Simulation-based sensitivity analysis for matching estimators
AbstractThis 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. Copyright 2007 by StataCorp LP.
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Bibliographic InfoArticle provided by StataCorp LP in its journal Stata Journal.
Volume (Year): 7 (2007)
Issue (Month): 3 (September)
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Web page: http://www.stata-journal.com/
Other versions of this item:
- Tommaso Nannicini, 2009. "A simulation-based sensitivity analysis for matching estimators," Italian Stata Users' Group Meetings 2008 05, Stata Users Group.
- Tommaso Nannicini, 2006. "A Simulation-Based Sensitivity Analysis for Matching Estimators," North American Stata Users' Group Meetings 2006 6, Stata Users Group.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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