Does Self-Assessed Health Reflect the True Health State?

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 simultaneou...

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Bibliographic Details
Published in:IDEAS Working Paper Series from RePEc 2021-11, Vol.18 (21), p.11153
Main Authors: Paul, Pavitra, Nguemdjo, Ulrich, Kovtun, Natalia, Ventelou, Bruno
Format: Article
Language:English
Subjects:
Bias
Chronic illnesses
Disease
Economics and Finance
Gender
Humanities and Social Sciences
Inequality
Morbidity
Perceptions
Public policy
Sociodemographics
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Summary: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.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph182111153