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Does Self-Assessed Health Reflect the True Health State?

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  • Pavitra Paul

    (Centre de Sciences Humaines (CSH, UMIFRE n°20), a Network of Research Units of the National Centre for Scientific Research (CNRS) and the French Ministry of European and Foreign Affairs, New Delhi 110011, India
    Department of Public Health, Yerevan State Medical University, Yerevan 0025, Armenia)

  • Ulrich Nguemdjo

    (CNRS, AMSE, Aix-Marseille Université, 13001 Marseille, France
    Laboratoire Population Environnement Développement, Aix-Marseille Université, 13001 Marseille, France)

  • Natalia Kovtun

    (Department of Statistics and Demography, Taras Shevchenko National University of Kyiv, 03022 Kiev, Ukraine)

  • Bruno Ventelou

    (CNRS, AMSE, Aix-Marseille Université, 13001 Marseille, France)

Abstract

Self-assessed health (SAH) is a widely used tool to estimate population health. However, the debate continues as to what exactly this ubiquitous measure of social science research means for policy conclusions. This study is aimed at understanding the tenability of the construct of SAH by simultaneously modelling SAH and clinical morbidity. Using data from 17 waves (2001–2017) of the Russian Longitudinal Monitoring Survey, which captures repeated response for SAH and frequently updates information on clinical morbidity, we operationalise a recursive semi-ordered probit model. Our approach allows for the estimation of the distributional effect of clinical morbidity on perceived health. This study establishes the superiority of inferences from the recursive model. We illustrated the model use for examining the endogeneity problem of perceived health for SAH, contributing to population health research and public policy development, in particular, towards the organisation of health systems.

Suggested Citation

  • Pavitra Paul & Ulrich Nguemdjo & Natalia Kovtun & Bruno Ventelou, 2021. "Does Self-Assessed Health Reflect the True Health State?," IJERPH, MDPI, vol. 18(21), pages 1-16, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11153-:d:663426
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