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
[email protected]
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Alessandra Mattei
Department of Statistics
University of Florence
Florence, Italy
[email protected]
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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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