling: evidence from a natural experiment in school leaving dates," ISER Working Paper Series 2006-44, Institute for Social and Economic Research.
    51. 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.
    52. Halbert White & Karim Chalak, 2013. "Identification and Identification Failure for Treatment Effects Using Structural Systems," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 273-317, November.
    53. Jun, Sung Jae, 2009. "Local structural quantile effects in a model with a nonseparable control variable," Journal of Econometrics, Elsevier, vol. 151(1), pages 82-97, July.
    54. Zequn Jin & Lihua Lin & Zhengyu Zhang, 2022. "Identification and Auto-debiased Machine Learning for Outcome Conditioned Average Structural Derivatives," Papers 2211.07903, arXiv.org.
    55. McFadden, Daniel, 2012. "Economic juries and public project provision," Journal of Econometrics, Elsevier, vol. 166(1), pages 116-126.
    56. Nikolay Didenko, 2020. "Modeling the global nickel market with a triangular simultaneous equations model," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 119-129, May.
    57. Giorgio Brunello & Margherita Fort & Guglielmo Weber, 2009. "Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," Economic Journal, Royal Economic Society, vol. 119(536), pages 516-539, March.
    58. Chesher, Andrew & Smolinski, Konrad, 2012. "IV models of ordered choice," Journal of Econometrics, Elsevier, vol. 166(1), pages 33-48.
    59. 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.
    60. Christian Bontemps & Thierry Magnac, 2017. "Set Identification, Moment Restrictions, and Inference," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
    61. Rietveld, Cornelius A. & Webbink, Dinand, 2016. "On the genetic bias of the quarter of birth instrument," Economics & Human Biology, Elsevier, vol. 21(C), pages 137-146.
    62. Jorge Balat & Sukjin Han, 2018. "Multiple Treatments with Strategic Interaction," Papers 1805.08275, arXiv.org, revised Sep 2019.
    63. 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.
    64. 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.
    65. Andrew Chesher, 2008. "Instrumental variable models for discrete outcomes," CeMMAP working papers CWP30/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    66. Andrew Chesher & Konrad Smolinski, 2010. "Sharp identified sets for discrete variable IV models," CeMMAP working papers CWP11/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    67. Guevara, C. Angelo, 2015. "Critical assessment of five methods to correct for endogeneity in discrete-choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 240-254.
    68. Brunello, Giorgio & Fort, Margherita & Weber, Guglielmo, 2007. "“For One More Year with You”: Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," IZA Discussion Papers 3102, Institute of Labor Economics (IZA).
    69. Kasey Buckles & Daniel M. Hungerman, 2008. "Season of Birth and Later Outcomes: Old Questions, New Answers," NBER Working Papers 14573, National Bureau of Economic Research, Inc.
    70. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    71. Desire Kedagni & Ismael Mourifie, 2014. "Tightening Bounds In Triangular Systems," Working Papers tecipa-515, University of Toronto, Department of Economics.
    72. Brendan Kline, 2016. "Identification of the Direction of a Causal Effect by Instrumental Variables," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 176-184, April.
    73. Chen, Heng & Fan, Yanqin, 2019. "Identification and wavelet estimation of weighted ATE under discontinuous and kink incentive assignment mechanisms," Journal of Econometrics, Elsevier, vol. 212(2), pages 476-502.
    74. Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
    75. Roger Klein & Chan Shen & Francis Vella, 2014. "Semiiparametric Selection Models with Binary Outcomes," Departmental Working Papers 201403, Rutgers University, Department of Economics.
    76. Lee, Jinhyun, 2013. "Sharp Bounds on Heterogeneous Individual Treatment Responses," SIRE Discussion Papers 2013-89, Scottish Institute for Research in Economics (SIRE).
    77. 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.
    78. Abrevaya, Jason & Xu, Haiqing, 2023. "Estimation of treatment effects under endogenous heteroskedasticity," Journal of Econometrics, Elsevier, vol. 234(2), pages 451-478.
    79. Halbert White & Karim Chalak, 2008. "Identifying Structural Effects in Nonseparable Systems Using Covariates," Boston College Working Papers in Economics 734, Boston College Department of Economics.
    80. Rothe, Christoph, 2010. "Identification of unconditional partial effects in nonseparable models," Economics Letters, Elsevier, vol. 109(3), pages 171-174, December.

  27. Andrew Chesher, 2002. "Semiparametric identification in duration models," CeMMAP working papers 20/02, Institute for Fiscal Studies.

    Cited by:

    1. Guido W. Imbens & Whitney K. Newey, 2009. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.
    2. Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.
    3. Andrew Chesher, 2004. "Identification of sensitivity to variation in endogenous variables," Econometric Society 2004 Australasian Meetings 353, Econometric Society.
    4. Andrew Chesher, 2005. "Identification with excess heterogeneity," CeMMAP working papers CWP19/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Chesher, Andrew, 2009. "Excess heterogeneity, endogeneity and index restrictions," Journal of Econometrics, Elsevier, vol. 152(1), pages 37-45, September.
    6. van den Berg, Gerard J. & Bonev, Petyo & Mammen, Enno, 2016. "Nonparametric Instrumental Variable Methods for Dynamic Treatment Evaluation," IZA Discussion Papers 9782, Institute of Labor Economics (IZA).
    7. Jaap H. Abbring & Gerard J. van den Berg, 2005. "Social Experiments and Instrumental Variables with Duration Outcomes," Tinbergen Institute Discussion Papers 05-047/3, Tinbergen Institute.
    8. Gerard J. van den Berg & Petyo Bonev & Enno Mammen, 2020. "Nonparametric Instrumental Variable Methods for Dynamic Treatment Evaluation," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 355-367, May.
    9. Bonev, Petyo & Matsumoto, Shigeru, 2022. "An empirical evaluation of environmental Alternative Dispute Resolution methods," Economics Working Paper Series 2208, University of St. Gallen, School of Economics and Political Science.

  28. Andrew Chesher, 2002. "Instrumental Values," CeMMAP working papers 17/02, Institute for Fiscal Studies.

    Cited by:

    1. Horowitz, Joel L. & Lee, Sokbae, 2009. "Testing a parametric quantile-regression model with an endogenous explanatory variable against a nonparametric alternative," Journal of Econometrics, Elsevier, vol. 152(2), pages 141-152, October.
    2. Andrew Chesher, 2003. "Nonparametric identification under discrete variation," CeMMAP working papers CWP19/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. David M. Kaplan & Matt Goldman, 2015. "Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics," Working Papers 1503, Department of Economics, University of Missouri.
    4. Andrew Chesher, 2003. "Nonparametric identification with discrete endogenous variables," CeMMAP working papers CWP06/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Andrew Chesher, 2004. "Identification of sensitivity to variation in endogenous variables," Econometric Society 2004 Australasian Meetings 353, Econometric Society.
    6. Chesher, Andrew, 2007. "Instrumental values," Journal of Econometrics, Elsevier, vol. 139(1), pages 15-34, July.
    7. Santos, Andres, 2011. "Instrumental variable methods for recovering continuous linear functionals," Journal of Econometrics, Elsevier, vol. 161(2), pages 129-146, April.
    8. Jia-Young Michael Fu & Joel L. Horowitz & Matthias Parey, 2015. "Testing exogeneity in nonparametric instrumental variables identified by conditional quantile restrictions," CeMMAP working papers CWP68/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Xavier d'Haultfoeuille & Philippe Février, 2011. "Identification of Nonseparable Modes with Endogeneity and Discrete Instruments," Working Papers 2011-28, Center for Research in Economics and Statistics.
    10. Chesher, Andrew, 2009. "Excess heterogeneity, endogeneity and index restrictions," Journal of Econometrics, Elsevier, vol. 152(1), pages 37-45, September.
    11. Brunello, Giorgio & Fort, Margherita & Weber, Guglielmo, 2007. "“For One More Year with You”: Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," IZA Discussion Papers 3102, Institute of Labor Economics (IZA).
    12. Kasey Buckles & Daniel M. Hungerman, 2008. "Season of Birth and Later Outcomes: Old Questions, New Answers," NBER Working Papers 14573, National Bureau of Economic Research, Inc.
    13. Lee, Jinhyun, 2013. "Sharp Bounds on Heterogeneous Individual Treatment Responses," SIRE Discussion Papers 2013-89, Scottish Institute for Research in Economics (SIRE).

  29. Andrew Chesher, 2002. "Local identification in nonseparable models," CeMMAP working papers 05/02, Institute for Fiscal Studies.

    Cited by:

    1. Guido W. Imbens & Whitney K. Newey, 2009. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.
    2. Chesher, Andrew, 2007. "Instrumental values," Journal of Econometrics, Elsevier, vol. 139(1), pages 15-34, July.
    3. Woocheol Kim, 2004. "Identification And Estimation Of Nonparametric Structural," Econometric Society 2004 Far Eastern Meetings 733, Econometric Society.

  30. Andrew Chesher, 2001. "Parameter approximations for quantile regressions with measurement error," CeMMAP working papers 02/01, Institute for Fiscal Studies.

    Cited by:

    1. Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, January.
    2. Ramalho Esmeralda A., 2010. "Covariate Measurement Error: Bias Reduction under Response-Based Sampling," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-34, September.
    3. Esmeralda Ramalho, 2004. "Covariate Measurement Error in Endogenous Stratified Samples," Economics Working Papers 2_2004, University of Évora, Department of Economics (Portugal).
    4. Andrew Chesher, 2017. "Understanding the effect of measurement error on quantile regressions," CeMMAP working papers CWP19/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Gabriel Montes-Rojas, 2011. "Quantile Regression with Classical Additive Measurement Errors," Economics Bulletin, AccessEcon, vol. 31(4), pages 2863-2868.
    6. Firpo, Sergio & Galvao, Antonio F. & Song, Suyong, 2017. "Measurement errors in quantile regression models," Journal of Econometrics, Elsevier, vol. 198(1), pages 146-164.
    7. Galvao Jr, A. F. & Montes-Rojas, G., 2009. "Instrumental variables quantile regression for panel data with measurement errors," Working Papers 09/06, Department of Economics, City University London.
    8. Schmidt, Christoph M. & Tauchmann, Harald, 2011. "Heterogeneity in the intergenerational transmission of alcohol consumption: A quantile regression approach," Journal of Health Economics, Elsevier, vol. 30(1), pages 33-42, January.
    9. Eren, Ozkan & Ozbeklik, Serkan, 2013. "The effect of noncognitive ability on the earnings of young men: A distributional analysis with measurement error correction," Labour Economics, Elsevier, vol. 24(C), pages 293-304.
    10. Schennach, Susanne M., 2008. "Quantile Regression With Mismeasured Covariates," Econometric Theory, Cambridge University Press, vol. 24(4), pages 1010-1043, August.
    11. Yingyao Hu & Susanne M. Schennach, 2006. "Identification and estimation of nonclassical nonlinear errors-in-variables models with continuous distributions using instruments," CeMMAP working papers CWP17/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  31. Andrew Chesher, 2001. "Exogenous impact and conditional quantile functions," CeMMAP working papers 01/01, Institute for Fiscal Studies.

    Cited by:

    1. Lingjie Ma & Roger Koenker, 2004. "Quantile regression methods for recursive structural equation models," CeMMAP working papers CWP01/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Chesher, Andrew, 2007. "Instrumental values," Journal of Econometrics, Elsevier, vol. 139(1), pages 15-34, July.
    3. Brunello, Giorgio & Fabbri, Daniele & Fort, Margherita, 2009. "Years of Schooling, Human Capital and the Body Mass Index of European Females," IZA Discussion Papers 4667, Institute of Labor Economics (IZA).
    4. Giorgio Brunello & Margherita Fort & Guglielmo Weber, 2009. "Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," Economic Journal, Royal Economic Society, vol. 119(536), pages 516-539, March.
    5. Brunello, Giorgio & Fort, Margherita & Weber, Guglielmo, 2007. "“For One More Year with You”: Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," IZA Discussion Papers 3102, Institute of Labor Economics (IZA).

  32. Andrew Chesher & Christian Schluter, 2001. "Welfare measurement and measurement error," CeMMAP working papers 03/01, Institute for Fiscal Studies.

    Cited by:

    1. Enrico BOLZANI & Ramses H. ABUL NAGA, 2001. "La distribution des salaires en Suisse : quelques observations sur la récession des années 90," Cahiers de Recherches Economiques du Département d'économie 01.04, Université de Lausanne, Faculté des HEC, Département d’économie.
    2. Schröder, Carsten, 2012. "The sensitivity of distributional measures to the reference period of income," Kiel Working Papers 1777, Kiel Institute for the World Economy (IfW Kiel).
    3. D. O'Neill & Sweetman. O. & Van de gaer D., 2005. "The Consequences of Non-Classical Measurement Error for Distributional Analysis," Economics Department Working Paper Series n1490205, Department of Economics, National University of Ireland - Maynooth.
    4. Richard Bluhm & Denis de Crombrugghe & Adam Szirmai, 2016. "Poverty Accounting. A fractional response approach to poverty decomposition," Working Papers 413, ECINEQ, Society for the Study of Economic Inequality.
    5. Ramalho Esmeralda A., 2010. "Covariate Measurement Error: Bias Reduction under Response-Based Sampling," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-34, September.
    6. Esmeralda Ramalho, 2004. "Covariate Measurement Error in Endogenous Stratified Samples," Economics Working Papers 2_2004, University of Évora, Department of Economics (Portugal).
    7. David Stifel & Luc Christiaensen, 2007. "Tracking Poverty Over Time in the Absence of Comparable Consumption Data," The World Bank Economic Review, World Bank, vol. 21(2), pages 317-341, June.
    8. Cowell, Frank A. & Flachaire, Emmanuel, 2007. "Income distribution and inequality measurement: The problem of extreme values," Journal of Econometrics, Elsevier, vol. 141(2), pages 1044-1072, December.
    9. Stefan Wachter & Sebastian Galiani, 2006. "Optimal income support targeting," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 13(6), pages 661-684, November.
    10. Andrew Chesher, 2017. "Understanding the effect of measurement error on quantile regressions," CeMMAP working papers CWP19/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Schröder, Carsten & Golan, Yolanda & Yitzhaki, Shlomo, 2014. "Inequality and the time structure of earnings: Evidence from Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 12(3), pages 349-409.
    12. Fazley K. Siddiq & Halyna Klymentieva & Taylor J. C. Lee, 2023. "Applying the Lorenz Curve and Gini Coefficient to Measure the Population Distribution," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 29(3), pages 177-192, August.
    13. Charlotte Guénard & Sandrine Mesplé-Somps, 2004. "Measuring inequalities: Do the surveys give the real picture? Study of two surveys in Cote d’Ivoire and Madagascar," Working Papers DT/2004/13, DIAL (Développement, Institutions et Mondialisation), revised Dec 2004.
    14. Philippe de Vreyer & Sylvie Lambert, 2021. "Inequality, Poverty, and the Intra-Household Allocation of Consumption in Senegal," PSE-Ecole d'économie de Paris (Postprint) hal-02543551, HAL.
    15. Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," Working Papers hal-04093646, HAL.
    16. Korinek, Anton & Mistiaen, Johan A. & Ravallion, Martin, 2005. "Survey nonresponse and the distribution of income," Policy Research Working Paper Series 3543, The World Bank.
    17. Prati, Alberto, 2017. "Hedonic recall bias. Why you should not ask people how much they earn," Journal of Economic Behavior & Organization, Elsevier, vol. 143(C), pages 78-97.
    18. John Gibson & Kathleen Beegle & Joachim De Weerdt & Jed Friedman, 2015. "What does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(3), pages 466-474, June.
    19. Klein, T.J., 2008. "Heterogeneous Treatment Effects : Instrumental Variables Without Monotonicity?," Other publications TiSEM e015611a-6b97-4cd5-8dc8-7, Tilburg University, School of Economics and Management.
    20. Andrew Chesher & Erich Battistin, 2004. "The Impact of Measurement Error on Evaluation Methods Based on Strong Ignorability," Econometric Society 2004 North American Summer Meetings 339, Econometric Society.
    21. Battistin, Erich & Chesher, Andrew, 2014. "Treatment effect estimation with covariate measurement error," Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
    22. Tomáš Želinský, 2010. "Analýza chudoby na Slovensku založená na koncepte relatívnej deprivácie [Analysis of Poverty in Slovakia Based on the Concept of Relative Deprivation]," Politická ekonomie, Prague University of Economics and Business, vol. 2010(4), pages 542-565.
    23. Mistiaen, Johan A. & Ravallion, Martin, 2003. "Survey compliance and the distribution of income," Policy Research Working Paper Series 2956, The World Bank.
    24. Bluhm, Richard & de Crombrugghe, Denis & Szirmai, Adam, 2018. "Poverty accounting," European Economic Review, Elsevier, vol. 104(C), pages 237-255.
    25. Erich Battistin, 2003. "Errors in survey reports of consumption expenditures," IFS Working Papers W03/07, Institute for Fiscal Studies.
    26. Nicholas Rohde, 2016. "J-divergence measurements of economic inequality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 847-870, June.
    27. René Böheim & Stephen P. Jenkins, 2000. "Do Current Income and Annual Income Measures Provide Different Pictures of Britain's Income Distribution?," Discussion Papers of DIW Berlin 214, DIW Berlin, German Institute for Economic Research.
    28. Pudney, Stephen & Francavilla, Francesca, 2006. "Income mis-measurement and the estimation of poverty rates: an analysis of income poverty in Albania," ISER Working Paper Series 2006-35, Institute for Social and Economic Research.
    29. Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
    30. De Agostini, Paola, 2014. "The effect of food prices and household income on the British diet," ISER Working Paper Series 2014-10, Institute for Social and Economic Research.
    31. Andrei Zeleneev & Kirill Evdokimov, 2023. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 10/23, Institute for Fiscal Studies.
    32. Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Mar 2024.
    33. Takahide Yanagi, 2014. "The Effect of Measurement Error in the Sharp Regression Discontinuity Design," KIER Working Papers 910, Kyoto University, Institute of Economic Research.
    34. Caeyers, Bet & Chalmers, Neil & De Weerdt, Joachim, 2012. "Improving consumption measurement and other survey data through CAPI: Evidence from a randomized experiment," Journal of Development Economics, Elsevier, vol. 98(1), pages 19-33.
    35. Cheti Nicoletti & Franco Peracchi & Francesca Foliano, 2011. "Estimating Income Poverty in the Presence of Missing Data and Measurement Error," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 61-72, January.
    36. Zelinsky, Tomas, 2014. "Chudoba a deprivácia na Slovensku: Metodologické aspekty a empíria [Poverty and Deprivation in Slovakia: Methodological Aspects and Empirics]," MPRA Paper 76868, University Library of Munich, Germany.
    37. Jayasinghe, Maneka & Chai, Andreas & Ratnasiri, Shyama & Smith, Christine, 2017. "The power of the vegetable patch: How home-grown food helps large rural households achieve economies of scale & escape poverty," Food Policy, Elsevier, vol. 73(C), pages 62-74.
    38. Whitehouse, Edward, 2000. "How poor are the old? a survey of evidence from 44 countries," Social Protection Discussion Papers and Notes 23141, The World Bank.
    39. Charlotte Guénard & Sandrine Mesplé‐Somps, 2010. "Measuring Inequalities: Do Household Surveys Paint A Realistic Picture?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(3), pages 519-538, September.
    40. García-Suaza, A & Lobo, J & Montoya, S & Ordóñez, J & Oviedo, J. D, 2022. "Impact of the collection mode on labor income data. A study in the times of COVID19," Documentos de Trabajo 20396, Universidad del Rosario.
    41. Klein, T.J., 2010. "Heterogeneous treatment effects : Instrumental variables without monotonicity?," Other publications TiSEM 0ec85b01-ab6a-4c2a-9e23-1, Tilburg University, School of Economics and Management.
    42. Nicoletti, Cheti & Peracchi, Franco & Foliano, Francesca, 2007. "Estimating income poverty in the presence of measurement error and missing data problems," ISER Working Paper Series 2007-15, Institute for Social and Economic Research.
    43. Brocker, Johannes, 2005. "Necessary and unnecessary parameter restrictions for CDES demand systems," Conference papers 331358, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    44. Sylvie Lambert & Philippe De Vreyer, 2017. "By ignoring intra-household inequality do we underestimate the extent of poverty?," Working Papers DT/2017/05, DIAL (Développement, Institutions et Mondialisation).
    45. Gibson, John, 2003. "Does Measurement Error Explain a Paradox About Household Size and Food Demand? Evidence from Variation in Household Survey Methods," 2003 Annual meeting, July 27-30, Montreal, Canada 22198, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    46. D. O’Neill & O. Sweetman & D. Van De Gaer, 2002. "Consequences of Specification Error for Distributional Analysis With an Application to Intergenerational Mobility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 02/156, Ghent University, Faculty of Economics and Business Administration.

  33. Andrew Chesher, 2001. "Quantile driven identification of structural derivatives," CeMMAP working papers 08/01, Institute for Fiscal Studies.

    Cited by:

    1. Lingjie Ma & Roger Koenker, 2004. "Quantile regression methods for recursive structural equation models," CeMMAP working papers CWP01/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Arthur Lewbel & Oliver Linton, 2003. "Nonparametric estimation of homothetic and homothetically separable functions," CeMMAP working papers CWP14/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. David Jacho-Chavez & Arthur Lewbel & Oliver Linton, 2006. "Identification and Nonparametric Estimation of a Transformed Additively Separable Model," Boston College Working Papers in Economics 652, Boston College Department of Economics, revised 26 Nov 2008.
    4. Guido W. Imbens & Whitney K. Newey, 2009. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.
    5. Giglio, Stefano & Kelly, Bryan & Pruitt, Seth, 2016. "Systemic risk and the macroeconomy: An empirical evaluation," Journal of Financial Economics, Elsevier, vol. 119(3), pages 457-471.
    6. Arthur Lewbel & Oliver Linton, 2003. "Nonparametric Matching and Efficient Estimators of Homothetically Separable Functions," Boston College Working Papers in Economics 585, Boston College Department of Economics, revised 04 Sep 2006.

  34. Arnstein Aassve & Simon Burgess & Andrew Chesher & Carol Propper, 2001. "Transitions from home to marriage of young Americans," MPIDR Working Papers WP-2001-004, Max Planck Institute for Demographic Research, Rostock, Germany.

    Cited by:

    1. Thiel, Hendrik & Thomsen, Stephan L., 2015. "Individual Poverty Paths and the Stability of Control-Perception," IZA Discussion Papers 9334, Institute of Labor Economics (IZA).
    2. Michael Svarer, 2008. "Crime and Partnerships," Economics Working Papers 2008-06, Department of Economics and Business Economics, Aarhus University.
    3. Nuno Martins & Ernesto Villanueva, 2006. "Does limited access to mortgage debt explain why young adults live with their parents?," Working Papers 0628, Banco de España.
    4. Arnstein Aassve & Simon Burgess & Carol Propper & Matt Dickson, 2003. "Employment, family union, and childbearing decisions in Great Britain," MPIDR Working Papers WP-2003-027, Max Planck Institute for Demographic Research, Rostock, Germany.
    5. Viola Angelini & Anne Laferrère, 2013. "Parental altruism and nest leaving in Europe: evidence from a retrospective survey," Review of Economics of the Household, Springer, vol. 11(3), pages 393-420, September.
    6. Dan Anderberg, 2001. "An Equilibrium Analysis of Marriage, Divorce and Risk-Sharing," CESifo Working Paper Series 555, CESifo.
    7. Arnstein Aassve, 2003. "The impact of economic resources on premarital childbearing and subsequent marriage among young American women," Demography, Springer;Population Association of America (PAA), vol. 40(1), pages 105-126, February.
    8. Arnstein Aassve, 2000. "Economic resources and single motherhood: incidence and resolution of premarital childbearing among young American women," MPIDR Working Papers WP-2000-015, Max Planck Institute for Demographic Research, Rostock, Germany.
    9. Arnstein Aassve & Francesco C. Billari & Stefano Mazzuco & Fausta Ongaro, 2001. "Leaving Home Ain't Easy. A comparative longitudinal analysis of ECHP data," MPIDR Working Papers WP-2001-038, Max Planck Institute for Demographic Research, Rostock, Germany.
    10. Marie Bergström & Léonard Moulin, 2022. "Couple Formation is Prolonged not Postponed. New Paths to Union Formation in Contemporary France," European Journal of Population, Springer;European Association for Population Studies, vol. 38(5), pages 975-1008, December.
    11. Gatskova, Kseniia & Kozlov, Vladimir, 2018. "Doubling Up or Moving Out? The Effect of International Labor Migration on Household Size," CEI Working Paper Series 2017-6, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    12. Anne Laferrere & David Le Blanc, 2003. "Gone with the Windfall : How do Housing Allowances Affect Student Co-residence ?," Working Papers 2003-36, Center for Research in Economics and Statistics.
    13. Yuet-Yee Wong, Linda & Yu, Qiqing, 2007. "A bivariate interval censorship model for partnership formation," Journal of Multivariate Analysis, Elsevier, vol. 98(2), pages 370-383, February.
    14. Deborah A. Cobb-Clark, 2008. "Leaving Home: What Economics Has to Say about the Living Arrangements of Young Australians," CEPR Discussion Papers 568, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    15. Massuanganhe, Israel Jacob, 2008. "Policies, Natural Resource Governance and Local Development," Ph.D Degree Theses 53061, University of the Free State, Department of Agricultural Economics.
    16. Maria Sironi & Nicola Barban & Roberto Impiacciatore, 2013. "The Role of Parental Social Class in the Transition to Adulthood: A Sequence Analysis Approach in Italy and the United States," Working Papers 059, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    17. Wong, Linda, 2003. "An Empirical Study of Darwin's Theory of Mate Choice," Working Papers 187, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    18. Jianye Liu & Juyan Wang & Roderic Beaujot & Zenaida Ravanera, 2020. "Determinants of adults’ solo living in Canada: a longitudinal perspective," Journal of Population Research, Springer, vol. 37(1), pages 53-71, March.
    19. Anne Laferrere, 2005. "Leaving the Nest : The Interaction of Parental Income and Family Environment," Working Papers 2005-01, Center for Research in Economics and Statistics.
    20. Jacob, Marita & Kleinert, Corinna, 2007. "Does unemployment help or hinder becoming independent? : the role of employment status for leaving the parental home," IAB-Discussion Paper 200705, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    21. Giulia Ferrari & Ariane Pailhé, 2016. "Transition to adulthood in France: Do descendants of immigrants differ from natives ?," Working Papers 50, French Institute for Demographic Studies.
    22. David Blanc & François-Charles Wolff, 2006. "Leaving Home in Europe: The Role of Parents’ and Children’s Incomes," Review of Economics of the Household, Springer, vol. 4(1), pages 53-73, March.
    23. Sander Wagner & Olivier Thévenon, 2017. "The Evolution of Within- and Cross-Country Differences in the Transition to Adulthood: A New Perspective," Working Papers 2017-04, Center for Research in Economics and Statistics.
    24. Andree Ehlert, 2021. "The effects of health shocks on family status: do financial incentives encourage marriage?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1393-1409, December.
    25. Michael Svarer, 2006. "Working late: Do Workplace Sex Ratios Affect Partnership Formation and Dissolution?," Economics Working Papers 2006-09, Department of Economics and Business Economics, Aarhus University.

