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

Michela Bia () and Alessandra Mattei ()
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Alessandra Mattei: Department of Statistics, University of Florence

Stata Journal, 2008, vol. 8, issue 3, pages 354-373

Abstract: 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.

Keywords: gpscore; doseresponse; doseresponse model; bias removal; dose-response function; generalized propensity score; weak unconfoundedness (search for similar items in EconPapers)
Date: 2008

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