A Simulation-Based Sensitivity Analysis for Matching Estimators

Tommaso Nannicini ()

North American Stata Users' Group Meetings 2006 from Stata Users Group

Abstract: This paper presents a Stata program ("sensatt") that implements the sensitivity analysis for propensity-score matching estimators proposed by Ichino, Mealli and Nannicini (2005). The proposed analysis builds on Rosenbaum and Rubin (1983) and Rosenbaum (1987), and simulates a potential confounder in order to assess the robustness of the estimated treatment effect with respect to specific deviations from the Conditional Independence Assumption (CIA). The program "sensatt" makes use of the user-written Stata commands for propensity-score matching estimation (att*) developed by Becker and Ichino (2002). An example of the implementation of the proposed sensitivity analysis is given by using the National Supported Work (NSW) demonstration, widely known in the program evaluation literature.

Date: Written
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Downloads: (external link)
http://repec.org/nasug2006/pres_Stata_1.pdf (application/pdf)
http://repec.org/nasug2006/sensatt_wp.pdf (application/pdf)
http://fmwww.bc.edu/repec/bocode/s/sensatt.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sensatt.hlp help file (text/plain)

Related works:
Working Paper: A simulation-based sensitivity analysis for matching estimators (2009)
Journal Article: Simulation-based sensitivity analysis for matching estimators (2007)
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Persistent link: http://EconPapers.repec.org/RePEc:boc:asug06:6

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