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

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dc.contributor.authorRamírez Hassan, Andrés
dc.contributor.authorCardona Jimenez, Johnatan
dc.contributor.authorCadavid Montoya, Ramiro
dc.coverage.spatialMedellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degreeseng
dc.creator.emailaramir21@eafit.edu.cospa
dc.creator.emailjhonatamc@gmail.comspa
dc.creator.emailramirocadavid@gmail.comspa
dc.date.accessioned2013-03-11T14:17:15Z
dc.date.available2013-03-08
dc.date.available2013-03-11T14:17:15Z
dc.date.issued2011-09-05
dc.description.abstractThis 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.identifier.jelI18
dc.identifier.jelI38
dc.identifier.jelC21
dc.identifier.urihttp://hdl.handle.net/10784/586
dc.language.isoengeng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.rights.localAcceso abiertospa
dc.subject.keywordProgram Evaluationeng
dc.subject.keywordEndogenous Dummy Regressioneng
dc.subject.keywordCount Modelseng
dc.subject.keywordBinary Modelseng
dc.subject.keywordPropensity Score Matchingeng
dc.titleThe impact of subsidized health insurance on the poor in Colombia: Evaluating the case of Medellıneng
dc.typeworkingPapereng
dc.typeinfo:eu-repo/semantics/workingPapereng
dc.type.hasVersiondrafteng
dc.type.localDocumento de trabajo de investigaciónspa

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