Simulation-based sensitivity analysis for matching estimators

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.


Issue Date:
2007
Publication Type:
Journal Article
DOI and Other Identifiers:
st0130 (Other)
PURL Identifier:
http://purl.umn.edu/119280
Published in:
Stata Journal, Volume 07, Number 3
Page range:
334-350
Total Pages:
17

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 Record created 2017-04-01, last modified 2017-04-28

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