The Impact Of Subsidized Health Insurance On The Poor In Colombia: Evaluating The Case Of Medellín
This paper uses count and binary data models with an endogenous dummy variable to evaluate the effect of the subsidized health care program in Medellin (Colombia). The subsidized program, which primarily covers poor people, is found to have a significant impact on the use of preventive medical care...
- Autores:
-
Ramírez Hassan, Andrés
Cardona Jiménez, Johnatan
Cadavid Montoya, Ramiro
- Tipo de recurso:
- Fecha de publicación:
- 2013
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/7529
- Acceso en línea:
- http://hdl.handle.net/10784/7529
- Palabra clave:
- Binary Models
Count Models
Endogenous Dummy Regression
Program Evaluation.
- Rights
- License
- openAccess
| Summary: | This paper uses count and binary data models with an endogenous dummy variable to evaluate the effect of the subsidized health care program in Medellin (Colombia). The subsidized program, which primarily covers poor people, is found to have a significant impact on the use of preventive medical care and hospitalization that might have a negative impact on the financial statements of the program. Specifically, econometric estimations of health care utilization indicate that there is both selectionand moral hazard. These facts imply that the program can improve its coverage if mechanisms are created to lower the individual moral hazardeffect. |
|---|