The performance of estimators based on the propensity score
- Huber, Martin University of St. Gallen
- Lechner, Michael University of St. Gallen
- Wunsch, Conny University of St. Gallen
-
2013
Published in:
- Journal of econometrics. - 2013, vol. 175, no. 1, p. 1-21
English
We investigate the finite sample properties of a large number of estimators for the average treatment effect on the treated that are suitable when adjustment for observed covariates is required, like inverse probability weighting, kernel and other variants of matching, as well as different parametric models. The simulation design used is based on real data usually employed for the evaluation of labour market programmes in Germany. We vary several dimensions of the design that are of practical importance, like sample size, the type of the outcome variable, and aspects of the selection process. We find that trimming individual observations with too much weight as well as the choice of tuning parameters are important for all estimators. A conclusion from our simulations is that a particular radius matching estimator combined with regression performs best overall, in particular when robustness to misspecifications of the propensity score and different types of outcome variables is considered an important property.
- Faculty
- Faculté des sciences économiques et sociales et du management
- Department
- Département d'économie politique
- Language
-
- English
- Classification
- Economics
- License
- License undefined
- Identifiers
-
- RERO DOC 323031
- DOI 10.1016/j.jeconom.2012.11.006
- Persistent URL
- https://folia.unifr.ch/unifr/documents/307078
Statistics
Document views: 58
File downloads:
- theperformanceofestimatorsbasedonthepropensityscorejournalofeconometrics17511-212013.pdf: 399