An instrumental variable random‐coefficients model for binary outcomes
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- Andrew Chesher & Adam Rosen, 2012. "An instrumental variable random coefficients model for binary outcomes," CeMMAP working papers CWP34/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Andrew Chesher & Adam Rosen, 2012. "An instrumental variable random coefficients model for binary outcomes," CeMMAP working papers 34/12, Institute for Fiscal Studies.
References listed on IDEAS
- Steven T. Berry & Philip A. Haile, 2009.
"Nonparametric Identification of Multinomial Choice Demand Models with Heterogeneous Consumers,"
Cowles Foundation Discussion Papers
1718, Cowles Foundation for Research in Economics, Yale University, revised Mar 2010.
- Steven T. Berry & Philip A. Haile, 2009. "Nonparametric Identification of Multinomial Choice Demand Models with Heterogeneous Consumers," NBER Working Papers 15276, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013.
"Intersection Bounds: Estimation and Inference,"
Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2009. "Intersection Bounds: estimation and inference," CeMMAP working papers CWP19/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2012. "Intersection bounds: estimation and inference," CeMMAP working papers CWP33/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2012. "Intersection bounds: estimation and inference," CeMMAP working papers 33/12, Institute for Fiscal Studies.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2009. "Intersection Bounds: estimation and inference," CeMMAP working papers 19/09, Institute for Fiscal Studies.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2011. "Intersection bounds: estimation and inference," CeMMAP working papers 34/11, Institute for Fiscal Studies.
- Victor Chernozhukov & Sokbae (Simon) Lee & Adam Rosen, 2011. "Intersection bounds: estimation and inference," CeMMAP working papers CWP34/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hausman, Jerry A & Wise, David A, 1978.
"A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences,"
Econometrica, Econometric Society, vol. 46(2), pages 403-426, March.
- J. A. Hausman & D. A. Wise, 1976. "A Conditional Profit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences," Working papers 173, Massachusetts Institute of Technology (MIT), Department of Economics.
- Stefan Hoderlein, 2009.
"Endogenous Semiparametric Binary Choice Models with Heteroscedasticity,"
Boston College Working Papers in Economics
747, Boston College Department of Economics, revised 29 Sep 2014.
- Stefan Hoderlein, 2009. "Endogenous semiparametric binary choice models with heteroscedasticity," CeMMAP working papers CWP34/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2011.
"Sharp Identification Regions in Models With Convex Moment Predictions,"
Econometrica, Econometric Society, vol. 79(6), pages 1785-1821, November.
- Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2010. "Sharp identification regions in models with convex moment predictions," CeMMAP working papers CWP25/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Fox, Jeremy T. & Kim, Kyoo il & Ryan, Stephen P. & Bajari, Patrick, 2012.
"The random coefficients logit model is identified,"
Journal of Econometrics, Elsevier, vol. 166(2), pages 204-212.
- Patrick Bajari & Jeremy Fox & Kyoo il Kim & Stephen P. Ryan, 2009. "The Random Coefficients Logit Model Is Identified," NBER Working Papers 14934, National Bureau of Economic Research, Inc.
- Aviv Nevo, 2011.
"Empirical Models of Consumer Behavior,"
Annual Review of Economics, Annual Reviews, vol. 3(1), pages 51-75, September.
- Aviv Nevo, 2010. "Empirical Models of Consumer Behavior," NBER Working Papers 16511, National Bureau of Economic Research, Inc.
- Eric Gautier & Erwann Le Pennec, 2011.
"Adaptive Estimation in the Nonparametric Random Coefficients Binary Choice Model by Needlet Thresholding,"
Working Papers
2011-20, Center for Research in Economics and Statistics.
- Eric Gautier & Erwan Le Pennec, 2017. "Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding," Working Papers inria-00601274, HAL.
- Gautier, Eric & Le Pennec, Erwan, 2016. "Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding," TSE Working Papers 16-713, Toulouse School of Economics (TSE).
- 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.
- Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995.
"Automobile Prices in Market Equilibrium,"
Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
- Steven Berry & James Levinsohn & Ariel Pakes, 1993. "Automobile Prices in Market Equilibrium: Part I and II," NBER Working Papers 4264, National Bureau of Economic Research, Inc.
- repec:hal:spmain:info:hdl:2441/5rkqqmvrn4tl22s9mc4ao8ocg is not listed on IDEAS
- Eric Gautier & Yuichi Kitamura, 2013.
"Nonparametric Estimation in Random Coefficients Binary Choice Models,"
Econometrica, Econometric Society, vol. 81(2), pages 581-607, March.
- Eric Gautier & Yuichi Kitamura, 2008. "Nonparametric Estimation in Random Coefficients Binary Choice Models," Working Papers 2008-15, Center for Research in Economics and Statistics.
- Eric Gautier & Yuichi Kitamura, 2009. "Nonparametric Estimation in Random Coefficients Binary Choice Models," Cowles Foundation Discussion Papers 1721, Cowles Foundation for Research in Economics, Yale University.
- Eric Gautier & Yuichi Kitamura, 2011. "Nonparametric estimation in random coefficients binary choice models," Working Papers hal-00403939, HAL.
- 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.
- 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 CWP39/11, 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 CWP06/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Daniel L. McFadden, 1976. "Quantal Choice Analysis: A Survey," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 363-390, National Bureau of Economic Research, Inc.
- Ichimura, Hidehiko & Thompson, T. Scott, 1998.
"Maximum likelihood estimation of a binary choice model with random coefficients of unknown distribution,"
Journal of Econometrics, Elsevier, vol. 86(2), pages 269-295, June.
- Ichimura, H. & Thompson, S., 1993. "Maximum Likelihood Estimation of a Binary Choice Model with Random Coefficients of Unknown Distributions," Papers 268, Minnesota - Center for Economic Research.
- Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
- repec:oup:restud:v:78:y::i:4:p:1264-1298 is not listed on IDEAS
- Briesch, Richard A. & Chintagunta, Pradeep K. & Matzkin, Rosa L., 2010. "Nonparametric Discrete Choice Models With Unobserved Heterogeneity," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(2), pages 291-307.
- repec:hal:wpspec:info:hdl:2441/5rkqqmvrn4tl22s9mc4ao8ocg is not listed on IDEAS
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- 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.
- Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
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- 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.
- Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
- Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
- 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.
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More about this item
JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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