“How are you feeling?” Assessing reporting bias in a subjective measure of health by quantile regression

Lene Lunde () and Katrine Løken
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Lene Lunde: University of Bergen, Postal: Department of Economics, Fosswinckelsgt. 14, 5007 Bergen, Norway, http://www.uib.no/econ

No 08/11, Working Papers in Economics from University of Bergen, Department of Economics

Abstract: In this paper we investigate reporting heterogeneity in the Visual Analogue Scale (VAS) when it is used to measure current health status in cardiovascular patients. We provide a new framework to identify reporting heterogeneity using quantile regressions. EQ-5D responses are used as a proxy to control for objective health. The objectiveness of this generic measure is supported by other measures of actual health. The data comes from a Norwegian, health-related quality of life study. We find substantial evidence of reporting bias in VAS related to gender and education. For some quantiles we observe reporting heterogeneity related to age and weight.

Keywords: Reporting bias; quantile regression; health measurement (search for similar items in EconPapers)
JEL-codes: C21 I10 I12 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2011-05-01
New Economics Papers: this item is included in nep-hap and nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:hhs:bergec:2011_008

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