  35. Andrew Chesher, 2000. "Polynomial Regression with Normal Covariate Measurement Error," Econometric Society World Congress 2000 Contributed Papers 1911, Econometric Society.

    Cited by:

    1. Yingyao Hu & Arthur Lewbel & Susanne M. Schennach, 2007. "Nonparametric identification of the classical errors-in-variables model without side information," CeMMAP working papers CWP14/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  36. CHESHER, Andrew & DHAENE, Geert & GOURIEROUX, Christian & SCAILLET, Olivier, 1999. "Bartlett identities tests," LIDAM Discussion Papers CORE 1999039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Marcelo Fernandes & Joachim Grammig, 2000. "Non-Parametric Specification Tests For Conditional Duration Models," Computing in Economics and Finance 2000 40, Society for Computational Economics.
    2. Olivier Renault & Jean-Luc Prigent & Olivier Scaillet, 2000. "An Autoregressive Conditional Binomial Option Pricing Model," FMG Discussion Papers dp364, Financial Markets Group.
    3. J.L. Prigent & O. Renault & O. Scaillet., 1999. "Option pricing with discrete rebalancing," THEMA Working Papers 99-41, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    4. Chen, Yi-Ting, 2012. "A simple approach to standardized-residuals-based higher-moment tests," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 427-453.

Articles

  1. Chesher, Andrew & Kim, Dongwoo & Rosen, Adam M., 2023. "IV methods for Tobit models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1700-1724.
    See citations under working paper version above.
  2. Andrew Chesher & Adam M. Rosen, 2021. "Counterfactual Worlds," Annals of Economics and Statistics, GENES, issue 142, pages 311-335.
    See citations under working paper version above.
  3. Chesher, Andrew, 2017. "Understanding the effect of measurement error on quantile regressions," Journal of Econometrics, Elsevier, vol. 200(2), pages 223-237.
    See citations under working paper version above.
  4. Andrew Chesher & Adam M. Rosen, 2017. "Generalized Instrumental Variable Models," Econometrica, Econometric Society, vol. 85, pages 959-989, May.
    See citations under working paper version above.
  5. Battistin, Erich & Chesher, Andrew, 2014. "Treatment effect estimation with covariate measurement error," Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
    See citations under working paper version above.
  6. Andrew Chesher & Adam M. Rosen, 2014. "An instrumental variable random‐coefficients model for binary outcomes," Econometrics Journal, Royal Economic Society, vol. 17(2), pages 1-19, June.
    See citations under working paper version above.
  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.
    See citations under working paper version above.
  8. 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.
    See citations under working paper version above.
  9. Andrew Chesher & Adam M. Rosen & Konrad Smolinski, 2013. "An instrumental variable model of multiple discrete choice," Quantitative Economics, Econometric Society, vol. 4(2), pages 157-196, July.
    See citations under working paper version above.
  10. Chesher, Andrew & Smolinski, Konrad, 2012. "IV models of ordered choice," Journal of Econometrics, Elsevier, vol. 166(1), pages 33-48.
    See citations under working paper version above.
  11. Andrew Chesher, 2010. "Instrumental Variable Models for Discrete Outcomes," Econometrica, Econometric Society, vol. 78(2), pages 575-601, March.
    See citations under working paper version above.
  12. Chesher, Andrew, 2009. "Excess heterogeneity, endogeneity and index restrictions," Journal of Econometrics, Elsevier, vol. 152(1), pages 37-45, September.

    Cited by:

    1. Andrew Chesher & Adam M. Rosen, 2021. "Counterfactual Worlds," Annals of Economics and Statistics, GENES, issue 142, pages 311-335.
    2. Yingying Dong & Arthur Lewbel & Thomas Tao Yang, 2012. "Comparing Features of Convenient Estimators for Binary Choice Models With Endogenous Regressors," Boston College Working Papers in Economics 789, Boston College Department of Economics, revised 15 May 2012.
    3. 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.
    4. 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.
    5. Lee, Jinhyun, 2013. "Sharp Bounds on Heterogeneous Individual Treatment Responses," SIRE Discussion Papers 2013-89, Scottish Institute for Research in Economics (SIRE).

  13. Chesher, Andrew & Dhaene, Geert & van Dijk, Herman, 2007. "Endogeneity, instruments and identification," Journal of Econometrics, Elsevier, vol. 139(1), pages 1-3, July.

    Cited by:

    1. C.L. Skeels, 2007. "Conceptual Frameworks and Experimental Design in Simultaneous Equations," Department of Economics - Working Papers Series 1020, The University of Melbourne.
    2. Lin, Ching-Chung & Yang, Shou-Lin, 2016. "Bank fundamentals, economic conditions, and bank failures in East Asian countries," Economic Modelling, Elsevier, vol. 52(PB), pages 960-966.

  14. Chesher, Andrew, 2007. "Instrumental values," Journal of Econometrics, Elsevier, vol. 139(1), pages 15-34, July.
    See citations under working paper version above.
  15. Andrew Chesher, 2005. "Nonparametric Identification under Discrete Variation," Econometrica, Econometric Society, vol. 73(5), pages 1525-1550, September.
    See citations under working paper version above.
  16. Andrew Chesher, 2003. "Identification in Nonseparable Models," Econometrica, Econometric Society, vol. 71(5), pages 1405-1441, September.

    Cited by:

    1. Stefan Hoderlein & Yuya Sasaki, 2013. "Outcome Conditioned Treatment Effects," Boston College Working Papers in Economics 840, Boston College Department of Economics.
    2. Yu-Chin Hsu & Ta-Cheng Huang & Haiqing Xu, 2018. "Testing for Unobserved Heterogeneous Treatment Effects with Observational Data," Papers 1803.07514, arXiv.org, revised Aug 2021.
    3. Karim Chalak & Halbert White, 2011. "Viewpoint: An extended class of instrumental variables for the estimation of causal effects," Canadian Journal of Economics, Canadian Economics Association, vol. 44(1), pages 1-51, February.
    4. Lingjie Ma & Roger Koenker, 2004. "Quantile regression methods for recursive structural equation models," CeMMAP working papers CWP01/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Martinez-Sanchis, Elena & Mora, Juan & Kandemir, Ilker, 2012. "Counterfactual distributions of wages via quantile regression with endogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3212-3229.
    6. Horowitz, Joel L. & Lee, Sokbae, 2009. "Testing a parametric quantile-regression model with an endogenous explanatory variable against a nonparametric alternative," Journal of Econometrics, Elsevier, vol. 152(2), pages 141-152, October.
    7. Jun, Sung Jae & Pinkse, Joris & Xu, Haiqing, 2011. "Tighter bounds in triangular systems," Journal of Econometrics, Elsevier, vol. 161(2), pages 122-128, April.
    8. Andrew Chesher, 2007. "Endogeneity and discrete outcomes," CeMMAP working papers CWP05/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 2011. "Impact of Improved Rice Technology (NERICA varieties) on Income and Poverty among Rice Farming Households in Nigeria: A Local Average Treatment Effect (LATE) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-25.
    10. Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella, 2017. "Semiparametric estimation of structural functions in nonseparable triangular models," CeMMAP working papers CWP48/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Sasaki, Yuya, 2015. "What Do Quantile Regressions Identify For General Structural Functions?," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1102-1116, October.
    12. Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and probability curves without crossing," CeMMAP working papers CWP10/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Bruneel-Zupanc, Christophe Alain, 2021. "Discrete-Continuous Dynamic Choice Models: Identification and Conditional Choice Probability Estimation," TSE Working Papers 21-1185, Toulouse School of Economics (TSE).
    14. Matthew A. Masten & Alexandre Poirier, 2018. "Interpreting Quantile Independence," Papers 1804.10957, arXiv.org.
    15. Javier Alejo & Antonio F Galvao & Gabriel Montes-Rojas, 2023. "A first-stage representation for instrumental variables quantile regression," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 350-377.
    16. Andrew Chesher, 2003. "Nonparametric identification under discrete variation," CeMMAP working papers CWP19/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Markus Frölich, 2008. "Parametric and Nonparametric Regression in the Presence of Endogenous Control Variables," International Statistical Review, International Statistical Institute, vol. 76(2), pages 214-227, August.
    18. Matthew A Masten & Alexandre Poirier, 2023. "Choosing exogeneity assumptions in potential outcome models," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 327-349.
    19. Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers 13/16, Institute for Fiscal Studies.
    20. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2009. "Finite sample inference for quantile regression models," Journal of Econometrics, Elsevier, vol. 152(2), pages 93-103, October.
    21. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    22. Matthew A. Masten & Alexandre Poirier, 2022. "Choosing Exogeneity Assumptions in Potential Outcome Models," Papers 2205.02288, arXiv.org.
    23. Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015. "The triangular model with random coefficients," CeMMAP working papers CWP33/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. Xiaohong Chen & Demian Pouzo, 2012. "Estimation of Nonparametric Conditional Moment Models With Possibly Nonsmooth Generalized Residuals," Econometrica, Econometric Society, vol. 80(1), pages 277-321, January.
    25. Fan, Yanqin & Liu, Ruixuan, 2016. "A direct approach to inference in nonparametric and semiparametric quantile models," Journal of Econometrics, Elsevier, vol. 191(1), pages 196-216.
    26. David M. Kaplan, 2013. "IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1316, Department of Economics, University of Missouri.
    27. Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
    28. Tae-Hwan Kim & Christophe Muller, 2017. "A Robust Test of Exogeneity Based on Quantile Regressions," Working Papers halshs-01508067, HAL.
    29. Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
    30. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers 05/12, Institute for Fiscal Studies.
    31. Card, David & Lee, David S. & Pei, Zhuan & Weber, Andrea, 2015. "Inference on Causal Effects in a Generalized Regression Kink Design," IZA Discussion Papers 8757, Institute of Labor Economics (IZA).
    32. Guido W. Imbens & Whitney K. Newey, 2009. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.
    33. Paolo Brunori & Vito Peragine & Laura Serlenga, 2010. "Fairness in education: The Italian university before and after the reform," Working Papers 175, ECINEQ, Society for the Study of Economic Inequality.
    34. Jun, Sung Jae, 2008. "Weak identification robust tests in an instrumental quantile model," Journal of Econometrics, Elsevier, vol. 144(1), pages 118-138, May.
    35. Michele De Nadai & Arthur Lewbel, 2012. "Nonparametric Errors in Variables Models with Measurement Errors on both sides of the Equation," Boston College Working Papers in Economics 790, Boston College Department of Economics, revised 01 Jul 2013.
    36. Taylor, Luke & Otsu, Taisuke, 2016. "Estimation of nonseparable models with censored dependent variables and endogenous regressors," LSE Research Online Documents on Economics 68678, London School of Economics and Political Science, LSE Library.
    37. Jorg Stoye & Yuichi Kitamura, 2017. "Nonparametric analysis of random utility models," CeMMAP working papers 56/17, Institute for Fiscal Studies.
    38. Tommaso Gabrieli & Antonio F. Galvao, Jr. & Antonio F. Galvao, Jr., 2010. "Who Benefits from Reducing the Cost of Formality? Quantile Regression Discontinuity Analysis," Real Estate & Planning Working Papers rep-wp2010-11, Henley Business School, University of Reading.
    39. Zhuan Pei & David Card & David S. Lee & Andrea Weber, 2012. "Nonlinear Policy Rules and the Identification and Estimation of Causal Effects in a Generalized Regression Kink Design," Working Papers 60, Brandeis University, Department of Economics and International Business School.
    40. Pallab Ghosh & Kevin Grier & Jaeho Kim, 2021. "Heterogeneous endogeneity," Statistical Papers, Springer, vol. 62(2), pages 847-886, April.
    41. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    42. Sui, Meng & Rengifo, Erick W. & Court, Eduardo, 2021. "Gold, inflation and exchange rate in dollarized economies – A comparative study of Turkey, Peru and the United States," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 82-99.
    43. Frölich, Markus, 2002. "Nonparametric IV Estimation of Local Average Treatment Effects with Covariates," IZA Discussion Papers 588, Institute of Labor Economics (IZA).
    44. Komunjer, Ivana, 2007. "Global Identification In Nonlinear Semiparametric Models," University of California at San Diego, Economics Working Paper Series qt8dk0n386, Department of Economics, UC San Diego.
    45. George-Levi Gayle & Limor Golan, "undated". "Estimating a Dynamic Adverse Selection Model: Labor Force Experience and the Changing Gender Earnings Gap 1968-93," GSIA Working Papers 2006-E40, Carnegie Mellon University, Tepper School of Business.
    46. Carneiro, Pedro & Lee, Sokbae, 2009. "Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality," Journal of Econometrics, Elsevier, vol. 149(2), pages 191-208, April.
    47. Matzkin, Rosa L., 2016. "On independence conditions in nonseparable models: Observable and unobservable instruments," Journal of Econometrics, Elsevier, vol. 191(2), pages 302-311.
    48. Nir Billfeld & Moshe Kim, 2024. "Context-dependent Causality (the Non-Nonotonic Case)," Papers 2404.05021, arXiv.org.
    49. Joseph G. Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008. "Estimating Derivatives in Nonseparable Models with Limited Dependent Variables," Cowles Foundation Discussion Papers 1668R, Cowles Foundation for Research in Economics, Yale University, revised May 2011.
    50. Andrew Chesher, 2003. "Nonparametric identification with discrete endogenous variables," CeMMAP working papers CWP06/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    51. Victor Chernozhukov & Christian Hansen, 2013. "Quantile models with endogeneity," CeMMAP working papers CWP25/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    52. Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
    53. Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.
    54. Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers 57/13, Institute for Fiscal Studies.
    55. Jun Ma & Vadim Marmer & Zhengfei Yu, 2021. "Inference on Individual Treatment Effects in Nonseparable Triangular Models," Papers 2107.05559, arXiv.org, revised Feb 2023.
    56. Vincenzo Atella & Noemi Pace & Daniela Vuri, 2008. "Are employers discriminating with respect to weight? European Evidence using Quantile Regression," CEIS Research Paper 123, Tor Vergata University, CEIS, revised 14 Jul 2008.
    57. 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.
    58. Andrew Chesher, 2004. "Identification of sensitivity to variation in endogenous variables," Econometric Society 2004 Australasian Meetings 353, Econometric Society.
    59. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    60. Blundell, Richard & Kristensen, Dennis & Matzkin, Rosa, 2014. "Bounding quantile demand functions using revealed preference inequalities," Journal of Econometrics, Elsevier, vol. 179(2), pages 112-127.
    61. Christoph Breunig, 2016. "Specification Testing in Nonparametric Instrumental Quantile Regression," SFB 649 Discussion Papers SFB649DP2016-032, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    62. Torgovitsky, Alexander, 2017. "Minimum distance from independence estimation of nonseparable instrumental variables models," Journal of Econometrics, Elsevier, vol. 199(1), pages 35-48.
    63. Boizot-Szantai, Christine & Etile, Fabrice, 2005. "The Food Prices / Body Mass Index Relationship: Theory and Evidence from a Sample of French Adults," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24734, European Association of Agricultural Economists.
    64. Susanne M. Schennach & Halbert White & Karim Chalak, 2007. "Estimating average marginal effects in nonseparable structural systems," CeMMAP working papers CWP31/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    65. Heng Chen & Kim Huynh & Oz Shy, 2017. "Cash Versus Card: Payment Discontinuities and the Burden of Holding Coins," Staff Working Papers 17-47, Bank of Canada.
    66. Edvin Xhango, 2017. "Fiscal Burden And Business Opportunities," Sociology and Social Work Review, International Society for projects in Education and Research, vol. 1(2), pages 46-55, December.
    67. Chesher, Andrew, 2007. "Instrumental values," Journal of Econometrics, Elsevier, vol. 139(1), pages 15-34, July.
    68. Tae-Hwan Kim & Christophe Muller, 2013. "A Test for Endogeneity in Conditional Quantiles," AMSE Working Papers 1342, Aix-Marseille School of Economics, France, revised Aug 2013.
    69. Chernozhukov, Victor & Imbens, Guido W. & Newey, Whitney K., 2007. "Instrumental variable estimation of nonseparable models," Journal of Econometrics, Elsevier, vol. 139(1), pages 4-14, July.
    70. Andrew Chesher, 2005. "Identification with excess heterogeneity," CeMMAP working papers CWP19/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    71. Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.
    72. Sokbae (Simon) Lee & Bernard Salanie, 2018. "Identifying effects of multivalued treatments," CeMMAP working papers CWP34/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    73. George Halkos & Kyriaki Tsilika, 2015. "Programming Identification Criteria in Simultaneous Equation Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 157-170, June.
    74. Jeremy T. Fox & Amit Gandhi, 2011. "Identifying Demand with Multidimensional Unobservables: A Random Functions Approach," NBER Working Papers 17557, National Bureau of Economic Research, Inc.
    75. Kasy, Maximilian, "undated". "Instrumental variables with unrestricted heterogeneity and continuous treatment - DON'T CITE! SEE ERRATUM BELOW," Working Paper 33257, Harvard University OpenScholar.
    76. Xiaohong Chen & Demian Pouzo, 2008. "Estimation of nonparametric conditional moment models with possibly nonsmooth moments," CeMMAP working papers CWP12/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    77. Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile Regression with Censoring and Endogeneity," Cowles Foundation Discussion Papers 1797, Cowles Foundation for Research in Economics, Yale University.
    78. Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Papers 1910.04245, arXiv.org.
    79. 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.
    80. Arthur Lewbel, 2006. "Modeling Heterogeneity," Boston College Working Papers in Economics 650, Boston College Department of Economics.
    81. 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.
    82. Denis Chetverikov & Bradley Larsen & Christopher Palmer, 2016. "IV Quantile Regression for Group‐Level Treatments, With an Application to the Distributional Effects of Trade," Econometrica, Econometric Society, vol. 84, pages 809-833, March.
    83. Santos, Andres, 2011. "Instrumental variable methods for recovering continuous linear functionals," Journal of Econometrics, Elsevier, vol. 161(2), pages 129-146, April.
    84. Xavier d'Haultfoeuille, 2006. "On the Completeness Condition in Nonparametric Instrumental Problems," Working Papers 2006-32, Center for Research in Economics and Statistics.
    85. Steven T. Berry & Philip A. Haile, 2015. "Identification of Nonparametric Simultaneous Equations Models with a Residual Index Structure," Cowles Foundation Discussion Papers 2008, Cowles Foundation for Research in Economics, Yale University.
    86. Giovanni Forchini, 2012. "Structural Equations and Invariance," School of Economics Discussion Papers 0312, School of Economics, University of Surrey.
    87. Francesco Andreoli & Giorgia Casalone & Daniela Sonedda, 2018. "Public education provision, private schooling and income redistribution," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 553-582, December.
    88. Gracious M. Diiro & Abdoul G. Sam & David Kraybill, 2017. "Heterogeneous Effects of Maternal Labor Market Participation on the Nutritional Status of Children: Empirical Evidence from Rural India," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 10(3), pages 609-632, September.
    89. Jia-Young Michael Fu & Joel L. Horowitz & Matthias Parey, 2015. "Testing exogeneity in nonparametric instrumental variables identified by conditional quantile restrictions," CeMMAP working papers CWP68/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    90. Joel L. Horowitz & Sokbae Lee, 2007. "Nonparametric Instrumental Variables Estimation of a Quantile Regression Model," Econometrica, Econometric Society, vol. 75(4), pages 1191-1208, July.
    91. Lee, Sokbae, 2007. "Endogeneity in quantile regression models: A control function approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1131-1158, December.
    92. Xiaohong Chen & Yingyao Hu, 2006. "Identification and Inference of Nonlinear Models Using Two Samples with Arbitrary Measurement Errors," Cowles Foundation Discussion Papers 1590, Cowles Foundation for Research in Economics, Yale University.
    93. Jeremy T. Fox & Amit Gandhi, 2009. "Identifying Heterogeneity in Economic Choice Models," NBER Working Papers 15147, National Bureau of Economic Research, Inc.
    94. Hubner, Stefan, 2016. "Topics in nonparametric identification and estimation," Other publications TiSEM 08fce56b-3193-46e0-871b-0, Tilburg University, School of Economics and Management.
    95. Baer, Werner & Galvão Jr., Antonio Fialho, 2008. "Tax burden, government expenditures and income distribution in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(2), pages 345-358, May.
    96. Chesher, Andrew, 2009. "Excess heterogeneity, endogeneity and index restrictions," Journal of Econometrics, Elsevier, vol. 152(1), pages 37-45, September.
    97. Brunello, Giorgio & Fabbri, Daniele & Fort, Margherita, 2009. "Years of Schooling, Human Capital and the Body Mass Index of European Females," IZA Discussion Papers 4667, Institute of Labor Economics (IZA).
    98. Lee, Jinhyun, 2013. "A Consistent Nonparametric Bootstrap Test of Exogeneity," SIRE Discussion Papers 2013-95, Scottish Institute for Research in Economics (SIRE).
    99. Hu, Yingyao & Shiu, Ji-Liang & Woutersen, Tiemen, 2016. "Identification in nonseparable models with measurement errors and endogeneity," Economics Letters, Elsevier, vol. 144(C), pages 33-36.
    100. Andrew Chesher & Adam Rosen, 2014. "Generalized instrumental variable models," CeMMAP working papers 04/14, Institute for Fiscal Studies.
    101. Amann, R. & Klein, T.J., 2011. "Returns to Type or Tenure?," Discussion Paper 2011-001, Tilburg University, Center for Economic Research.
    102. Tae-Hwan Kim, & Christophe Muller, 2012. "Bias Transmission and Variance Reduction in Two-Stage Quantile Regression," AMSE Working Papers 1221, Aix-Marseille School of Economics, France.
    103. Christoph Breunig, 2019. "Specification Testing in Nonparametric Instrumental Quantile Regression," Papers 1909.10129, arXiv.org.
    104. Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2017. "Non-separable Models with High-dimensional Data," Economics and Statistics Working Papers 15-2017, Singapore Management University, School of Economics.
    105. Wooldridge, Jeffrey M., 2014. "Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 182(1), pages 226-234.
    106. Rothe, Christoph, 2009. "Identification of Unconditional Partial Effects in Non Separable Models," TSE Working Papers 09-054, Toulouse School of Economics (TSE).
    107. Halbert White & Karim Chalak, 2013. "Identification and Identification Failure for Treatment Effects Using Structural Systems," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 273-317, November.
    108. Jun, Sung Jae, 2009. "Local structural quantile effects in a model with a nonseparable control variable," Journal of Econometrics, Elsevier, vol. 151(1), pages 82-97, July.
    109. Brancaccio, Giulia & Kalouptsidi, Myrto & Papageorgiou, Theodore, 2020. "A guide to estimating matching functions in spatial models," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    110. Olivier Donni, 2006. "On the identification of Frisch Labor supplies," Cahiers de recherche 0620, CIRPEE.
    111. Zequn Jin & Lihua Lin & Zhengyu Zhang, 2022. "Identification and Auto-debiased Machine Learning for Outcome Conditioned Average Structural Derivatives," Papers 2211.07903, arXiv.org.
    112. Stefan Hoderlein, 2009. "How Many Consumers are Rational?," Boston College Working Papers in Economics 748, Boston College Department of Economics.
    113. Ivana Komunjer & Andres Santos, 2010. "Semi-parametric estimation of non-separable models: a minimum distance from independence approach," Econometrics Journal, Royal Economic Society, vol. 13(3), pages 28-55, October.
    114. Pedro Carneiro & Sokbae (Simon) Lee, 2005. "Ability, sorting and wage inequality," CeMMAP working papers CWP16/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    115. Nikolay Didenko, 2020. "Modeling the global nickel market with a triangular simultaneous equations model," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 119-129, May.
    116. Giorgio Brunello & Margherita Fort & Guglielmo Weber, 2009. "Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," Economic Journal, Royal Economic Society, vol. 119(536), pages 516-539, March.
    117. Wang, Ao, 2023. "Sieve BLP: A semi-nonparametric model of demand for differentiated products," Journal of Econometrics, Elsevier, vol. 235(2), pages 325-351.
    118. Jayeeta Bhattacharya, 2020. "Quantile regression with generated dependent variable and covariates," Papers 2012.13614, arXiv.org.
    119. Chesher, Andrew & Smolinski, Konrad, 2012. "IV models of ordered choice," Journal of Econometrics, Elsevier, vol. 166(1), pages 33-48.
    120. Matthew Masten & Alexandre Poirier, 2016. "Partial independence in nonseparable models," CeMMAP working papers 26/16, Institute for Fiscal Studies.
    121. Matzkin, Rosa L., 2012. "Identification in nonparametric limited dependent variable models with simultaneity and unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 166(1), pages 106-115.
    122. Christina Christou & Ruthira Naraidoo & Rangan Gupta & Won Joong Kim, 2017. "Monetary Policy Reaction Functions of the TICKs: A Quantile Regression Approach," Working Papers 201738, University of Pretoria, Department of Economics.
    123. Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2020. "A first-stage test for instrumental variables quantile regression," Asociación Argentina de Economía Política: Working Papers 4304, Asociación Argentina de Economía Política.
    124. Weili Ding & Steven F. Lehrer, 2010. "Estimating Treatment Effects from Contaminated Multiperiod Education Experiments: The Dynamic Impacts of Class Size Reductions," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 31-42, February.
    125. 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.
    126. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers CWP36/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    127. Wüthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 219-235.
    128. Martin Nordin, 2008. "Ability and rates of return to schooling—making use of the Swedish enlistment battery test," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(3), pages 703-717, July.
    129. Woocheol Kim, 2004. "Identification And Estimation Of Nonparametric Structural," Econometric Society 2004 Far Eastern Meetings 733, Econometric Society.
    130. Schennach, Susanne & White, Halbert & Chalak, Karim, 2012. "Local indirect least squares and average marginal effects in nonseparable structural systems," Journal of Econometrics, Elsevier, vol. 166(2), pages 282-302.
    131. Carolina Caetano & Juan Carlos Escaniano, 2015. "Identifying Multiple Marginal Effects with a Single Binary Instrument or by Regression Discontinuity," CAEPR Working Papers 2015-009, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    132. Chiappori, Pierre-Andre & Komunjer, Ivana, 2008. "Correct Specification and Identification of Nonparametric Transformation Models," University of California at San Diego, Economics Working Paper Series qt4v12m2rg, Department of Economics, UC San Diego.
    133. Amann, R. & Klein, T.J., 2012. "Returns to type or tenure?," Other publications TiSEM bbaff25b-f973-40a6-911d-2, Tilburg University, School of Economics and Management.
    134. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    135. Andrew Chesher, 2008. "Instrumental variable models for discrete outcomes," CeMMAP working papers CWP30/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    136. Andrew Chesher & Konrad Smolinski, 2010. "Sharp identified sets for discrete variable IV models," CeMMAP working papers CWP11/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    137. Guevara, C. Angelo, 2015. "Critical assessment of five methods to correct for endogeneity in discrete-choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 240-254.
    138. 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.
    139. Brunello, Giorgio & Fort, Margherita & Weber, Guglielmo, 2007. "“For One More Year with You”: Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," IZA Discussion Papers 3102, Institute of Labor Economics (IZA).
    140. Yingying DONG & Ying-Ying LEE & Michael GOU, 2019. "Regression Discontinuity Designs with a Continuous Treatment," Discussion papers 19058, Research Institute of Economy, Trade and Industry (RIETI).
    141. Apergis, Nicholas & Christou, Christina, 2015. "The behaviour of the bank lending channel when interest rates approach the zero lower bound: Evidence from quantile regressions," Economic Modelling, Elsevier, vol. 49(C), pages 296-307.
    142. Kirill Evdokimov & Ilze Kalnina & Andrei Zeleneev, 2023. "Marginal effects for probit and tobit with endogeneity," CeMMAP working papers 11/23, Institute for Fiscal Studies.
    143. Schennach, Susanne M., 2008. "Quantile Regression With Mismeasured Covariates," Econometric Theory, Cambridge University Press, vol. 24(4), pages 1010-1043, August.
    144. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers 36/17, Institute for Fiscal Studies.
    145. Thomas Bassetti & Silvia Blasi & Silvia Rita Sedita, 2021. "The management of sustainable development: A longitudinal analysis of the effects of environmental performance on economic performance," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 21-37, January.
    146. Kenichi Nagasawa, 2018. "Treatment Effect Estimation with Noisy Conditioning Variables," Papers 1811.00667, arXiv.org, revised Sep 2022.
    147. 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.
    148. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    149. Nagasawa, Kenichi, 2020. "Identification and Estimation of Group-Level Partial Effects," The Warwick Economics Research Paper Series (TWERPS) 1243, University of Warwick, Department of Economics.
    150. Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
    151. DePaula, Guilherme, 2020. "The distributional effect of climate change on agriculture: Evidence from a Ricardian quantile analysis of Brazilian census data," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    152. Komarova Tatiana & Severini Thomas A. & Tamer Elie T., 2012. "Quantile Uncorrelation and Instrumental Regressions," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 2-14, August.
    153. Hiroaki Kaido & Kaspar Wüthrich, 2018. "Decentralization estimators for instrumental variable quantile regression models," CeMMAP working papers CWP72/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    154. C. Lanier Benkard & Steven Berry, 2006. "On the Nonparametric Identification of Nonlinear Simultaneous Equations Models: Comment on Brown (1983) and Roehrig (1988)," Econometrica, Econometric Society, vol. 74(5), pages 1429-1440, September.
    155. Victor Chernozhukov & Roberto Rigobon & Thomas M. Stoker, 2009. "Set identification with Tobin regressors," CeMMAP working papers CWP12/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    156. Desire Kedagni & Ismael Mourifie, 2014. "Tightening Bounds In Triangular Systems," Working Papers tecipa-515, University of Toronto, Department of Economics.
    157. Brendan Kline, 2016. "Identification of the Direction of a Causal Effect by Instrumental Variables," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 176-184, April.
    158. Florian Gunsilius, 2018. "Non-testability of instrument validity under continuous endogenous variables," Papers 1806.09517, arXiv.org, revised Nov 2020.
    159. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
    160. Ian Crawford & Matthew Polisson, 2015. "Demand analysis with partially observed prices," IFS Working Papers W15/16, Institute for Fiscal Studies.
    161. Juan Byron Correa Fonnegra & Carlos Augusto Viáfara López & Víctor Hugo Zuluaga González, 2011. "Desigualdad étnico-racial en la distribución del ingreso en Colombia: Un análisis a partir de Regresión Cuantílica," Revista Sociedad y Economía, Universidad del Valle, CIDSE, February.
    162. Blundell, Richard, 2010. "Comments on: Michael P. Keane 'Structural vs. atheoretic approaches to econometrics'," Journal of Econometrics, Elsevier, vol. 156(1), pages 25-26, May.
    163. Tae-Hwan Kim & Christophe Muller, 2012. "A test for endogeneity in conditional quantile models," Working papers 2012rwp-49, Yonsei University, Yonsei Economics Research Institute.
    164. Steven T. Berry & Philip A. Haile, 2011. "Identification in a Class of Nonparametric Simultaneous Equations Models," Cowles Foundation Discussion Papers 1787R2, Cowles Foundation for Research in Economics, Yale University, revised Nov 2013.
    165. Chen, Heng & Fan, Yanqin, 2019. "Identification and wavelet estimation of weighted ATE under discontinuous and kink incentive assignment mechanisms," Journal of Econometrics, Elsevier, vol. 212(2), pages 476-502.
    166. Liangjun Su & Stefan Hoderlein & Halbert White, 2013. "Testing Monotonicity in Unobservables with Panel Data," Boston College Working Papers in Economics 892, Boston College Department of Economics, revised 01 Feb 2016.
    167. Wang, Ao, 2020. "Identifying the Distribution of Random Coefficients in BLP Demand Models Using One Single Variation in Product Characteristics," The Warwick Economics Research Paper Series (TWERPS) 1304, University of Warwick, Department of Economics.
    168. Giovanni Forchini, 2014. "A General Result on Observational Equivalence in a Class of Nonparametric Structural Equations Models," School of Economics Discussion Papers 0114, School of Economics, University of Surrey.
    169. Lee, Jinhyun, 2013. "Sharp Bounds on Heterogeneous Individual Treatment Responses," SIRE Discussion Papers 2013-89, Scottish Institute for Research in Economics (SIRE).
    170. Christopher Adjaho & Timothy Christensen, 2022. "Externally Valid Policy Choice," Papers 2205.05561, arXiv.org, revised Jul 2023.
    171. 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.
    172. Sokbae (Simon) Lee, 2004. "Endogeneity in quantile regression models: a control function approach," CeMMAP working papers 08/04, Institute for Fiscal Studies.
    173. Rothe, Christoph, 2009. "Semiparametric estimation of binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 153(1), pages 51-64, November.
    174. Lokossou, Jourdain & Arouna, Aminou & Diagne, Aliou & Biaou, Gauthier, 2015. "Gender differential Impact of NERICA adoption on Total Factor Productivity: evidence from Benin Republic," 2015 Conference, August 9-14, 2015, Milan, Italy 212056, International Association of Agricultural Economists.
    175. Christophe Bruneel-Zupanc, 2023. "Don't (fully) exclude me, it's not necessary! Identification with semi-IVs," Papers 2303.12667, arXiv.org, revised Jul 2023.
    176. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    177. Kaspar W thrich, 2015. "Semiparametric estimation of quantile treatment effects with endogeneity," Diskussionsschriften dp1509, Universitaet Bern, Departement Volkswirtschaft.
    178. Chavleishvili, Sulkhan & Manganelli, Simone, 2019. "Forecasting and stress testing with quantile vector autoregression," Working Paper Series 2330, European Central Bank.
    179. David Card & David S. Lee & Zhuan Pei, 2009. "Quasi-Experimental Identification and Estimation in the Regression Kink Design," Working Papers 1206, Princeton University, Department of Economics, Industrial Relations Section..
    180. Halbert White & Karim Chalak, 2008. "Identifying Structural Effects in Nonseparable Systems Using Covariates," Boston College Working Papers in Economics 734, Boston College Department of Economics.
    181. Montes-Rojas, Gabriel, 2017. "Reduced form vector directional quantiles," Journal of Multivariate Analysis, Elsevier, vol. 158(C), pages 20-30.
    182. Rothe, Christoph, 2010. "Identification of unconditional partial effects in nonseparable models," Economics Letters, Elsevier, vol. 109(3), pages 171-174, December.
    183. Schiraldi, Pasquale & Levy, Matthew R., 2021. "Identification of Dynamic Discrete-Continuous Choice Models, with an Application to Consumption-Savings-Retirement," CEPR Discussion Papers 15719, C.E.P.R. Discussion Papers.
    184. Victor Chernozhukov & Roberto Rigobon & Thomas M. Stoker, 2010. "Set identification and sensitivity analysis with Tobin regressors," Quantitative Economics, Econometric Society, vol. 1(2), pages 255-277, November.
    185. Sulkhan Chavleishvili & Simone Manganelli, 2024. "Forecasting and stress testing with quantile vector autoregression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 66-85, January.
    186. 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.
    187. Santiago Pereda Fernández, 2016. "Estimation of counterfactual distributions with a continuous endogenous treatment," Temi di discussione (Economic working papers) 1053, Bank of Italy, Economic Research and International Relations Area.
    188. Hubner, Stefan, 2023. "Identification of unobserved distribution factors and preferences in the collective household model," Journal of Econometrics, Elsevier, vol. 234(1), pages 301-326.

