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The Propensity Score method in public policy evaluation: a survey

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Author Info
Bia, Michela ()

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Abstract

Recently, in the field of causal inference, nonparametric techniques, that use matching procedures based for example on the propensity score (Rosenbaum, Rubin, 1983), have received growing attention. In this paper we focus on propensity score methods, introduced by Rosenbaum and Rubin (1983). The key result underlying this methodology is that, given the ignorability assumption, treatment assignment and the potential outcomes are independent given the propensity score. Much of the work on propensity score analysis has focused on the case where the treatment is binary, but in many cases of interest the treatment takes on more than two values. In this article we examine an extension to the propensity score method, in a setting with a continuous treatment.

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File URL: http://polis.unipmn.it/pubbl/RePEc/uca/ucapdv/bia88.pdf
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Paper provided by Department of Public Policy and Public Choice - POLIS in its series P.O.L.I.S. department's Working Papers with number 79.

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Length: 77 pages
Date of creation: Apr 2007
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Handle: RePEc:uca:ucapdv:79

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  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. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
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  3. Joel Horowitz & George Neumann, 1987. "Semiparametric estimation of employment duration models," Econometric Reviews, Taylor and Francis Journals, vol. 6(1), pages 5-40. [Downloadable!] (restricted)
  4. Daniel HcFadden, 1987. "Semi parametric estimation of employment duration models," Econometric Reviews, Taylor and Francis Journals, vol. 6(2), pages 257-270. [Downloadable!] (restricted)
  5. 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)
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  6. Hausman, Jerry A & Newey, Whitney K, 1995. "Nonparametric Estimation of Exact Consumers Surplus and Deadweight Loss," Econometrica, Econometric Society, vol. 63(6), pages 1445-76, November. [Downloadable!] (restricted)
  7. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Blackwell Publishing, vol. 65(2), pages 261-94, April. [Downloadable!] (restricted)
  8. Susan Athey & Guido W. Imbens, 2002. "Identification and Inference in Nonlinear Difference-In-Differences Models," NBER Technical Working Papers 0280, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  9. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-61, April.
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  10. 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)
  11. 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, 01. [Downloadable!] (restricted)
  12. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November. [Downloadable!]
  13. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  14. Ahn, Hyungtaik & Powell, James L., 1993. "Semiparametric estimation of censored selection models with a nonparametric selection mechanism," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 3-29, July. [Downloadable!] (restricted)
  15. Michael Lechner, 1999. "Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption," IZA Discussion Papers 91, Institute for the Study of Labor (IZA). [Downloadable!]
  16. Lu B. & Zanutto E. & Hornik R. & Rosenbaum P.R., 2001. "Matching With Doses in an Observational Study of a Media Campaign Against Drug Abuse," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1245-1253, December. [Downloadable!] (restricted)
  17. 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.
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