A primer on propensity score matching estimators
Nonparametric matching estimators are frequently applied in evaluation studies. The general idea of the methodology is to determine the impact of treatment on the treated using information from treated and from similar non-treated observations to build a counterfactual of no treatment. I discuss the...
- Autores:
-
Vinha, Katja
- Tipo de recurso:
- Work document
- Fecha de publicación:
- 2006
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/7988
- Acceso en línea:
- http://hdl.handle.net/1992/7988
- Palabra clave:
- Propensity score matching
Binary treatment
Multiple treatments
Econometría
Estimación de parámetros
C14
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
| Summary: | Nonparametric matching estimators are frequently applied in evaluation studies. The general idea of the methodology is to determine the impact of treatment on the treated using information from treated and from similar non-treated observations to build a counterfactual of no treatment. I discuss the methodology for both the binary treatment case as well as for the multiple treatment case. |
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