  17. Chesher, Andrew & Dumangane, Montezuma & Smith, Richard J., 2002. "Duration response measurement error," Journal of Econometrics, Elsevier, vol. 111(2), pages 169-194, December.

    Cited by:

    1. Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, January.
    2. D. O'Neill & Sweetman. O. & Van de gaer D., 2005. "The Consequences of Non-Classical Measurement Error for Distributional Analysis," Economics Department Working Paper Series n1490205, Department of Economics, National University of Ireland - Maynooth.
    3. Ramalho Esmeralda A., 2010. "Covariate Measurement Error: Bias Reduction under Response-Based Sampling," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-34, September.
    4. Esmeralda Ramalho, 2004. "Covariate Measurement Error in Endogenous Stratified Samples," Economics Working Papers 2_2004, University of Évora, Department of Economics (Portugal).
    5. Young Jun Lee & Daniel Wilhelm, 2020. "Testing for the presence of measurement error in Stata," Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
    6. Andrew Chesher, 2017. "Understanding the effect of measurement error on quantile regressions," CeMMAP working papers CWP19/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Arnstein Aassve & Simon Burgess & Carol Propper & Matt Dickson, 2003. "Employment, family union, and childbearing decisions in Great Britain," MPIDR Working Papers WP-2003-027, Max Planck Institute for Demographic Research, Rostock, Germany.
    8. 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.
    9. Chesher, Andrew & Dhaene, Geert & Gouriéroux, Christian & Scaillet, Olivier, 1999. "Bartlett Identities Tests," LIDAM Discussion Papers IRES 1999019, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    10. Andrew Chesher, 2000. "Polynomial Regression with Normal Covariate Measurement Error," Econometric Society World Congress 2000 Contributed Papers 1911, Econometric Society.
    11. Battistin, Erich & Chesher, Andrew, 2014. "Treatment effect estimation with covariate measurement error," Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
    12. Gutknecht, Daniel, 2011. "Nonclassical Measurement Error in a Nonlinear (Duration) Model," Economic Research Papers 270763, University of Warwick - Department of Economics.
    13. Astrid Kunze & Kenneth R. Troske, 2015. "Gender differences in job search among young workers: A study using displaced workers in the United States," Southern Economic Journal, John Wiley & Sons, vol. 82(1), pages 185-207, July.

  18. Andrew Chesher & Christian Schluter, 2002. "Welfare Measurement and Measurement Error," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(2), pages 357-378.
    See citations under working paper version above.
  19. Andrew Chesher & J. M. C. Santos Silva, 2002. "Taste Variation in Discrete Choice Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(1), pages 147-168.

    Cited by:

    1. Hartl, J., 2006. "Consumer Perception and Decision Behaviour Presentation of a Theoretical Model for Future Research," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 41, March.
    2. Antonio Merlo & Áureo de Paula, 2015. "Identification and estimation of preference distributions when voters are ideological," CeMMAP working papers CWP50/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. C. Monfardini & J.M.C. Santos Silva, 2006. "What can we learn about correlations from multinomial probit estimates?," Working Papers 558, Dipartimento Scienze Economiche, Universita' di Bologna.
    4. Denis Beninger & François Laisney, 2006. "On the performance of unitary models of household labor supply estimated on “collective” data with taxation," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 81, pages 5-36.
    5. Ramalho Esmeralda A., 2010. "Covariate Measurement Error: Bias Reduction under Response-Based Sampling," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-34, September.
    6. Esmeralda Ramalho, 2004. "Covariate Measurement Error in Endogenous Stratified Samples," Economics Working Papers 2_2004, University of Évora, Department of Economics (Portugal).
    7. Carlos P. Barros & Luis A. Gil-Alana, 2011. "Terrorism: The Case of ETA," Chapters, in: Derek L. Braddon & Keith Hartley (ed.), Handbook on the Economics of Conflict, chapter 16, Edward Elgar Publishing.
    8. Guglielmo Maria Caporale & Carlos Pestana Barros & Bruno Damasio, 2013. "Foreign direct investment in the Asian economies," NCID Working Papers 10/2013, Navarra Center for International Development, University of Navarra.
    9. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    10. Andrew Chesher, 2017. "Understanding the effect of measurement error on quantile regressions," CeMMAP working papers CWP19/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Barros, Carlos Pestana & Ferreira, Candida & Williams, Jonathan, 2007. "Analysing the determinants of performance of best and worst European banks: A mixed logit approach," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2189-2203, July.
    12. Carlos Pestana Barros & Zhongfei Chen & Luis A. Gil-Alana, 2011. "Housing Sales in Urban Beijing," Faculty Working Papers 10/11, School of Economics and Business Administration, University of Navarra.
    13. Iman Farzin & Mohammadhossein Abbasi & Elżbieta Macioszek & Amir Reza Mamdoohi & Francesco Ciari, 2022. "Moving toward a More Sustainable Autonomous Mobility, Case of Heterogeneity in Preferences," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    14. Andrew Chesher, 2005. "Identification with excess heterogeneity," CeMMAP working papers CWP19/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. José M.R. Murteira & Joaquim J.S. Ramalho, 2013. "Regression Analysis of Multivariate Fractional Data," CEFAGE-UE Working Papers 2013_05, University of Evora, CEFAGE-UE (Portugal).
    16. Eric Gautier & Yuichi Kitamura, 2011. "Nonparametric estimation in random coefficients binary choice models," Working Papers hal-00403939, HAL.
    17. Klein, T.J., 2008. "Heterogeneous Treatment Effects : Instrumental Variables Without Monotonicity?," Other publications TiSEM e015611a-6b97-4cd5-8dc8-7, Tilburg University, School of Economics and Management.
    18. Antónia Correia & Carlos Pestana Barros & António Luís Silvestre, 2007. "Golf Tourism Repeat Choice Behaviour in the Algarve: A Mixed Logit Approach," Tourism Economics, , vol. 13(1), pages 111-127, March.
    19. Carlos Barros & Ade Ibiwoye, 2012. "Performance, heterogeneity and managerial efficiency of African airports: the Nigerian Case," CEsA Working Papers 106, CEsA - Centre for African and Development Studies.
    20. Dragana Djurdjevic, 2005. "Unemployment and Under-Employment: The Case of Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 141(I), pages 23-70, March.
    21. Carlos Pestana Barros & Gaël Bertrand & Laurent Botti & Scott Tainsky, 2014. "Cost efficiency of French rugby clubs," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2721-2732, August.
    22. Battistin, Erich & Chesher, Andrew, 2014. "Treatment effect estimation with covariate measurement error," Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
    23. Carlos Barros & Isabel Proenca & Jose Cabral Vieira, 2005. "Low-wage employment in Portugal: a mixed logit approach," Labor and Demography 0508001, University Library of Munich, Germany.
    24. Chesher, Andrew, 2009. "Excess heterogeneity, endogeneity and index restrictions," Journal of Econometrics, Elsevier, vol. 152(1), pages 37-45, September.
    25. Carlos Pestana Barros & Shunsuke Managi & Yuichiro Yoshida, 2010. "Technical Efficiency, Regulation And Heterogeneity In Japanese Airports," Pacific Economic Review, Wiley Blackwell, vol. 15(5), pages 685-696, December.
    26. Chomitz, Kenneth M. & Setiadi, Gunawan & Azwar, Azrul & Ismail, Nusye & Widiyarti, 1998. "What do doctors want? developing incentives for doctors to serve in Indonesia's rural and remote areas," Policy Research Working Paper Series 1888, The World Bank.
    27. Barros, Carlos Pestana, 2014. "Airports and tourism in Mozambique," Tourism Management, Elsevier, vol. 41(C), pages 76-82.
    28. Pudney, Stephen & Hancock, Ruth & Henandez, Monica, 2004. "Participation in multiple welfare programmes: discrete choice with heterogeneous awareness," ISER Working Paper Series 2004-15, Institute for Social and Economic Research.
    29. Matzkin, Rosa L., 2012. "Identification in nonparametric limited dependent variable models with simultaneity and unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 166(1), pages 106-115.
    30. Daniele Pacifico, 2010. "On the role of unobserved preference heterogeneity in discrete choice models of labour supply," Center for the Analysis of Public Policies (CAPP) 0071, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    31. Jia, Zhiyang, 2003. "A Mixture Model of Household Retirement Choice," Memorandum 04/2003, Oslo University, Department of Economics.
    32. Carlos Pestana Barros & Isabel Proença, 2005. "Mixed Logit Estimation of Radical Islamic Terrorism in Europe and North America," Journal of Conflict Resolution, Peace Science Society (International), vol. 49(2), pages 298-314, April.
    33. Jinyong Hahn & Jerry Hausman & Josh Lustig, 2017. "Specification test on mixed logit models," CeMMAP working papers 58/17, Institute for Fiscal Studies.
    34. Pestana Barros, Carlos & Sequeira Antunes, Olinda, 2011. "Performance assessment of Portuguese wind farms: Ownership and managerial efficiency," Energy Policy, Elsevier, vol. 39(6), pages 3055-3063, June.
    35. Klein, T.J., 2010. "Heterogeneous treatment effects : Instrumental variables without monotonicity?," Other publications TiSEM 0ec85b01-ab6a-4c2a-9e23-1, Tilburg University, School of Economics and Management.
    36. Barros, Carlos Pestana & Butler, Richard & Correia, Antónia, 2010. "The length of stay of golf tourism: A survival analysis," Tourism Management, Elsevier, vol. 31(1), pages 13-21.
    37. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    38. Barros, Carlos Pestana & Managi, Shunsuke, 2009. "Regulation, pollution and heterogeneity in Japanese steam power generation companies," Energy Policy, Elsevier, vol. 37(8), pages 3109-3114, August.
    39. Arne Risa Hole, 2007. "Modelling Heterogeneity in Patients' Preferences for the Attributes of a General Practitioner Appointment," Working Papers 022cherp, Centre for Health Economics, University of York.
    40. Laisney, François & Beninger, Denis, 2002. "Comparison between unitary and collective models of household labor supply with taxation," ZEW Discussion Papers 02-65, ZEW - Leibniz Centre for European Economic Research.
    41. Daniele Pacifico, 2014. "On the role of unobserved preference Heterogeneity in discrete choice Models of labour supply," Working Papers 6, Department of the Treasury, Ministry of the Economy and of Finance.
    42. Antonio Merlo & Aureo de Paula, 2010. "Identification and Estimation of Preference Distributions When Voters Are Ideological, Second Version," PIER Working Paper Archive 13-055, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 13 Oct 2013.
    43. J.M.C. Santos Silva, 2004. "Deriving welfare measures in discrete choice experiments: a comment to Lancsar and Savage (2)," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 913-918, September.
    44. Carlos Pestana Barros & Isabel Proenca & Joao Ricardo Faria & Luis Gil-Alana, 2007. "Are Usa Citizens At Risk Of Terrorism In Europe?," Defence and Peace Economics, Taylor & Francis Journals, vol. 18(6), pages 495-507.

  20. Arnstein Aassve & Simon Burgess & Andrew Chesher & Carol Propper, 2002. "Transitions from home to marriage of young Americans," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(1), pages 1-23.
    See citations under working paper version above.
  21. Simon Peters & Andrew Chesher, 2000. "On the Use of Enumeration for Investigating the Performance of Hypothesis Tests for Economic Models with a Discrete Response Variable," Computational Economics, Springer;Society for Computational Economics, vol. 15(3), pages 273-289, June.

    Cited by:

    1. Eleni Aristodemou, 2022. "Strictly log-concave probability distributions in discrete response models," University of Cyprus Working Papers in Economics 06-2022, University of Cyprus Department of Economics.
    2. Aristodemou, Eleni, 2023. "Strictly log-concave probability distributions in discrete response models," Statistics & Probability Letters, Elsevier, vol. 193(C).

  22. Andrew Chesher, 1998. "Individual demands from household aggregates: time and age variation in the composition of diet," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 505-524.

    Cited by:

    1. Miquel, Ruth & Laisney, François, 2000. "Consumption and nutrition: age - intake profiles for Czechoslovakia 1989 - 1992," ZEW Discussion Papers 00-63, ZEW - Leibniz Centre for European Economic Research.
    2. Taha Choukhmane & Nicolas Coeurdacier & Keyu Jin, 2014. "The One-Child Policy and Household Savings," Sciences Po publications 9688, Sciences Po.
    3. Guibaud, Stéphane & Coeurdacier, Nicolas & Jin, Keyu, 2012. "Credit Constraints and Growth in a Global Economy," CEPR Discussion Papers 9109, C.E.P.R. Discussion Papers.
    4. Céline Bonnet & Vincent Réquillart, 2023. "The effects of taxation on the individual consumption of sugar-sweetened beverages," Post-Print hal-04216796, HAL.
    5. Thomas F. Crossley & Yuri Ostrovsky, 2003. "A Synthetic Cohort Analysis of Canadian Housing Careers," Social and Economic Dimensions of an Aging Population Research Papers 107, McMaster University.
    6. Smed, Sinne & Jensen, Jorgen D. & Denver, Sigrid, 2007. "Socio-economic characteristics and the effect of taxation as a health policy instrument," Food Policy, Elsevier, vol. 32(5-6), pages 624-639.
    7. Jorge Valero-Gil & Magali Valero, 2013. "Nutritional Intake and Poverty in Mexico: 1984--2010," Journal of Development Studies, Taylor & Francis Journals, vol. 49(10), pages 1375-1396, October.
    8. Bonnet, Céline & Dubois, Pierre & Orozco, Valérie, 2009. "Household Food Consumption, Individual Caloric Intake and Obesity in France," IDEI Working Papers 546, Institut d'Économie Industrielle (IDEI), Toulouse, revised May 2011.
    9. Ruth Miquel & François Laisney, 1999. "Consumption and Nutrition:Age - Intake Profiles for Czechoslovakia," Working Papers of BETA 9921, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    10. Sumru Altug & Melih Can Firat, 2018. "Borrowing Constraints and Savings in Turkey," Koç University-TUSIAD Economic Research Forum Working Papers 1804, Koc University-TUSIAD Economic Research Forum.
    11. Luca Pieroni & Donatella Lanari & Luca Salmasi, 2010. "Food Prices and Overweight Patterns in Italy," EERI Research Paper Series EERI_RP_2010_40, Economics and Econometrics Research Institute (EERI), Brussels.
    12. De Agostini, Paola, 2007. "Diet composition, socio-economic status and food outlets development in Britain," ISER Working Paper Series 2007-09, Institute for Social and Economic Research.
    13. Taha Choukhmane & Nicolas Coeurdacier & Keyu Jin, 2014. "The One-Child Policy and Household Savings," SciencePo Working papers Main hal-03460407, HAL.
    14. De Agostini, Paola, 2014. "The effect of food prices and household income on the British diet," ISER Working Paper Series 2014-10, Institute for Social and Economic Research.
    15. Dhehibi, Boubaker & Gil, Jose Maria & Angulo, Ana Maria, 2003. "Nutrient Effects On Consumer Demand: A Panel Data Approach," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25881, International Association of Agricultural Economists.
    16. Martin Browning & Pierre-André Chiappori & Arthur Lewbel, "undated". "Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power," CAM Working Papers 2003-12, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics, revised Dec 2003.
    17. Deaton, A. & Paxson, C., 1998. "Saving and Growth: Another Look at the Cohort Evidence," Papers 182, Princeton, Woodrow Wilson School - Development Studies.
    18. Ayşe İmrohoroğlu & Kai Zhao, 2017. "The Chinese Saving Rate: Long-Term Care Risks, Family Insurance, and Demographics," Working papers 2017-17, University of Connecticut, Department of Economics.
    19. David Demery & Nigel Duck, 2006. "Demographic change and the UK savings rate," Applied Economics, Taylor & Francis Journals, vol. 38(2), pages 119-136.
    20. Nicolas Coeurdacier & Stéphane Guibaud & Keyu Jin, 2012. "Credit Constraints and Growth in a Global Economy," SciencePo Working papers Main hal-03473915, HAL.
    21. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2020. "Parents' Demand for Sugar Sweetened Beverages for Their Pre‐School Children: Evidence from a Stated‐Preference Experiment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 480-504, March.
    22. Rita Ginja, 2010. "Income Shocks and Investments in Human Capital," 2010 Meeting Papers 1165, Society for Economic Dynamics.
    23. Rachel Griffith & Martin O'Connell & Kate Smith & Rebekah Stroud, 2020. "What's on the Menu? Policies to Reduce Young People's Sugar Consumption," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 165-197, March.
    24. Keyu Jin & Nicolas Coeurdacier, 2013. "The One-Child Policy and Household Savings in China," 2013 Meeting Papers 790, Society for Economic Dynamics.
    25. David Demery & Nigel Duck, 2003. "Demographic Change and the UK Savings Rate," Bristol Economics Discussion Papers 03/550, School of Economics, University of Bristol, UK.

  23. Andrew Chesher & Richard J. Smith, 1997. "Likelihood Ratio Specification Tests," Econometrica, Econometric Society, vol. 65(3), pages 627-646, May.

