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Assessment of a spatial panel model for the efficiency analysis of the heterogonous healthcare systems in the world

  • Vahidin Jeleskovic

    ()

    (University of Kassel)

  • Benjamin Schwanebeck

    ()

    (University of Kassel)

Registered author(s):

    Various panel models were presented to resolve the ranking of global health care systems according to efficiency. However, in terms of the spatial distribution of statistical units, spatial dependence as a result of various forms of spatial interactions caused biased estimators in classical regression. To our knowledge, this is the first paper which analyzes the healthcare systems of WHO members with regard to spatial dependencies while distinguishing between heterogeneity and inefficiency. It was possible to determine a significant spatial autocorrelation. Therefore one have to consider these spatial spillovers when assessing the performance of healthcare systems. The most meaningful way of implementing these effects appears to be by regressing the health output on various explanatory variables through a combination of the fixed effects spatial lag and the fixed effects cross regressive model. This allows spatial spillovers due to level of education, healthcare expenditure, and the quality of the healthcare system itself, to be diagnosed. Modeling these spatial effects allows previous results to be given more precision with regard to the quality of the healthcare systems of WHO members.

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    File URL: https://www.uni-marburg.de/fb02/makro/forschung/magkspapers/48-2012_jeleskovic.pdf
    File Function: First version, 2012
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    Paper provided by Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung) in its series MAGKS Papers on Economics with number 201248.

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    Date of creation: 2012
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    Publication status: Forthcoming in
    Handle: RePEc:mar:magkse:201248
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    1. Nicolas Debarsy & Cem Ertur, 2009. "Testing for Spatial Autocorrelation in a Fixed Effects Panel Data Model," Post-Print halshs-00414133, HAL.
    2. J. Barkley Rosser, 2009. "Introduction," Chapters, in: Handbook of Research on Complexity, chapter 1 Edward Elgar.
    3. Kruk, Margaret Elizabeth & Freedman, Lynn P., 2008. "Assessing health system performance in developing countries: A review of the literature," Health Policy, Elsevier, vol. 85(3), pages 263-276, March.
    4. G�ran Therborn & K.C. Ho, 2009. "Introduction," City, Taylor & Francis Journals, vol. 13(1), pages 53-62, March.
    5. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    6. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
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