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Distribution of self-reported health in India: The role of income and geography

Author

Listed:
  • Ila Patnaik

    (NIPFP)

  • Renuka Sane

    (NIPFP)

  • Ajay Shah

    (xKDR Forum)

  • S. V. Subramaniam

    (Harvard University)

Abstract

Background: We obtain evidence on self-reported health in India using a new large-scale survey database. Methods: We report summary statistics about the self-reported ill-health rate, and explore relationships with socio-economic parameters through logistic regressions. Results: The overall average ill health rate is 3.25%. The most important correlates are age, income and location. We find substantial variation across the 102 'homogeneous regions' of the country. Higher income is correlated with better health in 40% of India. Conclusions: The maps of ill health seen here diverge from conventional wisdom about North vs. South India. Epidemiological studies are required in the hotspots of ill-health and the regions where higher income does not correlate with improved health. Keywords: Self-reported health, India, geographical variation, SES and health.

Suggested Citation

  • Ila Patnaik & Renuka Sane & Ajay Shah & S. V. Subramaniam, 2021. "Distribution of self-reported health in India: The role of income and geography," Working Papers 6, xKDR.
    • Handle: RePEc:anf:wpaper:6
    as

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    References listed on IDEAS

    as
    1. Ilke Onur & Malathi Velamuri, 2018. "The gap between self-reported and objective measures of disease status in India," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.
    2. Sukumar Vellakkal & S V Subramanian & Christopher Millett & Sanjay Basu & David Stuckler & Shah Ebrahim, 2013. "Socioeconomic Inequalities in Non-Communicable Diseases Prevalence in India: Disparities between Self-Reported Diagnoses and Standardized Measures," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-12, July.
    3. Aparajita Dasgupta, 2018. "Systematic measurement error in self-reported health: is anchoring vignettes the way out?," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 8(1), pages 1-30, December.
    4. Subramanian, S.V. & Subramanyam, Malavika A. & Selvaraj, Sakthivel & Kawachi, Ichiro, 2009. "Are self-reports of health and morbidities in developing countries misleading? Evidence from India," Social Science & Medicine, Elsevier, vol. 68(2), pages 260-265, January.
    5. Lucky Singh & Perianayagam Arokiasamy & Prashant Kumar Singh & Rajesh Kumar Rai, 2013. "Determinants of Gender Differences in Self-Rated Health Among Older Population," SAGE Open, , vol. 3(2), pages 21582440134, May.
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    Keywords

    self-reported health; india; geographical variation; ses and health.;
    All these keywords.

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