    Cited by:

    1. Chesher, Andrew & Dumangane, Montezuma & Smith, Richard J., 2002. "Duration response measurement error," Journal of Econometrics, Elsevier, vol. 111(2), pages 169-194, December.
    2. Ramalho Esmeralda A., 2010. "Covariate Measurement Error: Bias Reduction under Response-Based Sampling," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-34, September.
    3. Esmeralda Ramalho, 2004. "Covariate Measurement Error in Endogenous Stratified Samples," Economics Working Papers 2_2004, University of Évora, Department of Economics (Portugal).
    4. Susanne M. Schennach & Daniel Wilhelm, 2014. "A simple parametric model selection test," CeMMAP working papers 10/14, Institute for Fiscal Studies.
    5. Yuichi Kitamura, 2006. "Empirical Likelihood Methods in Econometrics: Theory and Practice," CIRJE F-Series CIRJE-F-430, CIRJE, Faculty of Economics, University of Tokyo.
    6. Andreou, E. & Werker, B.J.M., 2004. "An Alternative Asymptotic Analysis of Residual-Based Statistics," Discussion Paper 2004-56, Tilburg University, Center for Economic Research.
    7. Guido W. Imbens & Phillip Johnson & Richard H. Spady, 1995. "Information Theoretic Approaches to Inference in Moment Condition Models," Harvard Institute of Economic Research Working Papers 1736, Harvard - Institute of Economic Research.
    8. Chesher, Andrew & Dhaene, Geert & Gouriéroux, Christian & Scaillet, Olivier, 1999. "Bartlett Identities Tests," LIDAM Discussion Papers IRES 1999019, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    9. Andreou, E. & Werker, B.J.M., 2004. "An Alternative Asymptotic Analysis of Residual-Based Statistics," Other publications TiSEM 93fe16c1-9f21-4dab-9b73-4, Tilburg University, School of Economics and Management.
    10. Francesco Bravo, "undated". "Empirical likelihood inference with applications to some econometric models," Discussion Papers 00/05, Department of Economics, University of York.
    11. Yi-Ting Chen & Zhongjun Qu, 2015. "M Tests with a New Normalization Matrix," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 617-652, May.
    12. Hahn, Jinyong & Newey, Whitney K. & Smith, Richard J., 2014. "Neglected heterogeneity in moment condition models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 86-100.
    13. Richard Smith, 2004. "GEL Criteria for Moment Condition Models," CeMMAP working papers CWP19/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Ronchetti, Elvezio, 2020. "Accurate and robust inference," Econometrics and Statistics, Elsevier, vol. 14(C), pages 74-88.
    15. Harris, Mark N. & Zhao, Xueyan, 2007. "A zero-inflated ordered probit model, with an application to modelling tobacco consumption," Journal of Econometrics, Elsevier, vol. 141(2), pages 1073-1099, December.
    16. Ramalho, Joaquim J. S. & Smith, Richard J., 2002. "Generalized empirical likelihood non-nested tests," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 99-125, March.

  24. Andrew Chesher, 1997. "Diet Revealed?: Semiparametric Estimation of Nutrient Intake–Age Relationships," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 160(3), pages 389-428, September.

    Cited by:

    1. Miquel, Ruth & Laisney, François, 2000. "Consumption and nutrition: age - intake profiles for Czechoslovakia 1989 - 1992," ZEW Discussion Papers 00-63, ZEW - Leibniz Centre for European Economic Research.
    2. Oliver B. Linton & Enno Mammen & J. Nielsen & Carsten Tanggaard, 2000. "Yield Curve Estimation by Kernel Smoothing Methods," Econometric Society World Congress 2000 Contributed Papers 0235, Econometric Society.
    3. Taha Choukhmane & Nicolas Coeurdacier & Keyu Jin, 2014. "The One-Child Policy and Household Savings," Sciences Po publications 9688, Sciences Po.
    4. von Hinke, Stephanie & Leckie, George, 2017. "Protecting energy intakes against income shocks," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 210-232.
    5. Guibaud, Stéphane & Coeurdacier, Nicolas & Jin, Keyu, 2012. "Credit Constraints and Growth in a Global Economy," CEPR Discussion Papers 9109, C.E.P.R. Discussion Papers.
    6. Amélie Crepet & Hugo Harari-Kermadec & Jessica Tressou, 2007. "Using Empirical Likelihood to Combine Data : Application to Food Risk Assessment," Working Papers 2007-20, Center for Research in Economics and Statistics.
    7. Jorge Valero-Gil & Magali Valero, 2013. "Nutritional Intake and Poverty in Mexico: 1984--2010," Journal of Development Studies, Taylor & Francis Journals, vol. 49(10), pages 1375-1396, October.
    8. Bonnet, Céline & Dubois, Pierre & Orozco, Valérie, 2009. "Household Food Consumption, Individual Caloric Intake and Obesity in France," IDEI Working Papers 546, Institut d'Économie Industrielle (IDEI), Toulouse, revised May 2011.
    9. Allais, Olivier & Bertail, Patrice & Nichele, Veronique, 2008. "The Effects of a "Fat Tax" on the Nutrient Intake of French Households," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43967, European Association of Agricultural Economists.
    10. Komlos, John, 2003. "On the Biological Standard of Living of Eighteenth-Century Americans: Taller, Richer, Healthier," Discussion Papers in Economics 53, University of Munich, Department of Economics.
    11. Ruth Miquel & François Laisney, 1999. "Consumption and Nutrition:Age - Intake Profiles for Czechoslovakia," Working Papers of BETA 9921, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    12. Vasdekis, V. G. S. & Trichopoulou, A., 2000. "Nonparametric estimation of individual food availability along with bootstrap confidence intervals in household budget surveys," Statistics & Probability Letters, Elsevier, vol. 46(4), pages 337-345, February.
    13. Sumru Altug & Melih Can Firat, 2018. "Borrowing Constraints and Savings in Turkey," Koç University-TUSIAD Economic Research Forum Working Papers 1804, Koc University-TUSIAD Economic Research Forum.
    14. Oliver Linton & E. Mammen & J. Nielsen & C. Tanggaard, 1998. "Estimating Yield Curves by Kernel Smoothing Methods," Cowles Foundation Discussion Papers 1205, Cowles Foundation for Research in Economics, Yale University.
    15. De Agostini, Paola, 2007. "Diet composition, socio-economic status and food outlets development in Britain," ISER Working Paper Series 2007-09, Institute for Social and Economic Research.
    16. De Agostini, Paola, 2014. "The effect of food prices and household income on the British diet," ISER Working Paper Series 2014-10, Institute for Social and Economic Research.
    17. Fiedler, John L. & Mwangi, Dena M., 2016. "Improving household consumption and expenditure surveys’ food consumption metrics: Developing a strategic approach to the unfinished agenda:," IFPRI discussion papers 1570, International Food Policy Research Institute (IFPRI).
    18. Deaton, A. & Paxson, C., 1998. "Saving and Growth: Another Look at the Cohort Evidence," Papers 182, Princeton, Woodrow Wilson School - Development Studies.
    19. Jérôme Adda, 2007. "Behavior towards health risks: An empirical study using the “Mad Cow” crisis as an experiment," Journal of Risk and Uncertainty, Springer, vol. 35(3), pages 285-305, December.
    20. Ayşe İmrohoroğlu & Kai Zhao, 2017. "The Chinese Saving Rate: Long-Term Care Risks, Family Insurance, and Demographics," Working papers 2017-17, University of Connecticut, Department of Economics.
    21. David Demery & Nigel Duck, 2006. "Demographic change and the UK savings rate," Applied Economics, Taylor & Francis Journals, vol. 38(2), pages 119-136.
    22. Stephanie von Hinke & George Leckie, 2017. "Protecting Calorie Intakes against Income Shocks," Bristol Economics Discussion Papers 17/684, School of Economics, University of Bristol, UK.
    23. Olivier Allais & Patrice Bertail & Véronique Nichèle, 2010. "The Effects of a Fat Tax on French Households' Purchases: A Nutritional Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 228-245.
    24. Wendy Wrieden & Joel Halligan & Louis Goffe & Karen Barton & Ilkka Leinonen, 2019. "Sustainable Diets in the UK—Developing a Systematic Framework to Assess the Environmental Impact, Cost and Nutritional Quality of Household Food Purchases," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    25. Nicolas Coeurdacier & Stéphane Guibaud & Keyu Jin, 2012. "Credit Constraints and Growth in a Global Economy," SciencePo Working papers Main hal-03473915, HAL.
    26. Amélie Crépet & Hugo Harari-Kermadec & Jessica Tressou, 2009. "Using Empirical Likelihood to Combine Data: Application to Food Risk Assessment," Biometrics, The International Biometric Society, vol. 65(1), pages 257-266, March.
    27. David Demery & Nigel Duck, 2003. "Demographic Change and the UK Savings Rate," Bristol Economics Discussion Papers 03/550, School of Economics, University of Bristol, UK.

  25. Chesher, Andrew, 1995. "A Mirror Image Invariance for M-Estimators," Econometrica, Econometric Society, vol. 63(1), pages 207-211, January.

    Cited by:

    1. Mackinnon, J.G. & Smith, A.A., 1996. "Approximate Bias Correction in Econometrics," G.R.E.Q.A.M. 96a14, Universite Aix-Marseille III.
    2. Charlier, Erwin & Melenberg, Bertrand & van Soest, Arthur, 2000. "Estimation of a censored regression panel data model using conditional moment restrictions efficiently," Journal of Econometrics, Elsevier, vol. 95(1), pages 25-56, March.
    3. Patrick M. Kline & Andres Santos, 2011. "Higher Order Properties of the Wild Bootstrap Under Misspecification," NBER Working Papers 16793, National Bureau of Economic Research, Inc.
    4. Kline Patrick & Santos Andres, 2012. "A Score Based Approach to Wild Bootstrap Inference," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 23-41, August.
    5. Ramalho, Esmeralda A. & Ramalho, Joaquim J.S., 2010. "Is neglected heterogeneity really an issue in binary and fractional regression models? A simulation exercise for logit, probit and loglog models," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 987-1001, April.
    6. Patrick M. Kline, 2014. "A Note on Variance Estimation for the Oaxaca Estimator of Average Treatment Effects," NBER Working Papers 19784, National Bureau of Economic Research, Inc.

  26. Chesher, Andrew & Peters, Simon, 1994. "Symmetry, Regression Design, and Sampling Distributions," Econometric Theory, Cambridge University Press, vol. 10(1), pages 116-129, March.

    Cited by:

    1. Kemp, Gordon C.R. & Santos Silva, J.M.C., 2012. "Regression towards the mode," Journal of Econometrics, Elsevier, vol. 170(1), pages 92-101.
    2. Mackinnon, J.G. & Smith, A.A., 1996. "Approximate Bias Correction in Econometrics," G.R.E.Q.A.M. 96a14, Universite Aix-Marseille III.
    3. Inkmann, Joachim, 2000. "Misspecified heteroskedasticity in the panel probit model: A small sample comparison of GMM and SML estimators," Journal of Econometrics, Elsevier, vol. 97(2), pages 227-259, August.
    4. Ramalho, Esmeralda A. & Ramalho, Joaquim J.S., 2010. "Is neglected heterogeneity really an issue in binary and fractional regression models? A simulation exercise for logit, probit and loglog models," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 987-1001, April.

  27. Chesher, Andrew & Spady, Richard, 1991. "Asymptotic Expansions of the Information Matrix Test Statistic," Econometrica, Econometric Society, vol. 59(3), pages 787-815, May.

    Cited by:

    1. Honore, Bo E. & Kyriazidou, Ekaterini & Udry, Christopher, 1997. "Estimation of Type 3 Tobit models using symmetric trimming and pairwise comparisons," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 107-128.
    2. Linton, Oliver, 1996. "Edgeworth Approximation for MINPIN Estimators in Semiparametric Regression Models," Econometric Theory, Cambridge University Press, vol. 12(1), pages 30-60, March.
    3. Chesher, Andrew & Dumangane, Montezuma & Smith, Richard J., 2002. "Duration response measurement error," Journal of Econometrics, Elsevier, vol. 111(2), pages 169-194, December.
    4. Stomberg, Christopher & White, Halbert, 2000. "Bootstrapping the Information Matrix Test," University of California at San Diego, Economics Working Paper Series qt158451cr, Department of Economics, UC San Diego.
    5. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    6. James G. MacKinnon & Russell Davidson, 1999. "Artificial Regressions," Working Paper 978, Economics Department, Queen's University.
    7. König, Heinz & Lechner, Michael, 1994. "Some recent developments in microeconometrics: A survey," ZEW Discussion Papers 94-12, ZEW - Leibniz Centre for European Economic Research.
    8. Russell Davidson & James G. MacKinnon, 1987. "Testing for Consistency using Artificial Regressions," Working Paper 687, Economics Department, Queen's University.
    9. Oliver Linton, 1993. "Second Order Approximation in the Partially Linear Regression Model," Cowles Foundation Discussion Papers 1065, Cowles Foundation for Research in Economics, Yale University.
    10. Jin Seo Cho & Peter C.B. Phillips, 2016. "Pythagorean Generalization of Testing the Equality of Two Symmetric Positive Definite Matrices," Working papers 2016rwp-89, Yonsei University, Yonsei Economics Research Institute.
    11. Guido W. Imbens & Phillip Johnson & Richard H. Spady, 1995. "Information Theoretic Approaches to Inference in Moment Condition Models," Harvard Institute of Economic Research Working Papers 1736, Harvard - Institute of Economic Research.
    12. Chesher, Andrew & Dhaene, Geert & Gouriéroux, Christian & Scaillet, Olivier, 1999. "Bartlett Identities Tests," LIDAM Discussion Papers IRES 1999019, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    13. J.L. Prigent & O. Renault & O. Scaillet., 1999. "Option pricing with discrete rebalancing," THEMA Working Papers 99-41, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    14. Cordeiro, Gauss M. & Colosimo, Enrico A., 1999. "Corrected score tests for exponential censored data," Statistics & Probability Letters, Elsevier, vol. 44(4), pages 365-373, October.
    15. Prokhorov, Artem, 2008. "A goodness-of-fit test for copulas," MPRA Paper 9998, University Library of Munich, Germany.
    16. Yamagata. T., 2005. "On Testing Sample Selection Bias under the Multicollinearity Problem," Cambridge Working Papers in Economics 0522, Faculty of Economics, University of Cambridge.
    17. Francisco Cribari-Neto, 1996. "On the Corrections to Information Matrix Tests," Econometrics 9601001, University Library of Munich, Germany.
    18. George Neumann, 1996. "Search Models and Duration Data," Econometrics 9602008, University Library of Munich, Germany, revised 07 Mar 1996.
    19. Joachim Zietz, 2005. "Detecting Neglected Parameter Heterogeneity with Chow Tests," Working Papers 200503, Middle Tennessee State University, Department of Economics and Finance.
    20. Li, Yong & Yu, Jun & Zeng, Tao, 2018. "Specification tests based on MCMC output," Journal of Econometrics, Elsevier, vol. 207(1), pages 237-260.
    21. Riccardo Lucchetti & Claudia Pigini, 2013. "A test for bivariate normality with applications in microeconometric models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 535-572, November.
    22. Bera, Anil K. & Kim, Sangwhan, 2002. "Testing constancy of correlation and other specifications of the BGARCH model with an application to international equity returns," Journal of Empirical Finance, Elsevier, vol. 9(2), pages 171-195, March.
    23. Orme, Chris, 1995. "Simulated conditional moment tests," Economics Letters, Elsevier, vol. 49(3), pages 239-245, September.
    24. Russell Davidson & James G. MacKinnon, 1994. "Graphical Methods for Investigating the Size and Power of Hypothesis Tests," Working Paper 903, Economics Department, Queen's University.
    25. James E. Prieger, 2003. "Conditional Moment Tests for Parametric Duration Models," Working Papers 246, University of California, Davis, Department of Economics.
    26. Samarjit Das & Nityananda Sarkar, 2010. "Is the relative risk aversion parameter constant over time? A multi-country study," Empirical Economics, Springer, vol. 38(3), pages 605-617, June.
    27. Maxwell King & Xibin Zhang & Muhammad Akram, 2019. "Hypothesis Testing Based on a Vector of Statistics," Monash Econometrics and Business Statistics Working Papers 30/19, Monash University, Department of Econometrics and Business Statistics.
    28. George R. Neumann, 1995. "Search Models and Duration Data," Labor and Demography 9511001, University Library of Munich, Germany.
    29. Geert Dhaene & Dirk Hoorelbeke, 2002. "The Information Matrix Test with Bootstrap-Based Covariance Matrix Estimation," Working Papers of Department of Economics, Leuven ces0211, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    30. K. Chua & S. Ong, 2013. "Test of misspecification with application to negative binomial distribution," Computational Statistics, Springer, vol. 28(3), pages 993-1009, June.
    31. Horowitz, Joel L. & Savin, N. E., 2000. "Empirically relevant critical values for hypothesis tests: A bootstrap approach," Journal of Econometrics, Elsevier, vol. 95(2), pages 375-389, April.
    32. Wasel Shadat & Chris Orme, 2011. "An investigation of parametric tests of CCC assumption," Economics Discussion Paper Series 1109, Economics, The University of Manchester.
    33. Teodosio Pérez Amaral, 1994. "Contrastes de momentos y de la matriz de información," Documentos de Trabajo del ICAE 9401, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    34. Richard Spady & Sami Stouli, 2020. "Gaussian Transforms Modeling and the Estimation of Distributional Regression Functions," Papers 2011.06416, arXiv.org.
    35. Skeels, Christopher L. & Vella, Francis, 1999. "A Monte Carlo investigation of the sampling behavior of conditional moment tests in Tobit and Probit models," Journal of Econometrics, Elsevier, vol. 92(2), pages 275-294, October.
    36. Jin Seo Cho & Peter C.B. Phillips, "undated". "Testing Equality of Covariance Matrices via Pythagorean Means," Cowles Foundation Discussion Papers 1970, Cowles Foundation for Research in Economics, Yale University.

  28. Chesher, Andrew & Austin, Gerard, 1991. "The finite-sample distributions of heteroskedasticity robust Wald statistics," Journal of Econometrics, Elsevier, vol. 47(1), pages 153-173, January.

    Cited by:

    1. Jonah B. Gelbach & Doug Miller & A. Colin Cameron, 2006. "Bootstrap-Based Improvements for Inference with Clustered Errors," Working Papers 128, University of California, Davis, Department of Economics.
    2. Guido W. Imbens & Michal Kolesar, 2012. "Robust Standard Errors in Small Samples: Some Practical Advice," NBER Working Papers 18478, National Bureau of Economic Research, Inc.
    3. James G. MacKinnon, 2012. "Thirty Years Of Heteroskedasticity-robust Inference," Working Paper 1268, Economics Department, Queen's University.
    4. Godfrey, Leslie G., 1996. "Some results on the Glejser and Koenker tests for heteroskedasticity," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 275-299.
    5. Antoine, Bertille & Lavergne, Pascal, 2023. "Identification-robust nonparametric inference in a linear IV model," Journal of Econometrics, Elsevier, vol. 235(1), pages 1-24.
    6. Richard Spady & Sami Stouli, 2018. "Simultaneous mean-variance regression," CeMMAP working papers CWP25/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    8. Joseph P. Romano & Michael Wolf, 2014. "Resurrecting weighted least squares," ECON - Working Papers 172, Department of Economics - University of Zurich, revised Oct 2016.
    9. Jens Krueger & Uwe Cantner & Horst Hanusch, 1998. "Explaining International Productivity Differences," Discussion Paper Series 179, Universitaet Augsburg, Institute for Economics.
    10. Psaradakis, Zacharias & Sola, Martin, 1996. "On the power of tests for superexogeneity and structural invariance," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 151-175.
    11. Benedikt M. Potscher & David Preinerstorfer, 2021. "Valid Heteroskedasticity Robust Testing," Papers 2104.12597, arXiv.org, revised Jul 2023.
    12. Benedikt M. Potscher & David Preinerstorfer, 2020. "How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?," Papers 2005.04089, arXiv.org, revised Nov 2021.
    13. J. Scott Long & Pravin K. Trivedi, 1992. "Some Specification Tests for the Linear Regression Model," Sociological Methods & Research, , vol. 21(2), pages 161-204, November.
    14. Krüger Jens J. & Cantner Uwe & Hanusch Horst, 2003. "Explaining International Productivity Differences / Erklärung internationaler Produktivitätsunterschiede," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(6), pages 659-679, December.
    15. Michael O'Hara & Christopher F. Parmeter, 2013. "Nonparametric Generalized Least Squares in Applied Regression Analysis," Pacific Economic Review, Wiley Blackwell, vol. 18(4), pages 456-474, October.
    16. Lavergne, Pascal & Bertail, Patrice, 2020. "Bootstrapping Quasi Likelihood Ratio Tests under Misspecification," TSE Working Papers 20-1102, Toulouse School of Economics (TSE).
    17. Michael P. Fay & Barry I. Graubard, 2001. "Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators," Biometrics, The International Biometric Society, vol. 57(4), pages 1198-1206, December.
    18. Lamarche, Jean-Francois, 2003. "A robust bootstrap test under heteroskedasticity," Economics Letters, Elsevier, vol. 79(3), pages 353-359, June.
    19. Ng Cheuk Fai, 2022. "Robust Inference in High Dimensional Linear Model with Cluster Dependence," Papers 2212.05554, arXiv.org.
    20. Uchôa, Carlos F.A. & Cribari-Neto, Francisco & Menezes, Tatiane A., 2014. "Testing inference in heteroskedastic fixed effects models," European Journal of Operational Research, Elsevier, vol. 235(3), pages 660-670.
    21. Eric S. Lin & Ta-Sheng Chou, 2018. "Finite-sample refinement of GMM approach to nonlinear models under heteroskedasticity of unknown form," Econometric Reviews, Taylor & Francis Journals, vol. 37(1), pages 1-28, January.
    22. Luke Hartigan, 2016. "Alternative HAC Covariance Matrix Estimators with Improved Finite Sample Properties," Discussion Papers 2016-06, School of Economics, The University of New South Wales.
    23. Jianghao Chu & Tae-Hwy Lee & Aman Ullah & Haifeng Xu, 2020. "Exact Distribution of the F-statistic under Heteroskedasticity of Unknown Form for Improved Inference," Working Papers 202027, University of California at Riverside, Department of Economics.
    24. Girma Kassie & Awudu Abdulai & Clemens Wollny, 2011. "Heteroscedastic hedonic price model for cattle in the rural markets of central Ethiopia," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3459-3464.

  29. Chesher, Andrew, 1989. "Hajek Inequalities, Measures of Leverage and the Size of Heteroskedasticity Robust Wald Tests," Econometrica, Econometric Society, vol. 57(4), pages 971-977, July.

    Cited by:

    1. Fiorentini,G. & Calzolari,G. & Panattoni,L., 1995. "Analytic Derivatives and the Computation of Garch Estimates," Papers 9519, Centro de Estudios Monetarios Y Financieros-.
    2. Antoine, Bertille & Lavergne, Pascal, 2023. "Identification-robust nonparametric inference in a linear IV model," Journal of Econometrics, Elsevier, vol. 235(1), pages 1-24.
    3. Richard Spady & Sami Stouli, 2018. "Simultaneous mean-variance regression," CeMMAP working papers CWP25/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Cattaneo, Matias D & Jansson, Michael & Newey, Whitney K, 2018. "Inference in Linear Regression Models with Many Covariates and Heteroscedasticity," Department of Economics, Working Paper Series qt6rp7p9gs, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    5. Psaradakis, Zacharias & Sola, Martin, 1996. "On the power of tests for superexogeneity and structural invariance," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 151-175.
    6. Benedikt M. Potscher & David Preinerstorfer, 2021. "Valid Heteroskedasticity Robust Testing," Papers 2104.12597, arXiv.org, revised Jul 2023.
    7. Andrea Monticini & David Peel, 2009. "Testing for central bank independence and inflation using the wild bootstrap," Economics Bulletin, AccessEcon, vol. 29(3), pages 1602-1607.
    8. Zan Zhang & Guofang Nan & Yong Tan, 2020. "Cloud Services vs. On-Premises Software: Competition Under Security Risk and Product Customization," Information Systems Research, INFORMS, vol. 31(3), pages 848-864, September.
    9. 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.
    10. Benedikt M. Potscher & David Preinerstorfer, 2020. "How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?," Papers 2005.04089, arXiv.org, revised Nov 2021.
    11. Michael O'Hara & Christopher F. Parmeter, 2013. "Nonparametric Generalized Least Squares in Applied Regression Analysis," Pacific Economic Review, Wiley Blackwell, vol. 18(4), pages 456-474, October.
    12. Eric S. Lin & Ta-Sheng Chou, 2018. "Finite-sample refinement of GMM approach to nonlinear models under heteroskedasticity of unknown form," Econometric Reviews, Taylor & Francis Journals, vol. 37(1), pages 1-28, January.
    13. Oliver Linton, 1997. "Second Order Approximation in a Linear Regression with Heteroskedasticity for Unknown Form," Cowles Foundation Discussion Papers 1151, Cowles Foundation for Research in Economics, Yale University.
    14. Calzolari, Giorgio & Fiorentini, Gabriele & Panattoni, Lorenzo, 1993. "Alternative estimators of the covariance matrix in GARCH models," MPRA Paper 24433, University Library of Munich, Germany.
    15. Fabiana Gomez & David Pacini, 2022. "Spillover Effects in Empirical Corporate Finance: Choosing the Proxy for the Treatment Intensity," Bristol Economics Discussion Papers 22/766, School of Economics, University of Bristol, UK.

  30. Chesher, Andrew & Irish, Margaret, 1987. "Residual analysis in the grouped and censored normal linear model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 33-61.

