Simulation-based sensitivity analysis for matching estimators
Tommaso Nannicini
Stata Journal, 2007, vol. 7, issue 3, 334-350
Abstract:
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. Copyright 2007 by StataCorp LP.
Keywords: sensatt; sensitivity analysis; matching; propensity score; pro- gram evaluation (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (118)
Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0130
http://www.stata-journal.com/software/sj7-3/st0130/ (text/html)
Related works:
Working Paper: A simulation-based sensitivity analysis for matching estimators (2009) 
Working Paper: A Simulation-Based Sensitivity Analysis for Matching Estimators (2006) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:7:y:2007:i:3:p:334-350
Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html
Access Statistics for this article
Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins
More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().