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Efectos heterogéneos y distributivos del Seguro Popular sobre la oferta de servicios de salud en México

Author

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  • Huffman, Curtis

    (Universidad Nacional Autónoma de México)

  • Van Gameren, Edwin

    (El Colegio de México)

Abstract

Background: The effects that the expansion of the Seguro Popular (SP), Mexico’s universal —according to the government— health insurance program, has had on the human and material resources needed to meet the new demand remain largely unexplored. It is a key piece in the quest for universal healthcare that we analyze in this paper. Methodology: Unlike previous evaluations, we use sanitary jurisdictions as units of analysis and operationalize SP’s intervention as a continuous treatment indicator (relative to the number of recipients). Results: Estimates using a variety of propensity score approaches suggest that, on the average, SP effectively has had a positive impact on Mexico’s health resources. However, quantile and interaction treatment effects also suggest unexpected distributional effects on health resources. Conclusions: Overall, our results suggest that the program may be leaving behind some of the most vulnerable geographical areas.

Suggested Citation

  • Huffman, Curtis & Van Gameren, Edwin, 2019. "Efectos heterogéneos y distributivos del Seguro Popular sobre la oferta de servicios de salud en México," El Trimestre Económico, Fondo de Cultura Económica, vol. 86(343), pages 667-713, julio-sep.
  • Handle: RePEc:elt:journl:v:86:y:2019:i:343:p:667-713
    DOI: http://dx.doi.org/10.20430/ete.v86i343.719
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    More about this item

    Keywords

    generalized propensity score methods; continuous treatments; quantile treatment effects; interaction treatment effects; Mexico; Seguro Popular; causal inference.;
    All these keywords.

    JEL classification:

    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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