    Cited by:

    1. Honore, Bo E. & Kyriazidou, Ekaterini & Udry, Christopher, 1997. "Estimation of Type 3 Tobit models using symmetric trimming and pairwise comparisons," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 107-128.
    2. Damien Eldridge & Catagay Koc & Ilke Onur & Malathi Velamuri, 2011. "The Impact of Private Hospital Insurance on Utilization of Hospital Care in Australia: Evidence from the National Health Survey," Working Papers 2011.01, School of Economics, La Trobe University, revised Jan 2011.
    3. Astrid Grasdal, 2001. "The performance of sample selection estimators to control for attrition bias," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 385-398, July.
    4. Bellemare, C. & Melenberg, B. & van Soest, A.H.O., 2002. "Semi-parametric Models for Satisfaction with Income," Discussion Paper 2002-87, Tilburg University, Center for Economic Research.
    5. Schunk, Daniel, 2007. "What Determines the Saving Behavior of German Households? An Examination of Saving Motives and Saving Decisions," Sonderforschungsbereich 504 Publications 07-10, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    6. Andrés Langebaek R. & Diego Vásquez E., 2007. "Determinantes de la actividad innovadora en la industria manufacturera colombiana," Borradores de Economia 2313, Banco de la Republica.
    7. Erasmus Kersting & Christopher Kilby, 2013. "Aid and Democracy Redux," Villanova School of Business Department of Economics and Statistics Working Paper Series 23, Villanova School of Business Department of Economics and Statistics.
    8. Veugelers, Reinhilde & Cassiman, Bruno, 2002. "Complementarity in the Innovation Strategy: Internal R&D, External Technology Acquisition and Cooperation," CEPR Discussion Papers 3284, C.E.P.R. Discussion Papers.
    9. Charlier, Erwin & Melenberg, Bertrand & van Soest, Arthur, 2000. "Estimation of a censored regression panel data model using conditional moment restrictions efficiently," Journal of Econometrics, Elsevier, vol. 95(1), pages 25-56, March.
    10. Raffaella Calabrese & Johan A. Elkink, 2012. "Estimators of Binary Spatial Autoregressive Models: A Monte Carlo Study," Working Papers 201215, Geary Institute, University College Dublin.
    11. Ismael Arciniegas Rueda, 2012. "Empirical Analysis Of Speculative Attacks With Contractionary Real Effects," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(2), pages 102-127, April.
    12. Julie Litchfield & Barry Reilly & Mario Veneziani, 2010. "An Analysis of Life Satisfaction in Albania: An Heteroscedastic Ordered Probit Model Approach," Working Paper Series 0310, Department of Economics, University of Sussex Business School.
    13. World Bank, 2002. "Colombia : Poverty Report, Volume 1. Main Report," World Bank Publications - Reports 15294, The World Bank Group.
    14. Pigini Claudia, 2015. "Bivariate Non-Normality in the Sample Selection Model," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-22, January.
    15. Melenberg, B. & Van Soest, A., 1993. "Semi-Parametric Estimation on the Sample Selection Model," Papers 9334, Tilburg - Center for Economic Research.
    16. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    17. James Mitchell & Richard J. Smith & Martin R. Weale, 2013. "Efficient Aggregation Of Panel Qualitative Survey Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 580-603, June.
    18. Raffaella Calabrese & Johan A. Elkink & Paolo Giudici, 2014. "Measuring Bank Contagion in Europe Using Binary Spatial Regression Models," DEM Working Papers Series 096, University of Pavia, Department of Economics and Management.
    19. König, Heinz & Lechner, Michael, 1994. "Some recent developments in microeconometrics: A survey," ZEW Discussion Papers 94-12, ZEW - Leibniz Centre for European Economic Research.
    20. Cheti Nicoletti, 2010. "Poverty analysis with missing data: alternative estimators compared," Empirical Economics, Springer, vol. 38(1), pages 1-22, February.
    21. Melenberg, Bertrand & van Soest, Arthur, 1996. "Parametric and Semi-parametric Modelling of Vacation Expenditures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 59-76, Jan.-Feb..
    22. Broseta, Bruno, 2000. "Adaptive Learning and Equilibrium Selection in Experimental Coordination Games: An ARCH(1) Approach," Games and Economic Behavior, Elsevier, vol. 32(1), pages 25-50, July.
    23. Ulrich Kaiser, 2001. "The Impact of Foreign Competition and New Technologies on the Demand for Heterogeneous Labor," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 19(1), pages 109-120, August.
    24. Marco Angrisani & Arie Kapteyn & Scott Schuh, 2012. "Measuring household spending and payment habits: the role of “typical” and “specific” time frames in survey questions," Working Papers 12-7, Federal Reserve Bank of Boston.
    25. Tedds, Lindsay, 2007. "Keeping it off the Books: An Empirical Investigation of Firms that Engage in Tax Evasion," MPRA Paper 4213, University Library of Munich, Germany.
    26. Wiji Arulampalam & Alison L. Booth, 2000. "Union status of young men in Britain: a decade of change," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(3), pages 289-310.
    27. Tsegay Gebrekidan Tekleselassie, 2017. "Subjective Wellbeing and Institutions: The Case of Rural Ethiopia," Working Papers 016, Policy Studies Institute.
    28. Nicolas Moreau & Olivier Donni, 2007. "Collective Labor Supply: a Single-Equation Model and Some Evidence from French Data," Post-Print hal-01691917, HAL.
    29. Peeters, H.M.M., 1989. "Het gebruik van een parametrische en een semi-parametrische schattingsmethode voor het binaire keuzemodel: Probit Maximum Likelihood versus Maximum Score [The use of a parametric and a semi-paramet," MPRA Paper 28104, University Library of Munich, Germany.
    30. Charlier, E. & Melenberg, B. & van Soest, A.H.O., 1997. "An Analysis of Housing Expenditure Using Semiparametric Models and Panel Data," Discussion Paper 1997-14, Tilburg University, Center for Economic Research.
    31. Georges Dionne & Pierre-Carl Michaud & Maki Dahchour, 2004. "Separating Moral Hazard from Adverse Selection in Automobile Insurance: Longitudinal Evidence from France," Cahiers de recherche 0420, CIRPEE.
    32. Francisco J. Gil & Maria Jesus Martin & Angel Serrat, 1994. "Movilidad en el mercado de trabajo en España: un análisis econométrico de duración con riesgos en competencia," Investigaciones Economicas, Fundación SEPI, vol. 18(3), pages 517-537, September.
    33. Hendriks, Guus, 2020. "How the spatial dispersion and size of country networks shape the geographic distance that firms add during international expansion," International Business Review, Elsevier, vol. 29(6).
    34. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    35. Cam Donaldson & Andrew Jones & Tracy Mapp & Jan Abel Olson, 1998. "Limited dependent variables in willingness to pay studies: applications in health care," Applied Economics, Taylor & Francis Journals, vol. 30(5), pages 667-677.
    36. Ray Barrell, 1999. "Employment Security and European Labour Demand: A Panel Study Across 16 Industries," National Institute of Economic and Social Research (NIESR) Discussion Papers 148, National Institute of Economic and Social Research.
    37. Riccardo LUCCHETTI & Claudia PIGINI, 2011. "Conditional Moment Tests for Normality in Bivariate Limited Dependent Variable Models: a Monte Carlo Study," Working Papers 357, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    38. Wang, Xiaobing, 2007. "Labor market behavior of Chinese rural households during transition," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 42, number 92321.
    39. José M. Labeaga & Xisco Oliver & Amedeo Spadaro, "undated". "Measuring Changes in Health Capital," Working Papers 2005-15, FEDEA.
    40. Pinkse, Joris & Slade, Margaret E., 1998. "Contracting in space: An application of spatial statistics to discrete-choice models," Journal of Econometrics, Elsevier, vol. 85(1), pages 125-154, July.
    41. Francesconi, Marco & Nicoletti, Cheti, 2004. "Intergenerational mobility and sample selection in short panels," ISER Working Paper Series 2004-17, Institute for Social and Economic Research.
    42. Giovanni Maggi & Pinelopi Koujianou Goldberg, 1999. "Protection for Sale: An Empirical Investigation," American Economic Review, American Economic Association, vol. 89(5), pages 1135-1155, December.
    43. Amina Ika Micah, 2022. "Three essays on access to credit and financial shock in Nigeria," Economics PhD Theses 0422, Department of Economics, University of Sussex Business School.
    44. Al-Samarrai, Samer & Reilly, Barry, 2006. "Education, Employment and Earnings of Secondary School and University Leavers in Tanzania: Evidence from a Tracer Study," MPRA Paper 129, University Library of Munich, Germany.
    45. Kaiser, Ulrich & Szczesny, Andrea, 2000. "Einfache ökonometrische Verfahren für die Kreditrisikomessung," CoFE Discussion Papers 00/28, University of Konstanz, Center of Finance and Econometrics (CoFE).
    46. William Greene, 2007. "Discrete Choice Modeling," Working Papers 07-6, New York University, Leonard N. Stern School of Business, Department of Economics.
    47. Ulrich Kaiser & Andrea Szczesny, 2003. "Ökonometrische Verfahren zur Modellierung von Kreditausfallwahrscheinlichkeiten: Logit- und Probit-Modelle," Schmalenbach Journal of Business Research, Springer, vol. 55(8), pages 790-822, December.
    48. Riccardo Lucchetti & Claudia Pigini, 2013. "A test for bivariate normality with applications in microeconometric models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 535-572, November.
    49. Ashworth, John & Heyndels, Bruno & Smolders, Carine, 2003. "Psychological taxing in Flemish municipalities," Journal of Economic Psychology, Elsevier, vol. 24(6), pages 741-762, December.
    50. Barry Reilly & Ray Bachan, 2005. "A comparison of A-level performance in economics and business studies: How much more difficult is economics?," Education Economics, Taylor & Francis Journals, vol. 13(1), pages 85-108.
    51. Darryl Holden, 2011. "Testing for heteroskedasticity in the tobit and probit models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(4), pages 735-744, November.
    52. Souha El Khanji, 2022. "Donors’ Interest in Water and Sanitation Subsectors," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(2), pages 611-654, April.
    53. Claudia PIGINI, 2012. "Of Butterflies and Caterpillars: Bivariate Normality in the Sample Selection Model," Working Papers 377, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    54. Emma García & José M. Labeaga & Ana Carolina Ortega Masagué, 2006. "Maternal Employment and Childhood Obesity in Spain," Working Papers 2006-17, FEDEA.
    55. Martín Almuzara & Dante Amengual & Enrique Sentana, 2019. "Normality tests for latent variables," Quantitative Economics, Econometric Society, vol. 10(3), pages 981-1017, July.
    56. Seung-Hoon Yoo, 2003. "A robust approach to dealing with zero expenditures on mobile communications," Applied Economics Letters, Taylor & Francis Journals, vol. 10(12), pages 757-760.
    57. Jose Maria Labeaga & Ester Martinez-Ros, 1994. "Estimación de un modelo de ecuaciones simultáneas con variables dependientes limitadas: una aplicación con datos de la industria española," Investigaciones Economicas, Fundación SEPI, vol. 18(3), pages 465-489, September.
    58. Daniel Grodzicki & Alexei Alexandrov & Özlem Bedre-Defolie & Sergei Koulayev, 2023. "Consumer Demand for Credit Card Services," Journal of Financial Services Research, Springer;Western Finance Association, vol. 63(3), pages 273-311, June.
    59. Giulia BETTIN & Riccardo LUCCHETTI, 2010. "Interval Regression Models with;Endogenous Explanatory Variables," Working Papers 339, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    60. Blundell, Richard & Laisney, Francois & Lechner, Michael, 1993. "Alternative Interpretations of Hours Information in an Econometric Model of Labour Supply," Empirical Economics, Springer, vol. 18(3), pages 393-415.
    61. Arthur van Soest & Hana Vonkova, 2014. "Testing the specification of parametric models by using anchoring vignettes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(1), pages 115-133, January.
    62. Mark Ottoni Wilhelm, 2008. "Practical Considerations for Choosing Between Tobit and SCLS or CLAD Estimators for Censored Regression Models with an Application to Charitable Giving," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 559-582, August.
    63. Kazianga, Harounan & Masters, William A., 2001. "Investing In Soils: Field Bunds And Microcatchments In Burkina Faso," 2001 Annual meeting, August 5-8, Chicago, IL 20483, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    64. Patton, Andrew J. & Timmermann, Allan, 2007. "Properties of optimal forecasts under asymmetric loss and nonlinearity," Journal of Econometrics, Elsevier, vol. 140(2), pages 884-918, October.
    65. Cristina Cattaneo, 2012. "Migrants’ international transfers and educational expenditure," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 20(1), pages 163-193, January.
    66. Hsiao, Cheng & Pesaran, M. Hashem & Pick, Andreas, 2007. "Diagnostic Tests of Cross Section Independence for Nonlinear Panel Data Models," IZA Discussion Papers 2756, Institute of Labor Economics (IZA).
    67. Deza, Monica, 2015. "Is there a stepping stone effect in drug use? Separating state dependence from unobserved heterogeneity within and between illicit drugs," Journal of Econometrics, Elsevier, vol. 184(1), pages 193-207.
    68. Sirchenko, Andrei, 2010. "Policymakers' Votes and Predictability of Monetary Policy," University of California at San Diego, Economics Working Paper Series qt8qj3z3qg, Department of Economics, UC San Diego.
    69. Stewart, Mark B., 2009. "The estimation of pensioner equivalence scales using subjective data," The Warwick Economics Research Paper Series (TWERPS) 893, University of Warwick, Department of Economics.
    70. Ana Fernandez & Juan Rodriquez-Poo, 1997. "Estimation and specification testing in female labor participation models: parametric and semiparametric methods," Econometric Reviews, Taylor & Francis Journals, vol. 16(2), pages 229-247.
    71. D. Fabbri & C. Monfardini & R. Radice, 2004. "Testing exogeneity in the bivariate probit model: Monte Carlo evidence and an application to health economics," Working Papers 514, Dipartimento Scienze Economiche, Universita' di Bologna.
    72. Anderson, Michael H. & Jaggia, Sanjiv, 2009. "Rent-to-own agreements: Customer characteristics and contract outcomes," Journal of Economics and Business, Elsevier, vol. 61(1), pages 51-69.
    73. Andreas P. Georgiadis, 2006. "Is there a Wage-Supervision Trade-Off? Efficiency Wages Evidence From the 1990 British Workplace Industrial Relations Survey," The Centre for Market and Public Organisation 06/152, The Centre for Market and Public Organisation, University of Bristol, UK.
    74. Piras, Gianfranco & Sarrias, Mauricio, 2023. "One or two-step? Evaluating GMM efficiency for spatial binary probit models," Journal of choice modelling, Elsevier, vol. 48(C).
    75. Lehmann, Hansjorg & Zweifel, Peter, 2004. "Innovation and risk selection in deregulated social health insurance," Journal of Health Economics, Elsevier, vol. 23(5), pages 997-1012, September.
    76. Riccardo Cimini & Alessandro Gaetano & Alessandra Pagani, 2014. "The relation between R&D accounting treatment and the risk of the firm: Evidence from the Italian market," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2014(1), pages 33-54.
    77. Hanemann, W. Michael & Kanninen, Barbara, 1996. "The Statistical Analysis Of Discrete-Response Cv Data," CUDARE Working Papers 25022, University of California, Berkeley, Department of Agricultural and Resource Economics.
    78. Bertrand Melenberg & Arthur van Soest & Erwin Charlier, 2000. "An analysis of housing expenditure using semiparametric cross-section models," Empirical Economics, Springer, vol. 25(3), pages 437-462.
    79. Ashworth, John & Geys, Benny & Heyndels, Bruno, 2006. "Determinants of tax innovation: The case of environmental taxes in Flemish municipalities," European Journal of Political Economy, Elsevier, vol. 22(1), pages 223-247, March.
    80. Lindsay M. Tedds, 2005. "Keeping It Off The Books: An Empirical Investigation Into the Characteristics of Firms That Engage In Tax Non-Compliance," Department of Economics Working Papers 2005-01, McMaster University.
    81. Ray Bachan & Barry Reilly & Robert Witt, 2014. "Team performance and race: evidence from the English and French national soccer teams," Applied Economics, Taylor & Francis Journals, vol. 46(13), pages 1535-1546, May.
    82. Charles Bellemare & Bertrand Melenberg & Arthur van Soest van Soest, 2002. "Semi-parametric models for satisfaction with income," CeMMAP working papers 12/02, Institute for Fiscal Studies.
    83. Tekleselassie, Tsegay Gebrekidan, 2016. "Three essays on the impact of institutions and policies on socio-economic outcomes," Economics PhD Theses 1316, Department of Economics, University of Sussex Business School.
    84. Blanco-Fernández, Angela & Corral, Norberto & González-Rodríguez, Gil, 2011. "Estimation of a flexible simple linear model for interval data based on set arithmetic," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2568-2578, September.
    85. Basani, Marcello & Isham, Jonathan & Reilly, Barry, 2008. "The Determinants of Water Connection and Water Consumption: Empirical Evidence from a Cambodian Household Survey," World Development, Elsevier, vol. 36(5), pages 953-968, May.
    86. Christophe Kolodziejczyk, 2005. "Wives’ Labor Supply and Taxation: a Conditional Preferences Approach," CAM Working Papers 2005-02, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    87. Fabrice Collard & Omar Licandro & Luis A. Puch, 2006. "Time-to-Build Echoes," Working Papers 2006-16, FEDEA.
    88. Bedre Defolie, Özlem & Alexandrov, Alexei & Grodzicki, Daniel, 2017. "Consumer Demand for Credit Card Services," CEPR Discussion Papers 12506, C.E.P.R. Discussion Papers.
    89. Omar Paccagnella & Vincenzo Rebba & Guglielmo Weber, 2013. "VOLUNTARY PRIVATE HEALTH INSURANCE AMONG THE OVER 50s IN EUROPE," Health Economics, John Wiley & Sons, Ltd., vol. 22(3), pages 289-315, March.
    90. Storm, Hugo & Heckelei, Thomas & Heidecke, Claudia, 2010. "Demand Estimation for Irrigation Water in the Moroccan Drâa Valley using Contingent Valuation," Discussion Papers 162895, University of Bonn, Institute for Food and Resource Economics.
    91. Nicoletti, Cheti, 2008. "Multiple sample selection in the estimation of intergenerational occupational mobility," ISER Working Paper Series 2008-20, Institute for Social and Economic Research.
    92. Yoo, Seung-Hoon & Kim, Tai-Yoo & Lee, Jai-Ki, 2001. "Modeling zero response data from willingness to pay surveys: A semi-parametric estimation," Economics Letters, Elsevier, vol. 71(2), pages 191-196, May.
    93. Kuikeu, Oscar, 2022. "Les enjeux d’une zone économique spéciale pour l’industrialisation de la filière bois au Cameroun [Strategy of industrialization giving by an special economic area : the case of the timber sector i," MPRA Paper 112494, University Library of Munich, Germany.
    94. Patton, Andrew J. & Timmermann, Allan, 2005. "Testable implications of forecast optimality," LSE Research Online Documents on Economics 6834, London School of Economics and Political Science, LSE Library.
    95. Ewert, Ralf & Szczesny, Andrea, 2001. "Countdown for the New Basle Capital Accord: Are German banks ready for the internal ratings-based approach?," CFS Working Paper Series 2001/05, Center for Financial Studies (CFS).
    96. Skeels, Christopher L. & Vella, Francis, 1999. "A Monte Carlo investigation of the sampling behavior of conditional moment tests in Tobit and Probit models," Journal of Econometrics, Elsevier, vol. 92(2), pages 275-294, October.
    97. Andra Ghent & Rossen Valkanov, 2016. "Comparing Securitized and Balance Sheet Loans: Size Matters," Management Science, INFORMS, vol. 62(10), pages 2784-2803, October.
    98. Eric W. Schultheis, 2014. "The Social, Geographic, and Organizational Determinants of Access to Civil Legal Aid Services: An Argument for an Integrated Access to Justice Model," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 11(3), pages 541-577, September.
    99. Kaiser, Ulrich, 2002. "An empirical test of models explaining research expenditures and research cooperation: evidence for the German service sector," International Journal of Industrial Organization, Elsevier, vol. 20(6), pages 747-774, June.
    100. Kaiser, Ulrich & Spitz, Alexandra, 2000. "Quantification of qualitative data using ordered probit models with an application to a business survey in the German service sector," ZEW Discussion Papers 00-58, ZEW - Leibniz Centre for European Economic Research.

  31. Chesher, Andrew & Jewitt, Ian, 1987. "The Bias of a Heteroskedasticity Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 55(5), pages 1217-1222, September.

    Cited by:

    1. MacKinnon, J G, 1989. "Heteroskedasticity-Robust Tests for Structural Change," Empirical Economics, Springer, vol. 14(2), pages 77-92.
    2. Kilian, Lutz & Gonçalves, Sílvia, 2002. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," Discussion Paper Series 1: Economic Studies 2002,26, Deutsche Bundesbank.
    3. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2003. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," American Economic Review, American Economic Association, vol. 93(1), pages 38-62, March.
    4. Joshua D. Angrist & Victor Lavy, 2002. "The Effect of High School Matriculation Awards: Evidence from Randomized Trials," NBER Working Papers 9389, National Bureau of Economic Research, Inc.
    5. Patrick Richard, 2014. "Bootstrap tests in linear models with many regressors," Cahiers de recherche 14-06, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    6. Davidson, Russell & Flachaire, Emmanuel, 2008. "The wild bootstrap, tamed at last," Journal of Econometrics, Elsevier, vol. 146(1), pages 162-169, September.
    7. James G. MacKinnon, 2012. "Thirty Years Of Heteroskedasticity-robust Inference," Working Paper 1268, Economics Department, Queen's University.
    8. Antoine, Bertille & Lavergne, Pascal, 2023. "Identification-robust nonparametric inference in a linear IV model," Journal of Econometrics, Elsevier, vol. 235(1), pages 1-24.
    9. Richard Spady & Sami Stouli, 2018. "Simultaneous mean-variance regression," CeMMAP working papers CWP25/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    11. Joel L. Horowitz, 1996. "Bootstrap Methods in Econometrics: Theory and Numerical Performance," Econometrics 9602009, University Library of Munich, Germany, revised 05 Mar 1996.
    12. Patrick M. Kline & Andres Santos, 2011. "Higher Order Properties of the Wild Bootstrap Under Misspecification," NBER Working Papers 16793, National Bureau of Economic Research, Inc.
    13. Emmanuel Flachaire, 2005. "More efficient tests robust to heteroskedasticity of unknown form," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00175914, HAL.
    14. Joseph P. Romano & Michael Wolf, 2014. "Resurrecting weighted least squares," ECON - Working Papers 172, Department of Economics - University of Zurich, revised Oct 2016.
    15. Clatworthy, Mark A. & Peel, David A. & Pope, Peter F., 2007. "Evaluating the properties of analysts’ forecasts: A bootstrap approach," The British Accounting Review, Elsevier, vol. 39(1), pages 3-13.
    16. Francisco Cribari-Neto & Maria Lima, 2010. "Sequences of bias-adjusted covariance matrix estimators under heteroskedasticity of unknown form," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(6), pages 1053-1082, December.
    17. Oliver Linton, 1993. "Second Order Approximation in the Partially Linear Regression Model," Cowles Foundation Discussion Papers 1065, Cowles Foundation for Research in Economics, Yale University.
    18. Russell, Clifford S. & Smith, V. Kerry, 1988. "Demands For Data And Analysis Induced By Environmental Policy," Department of Economics and Business - Archive 259436, North Carolina State University, Department of Economics.
    19. Emmanuel Flachaire, 2002. "Bootstrapping heteroskedasticity consistent covariance matrix estimator," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00175897, HAL.
    20. Richard C. Levin & Peter C. Reiss, 1989. "Cost-Reducing and Demand-Creating R&D With Spillovers," NBER Working Papers 2876, National Bureau of Economic Research, Inc.
    21. Cattaneo, Matias D & Jansson, Michael & Newey, Whitney K, 2018. "Inference in Linear Regression Models with Many Covariates and Heteroscedasticity," Department of Economics, Working Paper Series qt6rp7p9gs, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    22. Kangasharju, Aki & Sarvimäki, Matti, 2010. "Self-reinforcing shocks: evidence from a resettlement policy," LSE Research Online Documents on Economics 33512, London School of Economics and Political Science, LSE Library.
    23. Mary E. Barth & Greg Clinch, 2009. "Scale Effects in Capital Markets‐Based Accounting Research," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(3‐4), pages 253-288, April.
    24. Emmanuel Flachaire, 2005. "Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap," Post-Print halshs-00175910, HAL.
    25. Benedikt M. Potscher & David Preinerstorfer, 2021. "Valid Heteroskedasticity Robust Testing," Papers 2104.12597, arXiv.org, revised Jul 2023.
    26. José Curto & José Pinto & Ana Morais & Isabel Lourenço, 2011. "The heteroskedasticity-consistent covariance estimator in accounting," Review of Quantitative Finance and Accounting, Springer, vol. 37(4), pages 427-449, November.
    27. Cribari-Neto, Francisco, 2004. "Asymptotic inference under heteroskedasticity of unknown form," Computational Statistics & Data Analysis, Elsevier, vol. 45(2), pages 215-233, March.
    28. José Murteira & Esmeralda Ramalho & Joaquim Ramalho, 2013. "Heteroskedasticity testing through a comparison of Wald statistics," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 12(2), pages 131-160, August.
    29. Andrea Monticini & David Peel, 2009. "Testing for central bank independence and inflation using the wild bootstrap," Economics Bulletin, AccessEcon, vol. 29(3), pages 1602-1607.
    30. Torben Klarl, 2014. "Is Spatial Bootstrapping A Panacea For Valid Inference?," Journal of Regional Science, Wiley Blackwell, vol. 54(2), pages 304-312, March.
    31. Emmanuel Flachaire, 2005. "Propriétés en échantillon fini des tests robustes à l'hétéroscédasticité de forme inconnue," Annals of Economics and Statistics, GENES, issue 77, pages 187-199.
    32. Brown, Bryan W. & Walker, Mary Beth, 1995. "Stochastic specification in random production models of cost-minimizing firms," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 175-205.
    33. Fernández-Val, Iván & Vella, Francis, 2011. "Bias corrections for two-step fixed effects panel data estimators," Journal of Econometrics, Elsevier, vol. 163(2), pages 144-162, August.
    34. Matias Cattaneo & Michael Jansson & Whitney K. Newey, 2015. "Alternative asymptotics and the partially linear model with many regressors," CeMMAP working papers 36/15, Institute for Fiscal Studies.
    35. Annalivia Polselli, 2023. "Robust Inference in Panel Data Models: Some Effects of Heteroskedasticity and Leveraged Data in Small Samples," Papers 2312.17676, arXiv.org.
    36. Annalivia Polselli, 2023. "Influence Analysis with Panel Data," Papers 2312.05700, arXiv.org.
    37. Sin, C.Y. (Chor-yiu) & Lee, Cheng-Few, 2021. "Using heteroscedasticity-non-consistent or heteroscedasticity-consistent variances in linear regression," Econometrics and Statistics, Elsevier, vol. 18(C), pages 117-142.
    38. Cheng, Tsung-Chi, 2012. "On simultaneously identifying outliers and heteroscedasticity without specific form," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2258-2272.
    39. Kenneth W. Clements & H.Y Izan & Yihui Lan, 2005. "A Stochastic Measure of International Competitiveness," Economics Discussion / Working Papers 05-15, The University of Western Australia, Department of Economics.
    40. Mary E. Barth & Sanjay Kallapur, 1996. "The Effects of Cross†Sectional Scale Differences on Regression Results in Empirical Accounting Research," Contemporary Accounting Research, John Wiley & Sons, vol. 13(2), pages 527-567, September.
    41. Klaus Grobys, 2015. "Size distortions of the wild bootstrapped HCCME-based LM test for serial correlation in the presence of asymmetric conditional heteroskedasticity," Empirical Economics, Springer, vol. 48(3), pages 1189-1202, May.
    42. Chronopoulos, Ilias & Kapetanios, George & Petrova, Katerina, 2021. "Kernel-based Volatility Generalised Least Squares," Econometrics and Statistics, Elsevier, vol. 20(C), pages 2-11.
    43. 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.
    44. Benedikt M. Potscher & David Preinerstorfer, 2020. "How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?," Papers 2005.04089, arXiv.org, revised Nov 2021.
    45. Ivan Fernandez-Val, 2005. "Estimation of Structural Parameters and Marginal Effects in Binary Choice Panel Data Models with Fixed Effects," Boston University - Department of Economics - Working Papers Series WP2005-38, Boston University - Department of Economics.
    46. Meredith J. Beechey & Benjamin K. Johannsen & Andrew T. Levin, 2008. "Are long-run inflation expectations anchored more firmly in the Euro area than in the United States?," Finance and Economics Discussion Series 2008-23, Board of Governors of the Federal Reserve System (U.S.).
    47. Calzolari, Giorgio & Panattoni, Lorenzo, 1987. "Finite sample performance of the robust Wald test in simultaneous equation systems," MPRA Paper 22557, University Library of Munich, Germany.
    48. Michael O'Hara & Christopher F. Parmeter, 2013. "Nonparametric Generalized Least Squares in Applied Regression Analysis," Pacific Economic Review, Wiley Blackwell, vol. 18(4), pages 456-474, October.
    49. Michael Pfaffermayr, 2020. "Constrained Poisson pseudo maximum likelihood estimation of structural gravity models," International Economics, CEPII research center, issue 161, pages 188-198.
    50. Ng Cheuk Fai, 2022. "Robust Inference in High Dimensional Linear Model with Cluster Dependence," Papers 2212.05554, arXiv.org.
    51. Joel L. Horowitz, 2018. "Bootstrap Methods in Econometrics," Papers 1809.04016, arXiv.org.
    52. Francisco Cribari-Neto & Maria da Gloria Lima, 2010. "Approximate inference in heteroskedastic regressions: A numerical evaluation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(4), pages 591-615.
    53. Angrist, Joshua & Lavy, Victor, 2004. "The Effect of High Stakes High School Achievement Awards: Evidence from a School-Centered Randomized Trial," IZA Discussion Papers 1146, Institute of Labor Economics (IZA).
    54. Jochmans, K., 2019. "Heteroskedasticity-Robust Inference in Linear Regression Models," Cambridge Working Papers in Economics 1957, Faculty of Economics, University of Cambridge.
    55. Francisco Cribari-Neto & Wilton Silva, 2011. "A new heteroskedasticity-consistent covariance matrix estimator for the linear regression model," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(2), pages 129-146, June.
    56. Eric S. Lin & Ta-Sheng Chou, 2018. "Finite-sample refinement of GMM approach to nonlinear models under heteroskedasticity of unknown form," Econometric Reviews, Taylor & Francis Journals, vol. 37(1), pages 1-28, January.
    57. Oliver Linton, 1997. "Second Order Approximation in a Linear Regression with Heteroskedasticity for Unknown Form," Cowles Foundation Discussion Papers 1151, Cowles Foundation for Research in Economics, Yale University.
    58. Jabłońska Katarzyna, 2018. "Dealing With Heteroskedasticity Within The Modeling Of The Quality Of Life Of Older People," Statistics in Transition New Series, Polish Statistical Association, vol. 19(3), pages 433-452, September.
    59. Luke Hartigan, 2016. "Alternative HAC Covariance Matrix Estimators with Improved Finite Sample Properties," Discussion Papers 2016-06, School of Economics, The University of New South Wales.
    60. Obaid Ur Rehman & Xiaoxing Liu & Abdul Rauf & Mayada Ben Slama & Waqas Amin, 2020. "Internet tradition and tourism development: A causality analysis on BRI listed economies," Tourism Economics, , vol. 26(6), pages 926-957, September.
    61. Dale Poirier, 2008. "Bayesian Interpretations of Heteroskedastic Consistent Covariance Estimators Using the Informed Bayesian Bootstrap," Working Papers 080905, University of California-Irvine, Department of Economics.
    62. Blackburn, McKinley L., 1997. "Misspecified skedastic functions in grouped-data models," Economics Letters, Elsevier, vol. 55(1), pages 1-8, August.
    63. Joel L. Horowitz, 2018. "Bootstrap methods in econometrics," CeMMAP working papers CWP53/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  32. Lee, Lung-Fei & Chesher, Andrew, 1986. "Specification testing when score test statistics are identically zero," Journal of Econometrics, Elsevier, vol. 31(2), pages 121-149, March.

