Sharp Bounds in the Binary Roy Model
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- Marc Henry & Ismael Mourifie, 2014. "Sharp Bounds in the Binary Roy Model," Working Papers tecipa-506, University of Toronto, Department of Economics.
- Marc Henry & Ismael Mourifié, 2012. "Sharp Bounds in the Binary Roy Model," CIRANO Working Papers 2012s-06, CIRANO.
References listed on IDEAS
- James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 487-535.
- repec:hal:spmain:info:hdl:2441/5rkqqmvrn4tl22s9mc4ao8ocg is not listed on IDEAS
- Heckman, James J & Honore, Bo E, 1990. "The Empirical Content of the Roy Model," Econometrica, Econometric Society, vol. 58(5), pages 1121-1149, September.
- Donald W. K. Andrews & Xiaoxia Shi, 2013.
"Inference Based on Conditional Moment Inequalities,"
Econometrica, Econometric Society, vol. 81(2), pages 609-666, March.
- Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
- Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2011.
- Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761, Cowles Foundation for Research in Economics, Yale University.
- Flavio Cunha & James Heckman & Salvador Navarro, 2005.
"Separating uncertainty from heterogeneity in life cycle earnings,"
Oxford Economic Papers, Oxford University Press, vol. 57(2), pages 191-261, April.
- Cunha, Flavio & Heckman, James J. & Navarro, Salvador, 2004. "Separating Uncertainty from Heterogeneity in Life Cycle Earnings," IZA Discussion Papers 1437, Institute of Labor Economics (IZA).
- Cunha, Flavio & Heckman, James & Navarro, Salvador, 2004. "Separating uncertainty from heterogeneity in life cycle earnings," Working Paper Series 2005:6, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Flavio Cunha & James J. Heckman & Salvador Navarro, 2005. "Separating Uncertainty from Heterogeneity in Life Cycle Earnings," NBER Working Papers 11024, National Bureau of Economic Research, Inc.
- Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
- repec:cwl:cwldpp:1840rr is not listed on IDEAS
- repec:hal:wpspec:info:hdl:2441/5rkqqmvrn4tl22s9mc4ao8ocg is not listed on IDEAS
- 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.
- 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.
- 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.
- D’Haultfœuille, Xavier & Maurel, Arnaud, 2013.
"Inference on an extended Roy model, with an application to schooling decisions in France,"
Journal of Econometrics, Elsevier, vol. 174(2), pages 95-106.
- Arnaud Maurel & Xavier D'Haultfoeuille, 2011. "Inference on an Extended Roy Model, with an Application to Schooling Decisions in France," Working Papers 11-10, Duke University, Department of Economics.
- Andrew Chesher, 2010.
"Instrumental Variable Models for Discrete Outcomes,"
Econometrica, Econometric Society, vol. 78(2), pages 575-601, March.
- Andrew Chesher, 2008. "Instrumental variable models for discrete outcomes," CeMMAP working papers CWP30/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jay Bhattacharya & Azeem M. Shaikh & Edward Vytlacil, 2008. "Treatment Effect Bounds under Monotonicity Assumptions: An Application to Swan-Ganz Catheterization," American Economic Review, American Economic Association, vol. 98(2), pages 351-356, May.
- Patrick Bayer & Shakeeb Khan & Christopher Timmins, 2011.
"Nonparametric Identification and Estimation in a Roy Model With Common Nonpecuniary Returns,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 201-215, April.
- Bayer, Patrick & Khan, Shakeeb & Timmins, Christopher, 2011. "Nonparametric Identification and Estimation in a Roy Model With Common Nonpecuniary Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 201-215.
- Andrews, Donald W.K. & Shi, Xiaoxia, 2014.
"Nonparametric inference based on conditional moment inequalities,"
Journal of Econometrics, Elsevier, vol. 179(1), pages 31-45.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2013.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R2, Cowles Foundation for Research in Economics, Yale University, revised Oct 2013.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840, Cowles Foundation for Research in Economics, Yale University.
- A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
- Bhattacharya, Jay & Shaikh, Azeem M. & Vytlacil, Edward, 2012.
"Treatment effect bounds: An application to Swan–Ganz catheterization,"
Journal of Econometrics, Elsevier, vol. 168(2), pages 223-243.
