Estimation of multivalued treatment effects under conditional independence
| dc.creator | Cattaneo, Matias D. | |
| dc.creator | Drukker, David M. | |
| dc.creator | Holland, Ashley D. | |
| dc.date | 2017-04-01T19:40:40Z | |
| dc.date.accessioned | 2026-07-09T11:01:42Z | |
| dc.description | This article discusses the poparms command, which implements two semiparametric estimators for multivalued treatment effects discussed in Cattaneo (2010, Journal of Econometrics 155: 138–154). The first is a properly reweighted inverse-probability weighted estimator, and the second is an efficient-influence function estimator, which can be interpreted as having the double-robust property. Our implementation jointly estimates means and quantiles of the potential outcome distributions, allowing for multiple, discrete treatment levels. These estimators are then used to estimate a variety of multivalued treatment effects. We discuss pre- and postestimation approaches that can be used in conjunction with our main implementation. We illustrate the program and provide a simulation study assessing the finite-sample performance of the inference procedures. | |
| dc.identifier | Other:st0303 | |
| dc.identifier | doi:10.22004/ag.econ.249801 | |
| dc.identifier | https://ageconsearch.umn.edu/record/249801/files/sjart_st0303.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/249801 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/624150 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/249801 | |
| dc.title | Estimation of multivalued treatment effects under conditional independence | |
| dc.type | Text |