A simulation-based sensitivity analysis for matching estimators
AbstractIn this paper, I present a Stata program (sensatt) that implements the sensitivity analysis for matching estimators proposed by Ichino, Mealli, and Nannicini (2008). The analysis simulates a potential confounder to assess the robustness of the estimated treatment effects with respect to deviations from the Conditional Independence Assumption (CIA). The program uses the commands for propensity-score matching (att*) developed by Becker and Ichino (2002). I provide an example using the National Supported Work (NSW) demonstration, widely known in the program evaluation literature.
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Bibliographic InfoPaper provided by Stata Users Group in its series Italian Stata Users' Group Meetings 2008 with number 05.
Date of creation: 19 Jan 2009
Date of revision:
Other versions of this item:
- Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
- Tommaso Nannicini, 2006. "A Simulation-Based Sensitivity Analysis for Matching Estimators," North American Stata Users' Group Meetings 2006 6, Stata Users Group.
- NEP-ALL-2009-01-31 (All new papers)
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- Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
- Ichino, Andrea & Mealli, Fabrizia & Nannicini, Tommaso, 2006.
"From Temporary Help Jobs to Permanent Employment: What Can We Learn from Matching Estimators and their Sensitivity?,"
IZA Discussion Papers
2149, Institute for the Study of Labor (IZA).
- Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
- Ichino, Andrea & Mealli, Fabrizia & Nannicini, Tommaso, 2006. "From Temporary Help Jobs to Permanent Employment: What Can We Learn from Matching Estimators and their Sensitivity?," CEPR Discussion Papers 5736, C.E.P.R. Discussion Papers.
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2000.
"Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools,"
NBER Working Papers
7831, National Bureau of Economic Research, Inc.
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
- Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
- Guildo W. Imbens, 2003. "Sensitivity to Exogeneity Assumptions in Program Evaluation," American Economic Review, American Economic Association, vol. 93(2), pages 126-132, May.
- Marco Caliendo & Sabine Kopeinig, 2005.
"Some Practical Guidance for the Implementation of Propensity Score Matching,"
Discussion Papers of DIW Berlin
485, DIW Berlin, German Institute for Economic Research.
- Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, 02.
- Caliendo, Marco & Kopeinig, Sabine, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," IZA Discussion Papers 1588, Institute for the Study of Labor (IZA).
- Guido W. Imbens, 2003.
"Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review,"
NBER Technical Working Papers
0294, National Bureau of Economic Research, Inc.
- Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
- Charles Michalopoulos & Howard S. Bloom & Carolyn J. Hill, 2004. "Can Propensity-Score Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs?," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 156-179, February.
- Edwin Leuven & Barbara Sianesi, 2003. "PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing," Statistical Software Components S432001, Boston College Department of Economics, revised 19 Jul 2012.
- Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
- Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
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