New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators
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- John W. Budd & Brian P. McCall, 2001.
"The Grocery Stores Wage Distribution: A Semi-Parametric Analysis of the Role of Retailing and Labor Market Institutions,"
ILR Review, Cornell University, ILR School, vol. 54(2A), pages 484-501, March.
- Budd, John W. & McCall, Brian P., 1999. "The Grocery Stores' Wage Distribution: A Semi-Parametric Analysis Of The Role Of Retailing And Labor Market Institutions," Working Papers 14347, University of Minnesota, The Food Industry Center.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003.
"Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score,"
Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
- Guido Imbens, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometric Society World Congress 2000 Contributed Papers 1166, Econometric Society.
- Oaxaca, Ronald, 1973.
"Male-Female Wage Differentials in Urban Labor Markets,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
- Ronald L Oaxaca, 1971. "Male-Female Wage Differentials in Urban Labor Markets," Working Papers 396, Princeton University, Department of Economics, Industrial Relations Section..
- Newey, Whitney K, 1990. "Semiparametric Efficiency Bounds," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(2), pages 99-135, April-Jun.
- repec:bla:obuest:v:60:y:1998:i:4:p:509-28:a is not listed on IDEAS
- Brian D. Bell & Michael K. Pitt, 1998. "Trade Union Decline and the Distribution of Wages in the UK: Evidence from Kernel Density Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(4), pages 509-528, November.
- 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.
- Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
- Guido W. Imbens, 2004.
"Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review,"
The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
- Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
- Martin Biewen, 2001. "Measuring the Effects of Socio-Economic Variables on the Income Distribution: An Application to the East German Transition Process," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 185-190, February.
- Dehejia, Rajeev H., 2005.
"Program evaluation as a decision problem,"
Journal of Econometrics, Elsevier, vol. 125(1-2), pages 141-173.
- Rajeev Dehejia, 1999. "Program Evaluation as a Decision Problem," NBER Working Papers 6954, National Bureau of Economic Research, Inc.
- Justin McCrary, 2007. "The Effect of Court-Ordered Hiring Quotas on the Composition and Quality of Police," American Economic Review, American Economic Association, vol. 97(1), pages 318-353, March.
- Bell, Brian D & Pitt, Michael K, 1998. "Trade Union Decline and the Distribution of Wages in the UK: Evidence from Kernel Density Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(4), pages 509-528, November.
- James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
- Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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More about this item
Keywords
semiparametric efficiency; propensity score; treatment effects;All these keywords.
JEL classification:
- 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
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2009-02-28 (Econometrics)
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