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

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Author Info
Michela Bia () (Laboratorio Riccardo Revelli, Collegio Carlo Alberto)
Alessandra Mattei () (Department of Statistics, University of Florence)

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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.

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Publisher Info
Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 8 (2008)
Issue (Month): 3 (September)
Pages: 354-373
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Handle: RePEc:tsj:stataj:v:8:y:2008:i:3:p:354-373

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Related research
Keywords: gpscore; doseresponse; doseresponse model; bias removal; dose-response function; generalized propensity score; weak unconfoundedness;

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This page was last updated on 2009-10-27.

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