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The Information Basis of Matching with Propensity Score

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  • Maasoumi, Esfandiar

    ()
    (SMU)

  • Eren, Ozkan

    (SMU)

Abstract

This paper examines the foundations for comparing individuals and treatment subjects in experimental and other program evaluation contexts. We raise the question of multiattribute "characterization" of individuals both theoretically and statistically. The paper examines the information basis of characterizing individuals and offers alternatives motivated by welfare and decision theories. The proposed method helps place propensity scores and other "matching" proposals in context and reveals their advantages and disadvantages. We do not find the implied theoretical assumptions underlying propensity scores to be attractive or robust. Our proposal does not "solve" the matching problem, but provides bounds on inferences and makes clear the arbitrariness of specific solutions.

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Bibliographic Info

Paper provided by Southern Methodist University, Department of Economics in its series Departmental Working Papers with number 0606.

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Date of creation: Dec 2006
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Handle: RePEc:smu:ecowpa:0606

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Postal: Department of Economics, P.O. Box 750496, Southern Methodist University, Dallas, TX 75275-0496
Phone: 214-768-2715
Fax: 214-768-1821
Web page: http://www.smu.edu/economics

Related research

Keywords: treatment effect; information theory; multivariate scaling; propensity scores; utility functions; fundamentalism; Kullback-Leibler; entropy; aggregation.;

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References

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  1. Dehejia, R.H. & Wahba, S., 1998. "Propensity Score Matching Methods for Non-Experimental Causal Studies," Discussion Papers 1998_02, Columbia University, Department of Economics.
  2. 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.
  3. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2005. "Consistent Testing for Stochastic Dominance under General Sampling Schemes," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 735-765.
  4. Kolm, Serge-Christophe, 1977. "Multidimensional Egalitarianisms," The Quarterly Journal of Economics, MIT Press, vol. 91(1), pages 1-13, February.
  5. Maasoumi, Esfandiar & Nickelsburg, Gerald, 1988. "Multivariate Measures of Well-Being and an Analysis of Inequality in the Michigan Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 326-34, July.
  6. Rajeev H. Dehejia, 2002. "Program evaluation as a decision problem," Discussion Papers 0102-23, Columbia University, Department of Economics.
  7. 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, February.
  8. 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.
  9. 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.
  10. Maasoumi, Esfandiar, 1986. "The Measurement and Decomposition of Multi-dimensional Inequality," Econometrica, Econometric Society, vol. 54(4), pages 991-97, July.
  11. Ram, Rati, 1982. "Composite indices of physical quality of life, basic needs fulfilment, and income : A principal component representation," Journal of Development Economics, Elsevier, vol. 11(2), pages 227-247, October.
  12. Sen, Amartya K, 1977. "On Weights and Measures: Informational Constraints in Social Welfare Analysis," Econometrica, Econometric Society, vol. 45(7), pages 1539-72, October.
  13. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-25, April.
  14. C. W. Granger & E. Maasoumi & J. Racine, 2004. "A Dependence Metric for Possibly Nonlinear Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(5), pages 649-669, 09.
  15. 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.
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Cited by:
  1. Ginindza, Mzwandile & Maasoumi, Esfandiar, 2013. "Evaluating inflation targeting based on the distribution of inflation and inflation volatility," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 497-518.

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