Reporting Bias and Heterogeneity in Self-Assessed Health. Evidence from the British Household Panel Survey

Cristina Hernandez-Quevedo, Andrew Michael Jones () and Nigel Rice

Discussion Papers from Department of Economics, University of York

Abstract: This paper explores reporting bias and heterogeneity in the measure of self-assessed health (SAH) used in the British Household Panel Survey (BHPS). The ninth wave of the BHPS includes the SF-36 general health questionnaire, which incorporates a different wording to the self-assessed health variable used at other waves. Considerable attention has been devoted to the reliability of SAH and the scope for contamination by measurement error; the change in wording at wave 9 provides a form of natural experiment that allows us to assess the sensitivity of panel data analyses to a change in the measurement instrument. In particular, we investigate reporting bias due explicitly to the change in the question. We show how progressively more general specifications of reporting bias can be implemented using panel data ordered probit and generalised ordered probit models. Our results suggest that the distribution of SAH does shift at the ninth wave but there is little evidence that this varies with socio-economic characteristics at an individual level.

Keywords: self-assessed health; reporting bias; ordered probit; generalised ordered probit; panel data (search for similar items in EconPapers)
JEL-codes: I12 C23 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm, nep-edu and nep-hea
View list of references View citations in EconPapers

Downloads: (external link)
http://www.york.ac.uk/depts/econ/documents/dp/0418.pdf Main text (application/pdf)

Related works:
Working Paper: Reporting bias and heterogeneity in selfassessed health. Evidence from the British Household Panel Survey (2005)
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: http://EconPapers.repec.org/RePEc:yor:yorken:04/18

Access Statistics for this paper

More papers in Discussion Papers from Department of Economics, University of York
Address: Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Contact information at EDIRC.
Series data maintained by Michael Shallcross ().