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Does compulsory schooling affect health? Evidence from ambulatory claims data

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  • Tatjana Begerow

    (University of Wuppertal)

  • Hendrik Jürges

    (University of Wuppertal)

Abstract

Using claims data on more than 23 million statutorily insured, we investigate the causal effect of schooling on health in the largest and most comprehensive analysis for Germany to date. In a regression discontinuity approach, we exploit changes in compulsory schooling in West Germany to estimate the reduced form effect of the reforms on health, measured by doctor diagnoses in ICD-10 format covering physical as well as mental health conditions. To mitigate the problem that empirical results depend on subjective decisions made by the researcher, we perform specification curve analyses to assess the robustness of findings across various model specifications. We find that the reforms have, at best, very small impacts on the examined doctor diagnoses. In most of the specifications we estimate insignificant effects that are close to zero and often of the “wrong” sign. Therefore, our study questions the presence of the large positive effects of education on health that are found in the previous literature.

Suggested Citation

  • Tatjana Begerow & Hendrik Jürges, 2022. "Does compulsory schooling affect health? Evidence from ambulatory claims data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 953-968, August.
  • Handle: RePEc:spr:eujhec:v:23:y:2022:i:6:d:10.1007_s10198-021-01404-y
    DOI: 10.1007/s10198-021-01404-y
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    Cited by:

    1. Monsees, Daniel & Schmitz, Hendrik, 2023. "The effect of compulsory schooling on vaccination against COVID and Influenza," Ruhr Economic Papers 1011, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Schmitz, Hendrik & Tawiah, Beatrice Baaba, 2023. "Life-cycle health effects of compulsory schooling," Ruhr Economic Papers 1006, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

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    More about this item

    Keywords

    Compulsory schooling laws; Doctor-diagnosed health conditions; Regression discontinuity design; Causality;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education

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