Partial Identification in Moment Models with Incomplete Data--A Conditional Optimal Transport Approach
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Arie Beresteanu & Francesca Molinari, 2008.
"Asymptotic Properties for a Class of Partially Identified Models,"
Econometrica, Econometric Society, vol. 76(4), pages 763-814, July.
- Beresteanu, Arie & Molinari, Francesca, 2006. "Asymptotic Properties for a Class of Partially Identified Models," Working Papers 06-04, Duke University, Department of Economics.
- Arie Beresteanu & Francesca Molinari, 2006. "Asymptotic properties for a class of partially identified models," CeMMAP working papers CWP10/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Beresteanu, Arie & Molinari, Francesca, 2006. "Asymptotic Properties for a Class of Partially Identified Models," Working Papers 06-07, Cornell University, Center for Analytic Economics.
- Nathan Kallus & Xiaojie Mao & Angela Zhou, 2022. "Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination," Management Science, INFORMS, vol. 68(3), pages 1959-1981, March.
- Bei, Xinyue, 2024. "Local linearization based subvector inference in moment inequality models," Journal of Econometrics, Elsevier, vol. 238(1).
- Yanqin Fan & Carlos A. Manzanares, 2017. "Partial identification of average treatment effects on the treated through difference-in-differences," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 1057-1080, October.
- Kaido, Hiroaki, 2016. "A dual approach to inference for partially identified econometric models," Journal of Econometrics, Elsevier, vol. 192(1), pages 269-290.
- 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.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Ertian Chen, 2025. "Robust Structural Estimation under Misspecified Latent-State Dynamics," Papers 2510.22347, arXiv.org, revised Nov 2025.
- Romuald Meango & Marc Henry & Ismael Mourifie, 2025. "Combining stated and revealed preferences," Papers 2507.13552, arXiv.org, revised Nov 2025.
- D'Haultfoeuille, Xavier & Gaillac, Christophe & Maurel, Arnaud, 2025. "Linear Regressions with Combined Data," IZA Discussion Papers 18276, Institute of Labor Economics (IZA).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- 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.
- 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," CeMMAP working papers CWP02/16, Centre for Microdata Methods and Practice, 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. "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, 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.
- Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers 23/18, Institute for Fiscal Studies.
- Raffaella Giacomini & Toru Kitagawa, 2021.
"Robust Bayesian Inference for Set‐Identified Models,"
Econometrica, Econometric Society, vol. 89(4), pages 1519-1556, July.
- Raffaella Giacomini & Toru Kitagawa, 2018. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Raffaella Giacomini & Toru Kitagawa, 2020. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP12/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Molinari, Francesca, 2020.
"Microeconometrics with partial identification,"
Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 355-486,
Elsevier.
- Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
- Arun G. Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2019.
"Best Linear Approximations to Set Identified Functions: With an Application to the Gender Wage Gap,"
NBER Working Papers
25593, National Bureau of Economic Research, Inc.
- Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2019. "Best linear approximations to set identified functions: with an application to the gender wage gap," CeMMAP working papers CWP09/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2019. "Best linear approximations to set identified functions: with an application to the gender wage gap," CeMMAP working papers 09/19, Institute for Fiscal Studies.
- Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers CWP23/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yuan Liao & Anna Simoni, 2012.
"Semi-parametric Bayesian Partially Identified Models based on Support Function,"
Papers
1212.3267, arXiv.org, revised Nov 2013.
- Liao, Yuan & Simoni, Anna, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," MPRA Paper 43262, University Library of Munich, Germany.
- 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.
- 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.
- Madeira, João & Palma, Nuno, 2018.
"Measuring monetary policy deviations from the Taylor rule,"
Economics Letters, Elsevier, vol. 168(C), pages 25-27.
- Palma, Nuno & Madeira, João, 2018. "Measuring monetary policy deviations from the Taylor rule," CEPR Discussion Papers 12553, C.E.P.R. Discussion Papers.
- João Madeira & Nuno Palma, 2018. "Measuring Monetary Policy Deviations from the Taylor Rule," Economics Discussion Paper Series 1803, Economics, The University of Manchester.
- Ivan A. Canay & Azeem M. Shaikh, 2016.
"Practical and theoretical advances in inference for partially identified models,"
CeMMAP working papers
05/16, Institute for Fiscal Studies.
- 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.
- Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2012.
"Inference for best linear approximations to set identified functions,"
CeMMAP working papers
43/12, Institute for Fiscal Studies.
- Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2012. "Inference for best linear approximations to set identified functions," CeMMAP working papers CWP43/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.
- Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Nicky L. Grant & Richard J. Smith, 2018. "GEL-Based Inference from Unconditional Moment Inequality Restrictions," Economics Discussion Paper Series 1802, Economics, The University of Manchester.
- Andrew Chesher & Adam Rosen, 2015.
"Characterizations of identified sets delivered by structural econometric models,"
CeMMAP working papers
CWP63/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- 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.
- Andrew Chesher & Adam Rosen, 2016. "Characterizations of identified sets delivered by structural econometric models," CeMMAP working papers 44/16, Institute for Fiscal Studies.
- Andrew Chesher & Adam Rosen, 2015. "Characterizations of identified sets delivered by structural econometric models," CeMMAP working papers 63/15, Institute for Fiscal Studies.
- 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.
- Aguiar, Victor H. & Kashaev, Nail & Allen, Roy, 2023.
"Prices, profits, proxies, and production,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 666-693.
- Victor H. Aguiar & Nail Kashaev & Roy Allen, 2018. "Prices, Profits, Proxies, and Production," Papers 1810.04697, arXiv.org, revised Jun 2022.
- Victor H. Aguiar & Nail Kashaev & Roy Allen, 2022. "Prices, Profits, Proxies, and Production," University of Western Ontario, Departmental Research Report Series 20226, University of Western Ontario, Department of Economics.
- Victor H. Aguiar & Roy Allen & Nail Kashaev, 2020. "Prices, Profits, Proxies, and Production," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20202, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
- Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
- Kate Ho & Adam M. Rosen, 2015.
"Partial Identification in Applied Research: Benefits and Challenges,"
NBER Working Papers
21641, National Bureau of Economic Research, Inc.
- Kate Ho & Adam Rosen, 2016. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 45/16, Institute for Fiscal Studies.
- Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers CWP64/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kate Ho & Adam Rosen, 2016. "Partial identification in applied research: benefits and challenges," CeMMAP working papers CWP45/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 64/15, Institute for Fiscal Studies.
- Ho, Kate & Rosen, Adam M., 2015. "Partial Identification in Applied Research: Benefits and Challenges," CEPR Discussion Papers 10883, C.E.P.R. Discussion Papers.
- Karun Adusumilli & Taisuke Otsu, 2017.
"Empirical Likelihood for Random Sets,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1064-1075, July.
- Adusumilli, Karun & Otsu, Taisuke, 2014. "Empirical likelihood for random sets," LSE Research Online Documents on Economics 58064, London School of Economics and Political Science, LSE Library.
- Adusumilli, Karun & Otsu, Taisuke, 2017. "Empirical likelihood for random sets," LSE Research Online Documents on Economics 76770, London School of Economics and Political Science, LSE Library.
- Karun Adusumilli & Taisuke Otsu, 2014. "Empirical Likelihood for Random Sets," STICERD - Econometrics Paper Series 574, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2503.16098. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/arx/papers/2503.16098.html