Simulation-based sensitivity analysis for matching estimators
| dc.creator | Nannicini, Tommaso | |
| dc.date | 2017-04-01T14:30:35Z | |
| dc.date.accessioned | 2026-07-09T05:53:19Z | |
| dc.description | This article presents a Stata program (sensatt) that implements the sensitivity analysis for matching estimators proposed by Ichino, Mealli, and Nannicini (Journal of Applied Econometrics, forthcoming). The analysis simulates a potential confounder to assess the robustness of the estimated treatment effects with respect to deviations from the conditional independence assumption. The program uses the commands for propensity-score matching (att* ) developed by Becker and Ichino (Stata Journal 2: 358–377). I give an example by using the National Supported Work demonstration, widely known in the program evaluation literature. | |
| dc.identifier | Other:st0130 | |
| dc.identifier | doi:10.22004/ag.econ.119280 | |
| dc.identifier | https://ageconsearch.umn.edu/record/119280/files/sjart_st0130.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/119280 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/569662 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/119280 | |
| dc.title | Simulation-based sensitivity analysis for matching estimators | |
| dc.type | Text |