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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
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    References listed on IDEAS

    as
    1. Angus S. Deaton, 2006. "Global Patterns of Income and Health: Facts, Interpretations, and Policies," Working Papers id:777, eSocialSciences.
    2. repec:pri:rpdevs:case_deaton_healthwealth is not listed on IDEAS
    3. 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.
    4. Barik, Debasis & Desai, Sonalde & Vanneman, Reeve, 2018. "Economic Status and Adult Mortality in India: Is the Relationship Sensitive to Choice of Indicators?," World Development, Elsevier, vol. 103(C), pages 176-187.
    5. 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.
    6. repec:pri:cheawb:case_deaton_healthwealth.pdf is not listed on IDEAS
    7. John Creedy & S. Subramanian, 2022. "Mortality Comparisons ‘At a Glance’: A Mortality Concentration Curve and Decomposition Analysis for India," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 873-894, November.
    8. Anne Case & Angus Deaton, 2005. "Health and Wealth among the Poor: India and South Africa Compared," American Economic Review, American Economic Association, vol. 95(2), pages 229-233, May.
    9. repec:pri:cheawb:deaton_wider_final_annual_lecture_all is not listed on IDEAS
    10. repec:pri:cheawb:case_deaton_healthwealth is not listed on IDEAS
    11. repec:pri:rpdevs:case_deaton_healthwealth.pdf is not listed on IDEAS
    12. 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.
    13. Mahanta, Ratul & Chowdhury, Jayashree & Nath, Hiranya K., 2016. "Health costs of arsenic contamination of drinking water in Assam, India," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 30-42.
    14. 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.
    15. 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.
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    1. Dinesh Bhugra & Antonio Ventriglio, 2023. "Geographical Determinants of Mental Health," International Journal of Social Psychiatry, , vol. 69(4), pages 811-813, June.
    2. Saddaf Naaz Akhtar & Nandita Saikia & T Muhammad, 2023. "Self-rated health among older adults in India: Gender specific findings from National Sample Survey," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-18, April.

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