Equivalent models for observables under the assumption of missing at random
Author
Abstract
Suggested Citation
DOI: 10.1016/j.ecosta.2020.03.002
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- MacKinnon, James G & Magee, Lonnie, 1990. "Transforming the Dependent Variable in Regression Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 31(2), pages 315-339, May.
- Ai, Chunrong & Chen, Xiaohong, 2012.
"The semiparametric efficiency bound for models of sequential moment restrictions containing unknown functions,"
Journal of Econometrics, Elsevier, vol. 170(2), pages 442-457.
- Chunrong Ai & Xiaohong Chen, 2009. "Semiparametric efficiency bound for models of sequential moment restrictions containing unknown functions," CeMMAP working papers CWP28/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chunrong Ai & Xiaohong Chen, 2009. "Semiparametric Efficiency Bound for Models of Sequential Moment Restrictions Containing Unknown Functions," Cowles Foundation Discussion Papers 1731, Cowles Foundation for Research in Economics, Yale University.
- Jeffrey M. Wooldridge, 2002.
"Inverse probability weighted M-estimators for sample selection, attrition, and stratification,"
Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 117-139, August.
- Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition and stratification," CeMMAP working papers CWP11/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hitomi, Kohtaro & Nishiyama, Yoshihiko & Okui, Ryo, 2008. "A Puzzling Phenomenon In Semiparametric Estimation Problems With Infinite-Dimensional Nuisance Parameters," Econometric Theory, Cambridge University Press, vol. 24(6), pages 1717-1728, December.
- Whitney K. Newey, 2004. "Efficient Semiparametric Estimation via Moment Restrictions," Econometrica, Econometric Society, vol. 72(6), pages 1877-1897, November.
- Hristache, Marian & Patilea, Valentin, 2016. "Semiparametric Efficiency Bounds For Conditional Moment Restriction Models With Different Conditioning Variables," Econometric Theory, Cambridge University Press, vol. 32(4), pages 917-946, August.
- Bryan S. Graham, 2011.
"Efficiency Bounds for Missing Data Models With Semiparametric Restrictions,"
Econometrica, Econometric Society, vol. 79(2), pages 437-452, March.
- Bryan S. Graham, 2008. "Efficiency bounds for missing data models with semiparametric restrictions," NBER Working Papers 14376, National Bureau of Economic Research, Inc.
- Yuichi Kitamura & Gautam Tripathi & Hyungtaik Ahn, 2004.
"Empirical Likelihood-Based Inference in Conditional Moment Restriction Models,"
Econometrica, Econometric Society, vol. 72(6), pages 1667-1714, November.
- Yuichi Kitamura & Gautam Tripathi & Hyungtaik Ahn, 2001. "Empirical Likelihood-Based Inference in Conditional Moment Restriction Models," CIRJE F-Series CIRJE-F-124, CIRJE, Faculty of Economics, University of Tokyo.
- Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K., 2009. "Choosing instrumental variables in conditional moment restriction models," Journal of Econometrics, Elsevier, vol. 152(1), pages 28-36, September.
- Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012.
"Inverse Probability Tilting for Moment Condition Models with Missing Data,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
- Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2008. "Inverse Probability Tilting for Moment Condition Models with Missing Data," NBER Working Papers 13981, National Bureau of Economic Research, Inc.
- Lavergne, Pascal & Patilea, Valentin, 2013.
"Smooth minimum distance estimation and testing with conditional estimating equations: Uniform in bandwidth theory,"
Journal of Econometrics, Elsevier, vol. 177(1), pages 47-59.
- Lavergne, Pascal & Patilea, Valentin, 2013. "Smooth Minimum Distance Estimation and Testing with Conditional Estimating Equations: Uniform in Bandwidth Theory," TSE Working Papers 13-404, Toulouse School of Economics (TSE).
- Prokhorov, Artem & Schmidt, Peter, 2009.
"GMM redundancy results for general missing data problems,"
Journal of Econometrics, Elsevier, vol. 151(1), pages 47-55, July.
- Artem Prokhorov & Peter Schmidt, 2008. "GMM Redundancy Results for General Missing Data Problems," Working Papers 08003, Concordia University, Department of Economics.
- Chunrong Ai & Xiaohong Chen, 2003. "Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions," Econometrica, Econometric Society, vol. 71(6), pages 1795-1843, November.
- M. Hristache & V. Patilea, 2017. "Conditional moment models with data missing at random," Biometrika, Biometrika Trust, vol. 104(3), pages 735-742.
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.- Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
- Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
- M. Hristache & V. Patilea, 2017. "Conditional moment models with data missing at random," Biometrika, Biometrika Trust, vol. 104(3), pages 735-742.
- Sant’Anna, Pedro H.C. & Zhao, Jun, 2020.
"Doubly robust difference-in-differences estimators,"
Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
- Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
- Graham, Bryan S. & Pinto, Cristine Campos de Xavier, 2022.
"Semiparametrically efficient estimation of the average linear regression function,"
Journal of Econometrics, Elsevier, vol. 226(1), pages 115-138.
- Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically Efficient Estimation of the Average Linear Regression Function," NBER Working Papers 25234, National Bureau of Economic Research, Inc.
- Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," CeMMAP working papers CWP62/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," Papers 1810.12511, arXiv.org.
- Ai, Chunrong & Chen, Xiaohong, 2012.
