Estimating the Dose–Response Function through a Generalized Linear Model Approach
- 1 March 2014
- journal article
- research article
- Published by SAGE Publications in The Stata Journal: Promoting communications on statistics and Stata
- Vol. 14 (1), 141-158
- https://doi.org/10.1177/1536867x1401400110
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 Dose-response 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.Keywords
This publication has 16 references indexed in Scilit:
- The export–growth relationship: estimating a dose-response functionApplied Economics Letters, 2009
- Exports and Productivity Growth: First Evidence from a Continuous Treatment ApproachReview of World Economics, 2008
- A Stata Package for the Estimation of the Dose-response Function through Adjustment for the Generalized Propensity ScoreThe Stata Journal: Promoting communications on statistics and Stata, 2008
- Generalized Linear Models for Insurance DataPublished by Cambridge University Press (CUP) ,2008
- The Propensity Score with Continuous TreatmentsPublished by Wiley ,2004
- Estimation of Average Treatment Effects Based on Propensity ScoresThe Stata Journal: Promoting communications on statistics and Stata, 2002
- Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery PlayersAmerican Economic Review, 2001
- Identification and estimation of causal effects of multiple treatments under the conditional independence assumptionPublished by Springer Science and Business Media LLC ,2001
- The role of the propensity score in estimating dose-response functionsBiometrika, 2000
- Superstars in the National Basketball Association: Economic Value and PolicyJournal of Labor Economics, 1997