Constraint Qualifications in Partial Identification
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- Kaido, Hiroaki & Molinari, Francesca & Stoye, Jörg, 2022. "Constraint Qualifications In Partial Identification," Econometric Theory, Cambridge University Press, vol. 38(3), pages 596-619, June.
References listed on IDEAS
- Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2019.
"Confidence Intervals for Projections of Partially Identified Parameters,"
Econometrica, Econometric Society, vol. 87(4), pages 1397-1432, July.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confi dence Intervals for Projections of Partially Identi fied Parameters," Boston University - Department of Economics - Working Papers Series wp2016-001, Boston University - Department of Economics.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP02/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 02/16, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP49/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Stoye, Joerg & Kaido, Hiroaki & Molinari, Francesca, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," VfS Annual Conference 2016 (Augsburg): Demographic Change 145485, Verein für Socialpolitik / German Economic Association.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 49/17, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," Papers 1601.00934, arXiv.org, revised Jun 2019.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2019. "Confi dence Intervals for Projections of Partially Identifi ed Parameters," CeMMAP working papers CWP26/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yildiz, Neşe, 2012. "Consistency Of Plug-In Estimators Of Upper Contour And Level Sets," Econometric Theory, Cambridge University Press, vol. 28(2), pages 309-327, April.
- Hiroaki Kaido & Andres Santos, 2014. "Asymptotically Efficient Estimation of Models Defined by Convex Moment Inequalities," Econometrica, Econometric Society, vol. 82(1), pages 387-413, January.
- Kate Ho & Ariel Pakes, 2014.
"Hospital Choices, Hospital Prices, and Financial Incentives to Physicians,"
American Economic Review, American Economic Association, vol. 104(12), pages 3841-3884, December.
- Kate Ho & Ariel Pakes, 2013. "Hospital Choices, Hospital Prices and Financial Incentives to Physicians," NBER Working Papers 19333, National Bureau of Economic Research, Inc.
- Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2017. "Inference for subvectors and other functions of partially identified parameters in moment inequality models," Quantitative Economics, Econometric Society, vol. 8(1), pages 1-38, March.
- Victor Chernozhukov & Han Hong & Elie Tamer, 2007. "Estimation and Confidence Regions for Parameter Sets in Econometric Models," Econometrica, Econometric Society, vol. 75(5), pages 1243-1284, September.
- Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alon Eizenberg, 2014. "Upstream Innovation and Product Variety in the U.S. Home PC Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 1003-1045.
- Ilya S. Molchanov, 1998. "A Limit Theorem for Solutions of Inequalities," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 25(1), pages 235-242, March.
- Donald W. K. Andrews & Gustavo Soares, 2010.
"Inference for Parameters Defined by Moment Inequalities Using Generalized Moment Selection,"
Econometrica, Econometric Society, vol. 78(1), pages 119-157, January.
- Donald W.K. Andrews & Gustavo Soares, 2007. "Inference for Parameters Defined by Moment Inequalities Using Generalized Moment Selection," Cowles Foundation Discussion Papers 1631, Cowles Foundation for Research in Economics, Yale University.
- Bulat Gafarov, 2019. "Simple subvector inference on sharp identified set in affine models," Papers 1904.00111, arXiv.org, revised Jul 2024.
- Canay, Ivan A., 2010. "EL inference for partially identified models: Large deviations optimality and bootstrap validity," Journal of Econometrics, Elsevier, vol. 156(2), pages 408-425, June.
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- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2023.
"Inference for Linear Conditional Moment Inequalities,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(6), pages 2763-2791.
- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," NBER Working Papers 26374, National Bureau of Economic Research, Inc.
- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," Papers 1909.10062, arXiv.org, revised Dec 2022.
- Marcoux, Mathieu & Russell, Thomas M. & Wan, Yuanyuan, 2024.
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- Mathieu Marcoux & Thomas Russell & Yuanyuan Wan, 2023. "A Simple Specification Test for Models with Many Conditional Moment Inequalities," Working Papers tecipa-764, University of Toronto, Department of Economics.
- Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
- Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2019.
"Confidence Intervals for Projections of Partially Identified Parameters,"
Econometrica, Econometric Society, vol. 87(4), pages 1397-1432, July.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," Papers 1601.00934, arXiv.org, revised Jun 2019.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confi dence Intervals for Projections of Partially Identi fied Parameters," Boston University - Department of Economics - Working Papers Series wp2016-001, Boston University - Department of Economics.
- Stoye, Joerg & Kaido, Hiroaki & Molinari, Francesca, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," VfS Annual Conference 2016 (Augsburg): Demographic Change 145485, Verein für Socialpolitik / German Economic Association.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 49/17, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2019. "Confi dence Intervals for Projections of Partially Identifi ed Parameters," CeMMAP working papers CWP26/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP02/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers CWP49/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2016. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 02/16, Institute for Fiscal Studies.
- Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
- Bei, Xinyue, 2024. "Local linearization based subvector inference in moment inequality models," Journal of Econometrics, Elsevier, vol. 238(1).
- Gregory Cox, 2022. "A Generalized Argmax Theorem with Applications," Papers 2209.08793, arXiv.org.
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