- Jay Bhattacharya & Azeem Shaikh & Edward Vytlacil, 2005. "Treatment Effect Bounds: An Application to Swan-Ganz Catheterization," NBER Working Papers 11263, National Bureau of Economic Research, Inc.
- Azeem M. Shaikh & Edward J. Vytlacil, 2011. "Partial Identification in Triangular Systems of Equations With Binary Dependent Variables," Econometrica, Econometric Society, vol. 79(3), pages 949-955, May.
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2008. "Using Selection on Observed Variables to Assess Bias from Unobservables When Evaluating Swan-Ganz Catheterization," American Economic Review, American Economic Association, vol. 98(2), pages 345-350, May.
- Qi Li & Jeffrey S. Racine & Jeffrey M. Wooldridge, 2008. "Estimating Average Treatment Effects with Continuous and Discrete Covariates: The Case of Swan-Ganz Catheterization," American Economic Review, American Economic Association, vol. 98(2), pages 357-362, May.
- Alfred Galichon & Marc Henry, 2011.
"Set Identification in Models with Multiple Equilibria,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(4), pages 1264-1298.
- Alfred Galichon & Marc Henry, 2011. "Set identification in models with multiple equilibria," Post-Print hal-03415508, HAL.
- Alfred Galichon & Marc Henry, 2021. "Set Identification in Models with Multiple Equilibria," Papers 2102.12249, arXiv.org.
- Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
- Toru Kitagawa, 2009. "Identification region of the potential outcome distributions under instrument independence," CeMMAP working papers CWP30/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2008. "Sharp identification regions in games," CeMMAP working papers CWP15/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Aakvik, Arild & Heckman, James J. & Vytlacil, Edward J., 2005. "Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 15-51.
- Edward Vytlacil, 2002. "Independence, Monotonicity, and Latent Index Models: An Equivalence Result," Econometrica, Econometric Society, vol. 70(1), pages 331-341, January.
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Cited by:
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"Testing Local Average Treatment Effect Assumptions,"
The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 305-313, May.
- Ismael Mourifie & Yuanyuan Wan, 2014. "Testing Local Average Treatment Effect Assumptions," Working Papers tecipa-514, University of Toronto, Department of Economics.
- Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
- Laurent Gobillon & Carine Milcent, 2016.
"Evaluating the Effect of Ownership Status on Hospital Quality: The Key Role of Innovative Procedures,"
Annals of Economics and Statistics, GENES, issue 121-122, pages 161-186.
- Gobillon, Laurent & Milcent, Carine, 2012. "Evaluating the Effect of Ownership Status on Hospital Quality: The Key Role of Innovative Procedures," IZA Discussion Papers 7082, Institute of Labor Economics (IZA).
- Laurent Gobillon & Carine Milcent, 2016. "Evaluating the Effect of Ownership Status on Hospital Quality: The Key Role of Innovative Procedures," Post-Print halshs-01509624, HAL.
- Gobillon, Laurent & Milcent, Carine, 2013. "Evaluating the effect of ownership status on hospital quality: the key role of innovative procedures," CEPR Discussion Papers 9272, C.E.P.R. Discussion Papers.
- Laurent Gobillon & Carine Milcent, 2016. "Evaluating the Effect of Ownership Status on Hospital Quality: The Key Role of Innovative Procedures," PSE-Ecole d'économie de Paris (Postprint) halshs-01509624, HAL.
- Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
- Andrews, Donald W.K. & Shi, Xiaoxia, 2014.
"Nonparametric inference based on conditional moment inequalities,"
Journal of Econometrics, Elsevier, vol. 179(1), pages 31-45.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2013.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840, Cowles Foundation for Research in Economics, Yale University.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R2, Cowles Foundation for Research in Economics, Yale University, revised Oct 2013.
- Sung Jae Jun & Yoonseok Lee & Youngki Shin, 2016.
"Treatment Effects With Unobserved Heterogeneity: A Set Identification Approach,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 302-311, April.
- Yoonseok Lee & Sung Jae Jun & Youngki Shin, 2014. "Treatment Effects with Unobserved Heterogeneity: A Set Identification Approach," Center for Policy Research Working Papers 169, Center for Policy Research, Maxwell School, Syracuse University.
- Lee, Ji Hyung & Park, Byoung G., 2023. "Nonparametric identification and estimation of the extended Roy model," Journal of Econometrics, Elsevier, vol. 235(2), pages 1087-1113.
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More about this item
JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2012-02-01 (Econometrics)
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