Adjusting Self-Assessed Health for Potential Bias Using a Random-Effects Generalized Ordered Probit model

Qingqing Yang and Robert Rosenman

No 205217, 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California from Agricultural and Applied Economics Association

Abstract: We study how socioeconomic conditions, especially relative household income, affect self-assessed health. We use a random effects generalized ordered probit model with data from China Health and Nutrition Survey (CHNS) to test for heterogeneity in how people assess their health. The results show that individuals with high relative income are less likely to report poor health, but they are also less likely to report extremely good healthy. Although SAH capture many aspects of health elements, it might be biased on some socioeconomic features.

Keywords: Health Economics and Policy; Institutional and Behavioral Economics; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 24
Date: 2015
New Economics Papers: this item is included in nep-dcm
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/205217/files/AAEA%20discussion%20paper.pdf (application/pdf)

Related works:
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:ags:aaea15:205217

DOI: 10.22004/ag.econ.205217

Access Statistics for this paper

More papers in 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().