论文信息 - A Stata Package for the Estimation of the Dose-response Function through Adjustment for the Generalized Propensity Score

A Stata Package for the Estimation of the Dose-response Function through Adjustment for the Generalized Propensity Score

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.

Alessandra Mattei | Michela Bia | Michela Bia | A. Mattei | Alessandra Mattei

[1] Michela Bia,et al. Application of the Generalized Propensity Score. Evaluation of public contributions to Piedmont enterprises , 2007 .

[2] C. Glymour,et al. STATISTICS AND CAUSAL INFERENCE , 1985 .

[3] G. Imbens,et al. The Propensity Score with Continuous Treatments , 2005 .

[4] Sascha O. Becker,et al. Estimation of Average Treatment Effects Based on Propensity Scores , 2002 .

[5] B. Sianesi,et al. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing , 2003 .

[6] Daniel L. Rubin,et al. Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players , 1999 .

[7] L. M. M.-T.. Theory of Probability , 1929, Nature.

[8] D. Rubin. INFERENCE AND MISSING DATA , 1975 .

[9] D. Rubin,et al. The central role of the propensity score in observational studies for causal effects , 1983 .