Efficiency bounds for missing data models with semiparametric restrictions
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- Bryan S. Graham, 2011. "Efficiency Bounds for Missing Data Models With Semiparametric Restrictions," Econometrica, Econometric Society, vol. 79(2), pages 437-452, March.
References listed on IDEAS
- Jinyong Hahn, 1998. "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects," Econometrica, Econometric Society, vol. 66(2), pages 315-332, March.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Saraswata Chaudhuriy & David T. Frazierz & Éric Renault, 2016. "Indirect Inference with Endogenously Missing Exogenous Variables," CIRANO Working Papers 2016s-15, CIRANO.
- Bryan S. Graham & Guido Imbens & Geert Ridder, 2016.
"Identification and efficiency bounds for the average match function under conditionally exogenous matching,"
CeMMAP working papers
CWP10/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
- Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2016.
"Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST),"
Journal of Business & Economic Statistics,
Taylor & Francis Journals, vol. 34(2), pages 288-301, April.
- Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2011. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," NBER Working Papers 16928, National Bureau of Economic Research, Inc.
- Ying-Ying Lee, 2015. "Efficient propensity score regression estimators of multi-valued treatment effects for the treated," Economics Series Working Papers 738, University of Oxford, Department of Economics.
- Thomas MaCurdy & Xiaohong Chen & Han Hong, 2011. "Flexible Estimation of Treatment Effect Parameters," American Economic Review, American Economic Association, vol. 101(3), pages 544-551, May.
- repec:oup:biomet:v:104:y:2017:i:3:p:735-742. is not listed on IDEAS
More about this item
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
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