    Cited by:

    1. Centorrino, Samuele & Pérez-Urdiales, María, 2023. "Maximum likelihood estimation of stochastic frontier models with endogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
    2. Manuel A. Domínguez & Ignacio N. Lobato, 2020. "Specification testing with estimated variables," Econometric Reviews, Taylor & Francis Journals, vol. 39(5), pages 476-494, May.
    3. Carrasco, Marine, 2002. "Misspecified Structural Change, Threshold, and Markov-switching models," Journal of Econometrics, Elsevier, vol. 109(2), pages 239-273, August.
    4. Dante Amengual & Xinyue Bei & Enrique Sentana, 2022. "Normal but skewed?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1295-1313, November.
    5. Gabriele Fiorentini & Enrique Sentana, 2016. "Neglected serial correlation tests in UCARIMA models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(1), pages 121-178, March.
    6. Jonathan Feinstein & Daniel McFadden, 1987. "The Dynamics of Housing Demand by the Elderly: Wealth, Cash Flow, and Demographic Effects," NBER Working Papers 2471, National Bureau of Economic Research, Inc.
    7. Charles Engel & James D. Hamilton, 1989. "Long Swings in the Exchange Rate: Are they in the Data and Do Markets Know It?," NBER Working Papers 3165, National Bureau of Economic Research, Inc.
    8. Kruiniger, Hugo, 2018. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper 110375, University Library of Munich, Germany, revised 15 Aug 2021.
    9. Dovonon, Prosper & Renault, Eric, 2011. "Testing for Common GARCH Factors," MPRA Paper 40224, University Library of Munich, Germany.
    10. Donald W.K. Andrews & Xu Cheng, 2011. "GMM Estimation and Uniform Subvector Inference with Possible Identification Failure," Cowles Foundation Discussion Papers 1828, Cowles Foundation for Research in Economics, Yale University.
    11. David Pacini, 2022. "Identification in Parametric Models: The Minimum Hellinger Distance Criterion," Econometrics, MDPI, vol. 10(1), pages 1-14, February.
    12. Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Testing the Number of Regimes in Markov Regime Switching Models," Papers 1801.06862, arXiv.org, revised Jan 2018.
    13. Sentana, Enrique & Amengual, Dante, 2015. "Is a normal copula the right copula?," CEPR Discussion Papers 10809, C.E.P.R. Discussion Papers.
    14. Dovonon, Prosper & Gonçalves, Sílvia, 2017. "Bootstrapping the GMM overidentification test under first-order underidentification," Journal of Econometrics, Elsevier, vol. 201(1), pages 43-71.
    15. Greene, William & McKenzie, Colin, 2015. "An LM test based on generalized residuals for random effects in a nonlinear model," Economics Letters, Elsevier, vol. 127(C), pages 47-50.
    16. Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
    17. Martijn van Hasselt, 2005. "Bayesian Sampling Algorithms for the Sample Selection and Two-Part Models," Computing in Economics and Finance 2005 241, Society for Computational Economics.
    18. Jean-Marie Dufour & Richard Luger, 2017. "Identification-robust moment-based tests for Markov switching in autoregressive models," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 713-727, October.
    19. Javier Mencía & Enrique Sentana, 2009. "Distributional tests in multivariate dynamic models with Normal and Student t innovations," Working Papers 0929, Banco de España.
    20. Simon van Norden & Huntley Schaller, 2002. "Fads or bubbles?," Empirical Economics, Springer, vol. 27(2), pages 335-362.
    21. David Pacini, 2022. "A Goodness-of-Identifiability Criterion for Parametric Statistical Models," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(4), pages 1-1.
    22. Hahn, Jinyong & Newey, Whitney K. & Smith, Richard J., 2014. "Neglected heterogeneity in moment condition models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 86-100.
    23. Mencia, Javier F. & Sentana, Enrique, 2004. "Estimation and testing of dynamic models with generalised hyperbolic innovations," LSE Research Online Documents on Economics 24742, London School of Economics and Political Science, LSE Library.
    24. Matteo Bottai & Nicola Orsini, 2004. "Confidence intervals for the variance component of random-effects linear models," Stata Journal, StataCorp LP, vol. 4(4), pages 429-435, December.
    25. William Greene & Colin McKenzie, 2012. "LM Tests for Random Effects," Working Papers 12-14, New York University, Leonard N. Stern School of Business, Department of Economics.
    26. Dante Amengual & Xinyue Bei & Enrique Sentana, 2023. "Highly Irregular Serial Correlation Tests," Working Papers wp2023_2302, CEMFI.
    27. Sentana, Enrique & Amengual, Dante & Bei, Xinyue, 2020. "Hypothesis tests with a repeatedly singular information matrix," CEPR Discussion Papers 14415, C.E.P.R. Discussion Papers.
    28. Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Efficiency Series Papers 2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    29. Fei Jin & Lung-fei Lee, 2018. "Lasso Maximum Likelihood Estimation of Parametric Models with Singular Information Matrices," Econometrics, MDPI, vol. 6(1), pages 1-24, February.
    30. Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2008. "Sup-tests for linearity in a general nonlinear AR(1) model when the supremum is taken over the full parameter space," MPRA Paper 16669, University Library of Munich, Germany.
    31. Jin, Fei & Lee, Lung-fei, 2018. "Irregular N2SLS and LASSO estimation of the matrix exponential spatial specification model," Journal of Econometrics, Elsevier, vol. 206(2), pages 336-358.
    32. Francq, Christian & Horvath, Lajos & Zakoïan, Jean-Michel, 2010. "Sup-Tests For Linearity In A General Nonlinear Ar(1) Model," Econometric Theory, Cambridge University Press, vol. 26(4), pages 965-993, August.
    33. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    34. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    35. Dovonon, Prosper & Hall, Alastair R. & Kleibergen, Frank, 2020. "Inference in second-order identified models," Journal of Econometrics, Elsevier, vol. 218(2), pages 346-372.

  33. Lancaster, Tony & Chesher, Andrew, 1985. "Residual analysis for censored duration data," Economics Letters, Elsevier, vol. 18(1), pages 35-38.

    Cited by:

    1. Riccardo Cimini & Alessandro Gaetano & Alessandra Pagani, 2014. "The relation between R&D accounting treatment and the risk of the firm: Evidence from the Italian market," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2014(1), pages 33-54.

  34. Chesher, Andrew, 1985. "Score tests for zero covariances in recursive linear models for grouped or censored data," Journal of Econometrics, Elsevier, vol. 28(3), pages 291-305, June.

    Cited by:

    1. Lee, Jinhyun, 2013. "A Consistent Nonparametric Bootstrap Test of Exogeneity," SIRE Discussion Papers 2013-95, Scottish Institute for Research in Economics (SIRE).
    2. Thomas R Harris & J. S. Shonkwiler, 1994. "Application Of Maximum Likelihood To A Bivariate Two-Limit Tobit Model For Estimation Of Rural Retail Sales Potential," The Review of Regional Studies, Southern Regional Science Association, vol. 24(2), pages 143-159, Fall.
    3. Timothy Park & John Loomis, 1996. "Joint estimation of contingent valuation survey responses," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 7(2), pages 149-162, March.
    4. Shonkwiler, J.S. & Harris, T.R., 1992. "Maximum Likelihood Estimation of a Bivariate Two-Limit Model," WAEA/ WFEA Conference Archive (1929-1995) 321391, Western Agricultural Economics Association.

  35. Chesher, Andrew, 1984. "Improving the Efficiency of Probit Estimators," The Review of Economics and Statistics, MIT Press, vol. 66(3), pages 523-527, August.

    Cited by:

    1. Conniffe, Denis & O'Neill, Donal, 2009. "Efficient Probit Estimation with Partially Missing Covariates," IZA Discussion Papers 4081, Institute of Labor Economics (IZA).
    2. Carlos Pestana Barros & Shunsuke Managi & Yuichiro Yoshida, 2010. "Technical Efficiency, Regulation And Heterogeneity In Japanese Airports," Pacific Economic Review, Wiley Blackwell, vol. 15(5), pages 685-696, December.
    3. Weiling Liu & Emanuel Moench, 2014. "What predicts U.S. recessions?," Staff Reports 691, Federal Reserve Bank of New York.
    4. Denis Conniffe & Donal O’Neill, 2008. "An Efficient Estimator for Dealing with Missing Data on Explanatory Variables in a Probit Choice Model," Economics Department Working Paper Series n1960908.pdf, Department of Economics, National University of Ireland - Maynooth.

  36. Chesher, Andrew D, 1984. "Testing for Neglected Heterogeneity," Econometrica, Econometric Society, vol. 52(4), pages 865-872, July.

    Cited by:

    1. Kostas G. Mavromaras & Chris D. Orme, 2004. "Temporary layoffs and split population models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 49-67.
    2. Marc Henry & Ismael Mourifie, 2011. "Euclidean Revealed Preferences: Testing the Spatial Voting Model," CIRJE F-Series CIRJE-F-822, CIRJE, Faculty of Economics, University of Tokyo.
    3. Moffatt, Peter G., 1997. "Exploiting a matrix identity in the computation of the efficient score test for overdispersion in the Poisson regression model," Statistics & Probability Letters, Elsevier, vol. 32(1), pages 75-79, February.
    4. Gregory, Allan W. & McCurdy, Thomas H., 1986. "The unbiasedness hypothesis in the forward foreign exchange market: A specification analysis with application to France, Italy, Japan, the United Kingdom and West Germany," European Economic Review, Elsevier, vol. 30(2), pages 365-381, April.
    5. Gregory, Allan W. & McCurdy, Thomas H., 1984. "Testing the unbiasedness hypothesis in the forward foreign exchange market: A specification analysis," Journal of International Money and Finance, Elsevier, vol. 3(3), pages 357-368, December.
    6. Chesher, Andrew & Dumangane, Montezuma & Smith, Richard J., 2002. "Duration response measurement error," Journal of Econometrics, Elsevier, vol. 111(2), pages 169-194, December.
    7. Jiaying Gu & Roger Koenker, 2014. "Unobserved heterogeneity in income dynamics: an empirical Bayes perspective," CeMMAP working papers CWP43/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Carlos P. Barros & Luis A. Gil-Alana, 2011. "Terrorism: The Case of ETA," Chapters, in: Derek L. Braddon & Keith Hartley (ed.), Handbook on the Economics of Conflict, chapter 16, Edward Elgar Publishing.
    9. Jinyong Hahn & Ruoyao Shi, 2021. "Breusch and Pagan’s (1980) Test Revisited," Working Papers 202110, University of California at Riverside, Department of Economics.
    10. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    11. Brendan P.M. McCabe & Gael Martin & Keith Freeland, 2010. "A Quasi-locally Most powerful Test for Correlation in the conditional Variance of Positive Data," Monash Econometrics and Business Statistics Working Papers 2/10, Monash University, Department of Econometrics and Business Statistics.
    12. Jonathan Feinstein & Daniel McFadden, 1987. "The Dynamics of Housing Demand by the Elderly: Wealth, Cash Flow, and Demographic Effects," NBER Working Papers 2471, National Bureau of Economic Research, Inc.
    13. Jorge Pérez-Rodríguez & Emilio Gómez-Déniza & Simón Sosvilla-Rivero, 2019. "“Testing for private information using trade duration models with unobserved market heterogeneity: The case of Banco Popular”," IREA Working Papers 201907, University of Barcelona, Research Institute of Applied Economics, revised Apr 2019.
    14. Chen, J. & Kobayashi, M. & McAleer, M.J., 2017. "Testing for Volatility Co-movement in Bivariate Stochastic Volatility Models," Econometric Institute Research Papers TI 2017-022/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Barros, Carlos Pestana & Ferreira, Candida & Williams, Jonathan, 2007. "Analysing the determinants of performance of best and worst European banks: A mixed logit approach," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2189-2203, July.
    16. Carlos Pestana Barros & Zhongfei Chen & Luis A. Gil-Alana, 2011. "Housing Sales in Urban Beijing," Faculty Working Papers 10/11, School of Economics and Business Administration, University of Navarra.
    17. Russell Davidson & James G. MacKinnon, 1987. "Testing for Consistency using Artificial Regressions," Working Paper 687, Economics Department, Queen's University.
    18. Sun, Lih-Chyun & Hoehn, John P., 1993. "Modeling Multiple Responses in Contingent Valuation: Omitted Variables and Intra-Respondence Correlation," Staff Paper Series 201170, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    19. Jeonghwan Kim & Woojoo Lee, 2019. "On testing the hidden heterogeneity in negative binomial regression models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 82(4), pages 457-470, May.
    20. Jiaying Gu & Roger Koenker & Stanislav Volgushev, 2017. "Testing for homogeneity in mixture models," CeMMAP working papers 39/17, Institute for Fiscal Studies.
    21. Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2016. "Testing for a Common Volatility Process and Information Spillovers in Bivariate Financial Time Series Models," Documentos de Trabajo del ICAE 2016-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    22. Carlos Pestana Barros & Peter Wanke & Otávio Figueiredo, 2015. "The Brazilian Soccer Championship: an efficiency analysis," Applied Economics, Taylor & Francis Journals, vol. 47(9), pages 906-915, February.
    23. Chesher, Andrew & Dhaene, Geert & Gouriéroux, Christian & Scaillet, Olivier, 1999. "Bartlett Identities Tests," LIDAM Discussion Papers IRES 1999019, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    24. Nezar Bennala & Marc Hallin & Davy Paindaveine, 2010. "Rank‐based Optimal Tests for Random Effects in Panel Data," Working Papers ECARES ECARES 2010-018, ULB -- Universite Libre de Bruxelles.
    25. Andrew Chesher & Adam Rosen, 2020. "Structural modeling of simultaneous discrete choice," CeMMAP working papers CWP9/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Jiaying Gu & Roger Koenker, 2014. "Unobserved heterogeneity in income dynamics: an empirical Bayes perspective," CeMMAP working papers 43/14, Institute for Fiscal Studies.
    27. Greene, William & McKenzie, Colin, 2015. "An LM test based on generalized residuals for random effects in a nonlinear model," Economics Letters, Elsevier, vol. 127(C), pages 47-50.
    28. Kline Patrick & Santos Andres, 2012. "A Score Based Approach to Wild Bootstrap Inference," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 23-41, August.
    29. Dante Amengual & Gariele Fiorentini & Enrique Sentan, 2024. "Information matrix tests for multinomial logit models," Working Papers wp2024_2406, CEMFI.
    30. Francisco Cribari-Neto, 1996. "On the Corrections to Information Matrix Tests," Econometrics 9601001, University Library of Munich, Germany.
    31. Sergei Koulayev & Marc Rysman & Scott Schuh & Joanna Stavins, 2016. "Explaining adoption and use of payment instruments by US consumers," RAND Journal of Economics, RAND Corporation, vol. 47(2), pages 293-325, May.
    32. Pasi Holm & Tomi Kyyrä & Juha Rantala, 1999. "Household Level Economic Incentives, Unemployment Trap and Job Finding Probability," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 6(3), pages 361-378, August.
    33. Carlos Barros & Ade Ibiwoye, 2012. "Performance, heterogeneity and managerial efficiency of African airports: the Nigerian Case," CEsA Working Papers 106, CEsA - Centre for African and Development Studies.
    34. Lee, Woojoo & Kim, Jeonghwan & Ahn, Jae Youn, 2020. "The Poisson random effect model for experience ratemaking: Limitations and alternative solutions," Insurance: Mathematics and Economics, Elsevier, vol. 91(C), pages 26-36.
    35. Andrew Chesher & Adam Rosen, 2020. "Econometric Modeling of Interdependent Discrete Choice with Applications to Market Structure," CeMMAP working papers CWP25/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    36. Carlos Pestana Barros & Gaël Bertrand & Laurent Botti & Scott Tainsky, 2014. "Cost efficiency of French rugby clubs," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2721-2732, August.
    37. Abbring, J.H. & van den Berg, G. & Gautier, P.A. & van Lomwel, A.G.C. & van Ours, J.C. & Ruhm, C.J., 1998. "Displaced Workers in The United States and The Netherlands," Discussion Paper 1998-96, Tilburg University, Center for Economic Research.
    38. Jere Behrman & Robin Sickles & Paul Taubman, 1990. "Age-Specific Death Rates With Tobacco Smoking and Occupational Activity: Sensitivity to Sample Length, Functional Form, and Unobserved Frailty," Demography, Springer;Population Association of America (PAA), vol. 27(2), pages 267-284, May.
    39. Isabel Proenca & Joao Santos Silva, 2005. "Parametric and semiparametric specification tests for binary choice models: a comparative simulation study," Econometrics 0508008, University Library of Munich, Germany.
    40. Battistin, Erich & Chesher, Andrew, 2014. "Treatment effect estimation with covariate measurement error," Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
    41. Joachim Zietz, 2005. "Detecting Neglected Parameter Heterogeneity with Chow Tests," Working Papers 200503, Middle Tennessee State University, Department of Economics and Finance.
    42. Kyyrä, Tomi & Holm, Pasi & Rantala, Juha, 1998. "Business Cycle, unemployment Trap and Effects of Economic Incentives on Job Finding Probability," Discussion Papers 175, VATT Institute for Economic Research.
    43. Santos Silva, J. M. C., 1997. "Unobservables in count data models for on-site samples," Economics Letters, Elsevier, vol. 54(3), pages 217-220, July.
    44. Michael Baker & Samuel A. Rea, 1998. "Employment Spells And Unemployment Insurance Eligibility Requirements," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 80-94, February.
    45. Bera, Anil K. & Kim, Sangwhan, 2002. "Testing constancy of correlation and other specifications of the BGARCH model with an application to international equity returns," Journal of Empirical Finance, Elsevier, vol. 9(2), pages 171-195, March.
    46. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2024. "The information matrix test for Gaussian mixtures," Working Papers wp2024_2401, CEMFI.
    47. Bennala, Nezar & Hallin, Marc & Paindaveine, Davy, 2012. "Pseudo-Gaussian and rank-based optimal tests for random individual effects in large n small T panels," Journal of Econometrics, Elsevier, vol. 170(1), pages 50-67.
    48. Barros, Carlos Pestana, 2014. "Airports and tourism in Mozambique," Tourism Management, Elsevier, vol. 41(C), pages 76-82.
    49. Dirk Hoorelbeke, 2004. "Bootstrap correcting the score test," Econometric Society 2004 North American Summer Meetings 228, Econometric Society.
    50. Jiaying Gu & Roger Koenker & Stanislav Volgushev, 2017. "Testing for homogeneity in mixture models," CeMMAP working papers CWP39/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    51. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2021. "Multivariate Hermite polynomials and information matrix tests," Econometrics Working Papers Archive 2021_07, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    52. Santos Silva, Joao M. C. & Windmeijer, Frank, 2001. "Two-part multiple spell models for health care demand," Journal of Econometrics, Elsevier, vol. 104(1), pages 67-89, August.
    53. Cho, Jin Seo & White, Halbert, 2010. "Testing for unobserved heterogeneity in exponential and Weibull duration models," Journal of Econometrics, Elsevier, vol. 157(2), pages 458-480, August.
    54. Hahn, Jinyong & Newey, Whitney K. & Smith, Richard J., 2014. "Neglected heterogeneity in moment condition models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 86-100.
    55. Fourgeaud Claude & Gourieroux Christian & Pradel Jacqueline, 1988. "Hétérogénéité dans les modèles à représentation linéaire," CEPREMAP Working Papers (Couverture Orange) 8805, CEPREMAP.
    56. Angulo, Ana Maria & Gil, Jose Maria & Mur, Jesus, 2002. "Spanish Demand for Food Away From Home: A Panel Data Approach," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24977, European Association of Agricultural Economists.
    57. Samarjit Das & Nityananda Sarkar, 2010. "Is the relative risk aversion parameter constant over time? A multi-country study," Empirical Economics, Springer, vol. 38(3), pages 605-617, June.
    58. Matteo Bottai & Nicola Orsini, 2004. "Confidence intervals for the variance component of random-effects linear models," Stata Journal, StataCorp LP, vol. 4(4), pages 429-435, December.
    59. William Greene & Colin McKenzie, 2012. "LM Tests for Random Effects," Working Papers 12-14, New York University, Leonard N. Stern School of Business, Department of Economics.
    60. Carlos Pestana Barros & Eduardo Couto & Antonio Samagaio, 2014. "Management ability, strategy, tactics and team performance," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 11, pages 166-188, Edward Elgar Publishing.
    61. Pérez-Rodríguez, Jorge V. & Gómez-Déniz, Emilio & Sosvilla-Rivero, Simón, 2021. "Testing unobserved market heterogeneity in financial markets: The case of Banco Popular," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 151-160.
    62. Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2008. "Sup-tests for linearity in a general nonlinear AR(1) model when the supremum is taken over the full parameter space," MPRA Paper 16669, University Library of Munich, Germany.
    63. David Todem & Wei‐Wen Hsu & KyungMann Kim, 2023. "Nonparametric scanning tests of homogeneity for hierarchical models with continuous covariates," Biometrics, The International Biometric Society, vol. 79(3), pages 2063-2075, September.
    64. Thomas H. McCurdy & Ieuan G. Morgan, 1986. "Tests of the Martingale Hypothesis for Foreign Currency Futures with Time-Varying Volatility," Working Paper 663, Economics Department, Queen's University.
    65. Maxwell King & Xibin Zhang & Muhammad Akram, 2019. "Hypothesis Testing Based on a Vector of Statistics," Monash Econometrics and Business Statistics Working Papers 30/19, Monash University, Department of Econometrics and Business Statistics.
    66. Simlai, Prodosh, 2014. "Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 17-30.
    67. Francq, Christian & Horvath, Lajos & Zakoïan, Jean-Michel, 2010. "Sup-Tests For Linearity In A General Nonlinear Ar(1) Model," Econometric Theory, Cambridge University Press, vol. 26(4), pages 965-993, August.
    68. Serge Darolles & Patrick Gagliardini & Christian Gouriéroux, 2012. "Survival of Hedge Funds : Frailty vs Contagion," Working Papers 2012-36, Center for Research in Economics and Statistics.
    69. Zaman, Asad, 1995. "On the inconsistency of the Breusch-Pagan test," MPRA Paper 9904, University Library of Munich, Germany.
    70. Bera, A.K. & Lee, S., 1993. "Information matrix test, parameter heterogeneity and ARCH : A synthesis," Other publications TiSEM bf71e9fe-03a8-48f0-8a72-0, Tilburg University, School of Economics and Management.
    71. Pestana Barros, Carlos & Sequeira Antunes, Olinda, 2011. "Performance assessment of Portuguese wind farms: Ownership and managerial efficiency," Energy Policy, Elsevier, vol. 39(6), pages 3055-3063, June.
    72. Barros, Carlos Pestana & Butler, Richard & Correia, Antónia, 2010. "The length of stay of golf tourism: A survival analysis," Tourism Management, Elsevier, vol. 31(1), pages 13-21.
    73. Dutta, Jayasri & Zaman, Asad, 1989. "What Do Heteroskedasticity Tests Detect?," MPRA Paper 113344, University Library of Munich, Germany, revised Dec 1992.
    74. R. K. Freeland & B. P. M. McCabe, 2004. "Analysis of low count time series data by poisson autoregression," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(5), pages 701-722, September.
    75. Kim, Youngjune & Chen, Bowen & Featherstone, Allen M. & Pendell, Dustin L., 2017. "Are Efficient Farms and Inefficient Farms Heterogeneous?," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252830, Southern Agricultural Economics Association.
    76. Daisuke Nagakura, 2008. "A note on the relationship between the information matrx test and a score test for parameter constancy," Economics Bulletin, AccessEcon, vol. 3(5), pages 1-7.
    77. Barros, Carlos Pestana & Managi, Shunsuke, 2009. "Regulation, pollution and heterogeneity in Japanese steam power generation companies," Energy Policy, Elsevier, vol. 37(8), pages 3109-3114, August.
    78. Francisco Cribari-Neto, 1997. "On the corrections to information matrix tests," Econometric Reviews, Taylor & Francis Journals, vol. 16(1), pages 39-53.
    79. Gourieroux, C. & Peaucelle, I., 1988. "Fonctions de production représentatives de fonctions à complémentarité stricte," L'Actualité Economique, Société Canadienne de Science Economique, vol. 64(2), pages 209-230, juin.
    80. Wasel Shadat & Chris Orme, 2011. "An investigation of parametric tests of CCC assumption," Economics Discussion Paper Series 1109, Economics, The University of Manchester.
    81. Chris D. Orme & Takashi Yamagata, 2006. "The asymptotic distribution of the F-test statistic for individual effects," Econometrics Journal, Royal Economic Society, vol. 9(3), pages 404-422, November.
    82. Francq, Christian & Zakoïan, Jean-Michel, 2007. "HAC estimation and strong linearity testing in weak ARMA models," Journal of Multivariate Analysis, Elsevier, vol. 98(1), pages 114-144, January.
    83. Mora Rodriguez, Jhon James, 2013. "Introduccion a la teoría del consumidor [Introduction to Consumer Theory]," MPRA Paper 48129, University Library of Munich, Germany, revised 08 Jul 2013.
    84. Carlos Pestana Barros & Isabel Proenca & Joao Ricardo Faria & Luis Gil-Alana, 2007. "Are Usa Citizens At Risk Of Terrorism In Europe?," Defence and Peace Economics, Taylor & Francis Journals, vol. 18(6), pages 495-507.
    85. Gourieroux, C. & Visser, M., 1997. "A count data model with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 79(2), pages 247-268, August.
    86. Yang, Zhao & Hardin, James W. & Addy, Cheryl L., 2010. "Score tests for overdispersion in zero-inflated Poisson mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 54(5), pages 1234-1246, May.
    87. Hu Liang & Shin Yongcheol, 2008. "Optimal Test for Markov Switching GARCH Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-27, September.

