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A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score


  • Michela Bia

    () (Laboratorio Riccardo Revelli, Collegio Carlo Alberto)

  • Alessandra Mattei

    () (Department of Statistics, University of Florence)


In this article, we briefly review the role of the propensity score in estimating dose-response functions as described in Hirano and Imbens (2004, Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives, 73-84). Then we present a set of Stata programs that estimate the propensity score in a setting with a continuous treatment, test the balancing property of the generalized propensity score, and estimate the dose-response function. We illustrate these programs by using a dataset collected by Imbens, Rubin, and Sacerdote (2001, American Economic Review 91: 778-794). Copyright 2008 by StataCorp LP.

Suggested Citation

  • Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
  • Handle: RePEc:tsj:stataj:v:8:y:2008:i:3:p:354-373

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    References listed on IDEAS

    1. Heejung Bang & James M. Robins, 2005. "Doubly Robust Estimation in Missing Data and Causal Inference Models," Biometrics, The International Biometric Society, vol. 61(4), pages 962-973, December.
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