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Health condition and job status interactions: econometric evidence of causality from a French longitudinal survey

Author

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  • Eric Delattre

    (THEMA - Théorie économique, modélisation et applications - UCP - Université de Cergy Pontoise - Université Paris-Seine - CNRS - Centre National de la Recherche Scientifique)

  • Richard Moussa

    (ENSEA - Ecole nationale supérieure de statistique et d'économie appliquée [Abidjan])

  • Mareva Sabatier

    (IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc)

Abstract

This article investigates the causal links between health and employment status. To disentangle correlation from causality effects, the authors leverage a French panel survey to estimate a bivariate dynamic probit model that can account for the persistence effect, initial conditions, and unobserved heterogeneity. The results highlight the crucial role of all three components and reveal strong dual causality between health and employment status. The findings clearly support demands for better coordination between employment and health public policies.

Suggested Citation

  • Eric Delattre & Richard Moussa & Mareva Sabatier, 2019. "Health condition and job status interactions: econometric evidence of causality from a French longitudinal survey," Post-Print hal-02010579, HAL.
    • Handle: RePEc:hal:journl:hal-02010579
    DOI: 10.1186/s13561-019-0220-3
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    More about this item

    Keywords

    Health and job causality; Bivariate dynamic probit model; Gauss-Hermite quadrature; C51;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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