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Sensitivity of propensity score methods to the specifications

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Author Info
Zhao, Zhong

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Abstract

In this paper, we study sensitive of propensity score methods to the specifications through Monte Carlo experiments. We find that the estimated treatment effects on the treated are not sensitive to the specifications if the unconfoundedness assumption holds. When the unconfoundedness assumption fails, the matching results can be sensitive.

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File URL: http://www.sciencedirect.com/science/article/B6V84-4NR1878-1/1/f984832f8ef940a6eebf839157198b37
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Publisher Info
Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 98 (2008)
Issue (Month): 3 (March)
Pages: 309-319
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Handle: RePEc:eee:ecolet:v:98:y:2008:i:3:p:309-319

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Guido W. Imbens, 1999. "The Role of the Propensity Score in Estimating Dose-Response Functions," NBER Technical Working Papers 0237, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Ruud, Paul A., 1986. "Consistent estimation of limited dependent variable models despite misspecification of distribution," Journal of Econometrics, Elsevier, vol. 32(1), pages 157-187, June. [Downloadable!] (restricted)
  3. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, 08. [Downloadable!] (restricted)
    Other versions:
  4. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January. [Downloadable!] (restricted)
  5. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
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  6. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-20, September. [Downloadable!] (restricted)
  7. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects and Econometric Policy Evaluation," NBER Working Papers 11259, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  8. 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, 07. [Downloadable!] (restricted)
    Other versions:
  9. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, 08. [Downloadable!] (restricted)
  10. Goldberger, Arthur S., 1981. "Linear regression after selection," Journal of Econometrics, Elsevier, vol. 15(3), pages 357-366, April. [Downloadable!] (restricted)
  11. Guildo W. Imbens, 2003. "Sensitivity to Exogeneity Assumptions in Program Evaluation," American Economic Review, American Economic Association, vol. 93(2), pages 126-132, May. [Downloadable!]
  12. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Blackwell Publishing, vol. 64(4), pages 605-54, October. [Downloadable!] (restricted)
  13. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353. [Downloadable!] (restricted)
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  14. David I. Levine & Gary Painter, 2003. "The Schooling Costs of Teenage Out-of-Wedlock Childbearing: Analysis with a Within-School Propensity-Score-Matching Estimator," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 884-900, 06. [Downloadable!] (restricted)
  15. Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  16. Chung, Ching-Fan & Goldberger, Arthur S, 1984. "Proportional Projections in Limited Dependent Variable Models," Econometrica, Econometric Society, vol. 52(2), pages 531-34, March. [Downloadable!] (restricted)
  17. Joshua D. Angrist, 1998. "Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants," Econometrica, Econometric Society, vol. 66(2), pages 249-288, March.
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  18. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364. [Downloadable!] (restricted)
  19. Ruud, Paul A, 1983. "Sufficient Conditions for the Consistency of Maximum Likelihood Estimation Despite Misspecifications of Distribution in Multinomial Discrete Choice Models," Econometrica, Econometric Society, vol. 51(1), pages 225-28, January. [Downloadable!] (restricted)
  20. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  21. 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, 06. [Downloadable!] (restricted)
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  22. Carolyn J. Heinrich & Peter R. Mueser & Kenneth R. Troske, 2005. "Welfare to Temporary Work: Implications for Labor Market Outcomes," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 154-173, December. [Downloadable!] (restricted)
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  23. 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.
  24. Markus Frölich, 2004. "Finite-Sample Properties of Propensity-Score Matching and Weighting Estimators," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 77-90, 07. [Downloadable!] (restricted)
  25. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2006. "Using State Administrative Data to Measure Program Performance," Working Papers 0702, Department of Economics, University of Missouri. [Downloadable!]
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Daniel Millimet & Rusty Tchernis, 2006. "On the Specification of Propensity Scores: with an Application to the WTO-Environment Debate," Caepr Working Papers 2006-013, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington. [Downloadable!]
  2. Arpino, Bruno & Mealli, Fabrizia, 2008. "The specification of the propensity score in multilevel observational studies," MPRA Paper 17407, University Library of Munich, Germany. [Downloadable!]
  3. Michael Lechner & Blaise Melly, 2007. "Earnings Effects of Training Programs," University of St. Gallen Department of Economics working paper series 2007 2007-28, Department of Economics, University of St. Gallen. [Downloadable!]
    Other versions:
  4. Janet Currie & Erdal Tekin, 2006. "Does Child Abuse Cause Crime?," NBER Working Papers 12171, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
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