Arbeitspapier
mhbounds: Sensitivity Analysis for Average Treatment Effects
Matching has become a popular approach to estimate average treatment effects. It is based on the conditional independence or unconfoundedness assumption. Checking the sensitivity of the estimated results with respect to deviations from this identifying assumption has become an increasingly important topic in the applied evaluation literature. If there are unobserved variables which affect assignment into treatment and the outcome variable simultaneously, a hidden bias might arise to which matching estimators are not robust. We address this problem with the bounding approach proposed by Rosenbaum (2002), where mhbounds allows the researcher to determine how strongly an unmeasured variable must influence the selection process in order to undermine the implications of the matching analysis.
- Language
-
Englisch
- Bibliographic citation
-
Series: DIW Discussion Papers ; No. 659
- Classification
-
Wirtschaft
- Subject
-
matching
treatment effects
sensitivity analysis
unobserved heterogeneity
Schätztheorie
Sensitivitätsanalyse
Theorie
Statistical matching
- Event
-
Geistige Schöpfung
- (who)
-
Becker, Sascha O.
Caliendo, Marco
- Event
-
Veröffentlichung
- (who)
-
Deutsches Institut für Wirtschaftsforschung (DIW)
- (where)
-
Berlin
- (when)
-
2007
- Handle
- Last update
-
10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Becker, Sascha O.
- Caliendo, Marco
- Deutsches Institut für Wirtschaftsforschung (DIW)
Time of origin
- 2007
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