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dc.descriptionThis 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 on the use of preventive medical care nor hospitalization. However, parametric specification of preventive utilization indicates that there is both selection and moral hazard, effects that compensated approximately. These facts imply that the program can improve its coverage if mechanisms are created to lower the individual moral hazard effect.eng
dc.titleThe impact of subsidized health insurance on the poor in Colombia: Evaluating the case of Medellıneng
dc.type.localDocumento de trabajo de investigaciónspa
dc.subject.keywordProgram Evaluationeng
dc.subject.keywordEndogenous Dummy Regressioneng
dc.subject.keywordCount Modelseng
dc.subject.keywordBinary Modelseng
dc.subject.keywordPropensity Score Matchingeng
dc.rights.localAcceso abiertospa
dc.identifier.jelI18, I38, C21
dc.contributor.authorRamírez Hassan, Andrésspa
dc.contributor.authorCardona Jimenez, Johnatanspa
dc.contributor.authorCadavid Montoya, Ramirospa

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