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The impact of subsidized health insurance in the access to and use of health care in Medellín, Colombia

Author

Listed:
  • Sara Atehortua

    (Universidad de Antioquia)

  • Lina Palacio

    (Instituto Nacional de Salud Pública de México –INSP–)

Abstract

Subsidized health insurance is a public policy aimed at improving access to health care of the poor in Colombia. To evaluate the impact of this policy in Medellín, we use the 2008 Quality of Life Survey and, with the propensity score matching technique, we find a comparison group similar to the target group. Stratification, nearest neighbor, and kernel density estimators are used to calculate the size of the impacts. We find that subsidized insurance has positive impacts on access to health care for people over ten years. In children under four years and women aged 15 to 49, positive results were observed in preventive services and hospitalization. In men older than 50 years, negative impacts were found in hospitalization, but those for preventive consultation were positive.

Suggested Citation

  • Sara Atehortua & Lina Palacio, 2015. "The impact of subsidized health insurance in the access to and use of health care in Medellín, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 82, pages 159-188, Enero - J.
    • Handle: RePEc:lde:journl:y:2015:i:82:p:159-188
    DOI: 10.17533/udea.le.n82a5
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    More about this item

    Keywords

    public policy evaluation; subsidized health insurance; access to and use of health care; propensity score matching; Medellín;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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