"The semiparametric efficiency bound for models of sequential moment restrictions containing unknown functions,"
Journal of Econometrics, Elsevier, vol. 170(2), pages 442-457.
- Chunrong Ai & Xiaohong Chen, 2009. "Semiparametric Efficiency Bound for Models of Sequential Moment Restrictions Containing Unknown Functions," Cowles Foundation Discussion Papers 1731, Cowles Foundation for Research in Economics, Yale University.
- Chunrong Ai & Xiaohong Chen, 2009. "Semiparametric efficiency bound for models of sequential moment restrictions containing unknown functions," CeMMAP working papers CWP28/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Callaway, Brantly & Sant’Anna, Pedro H.C., 2021.
"Difference-in-Differences with multiple time periods,"
Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
- Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods," Papers 1803.09015, arXiv.org, revised Dec 2020.
- Daniel Becker & Alois Kneip & Valentin Patilea, 2021. "Semiparametric inference for partially linear regressions with Box-Cox transformation," Papers 2106.10723, arXiv.org.
- Chen, Xiaohong & Pouzo, Demian & Powell, James L., 2019.
"Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions,"
Journal of Econometrics, Elsevier, vol. 213(1), pages 30-53.
- Xiaohong Chen & Demian Pouzo & James L. Powell, 2019. "Penalized Sieve GEL for Weighted Average Derivatives of Nonparametric Quantile IV Regressions," Papers 1902.10100, arXiv.org.
- Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
- Komunjer, Ivana & Vuong, Quang, 2010. "Efficient estimation in dynamic conditional quantile models," Journal of Econometrics, Elsevier, vol. 157(2), pages 272-285, August.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2022.
"Locally Robust Semiparametric Estimation,"
Econometrica, Econometric Society, vol. 90(4), pages 1501-1535, July.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey, 2016. "Locally robust semiparametric estimation," CeMMAP working papers CWP31/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2016. "Locally Robust Semiparametric Estimation," Papers 1608.00033, arXiv.org, revised Aug 2020.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2018. "Locally robust semiparametric estimation," CeMMAP working papers CWP30/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey, 2016. "Locally robust semiparametric estimation," CeMMAP working papers 31/16, Institute for Fiscal Studies.
- Berger, Yves G. & Patilea, Valentin, 2022. "A semi-parametric empirical likelihood approach for conditional estimating equations under endogenous selection," Econometrics and Statistics, Elsevier, vol. 24(C), pages 151-163.
- Kyoo il Kim, 2019. "Efficiency of Average Treatment Effect Estimation When the True Propensity Is Parametric," Econometrics, MDPI, vol. 7(2), pages 1-13, May.
- Timo Dimitriadis & Tobias Fissler & Johanna Ziegel, 2020. "The Efficiency Gap," Papers 2010.14146, arXiv.org, revised Sep 2022.
- Hansen, Lars Peter, 2013.
"Uncertainty Outside and Inside Economic Models,"
Nobel Prize in Economics documents
2013-7, Nobel Prize Committee.
- Lars Peter Hansen, 2014. "Uncertainty Outside and Inside Economic Models," Working Papers 2014-06, Becker Friedman Institute for Research In Economics.
- Lars Peter Hansen, 2014. "Uncertainty Outside and Inside Economic Models," NBER Working Papers 20394, National Bureau of Economic Research, Inc.
- Xiaohong Chen & Andres Santos, 2018.
"Overidentification in Regular Models,"
Econometrica, Econometric Society, vol. 86(5), pages 1771-1817, September.
- Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
- Peñaranda, Francisco & Sentana, Enrique, 2016.
"Duality in mean-variance frontiers with conditioning information,"
Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 762-785.
- Francisco Peñaranda & Enrique Sentana, 2007. "Duality in Mean-Variance Frontiers with Conditioning Information," Working Papers wp2007_0715, CEMFI.
- Sentana, Enrique & Peñaranda, Francisco, 2007. "Duality in Mean-Variance Frontiers with Conditioning Information," CEPR Discussion Papers 6566, C.E.P.R. Discussion Papers.
- Francisco Peñaranda & Enrique Sentana, 2007. "Duality in mean-variance frontiers with conditioning information," Economics Working Papers 1058, Department of Economics and Business, Universitat Pompeu Fabra.
- Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022.
"Covariate distribution balance via propensity scores,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
- Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2018. "Covariate Distribution Balance via Propensity Scores," Papers 1810.01370, arXiv.org, revised Apr 2020.
- Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2021.
"A unified framework for efficient estimation of general treatment models,"
Quantitative Economics, Econometric Society, vol. 12(3), pages 779-816, July.
- Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2018. "A Unified Framework for Efficient Estimation of General Treatment Models," Papers 1808.04936, arXiv.org, revised Aug 2018.
- Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," CeMMAP working papers CWP64/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ai, C. & Linton, O. & Motegi, K. & Zhang, Z., 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," Cambridge Working Papers in Economics 1934, Faculty of Economics, University of Cambridge.
More about this item
Keywords
Double-robustness; Efficiency bounds; Inverse probability weighting; Moment restrictions models; Semiparametric regression;All these keywords.
Statistics
Access and download statisticsCorrections
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:eee:ecosta:v:20:y:2021:i:c:p:153-165. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/econometrics-and-statistics .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.