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Identifying covariates of population health using extreme bound analysis

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  • Fabrizio Carmignani
  • Sriram Shankar
  • Eng Tan
  • Kam Tang

Abstract

The results highlight the importance of robustness tests in identifying predictors or potential determinants of population health, and cast doubts on the findings of previous studies that fail to do so. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Fabrizio Carmignani & Sriram Shankar & Eng Tan & Kam Tang, 2014. "Identifying covariates of population health using extreme bound analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(5), pages 515-531, June.
    • Handle: RePEc:spr:eujhec:v:15:y:2014:i:5:p:515-531
    DOI: 10.1007/s10198-013-0492-1
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    Cited by:

    1. Jochen Hartwig & Jan-Egbert Sturm, 2018. "Testing the Grossman model of medical spending determinants with macroeconomic panel data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1067-1086, November.
    2. Hauck, K. & Martin, S. & Smith, P.C., 2016. "Priorities for action on the social determinants of health: Empirical evidence on the strongest associations with life expectancy in 54 low-income countries, 1990–2012," Social Science & Medicine, Elsevier, vol. 167(C), pages 88-98.
    3. Maame Esi Woode & Duncan Mortimer & Rohan Sweeney, 2021. "The impact of health sector‐wide approaches on aid effectiveness and infant mortality," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(5), pages 826-844, July.
    4. Ahmed, Walid M.A., 2022. "Robust drivers of Bitcoin price movements: An extreme bounds analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).

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    More about this item

    Keywords

    Population health; Regression; Extreme bounds analysis; Robustness; I10; I19; C21;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I19 - Health, Education, and Welfare - - Health - - - Other
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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