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Spatial Dynamic Effects in the Colombian Health System

Author

Listed:
  • Leonardo Rodriguez-Pineda

    (Universidad EAFIT)

  • Andres Felipe Sanchez-Saldarriaga

    (Universidad EAFIT)

  • Helena María Cancelado-Carretero

    (Universidad EAFIT)

Abstract

We seek to understand if spatial dynamics affect the population in social, economic and health terms. To carry out this study, we propose the following two stages. In the first stage we try to understand the causes of high infant mortality in rural areas in comparison to the urban areas based on literature and the changes made to the Colombian health model. The second stage is a spatial econometric analysis of the variables of interest, where the CEDE database of the Universidad de los Andes is utilized. The findings of this study confirm the importance of the inclusion of spatial effects, which is a sign that the health dynamics of populations are interrelated. This spatial interdependence corroborates the suggestion from literature where proposing policies coordinate the system and consider local and neighboring populations. Also, municipal administrations require the need to consider mechanisms of interlocution whilst working with their peers and allow these factors to be included in the planning of political measures taken that affect health conditions. Finally, we confirm differences between the rural and urban performance

Suggested Citation

  • Leonardo Rodriguez-Pineda & Andres Felipe Sanchez-Saldarriaga & Helena María Cancelado-Carretero, 2020. "Spatial Dynamic Effects in the Colombian Health System," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 92, pages 201-222, Enero-Jun.
    • Handle: RePEc:lde:journl:y:2020:i:92:p:201-222
    DOI: 10.17533/udea.le.n92a07
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    References listed on IDEAS

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    1. Gamper-Rabindran, Shanti & Khan, Shakeeb & Timmins, Christopher, 2010. "The impact of piped water provision on infant mortality in Brazil: A quantile panel data approach," Journal of Development Economics, Elsevier, vol. 92(2), pages 188-200, July.
    2. J. Paul Elhorst, 2014. "Linear Spatial Dependence Models for Cross-Section Data," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 5-36, Springer.
    3. Víctor Hugo Torres-Preciado & Mayrén Polanco-Gaytán & Miguel A. Tinoco-Zermeño, 2017. "Crime and regional economic growth in Mexico: A spatial perspective," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 477-494, August.
    4. Vahidin Jeleskovic & Benjamin Schwanebeck, 2012. "Assessment of a spatial panel model for the efficiency analysis of the heterogonous healthcare systems in the world," MAGKS Papers on Economics 201248, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    5. Kalipeni, Ezekiel, 1993. "Determinants of infant mortality in Malawi: A spatial perspective," Social Science & Medicine, Elsevier, vol. 37(2), pages 183-198, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    government expenditures and health; health behavior; government policy; regulation; public health; cross-sectional models; spatial models; treatment effect models; quantile regressions.;
    All these keywords.

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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