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Unemployment and Health: A Meta-Analysis

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  • Picchio, Matteo

    (Marche Polytechnic University)

  • Ubaldi, Michele

    (Marche Polytechnic University)

Abstract

This paper is a meta-analysis on the relationship between unemployment and health. Our meta-dataset is made up of 327 study results coming from 65 articles published in peer-reviewed journals between 1990 and 2021. We find that publication bias is important, but only for those study results obtained through difference-in-differences or instrumental variables estimators. The average effect of unemployment on health is negative, but small in terms of partial correlation coefficient. We investigate if findings are heterogeneous among several research dimensions. We find that unemployment is mostly effective on the psychological domains of health and that short- and long-term unemployment spells equally affect health. Dealing with endogeneity issues is important and, when this is done, the unemployment effects on health are closer to be nil.

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  • Picchio, Matteo & Ubaldi, Michele, 2022. "Unemployment and Health: A Meta-Analysis," IZA Discussion Papers 15433, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp15433
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    14. Melisa Bubonya & Deborah A. Cobb-Clark & Mark Wooden, 2017. "Job loss and the mental health of spouses and adolescent children," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-27, December.
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    More about this item

    Keywords

    unemployment; health; meta-analysis; meta-regression; publication bias;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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