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Measuring the effect of health insurance companies on the quality of healthcare systems with kernel and parametric regressions

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  • Besstremyannaya, Galina

    (CEFIR, Moscow)

Abstract

The paper applies parametric and kernel regressions to study the impact of private health insurers on quality related outcomes of social health insurance in Russian regions: infant mortality, maternal mortality and mortality under five years of age. The extended model captures endogeneity by employing an instrumental variable approach. The non-parametric model uses kernel regressions. The results reveal that the positive impact of private insurers is explained by regional institutional reforms.

Suggested Citation

  • Besstremyannaya, Galina, 2015. "Measuring the effect of health insurance companies on the quality of healthcare systems with kernel and parametric regressions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 3-20.
    • Handle: RePEc:ris:apltrx:0262
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    References listed on IDEAS

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    More about this item

    Keywords

    kernel regression; instrumental variables; social health insurance; infant mortality.;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand

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