A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score
Michela Bia
Laboratorio Riccardo Revelli
Centre for Employment Studies
Collegio Carlo Alberto
Moncalieri, Italy
michela.bia@laboratoriorevelli.it
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Alessandra Mattei
Department of Statistics
University of Florence
Florence, Italy
mattei@ds.unifi.it
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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).
View all articles by these authors:
Michela Bia, Alessandra Mattei
View all articles with these keywords:
gpscore, doseresponse, doseresponse_model, bias removal, dose–response function, generalized propensity score, weak unconfoundedness
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