A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score
| dc.creator | Bia, Michela | |
| dc.creator | Mattei, Alessandra | |
| dc.date | 2017-04-01T13:50:19Z | |
| dc.date.accessioned | 2026-07-09T06:01:12Z | |
| dc.description | 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). | |
| dc.identifier | Other:st0150 | |
| dc.identifier | doi:10.22004/ag.econ.122599 | |
| dc.identifier | https://ageconsearch.umn.edu/record/122599/files/sjart_st0150.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/122599 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/571304 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/122599 | |
| dc.title | A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score | |
| dc.type | Text |