  37. Andrew Chesher & Tony Lancaster, 1983. "The Estimation of Models of Labour Market Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(4), pages 609-624.

    Cited by:

    1. Raquel Carrasco & José Ignacio García Pérez, 2008. "Unemployment Duration among Immigrants and Natives: Unobserved Heterogeneity in a Multi-Spell Duration Model," Working Papers 08.13, Universidad Pablo de Olavide, Department of Economics.
    2. van Ommeren, Jos & Rietveld, Piet & Nijkamp, Peter, 2002. "A bivariate duration model for job mobility of two-earner households," European Journal of Operational Research, Elsevier, vol. 137(3), pages 574-587, March.
    3. J. Ignacio García-Pérez & Sergi Jiménez-Martín & Alfonso R. Sánchez-Martín, 2010. "Retirement incentives, individual heterogeneity and labour transitions of employed and unemployed workers," Economics Working Papers 1239, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Luis a. Gil-alana & Liang Jiang, 2013. "Unemployment in the US. Unemployment rate versus claimant counts. Mean reversion, persistence or hysteresis," Economics Bulletin, AccessEcon, vol. 33(3), pages 1978-1982.
    5. Florens, J.-P. & Fougère, D. & Kamionka, T. & Mouchart, M., 1994. "La modélisation économétrique des transitions individuelles sur le marché du travail," LIDAM Reprints CORE 1138, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Manuela Angelucci, 2012. "US Border Enforcement and the Net Flow of Mexican Illegal Migration," Economic Development and Cultural Change, University of Chicago Press, vol. 60(2), pages 311-357.
    7. Keshab Bhattarai & Huw Dixon, 2014. "Equilibrium Unemployment in a General Equilibrium Model with Taxes," Manchester School, University of Manchester, vol. 82(S1), pages 90-128, September.
    8. Kettunen, Juha, 1997. "Education and unemployment duration," Economics of Education Review, Elsevier, vol. 16(2), pages 163-170, April.
    9. Van den Berg, G J & Lindeboom, M & Ridder, G, 1994. "Attrition in Longitudinal Panel Data and the Empirical Analysis of Dynamic Labour Market Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(4), pages 421-435, Oct.-Dec..
    10. Pasi Holm & Tomi Kyyrä & Juha Rantala, 1999. "Household Level Economic Incentives, Unemployment Trap and Job Finding Probability," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 6(3), pages 361-378, August.
    11. De Toldi, M. & Gourieroux, C. & Monfort, A., 1995. "Prepayment analysis for securitization," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 45-70, March.
    12. Kyyrä, Tomi & Holm, Pasi & Rantala, Juha, 1998. "Business Cycle, unemployment Trap and Effects of Economic Incentives on Job Finding Probability," Discussion Papers 175, VATT Institute for Economic Research.
    13. Costas Meghir & Edward Whitehouse, 1993. "Labour market transitions and retirement of men in the UK," IFS Working Papers W93/12, Institute for Fiscal Studies.
    14. Van den Berg, Gerard J., 2000. "Duration Models: Specification, Identification, and Multiple Durations," MPRA Paper 9446, University Library of Munich, Germany.
    15. Saavedra-Chanduví, Jaime & Torero, Máximo, 2000. "Labor Market Reforms and Their Impact on Formal Labor Demand and Job Market Turnover: The Case of Peru," IDB Publications (Working Papers) 3269, Inter-American Development Bank.
    16. A R Pickles & R B Davies, 1991. "The Empirical Analysis of Housing Careers: A Review and a General Statistical Modelling Framework," Environment and Planning A, , vol. 23(4), pages 465-484, April.
    17. Liliane Bonnal & Denis Fougère, 1990. "Les déterminants individuels de la durée du chômage," Économie et Prévision, Programme National Persée, vol. 96(5), pages 45-82.
    18. Alfred Hamerle, 1991. "On the Treatment of Interrupted Spells and Initial Conditions in Event History Analysis," Sociological Methods & Research, , vol. 19(3), pages 388-414, February.
    19. Lancaster, Tony & Imbens, Guido, 1995. "Optimal stock/flow panels," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 325-348.
    20. Murphy, Anthony, 1996. "A piecewise-constant hazard-rate model for the duration of unemployment in single-interview samples of the stock of unemployed," Economics Letters, Elsevier, vol. 51(2), pages 177-183, May.
    21. Marie Albertine Djuikom & Guy Lacroix, 2018. "Dynamic Causal Effects of Post-Migration Schooling on Labour Market Transitions," Cahiers de recherche 1803, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    22. Kemp, Gordon C. R., 2000. "When is a proportional hazards model valid for both stock and flow sampled duration data?," Economics Letters, Elsevier, vol. 69(1), pages 33-37, October.
    23. Gourieroux, C. & Peaucelle, I., 1988. "Fonctions de production représentatives de fonctions à complémentarité stricte," L'Actualité Economique, Société Canadienne de Science Economique, vol. 64(2), pages 209-230, juin.
    24. Berg, G.J. & Lindeboom, M., 1994. "Attrition in panel data and the estimation of dynamic labor market models," Serie Research Memoranda 0022, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    25. Isabella Buber, 2002. "The influence of the distribution of household and childrearing tasks between men and women on childbearing intentions in Austria," MPIDR Working Papers WP-2002-004, Max Planck Institute for Demographic Research, Rostock, Germany.

  38. Chesher, Andrew, 1983. "The information matrix test : Simplified calculation via a score test interpretation," Economics Letters, Elsevier, vol. 13(1), pages 45-48.

    Cited by:

    1. Gregory, Allan W. & McCurdy, Thomas H., 1986. "The unbiasedness hypothesis in the forward foreign exchange market: A specification analysis with application to France, Italy, Japan, the United Kingdom and West Germany," European Economic Review, Elsevier, vol. 30(2), pages 365-381, April.
    2. Boldea, O. & Magnus, J.R., 2009. "Maximum likelihood estimation of the multivariate normal mixture model," Other publications TiSEM c5d9a58c-6bc2-4098-bfed-d, Tilburg University, School of Economics and Management.
    3. Gregory, Allan W. & McCurdy, Thomas H., 1984. "Testing the unbiasedness hypothesis in the forward foreign exchange market: A specification analysis," Journal of International Money and Finance, Elsevier, vol. 3(3), pages 357-368, December.
    4. Stomberg, Christopher & White, Halbert, 2000. "Bootstrapping the Information Matrix Test," University of California at San Diego, Economics Working Paper Series qt158451cr, Department of Economics, UC San Diego.
    5. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    6. James G. MacKinnon & Russell Davidson, 1999. "Artificial Regressions," Working Paper 978, Economics Department, Queen's University.
    7. Wasel Shadat, 2011. "On the Nonparametric Tests of Univariate GARCH Regression Models," Economics Discussion Paper Series 1115, Economics, The University of Manchester.
    8. Daphna Harel & Russell J. Steele, 2018. "An Information Matrix Test for the Collapsing of Categories Under the Partial Credit Model," Journal of Educational and Behavioral Statistics, , vol. 43(6), pages 721-750, December.
    9. Riccardo LUCCHETTI & Claudia PIGINI, 2011. "Conditional Moment Tests for Normality in Bivariate Limited Dependent Variable Models: a Monte Carlo Study," Working Papers 357, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    10. Andrew Chesher & Adam Rosen, 2020. "Structural modeling of simultaneous discrete choice," CeMMAP working papers CWP9/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Manabu Asai & Mike K. P. So, 2021. "Quasi‐maximum likelihood estimation of conditional autoregressive Wishart models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 271-294, May.
    12. Prokhorov, Artem, 2008. "A goodness-of-fit test for copulas," MPRA Paper 9998, University Library of Munich, Germany.
    13. Dante Amengual & Gariele Fiorentini & Enrique Sentan, 2024. "Information matrix tests for multinomial logit models," Working Papers wp2024_2406, CEMFI.
    14. Andrew Chesher & Adam Rosen, 2020. "Econometric Modeling of Interdependent Discrete Choice with Applications to Market Structure," CeMMAP working papers CWP25/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Choi, Hwan-sik, 2016. "Information theory for maximum likelihood estimation of diffusion models," Journal of Econometrics, Elsevier, vol. 191(1), pages 110-128.
    16. Domowitz, Ian & Hakkio, Craig S., 1985. "Conditional variance and the risk premium in the foreign exchange market," Journal of International Economics, Elsevier, vol. 19(1-2), pages 47-66, August.
    17. Riccardo Lucchetti & Claudia Pigini, 2013. "A test for bivariate normality with applications in microeconometric models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 535-572, November.
    18. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2024. "The information matrix test for Gaussian mixtures," Working Papers wp2024_2401, CEMFI.
    19. John Mullahy, 2011. "Multivariate Fractional Regression Estimation Of Econometric Share Models," Working Papers 201133, Geary Institute, University College Dublin.
    20. Russell Davidson & James G. MacKinnon, 1994. "Graphical Methods for Investigating the Size and Power of Hypothesis Tests," Working Paper 903, Economics Department, Queen's University.
    21. Dirk Hoorelbeke, 2004. "Bootstrap correcting the score test," Econometric Society 2004 North American Summer Meetings 228, Econometric Society.
    22. Richard M. Golden & Steven S. Henley & Halbert White & T. Michael Kashner, 2016. "Generalized Information Matrix Tests for Detecting Model Misspecification," Econometrics, MDPI, vol. 4(4), pages 1-24, November.
    23. Angulo, Ana Maria & Gil, Jose Maria & Mur, Jesus, 2002. "Spanish Demand for Food Away From Home: A Panel Data Approach," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24977, European Association of Agricultural Economists.
    24. Asai Manabu & So Mike K. P., 2023. "Realized BEKK-CAW Models," Journal of Time Series Econometrics, De Gruyter, vol. 15(1), pages 49-77, January.
    25. Andrew Chesher & Adam Rosen & Zahra Siddique, 2019. "Estimating Endogenous Effects on Ordinal Outcomes," CeMMAP working papers CWP66/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Esmeralda A. Ramalho & Joaquim J.S. Ramalho & José M.R. Murteira, 2011. "Alternative Estimating And Testing Empirical Strategies For Fractional Regression Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 19-68, February.
    27. Davidson, Russell & MacKinnon, James G, 1988. "Double Length Artificial Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 50(2), pages 203-217, May.
    28. Thomas H. McCurdy & Ieuan G. Morgan, 1986. "Tests of the Martingale Hypothesis for Foreign Currency Futures with Time-Varying Volatility," Working Paper 663, Economics Department, Queen's University.
    29. Maxwell King & Xibin Zhang & Muhammad Akram, 2019. "Hypothesis Testing Based on a Vector of Statistics," Monash Econometrics and Business Statistics Working Papers 30/19, Monash University, Department of Econometrics and Business Statistics.
    30. Bera, A.K. & Lee, S., 1993. "Information matrix test, parameter heterogeneity and ARCH : A synthesis," Other publications TiSEM bf71e9fe-03a8-48f0-8a72-0, Tilburg University, School of Economics and Management.
    31. Geert Dhaene & Dirk Hoorelbeke, 2002. "The Information Matrix Test with Bootstrap-Based Covariance Matrix Estimation," Working Papers of Department of Economics, Leuven ces0211, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    32. Mullahy John, 2015. "Multivariate Fractional Regression Estimation of Econometric Share Models," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-30, January.
    33. Daisuke Nagakura, 2008. "A note on the relationship between the information matrx test and a score test for parameter constancy," Economics Bulletin, AccessEcon, vol. 3(5), pages 1-7.

  39. Lancaster, Tony & Chesher, Andrew, 1983. "An Econometric Analysis of Reservation Wages," Econometrica, Econometric Society, vol. 51(6), pages 1661-1676, November.

    Cited by:

    1. Addison, John T. & Centeno, Mario & Portugal, Pedro, 2008. "Unemployment Benefits and Reservation Wages: Key Elasticities from a Stripped-Down Job Search Approach," IZA Discussion Papers 3357, Institute of Labor Economics (IZA).
    2. Sarah Brown & Gurleen Popli & Alessandro Sasso, 2022. "Decomposing the gender reservation wage gap in Italy: A regional perspective," Journal of Regional Science, Wiley Blackwell, vol. 62(2), pages 499-540, March.
    3. Amelie Constant & Annabelle Krause & Ulf Rinne & Klaus F. Zimmermann, 2010. "Reservation Wages of First and Second Generation Migrants," Discussion Papers of DIW Berlin 1089, DIW Berlin, German Institute for Economic Research.
    4. Barbara Petrongolo & Christopher A. Pissarides, 2003. "Scale Effects in Markets with Search," CEP Discussion Papers dp0571, Centre for Economic Performance, LSE.
    5. Gerard J. van den Berg & Annette H. Bergemann & Marco Caliendo, 2009. "The Effect of Active Labor Market Programs on Not-Yet Treated Unemployed Individuals," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 606-616, 04-05.
    6. Pedro Portugal & John T. Addison, 2004. "Key Elasticities in Job Search Theory: International Evidence," Working Papers w200412, Banco de Portugal, Economics and Research Department.
    7. Felix Koenig & Alan Manning & Barbara Petrongolo, 2016. "Reservation Wages and the Wage Flexibility Puzzle," Working Papers 787, Queen Mary University of London, School of Economics and Finance.
    8. Hans Bloemen & Elena Stancanelli, 2001. "Individual Wealth, Reservation Wages, and Transitions into Employment," Post-Print hal-01017002, HAL.
    9. Markus Pannenberg, 2007. "Risk Aversion and Reservation Wages," SOEPpapers on Multidisciplinary Panel Data Research 23, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Addison, John T. & Centeno, Mario & Portugal, Pedro, 2004. "Reservation Wages, Search Duration, and Accepted Wages in Europe," IZA Discussion Papers 1252, Institute of Labor Economics (IZA).
    11. B. Dormont & D. Fougère & A. Prieto, 2001. "L'effet de l'allocation unique dégressive sur la reprise d'emploi," THEMA Working Papers 2001-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    12. John W. Schindler, 2001. "Testing optimality in job search models," International Finance Discussion Papers 710, Board of Governors of the Federal Reserve System (U.S.).
    13. José Ignacio García Pérez, 2003. "Non-stationary Job Search When Jobs Do Not Last Forever: A Structural Estimation to Evaluate Alternative Unemployment Insurance Systems," Economic Working Papers at Centro de Estudios Andaluces E2003/49, Centro de Estudios Andaluces.
    14. Wilbert van der Klaauw, 2012. "On the Use of Expectations Data in Estimating Structural Dynamic Choice Models," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 521-554.
    15. Christian Keuschnigg, 2008. "Corporate Taxation and the Welfare State," University of St. Gallen Department of Economics working paper series 2008 2008-18, Department of Economics, University of St. Gallen.
    16. Madhu Mohanty, 2005. "An alternative method of estimating the worker's reservation wage," International Economic Journal, Taylor & Francis Journals, vol. 19(4), pages 501-522.
    17. Mason, Robin & Välimäki, Juuso, 2008. "Learning and Smooth Stopping," CEPR Discussion Papers 6623, C.E.P.R. Discussion Papers.
    18. Pedro Portugal & John T. Addison, 2010. "The Reservation Wage Unemployment Duration Nexus," Working Papers w201026, Banco de Portugal, Economics and Research Department.
    19. R Alessie & A Kapteyn, 2001. "New data for understanding saving," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 17(1), pages 55-69, Spring.
    20. Kesternich, Iris & Schumacher, H. & Siflinger, Bettina & Valder, Franziska, 2018. "Reservation Wages and Labor Supply," Discussion Paper 2018-054, Tilburg University, Center for Economic Research.
    21. Moshe A. Barach & John Horton, 2017. "How Do Employers Use Compensation History?: Evidence from a Field Experiment," CESifo Working Paper Series 6559, CESifo.
    22. Amelie Constant & Martin Kahanec & Ulf Rinne & Klaus F. Zimmermann, 2009. "Ethnicity, Job Search and Labor Market Reintegration of the Unemployed," Discussion Papers of DIW Berlin 963, DIW Berlin, German Institute for Economic Research.
    23. Brown, Sarah & Taylor, Karl, 2013. "Reservation wages, expected wages and unemployment," Economics Letters, Elsevier, vol. 119(3), pages 276-279.
    24. María Angeles Davia & Oscar D. Marcenaro Gutiérrez, 2008. "Exploring the link between employment search time and reservation," Hacienda Pública Española / Review of Public Economics, IEF, vol. 186(3), pages 91-121, October.
    25. Brown, Sarah & Taylor, Karl, 2011. "Reservation wages, market wages and unemployment: Analysis of individual level panel data," Economic Modelling, Elsevier, vol. 28(3), pages 1317-1327, May.
    26. A. Prieto, 2000. "L'introduction d'une allocation chômage dégressive en France en 1992. Quel impact sur la reprise de l'emploi ? Etude économétrique menée à partir du Fichier National des Allocataires de l'UNEDIC sur l," THEMA Working Papers 2000-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    27. Yann Algan & Antoine Terracol, 2001. "L'influence de l'épargne de précaution sur la recherche d'emploi," SciencePo Working papers Main hal-01017893, HAL.
    28. Tricia Gladden & Michelle Alexopoulos, 2004. "The Effects of Wealth, and Unemployment Benefits on Search Behavior and Labor Market Transitions," Econometric Society 2004 North American Summer Meetings 517, Econometric Society.
    29. Alan Manning, 2010. "Imperfect Competition in the Labour Market," CEP Discussion Papers dp0981, Centre for Economic Performance, LSE.
    30. Eckstein, Zwi & van den Berg, Gerard J, 2003. "Empircial labor search models: A survey," Working Paper Series 2003:18, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    31. Damiani, Mirella & Pompei, Fabrizio & Andrea, Ricci, 2018. "Labour shares, employment protection and unions in European economies," MPRA Paper 91300, University Library of Munich, Germany.
    32. Keuschnigg, Christian & Ribi, Evelyn, 2009. "Outsourcing, unemployment and welfare policy," Journal of International Economics, Elsevier, vol. 78(1), pages 168-176, June.
    33. Sarah Brown & Karl Taylor, 2008. "Reservation Wages, Expected Wages and Labour Market Outcomes: Analysis of Individual Level Panel Data," Working Papers 2008008, The University of Sheffield, Department of Economics, revised Jul 2008.
    34. Richard Layte & Tim Callan, 2001. "Unemployment, Welfare Benefits and the Financial Incentive to Work," The Economic and Social Review, Economic and Social Studies, vol. 32(2), pages 103-129.
    35. Charles F. Manski & John D. Straub, 2000. "Worker Perceptions of Job Insecurity in the Mid-1990s: Evidence from the Survey of Economic Expectations," Journal of Human Resources, University of Wisconsin Press, vol. 35(3), pages 447-479.
    36. Böheim, Renè & Horvath, Gerard Thomas & Winter-Ebmer, Rudolf, 2011. "Great expectations: Past wages and unemployment durations," Labour Economics, Elsevier, vol. 18(6), pages 778-785.
    37. Sarah Brown & Karl Taylor, "undated". "Reservation Wages, Expected wages and the duration of Unemployment: evidence from British Panel data," Working Papers 2009001, The University of Sheffield, Department of Economics.
    38. Rioux, Laurence & Lollivier, Stefan, 2005. "A Structural Non-Stationary Model of Job Search: Stigmatization of the Unemployed by Job Offers or Wage Offers?," CEPR Discussion Papers 5108, C.E.P.R. Discussion Papers.
    39. van den Berg, Gerard J, 1995. "Wage dispersion and mobility," Economic Modelling, Elsevier, vol. 12(1), pages 15-27, January.
    40. James A. Levinsohn & Todd Pugatch, 2011. "Prospective Analysis of a Wage Subsidy for Cape Town Youth," NBER Working Papers 17248, National Bureau of Economic Research, Inc.
    41. John J. Conlon & Laura Pilossoph & Matthew Wiswall & Basit Zafar, 2018. "Labor Market Search With Imperfect Information and Learning," Working Papers 2018-068, Human Capital and Economic Opportunity Working Group.
    42. Donald Haurin & Kala Sridhar, 2003. "The impact of local unemployment rates on reservation wages and the duration of search for a job," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1469-1476.
    43. Christensen, B.J. & Kiefer, N.M., 1990. "The Exact Likelihood Function For An Empirical Job Search Model," Papers 9017, Tilburg - Center for Economic Research.
    44. Sarah Brown & Jennifer Roberts & Karl Taylor, 2010. "The gender reservation wage gap: evidence from British panel data," Working Papers 2010010, The University of Sheffield, Department of Economics, revised May 2010.
    45. María A. Davia & Óscar D. Marcenaro-Gutiérrez, 2007. "Exploring the link between employment search time and reservation wages in Southern Europe," Economic Working Papers at Centro de Estudios Andaluces E2007/13, Centro de Estudios Andaluces.
    46. Denis Fougère & Jacqueline Pradel & Muriel Roger, 2005. "Does Job-Search Assistance Affect Search Effort and Outcomes ? A Microeconometric Analysis of Public Versus Private Search Methods," Working Papers 2005-33, Center for Research in Economics and Statistics.
    47. Ours, J.C. & Ridder, G., 1989. "An empirical analysis of vacancy durations and vacancy flows : cyclical variation and job requirements," Serie Research Memoranda 0031, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    48. J. Ignacio García Pérez, 2001. "Non-stationary job search when jobs are not forever: A structural estimation," Economics Working Papers 556, Department of Economics and Business, Universitat Pompeu Fabra.
    49. Clemens, Michael A., 2017. "The Effect of Occupational Visas on Native Employment: Evidence from Labor Supply to Farm Jobs in the Great Recession," IZA Discussion Papers 10492, Institute of Labor Economics (IZA).
    50. Eckstein, Zvi & van den Berg, Gerard J., 2003. "Empirical Labor Search: A Survey," IZA Discussion Papers 929, Institute of Labor Economics (IZA).
    51. Chantal Cases, 1996. "Assurance-chômage et offre de travail," Économie et Statistique, Programme National Persée, vol. 291(1), pages 139-150.
    52. Ahmed Khwaja & Frank Sloan & Sukyung Chung, 2007. "The relationship between individual expectations and behaviors: Mortality expectations and smoking decisions," Journal of Risk and Uncertainty, Springer, vol. 35(2), pages 179-201, October.
    53. van den Berg, Gerard J, 1999. "Empirical Inference with Equilibrium Search Models of the Labour Market," Economic Journal, Royal Economic Society, vol. 109(456), pages 283-306, June.
    54. van den Berg, G., 1986. "Nonstationarity in job search theory," Other publications TiSEM 35f3711e-ff88-4eb9-8326-6, Tilburg University, School of Economics and Management.
    55. Liliane Bonnal & Denis Fougère, 1990. "Les déterminants individuels de la durée du chômage," Économie et Prévision, Programme National Persée, vol. 96(5), pages 45-82.
    56. Denis Fougère & Jacqueline Pradel & Muriel Roger, 2009. "Does the public employment service affect search effort and outcomes," Post-Print halshs-00824380, HAL.
    57. Paul J. Devereux, 2004. "Cyclical Quality Adjustment in the Labor Market," Southern Economic Journal, John Wiley & Sons, vol. 70(3), pages 600-615, January.
    58. Panos Sousounis & Gauthier Lanot, 2022. "Minimum Wage Effects on Reservation Wages," Journal of Labor Research, Springer, vol. 43(3), pages 415-439, December.
    59. Burdett, Kenneth, 1989. "Empirical Wage Distributions: A New Framework for Labor Market Policy Analysis," Working Paper Series 223, Research Institute of Industrial Economics.
    60. Dominitz, Jeff, 2001. "Estimation of income expectations models using expectations and realization data," Journal of Econometrics, Elsevier, vol. 102(2), pages 165-195, June.
    61. Julio J. Rotemberg, 2012. "Prominent Job Advertisements, Group Learning and Wage Dispersion," NBER Working Papers 18638, National Bureau of Economic Research, Inc.
    62. Mr. Eswar S Prasad, 2003. "What Determines the Reservation Wages of Unemployed Workers? New Evidence From German Micro Data," IMF Working Papers 2003/004, International Monetary Fund.
    63. T Azomahou & Bity Diene & Mbaye Diene & Luc Soete, 2015. "Optimal health investment and preferences structure," CERDI Working papers halshs-01144802, HAL.
    64. Chantal Cases & Stefan Lollivier, 1994. "Estimation d'un modèle de sortie de chômage à destinations multiples," Économie et Prévision, Programme National Persée, vol. 113(2), pages 177-187.
    65. Thomas J. Emmerling & Abdullah Yavas & Yildiray Yildirim, 2021. "To accept or not to accept: Optimal strategy for sellers in real estate," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(S1), pages 268-296, March.
    66. Sarah Brown & Jenny Roberts & Karl Taylor, 2008. "Reservation Wages, Labour Market Participation And Health," Working Papers 2008002, The University of Sheffield, Department of Economics, revised Feb 2008.
    67. Michael A. Clemens, 2022. "The effect of seasonal work visas on native employment: Evidence from US farm work in the Great Recession," Review of International Economics, Wiley Blackwell, vol. 30(5), pages 1348-1374, November.
    68. Christensen, Björn, 2003. "Die Validität erfragter Reservationslöhne: ein Test auf Basis der stationären Suchtheorie," Kiel Working Papers 1151, Kiel Institute for the World Economy (IfW Kiel).
    69. Mark Stater & Jeffrey B Wenger, 2017. "The Immediate Hardship of Unemployment: Evidence from the US Unemployment Insurance System," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(1), pages 17-36, January.
    70. Michael Clemens, 2013. "The Effect of Foreign Labor on Native Employment: A Job-Specific Approach and Application to North Carolina Farms- Working Paper 326," Working Papers 326, Center for Global Development.
    71. Richard J. Boys & Peter J. Dolton & Neil R. Walker, 2007. "Adapting the optimal job search model for active labour market policy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 759-779, July.
    72. Seonho Shin, 2022. "To work or not? Wages or subsidies?: Copula-based evidence of subsidized refugees’ negative selection into employment," Empirical Economics, Springer, vol. 63(4), pages 2209-2252, October.
    73. Latreille, Paul L. & Blackaby, David H. & Murphy, Philip D. & O'Leary, Nigel C. & Sloane, Peter J., 2006. "How Far and For How Much? Evidence on Wages and Potential Travel-to-Work Distances from a Survey of the Economically Inactive," IZA Discussion Papers 1976, Institute of Labor Economics (IZA).
    74. Chantal Cases, 1994. "Durées de chômage et comportements d'offre de travail : une revue de la littérature," Économie et Prévision, Programme National Persée, vol. 113(2), pages 155-170.
    75. Enswar Prasad, 2001. "The Dynamics of Reservation Wages: Preliminary Evidence from the GSOEP," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(1), pages 44-50.
    76. Blackaby, D.H. & Latreille, P.L. & Murphy, P.D. & O'Leary, N.C. & Sloane, P.J., 2007. "An analysis of reservation wages for the economically inactive," Economics Letters, Elsevier, vol. 97(1), pages 1-5, October.
    77. Pablo Antolin, 1995. "Job search behaviour and unempoyment benefits in Spain during the period 1987-1991," Investigaciones Economicas, Fundación SEPI, vol. 19(3), pages 415-433, September.
    78. J. Ignacio García-Pérez, 2006. "Job separation in a non-stationary search model: a structural estimation to evaluate alternative unemployment insurance systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 245-272.
    79. van den Berg, Gerard J & Gorter, Cees, 1997. "Job Search and Commuting Time," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(2), pages 269-281, April.
    80. Rob Euwals & Melanie Ward, "undated". "The Remuneration of British Academics," Discussion Papers in Public Sector Economics 00/7, Division of Economics, School of Business, University of Leicester.
    81. Paweł Strzelecki & Joanna Tyrowicz, 2015. "Inferring the Adequacy of Wage Expectations Among the Non-Working," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 6, pages 51-69.
    82. Laurence Rioux, 2001. "Salaire de réserve, allocation chômage dégressive et revenu minimum d'insertion," Économie et Statistique, Programme National Persée, vol. 346(1), pages 137-160.
    83. Mushfek-Ul-Alam Chowdhury & Md. Aynul Islam, 2022. "Reservation Wage for High Skilled Graduates in Bangladesh: Preliminary Factors," International Business Research, Canadian Center of Science and Education, vol. 15(12), pages 1-1, December.
    84. Sarah Brown & Karl Taylor, 2008. "Expectations, Reservation Wages And Employment: Evidence From British Panel Data," Working Papers 2008007, The University of Sheffield, Department of Economics, revised May 2008.
    85. Padma Rao Sahib, 2000. "The information content of wage and duration data in a search model," Applied Economics, Taylor & Francis Journals, vol. 32(14), pages 1831-1839.
    86. Luz A. Florez & Ligia Alba Melo-Becerra & Carlos Esteban Posada, 2021. "Estimating the reservation wage across city groups in Colombia: A stochastic frontier approach," Borradores de Economia 1163, Banco de la Republica de Colombia.
    87. Mason, Robin & Välimäki, Juuso, 2011. "Learning about the arrival of sales," Journal of Economic Theory, Elsevier, vol. 146(4), pages 1699-1711, July.
    88. Christensen, Bent Jesper & Kiefer, Nicholas M, 1994. "Measurement Error in the Prototypal Job-Search Model," Journal of Labor Economics, University of Chicago Press, vol. 12(4), pages 618-639, October.
    89. Böheim, René, 2002. "The association between reported and calculated reservation wages," ISER Working Paper Series 2002-07, Institute for Social and Economic Research.
    90. Frank Sloan & Lindsey Eldred & Tong Guo & Yanzhi Xu, 2013. "Are people overoptimistic about the effects of heavy drinking?," Journal of Risk and Uncertainty, Springer, vol. 47(1), pages 93-127, August.
    91. McCall, John J. & Lippman, Steven A., 1984. "Ecological decision making and optimal stopping rules," Discussion Papers, Series I 189, University of Konstanz, Department of Economics.
    92. Liina Malk, 2015. "Determinants of reservation wages: empirical evidence for Estonia," Bank of Estonia Working Papers wp2014-8, Bank of Estonia, revised 20 Jan 2015.
    93. Corak, Miles & Piraino, Patrizio, 2010. "Intergenerational Earnings Mobility and the Inheritance of Employers," IZA Discussion Papers 4876, Institute of Labor Economics (IZA).
    94. van den Berg, Gerard J., 1995. "Explicit expressions for the reservation wage path and the unemployment duration density in nonstationary job search models," Labour Economics, Elsevier, vol. 2(2), pages 187-198, June.
    95. Ward-Warmedinger, Melanie & Euwals, Rob, 2000. "What Matters Most: Teaching or Research? Empirical Evidence on the Remuneration of British Academics," CEPR Discussion Papers 2628, C.E.P.R. Discussion Papers.
    96. Euwals, Rob & Ward-Warmedinger, Melanie E., 2000. "The Remuneration of British Academics," IZA Discussion Papers 178, Institute of Labor Economics (IZA).
    97. R. Bernardini Papalia & S. Bertarelli, 1998. "An Optimal Partnership Search Model: Theoretical Implications for the Europartenariat Event," Working Papers 310, Dipartimento Scienze Economiche, Universita' di Bologna.
    98. Juan Miguel Villa, 2005. "Impacto De Los Incentivos Públicos En Educación Sobre La Participación Laboral De Los Trabajadores En Colombia," Labor and Demography 0506009, University Library of Munich, Germany.

