The impact of subsidized health insurance on the poor in Colombia: Evaluating the case of Medellın

This paper uses count and binary data models with an endogenous dummy variable, and propensity score matching 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 neither a significant impact...

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Autores:

Ramírez Hassan, Andrés
Cardona Jimenez, Johnatan
Cadavid Montoya, Ramiro

Tipo de recurso:

Fecha de publicación:

2011

Institución:

Universidad EAFIT

Repositorio:

Repositorio EAFIT

Idioma:

eng

OAI Identifier:

oai:repository.eafit.edu.co:10784/586

Acceso en línea:

http://hdl.handle.net/10784/586

Palabra clave:

Program Evaluation
Endogenous Dummy Regression
Count Models
Binary Models
Propensity Score Matching

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