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

Ila Patnaik, Renuka Sane, Ajay Shah and S V Subramanian

PLOS ONE, 2023, vol. 18, issue 1, 1-18

Abstract: An important new large-scale survey database is brought to bear on measuring and analysing self-reported health in India. The most important correlates are age, income and location. There is substantial variation of health across the 102 ‘homogeneous regions’ within the country, after controlling for household and individual characteristics. Higher income is correlated with better health in only 40% of India. We create novel maps showing regions with poor health, that is attributable to the location, that diverge from the conventional wisdom. These results suggest the need for epidemiological studies in the hotspots of ill-health and in regions where higher income does not correlate with improved health.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0279999 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 79999&type=printable (application/pdf)

Related works:
Working Paper: Distribution of self-reported health in India: The role of income and geography (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0279999

DOI: 10.1371/journal.pone.0279999

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().