  40. Lancaster, Tony & Chesher, Andrew, 1981. "Stock and flow sampling," Economics Letters, Elsevier, vol. 8(1), pages 63-65.

    Cited by:

    1. Gatzlaff, Dean H. & Haurin, Donald R., 1998. "Sample Selection and Biases in Local House Value Indices," Journal of Urban Economics, Elsevier, vol. 43(2), pages 199-222, March.
    2. Gelbach, Jonah B., 2015. "Can we learn anything about pleading changes from existing data?," International Review of Law and Economics, Elsevier, vol. 44(C), pages 72-86.

  41. Chesher, Andrew, 1979. "Testing the Law of Proportionate Effect," Journal of Industrial Economics, Wiley Blackwell, vol. 27(4), pages 403-411, June.

    Cited by:

    1. M. Modica & A. Reggiani & P. Nijkamp, 2015. "A Comparative Analysis of Gibrat s and Zipf s Law on Urban Population," Working Papers wp1008, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Thomas Brenner & Matthias Duschl, 2014. "Modelling Firm and Market Dynamics - A Flexible Model Reproducing Existing Stylized Facts," Working Papers on Innovation and Space 2014-07, Philipps University Marburg, Department of Geography.
    3. Coad, Alex & Daunfeldt, Sven-Olov & Halvarsson, Daniel, 2015. "Bursting into life: Firm growth and growth persistence by age," HUI Working Papers 112, HUI Research.
    4. Marco Corsino, 2008. "Product Innovation and Growth: The Case of Integrated Circuits," LEM Papers Series 2008/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Alex Coad, 2007. "Firm growth: a survey," Documents de travail du Centre d'Economie de la Sorbonne r07024, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    6. Ferrando, Annalisa & Martinez-Carrascal, Carmen & Coluzzi, Chiara, 2009. "Financing obstacles and growth: an analysis for euro area non-financial corporations," Working Paper Series 997, European Central Bank.
    7. Anna Ferragina & Fernanda Mazzotta, 2018. "Firm Employment Resilience and FDI: Evidence from Italy," L'industria, Società editrice il Mulino, issue 4, pages 523-556.
    8. Peter Nijkamp & Leo van Wissen, 2006. "Modelling the Entrepreneurial Space-Economy: An Overview," Chapters, in: Aura Reggiani & Peter Nijkamp (ed.), Spatial Dynamics, Networks and Modelling, chapter 10, Edward Elgar Publishing.
    9. Saleh Amirkhalkhali & Arun K. Mukhopadhyay, 1993. "The Influence of Size and R&D on the Growth of Firms in the U.S," Eastern Economic Journal, Eastern Economic Association, vol. 19(2), pages 223-233, Spring.
    10. Giulio Bottazzi & Alex Coad & Nadia Jacoby & Angelo Secchi, 2005. "Corporate growth and industrial dynamics: evidence from french manufacturing," Post-Print hal-00261616, HAL.
    11. Rudi Vander Vennet, 2001. "The law of proportionate effect and OECD bank sectors," Applied Economics, Taylor & Francis Journals, vol. 33(4), pages 539-546.
    12. Blandina Oliveira & Adelino Fortunato, 2008. "The dynamics of the growth of firms: evidence from the services sector," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 35(3), pages 293-312, July.
    13. Paulo Nunes & Zélia Serrasqueiro & João Leitão, 2013. "Assessing the nonlinear nature of the effects of R&D intensity on growth of SMEs: a dynamic panel data approach," Journal of Evolutionary Economics, Springer, vol. 23(1), pages 97-128, January.
    14. Ann‐Marie Ward & Donal G. McKillop, 2005. "The Law of Proportionate Effect: The Growth of the UK Credit Union Movement at National and Regional Level," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(9‐10), pages 1827-1859, November.
    15. Philipp Mundt & Mishael Milakovic & Simone Alfarano, 2014. "Gibrat's law redux: Think profitability instead of growth," Working Papers 2014/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    16. Giovanni Dosi & Marco Grazzi, 2005. "Technology as Problem-Solving Procedures and Technology as Input-Output Relations: Some Perspectives on the Theory of Production," LEM Papers Series 2005/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. P. Ganugi & L. Grossi & G. Gozzi, 2005. "Testing Gibrat's law in Italian macro-regions: Analysis on a panel of mechanical companies," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 14(1), pages 101-126, February.
    18. Bertoni, Fabio & Colombo, Massimo G. & Grilli, Luca, 2011. "Venture capital financing and the growth of high-tech start-ups: Disentangling treatment from selection effects," Research Policy, Elsevier, vol. 40(7), pages 1028-1043, September.
    19. Jan Bentzen & Erik Madsen & Valdemar Smith, 2012. "Do firms’ growth rates depend on firm size?," Small Business Economics, Springer, vol. 39(4), pages 937-947, November.
    20. Ioannis Giotopoulos & Georgios Fotopoulos, 2010. "Intra-Industry Growth Dynamics in the Greek Services Sector: Firm-Level Estimates for ICT-Producing, ICT-Using, and Non-ICT Industries," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(1), pages 59-74, February.
    21. Alex Coad & Werner Hölzl, 2009. "On the Autocorrelation of Growth Rates," Journal of Industry, Competition and Trade, Springer, vol. 9(2), pages 139-166, June.
    22. Erhardt, Eva, 2017. "Who persistently creates jobs? Absolute versus relative high-growth firms," MPRA Paper 79295, University Library of Munich, Germany.
    23. SooGeun Ahn & Jeewhan Yoon & YoungJun Kim, 2018. "The innovation activities of small and medium-sized enterprises and their growth: quantile regression analysis and structural equation modeling," The Journal of Technology Transfer, Springer, vol. 43(2), pages 316-342, April.
    24. Giulio Bottazzi & Angelo Secchi & Federico Tamagni, 2006. "Financial Fragility and Growth Dynamics of Italian Business Firms," LEM Papers Series 2006/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    25. Canarella, Giorgio & Miller, Stephen M., 2018. "The determinants of growth in the U.S. information and communication technology (ICT) industry: A firm-level analysis," Economic Modelling, Elsevier, vol. 70(C), pages 259-271.
    26. Giulio Bottazzi & Taewon Kang & Federico Tamagni, 2022. "Persistence in firm growth: inference from conditional quantile transition matrice," LEM Papers Series 2022/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    27. Harald Oberhofer & Jesus Crespo Cuaresma & Gallina A. Vincelette, 2012. "Firm growth and productivity in Belarus: New empirical evidence from the machine building industry," EcoMod2012 4021, EcoMod.
    28. Blandina Oliveira & Adelino Fortunato, 2017. "Firm growth and R&D: Evidence from the Portuguese manufacturing industry," Journal of Evolutionary Economics, Springer, vol. 27(3), pages 613-627, July.
    29. Peter G. Backus, 2012. "Gibrat’s law and legacy for non-profit organisations: a non-parametric analysis," Working Papers 2012/8, Institut d'Economia de Barcelona (IEB).
    30. G. Urga & P. A. Geroski & S. Lazarova & C. F. Walters, 2003. "Are differences in firm size transitory or permanent?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 47-59.
    31. Giulio Bottazzi & Giovanni Dosi & Marco Lippi & Fabio Pammolli & Massimo Riccaboni, 2001. "Innovation and Corporate Growth in the Evolution of the Drug Industry," LEM Papers Series 2001/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    32. David Neumark & Brandon Wall & Junfu Zhang, 2008. "Do Small Businesses Create More Jobs? New Evidence from the National Establishment Time Series," NBER Working Papers 13818, National Bureau of Economic Research, Inc.
    33. Thomas Brenner & Matthias Duschl, 2018. "Modeling Firm and Market Dynamics: A Flexible Model Reproducing Existing Stylized Facts on Firm Growth," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 745-772, October.
    34. Chow Kong Wing, Clement & Fung Ka Yiu, Michael, 1996. "Firm dynamics and industrialization in the chinese economy in transition: Implications for small business policy," Journal of Business Venturing, Elsevier, vol. 11(6), pages 489-505, November.
    35. Francesca Lotti & Enrico Santarelli & Marco Vivarelli, 2002. "The Post-entry Size Adjustment of New small Firms," LEM Papers Series 2002/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    36. Robertson, Donald & Sarafidis, Vasilis & Westerlund, Joakim, 2014. "GMM Unit Root Inference in Generally Trending and Cross-Correlated Dynamic Panels," MPRA Paper 53419, University Library of Munich, Germany.
    37. Georgios Fotopoulos & Ioannis Giotopoulos, 2010. "Gibrat’s law and persistence of growth in Greek manufacturing," Small Business Economics, Springer, vol. 35(2), pages 191-202, September.
    38. Denise PUMAIN, 2012. "Une Théorie Géographique Pour La Loi De Zipf," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 31-54.
    39. Akhundjanov, Sherzod B. & Devadoss, Stephen & Luckstead, Jeff, 2017. "Size distribution of national CO2 emissions," Energy Economics, Elsevier, vol. 66(C), pages 182-193.
    40. Majumdar, Sumit K., 2004. "The hidden hand and the license raj to An evaluation of the relationship between age and the growth of firms in India," Journal of Business Venturing, Elsevier, vol. 19(1), pages 107-125, January.
    41. Charles C. Moul, 2007. "Measuring Word of Mouth's Impact on Theatrical Movie Admissions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 16(4), pages 859-892, December.
    42. Marco Guerzoni & Luigi Riso & Marco Vivarelli, 2023. "Was Robert Gibrat right? A test based on the graphical model methodology," DISCE - Quaderni del Dipartimento di Politica Economica dipe0031, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    43. M. Capasso & E. Cefis & K. Frenken, 2009. "Do some firms persistently outperform?," Working Papers 09-, Utrecht School of Economics.
    44. Kontsevoy, Denis, 2013. "Empirical analysis of Russian commercial banks growth dynamics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 29(1), pages 67-81.
    45. Alex Coad, 2007. "A Closer Look at Serial Growth Rate Correlation," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 31(1), pages 69-82, August.
    46. Roberta Piergiovanni, 2010. "Gibrat's Law in the “Third Italy”: Firm Growth in the Veneto Region," Growth and Change, Wiley Blackwell, vol. 41(1), pages 28-58, March.
    47. Habermann, Harald, 2017. "Business takeovers and firm growth: Empirical evidence from a German panel," Working Papers 01/17, Institut für Mittelstandsforschung (IfM) Bonn.
    48. Grilli, Luca & Murtinu, Samuele, 2014. "Government, venture capital and the growth of European high-tech entrepreneurial firms," Research Policy, Elsevier, vol. 43(9), pages 1523-1543.
    49. G. Bottazzi & E. Cefis & G. Dosi & A. Secchi, 2007. "Invariances and Diversities in the Patterns of Industrial Evolution: Some Evidence from Italian Manufacturing Industries," Small Business Economics, Springer, vol. 29(1), pages 137-159, June.
    50. Blandina Oliveira & Adelino Fortunato, 2005. "Firm Growth and Persistence of Chance: Evidence from Portuguese Microdata," GEMF Working Papers 2005-10, GEMF, Faculty of Economics, University of Coimbra.
    51. Alex Coad, 2006. "Understanding the processes of firm growth - a closer look at serial growth rate correlation," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00118801, HAL.
    52. Francesca Lotti & Enrico Santarelli & Marco Vivarelli, 2009. "Defending Gibrat’s Law as a long-run regularity," Small Business Economics, Springer, vol. 32(1), pages 31-44, January.
    53. Alex Coad & Werner Hölzl, 2010. "Firm growth: empirical analysis," Papers on Economics and Evolution 2010-02, Philipps University Marburg, Department of Geography.
    54. Marie Bouchard & Damien Rousselière, 2018. "Does Gibrat's law hold among urban social economy enterprises? A research note on Montreal social economy," Economics Bulletin, AccessEcon, vol. 38(3), pages 1523-1540.
    55. Daria Ciriaci & Pietro Moncada-Paternò-Castello & Peter Voigt, 2016. "Innovation and job creation: a sustainable relation?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 189-213, August.
    56. Blandina Oliveira & Adelino Fortunato, 2006. "Testing Gibrat's Law: Empirical Evidence from a Panel of Portuguese Manufacturing Firms," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 13(1), pages 65-81.
    57. Faustino Prieto & Catalina B. Garc'ia-Garc'ia & Rom'an Salmer'on G'omez, 2024. "Modelling Global Fossil CO2 Emissions with a Lognormal Distribution: A Climate Policy Tool," Papers 2403.00653, arXiv.org.
    58. Marco Guerzoni & Luigi Riso & Marco Vivarelli, 2023. "The Law of Proportionate Effect: A test based on the graphical model methodology," Working Papers 514, University of Milano-Bicocca, Department of Economics.
    59. Louri-Dendrinou, Eleni & Fotopoulos, Georgios, 2002. "Corporate Growth and FDI: Are Multinationals Stimulating Local Industrial Development?," CEPR Discussion Papers 3128, C.E.P.R. Discussion Papers.
    60. Almus, Matthias, 2001. "Das Wachstum junger Unternehmen: Eine Bestandsaufnahme 10 Jahre nach der Wiedervereinigung," ZEW Discussion Papers 01-40, ZEW - Leibniz Centre for European Economic Research.
    61. Enrico Santarelli, 2002. "Is subsidizing entry an optimal policy?," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(1), pages 39-52, February.
    62. Nerlinger, Eric A. & Almus, Matthias, 1999. "Zum Zusammenhang zwischen Größe und Wachstum bei Gründungen - Empirische Ergebnisse für West-Deutschland," ZEW Discussion Papers 99-01, ZEW - Leibniz Centre for European Economic Research.
    63. Luis Fernando Lanaspa Santolaria & Irene Olloqui Cuartero & Fernando Sanz Garcia, 2012. "Common Trends and Linkages in the US Manufacturing Sector, 1969–2000," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 36(5), pages 1093-1111, September.
    64. D.B. Audretsch & L. Klomp & E. Santarelli & A.R. Thurik, 2004. "Gibrat's Law: Are the Services Different?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 24(3), pages 301-324, May.
    65. Enock O. Menge & Michael J. Lawes, 2023. "Influence of Landscape Characteristics on Wind Dispersal Efficiency of Calotropis procera," Land, MDPI, vol. 12(3), pages 1-25, February.
    66. Daunfeldt, Sven-Olov & Halvarsson, Daniel, 2012. "Are high-growth firms one-hit wonders? Evidence from Sweden," HUI Working Papers 73, HUI Research.
    67. Stephanie Reitzinger & Astrid Pennerstorfer, 2021. "The size–growth relationship in the social services sector in Austria," Service Business, Springer;Pan-Pacific Business Association, vol. 15(3), pages 445-466, September.
    68. Marco Capasso & Elena Cefis & Alessandro Sapio, 2013. "Reconciling quantile autoregressions of firm size and variance–size scaling," Small Business Economics, Springer, vol. 41(3), pages 609-632, October.
    69. Bartoloni, Eleonora & Baussola, Maurizio & Bagnato, Luca, 2020. "Waiting for Godot? Success or failure of firms’ growth in a panel of Italian manufacturing firms," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 259-275.
    70. Fox, Glenn & Dickson, Ed, 1989. "Farm Growth In The Ontario Dairy Industry: A Skeptical Look At Gibrat'S Law," 1989 Conference, January 7-10, Tucson, Arizona 260170, Regional Research Committe NC-181: Determinants of Farm Size and Structure.
    71. Gao, Baojun & Chan, Wai Kin (Victor) & Li, Hongyi, 2015. "On the increasing inequality in size distribution of China's listed companies," China Economic Review, Elsevier, vol. 36(C), pages 25-41.
    72. Erhardt, Eva Christine, 2018. "Firm performance after high growth: A comparison of absolute and relative growth measures," MPRA Paper 88077, University Library of Munich, Germany.
    73. Giulio Bottazzi & Angelo Secchi & Federico Tamagni, 2008. "Productivity, profitability and financial performance," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(4), pages 711-751, August.
    74. Francesca Lotti & Marco Vivarelli & Enrico Santarelli, 2004. "Gibrat's Law and Market Selection," Papers on Entrepreneurship, Growth and Public Policy 2004-28, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
    75. Peter Hart & Robert Pearce, 1986. "Growth patterns of the world’s largest firms, 1962–1982," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 122(1), pages 65-79, March.
    76. Enrique Benito, 2008. "Size, growth and bank dynamics," Working Papers 0801, Banco de España.
    77. Robert Petrunia, 2008. "Does Gibrat’s Law Hold? Evidence from Canadian Retail and Manufacturing Firms," Small Business Economics, Springer, vol. 30(2), pages 201-214, February.
    78. Daria Ciriaci & Pietro Moncada-Paternò-Castello & Peter Voigt, 2012. "Does size or age of innovative firms affect their growth persistence? -Evidence from a panel of innovative Spanish firms-," JRC Working Papers on Corporate R&D and Innovation 2012-03, Joint Research Centre.
    79. Bentzen Jan & Tung Le Thanh, 2023. "Does firm size improve firm growth? Empirical evidence from an emerging economy," Economics and Business Review, Sciendo, vol. 9(3), pages 9-21, October.
    80. Buckley, Peter J. & Elia, Stefano & Kafouros, Mario, 2014. "Acquisitions by emerging market multinationals: Implications for firm performance," Journal of World Business, Elsevier, vol. 49(4), pages 611-632.
    81. Lajos Zoltán Bakucs & Imre Fertő, 2009. "The growth of family farms in Hungary," Agricultural Economics, International Association of Agricultural Economists, vol. 40(s1), pages 789-795, November.
    82. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2013. "The common component of firm growth," Structural Change and Economic Dynamics, Elsevier, vol. 26(C), pages 73-82.
    83. Domínguez Jurado, José Miguel & Triguero-Ruiz, Francisco & Avila-Cano, Antonio, 2021. "Firm growth in the 21st century: Does the Andalusian economy comply with Gibrat’s Law?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 577(C).
    84. Colombelli, Alessandra & Haned, Naciba & Le Bas, Christian, 2013. "On firm growth and innovation: Some new empirical perspectives using French CIS (1992–2004)," Structural Change and Economic Dynamics, Elsevier, vol. 26(C), pages 14-26.
    85. John Sutherland Earle & Almos Telegdy, 2011. "Who Creates Jobs in Hungary? The Role of Entering, Exiting and Continuing Firms Before and During the Crisis," Budapest Working Papers on the Labour Market 1108, Institute of Economics, Centre for Economic and Regional Studies.
    86. F. Lotti & E. Santarelli & M. Vivarelli, 2003. "Gibrat's Law and Market Selection in the Radio, TV & Telecommunications Equipment Industry," Working Papers 478, Dipartimento Scienze Economiche, Universita' di Bologna.
    87. R. Piergiovanni & E. Santarelli & L. Klomp & A.R. Thurik, 2002. "Gibrat's Law and the Firm Size / Firm Growth Relationship in Italian Services," Tinbergen Institute Discussion Papers 02-080/3, Tinbergen Institute.
    88. Bhattacharyya, Surajit & Saxena, Arunima, 2009. "Does the Firm Size Matter? An Empirical Enquiry into the Performance of Indian Manufacturing Firms," MPRA Paper 13029, University Library of Munich, Germany.
    89. Marco Modica, 2014. "Does the EU have homogeneous urban structure area? The role of agglomeration and the impact of shocks on urban structure," ERSA conference papers ersa14p229, European Regional Science Association.
    90. Byeongyong Paul Choi, 2010. "The U.S. Property and Liability Insurance Industry: Firm Growth, Size, and Age," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 13(2), pages 207-224, September.
    91. Huynh, Kim P. & Petrunia, Robert J., 2010. "Age effects, leverage and firm growth," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 1003-1013, May.
    92. Audretsch, David B. & Santarelli, Enrico & Vivarelli, Marco, 1999. "Start-up size and industrial dynamics: some evidence from Italian manufacturing," International Journal of Industrial Organization, Elsevier, vol. 17(7), pages 965-983, October.
    93. Sherzod B. Akhundjanov & Tatiana Drugova, 2022. "On the growth process of US agricultural land," Empirical Economics, Springer, vol. 63(3), pages 1727-1740, September.
    94. Giovanni Dosi & Marco Grazzi, 2006. "Technologies as problem-solving procedures and technologies as input--output relations: some perspectives on the theory of production," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 15(1), pages 173-202, February.
    95. Christos Axioglou & Nicos Christodoulakis, 2021. "Which firms survive in a crisis? Investigating Gibrat’s Law in Greece 2001–2014," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(2), pages 159-217, June.
    96. Drugova, Tatiana & Akhundjanov, Sherzod B., 2020. "Growth Process of US Agricultural Land Size: Testing the Law of Proportionate Effect," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304250, Agricultural and Applied Economics Association.
    97. Goddard, John A. & McKillop, Donal G. & Wilson, John O. S., 2002. "The growth of US credit unions," Journal of Banking & Finance, Elsevier, vol. 26(12), pages 2327-2356.

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