Estimating the dose–response function through a generalized linear model approach

Barbara Guardabascio and Marco Ventura

Stata Journal, 2014, vol. 14, issue 1, 141-158

Abstract: In this article, we revise the estimation of the dose–response function described in Hirano and Imbens (2004, Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives, 73–84) by proposing a flexible way to estimate the generalized propensity score when the treatment variable is not necessarily normally distributed. We also provide a set of programs that accomplish this task. To do this, in the existing doseresponse program (Bia and Mattei, 2008, Stata Journal 8: 354–373), we substitute the maximum likelihood estimator in the first step of the computation with the more flexible generalized linear model. Copyright 2014 by StataCorp LP.

Keywords: glmgpscore; glmdose; generalized propensity score; generalized linear model; dose–response; continuous treatment; bias removal (search for similar items in EconPapers)
Date: 2014
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