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

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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.

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  • Lunde, Lene & Løken, Katrine Vellesen, 2011. "“How are you feeling?” Assessing reporting bias in a subjective measure of health by quantile regression," Working Papers in Economics 08/11, University of Bergen, Department of Economics.
    • Handle: RePEc:hhs:bergec:2011_008
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    File URL: http://ekstern.filer.uib.no/svf/2011/WP08.11.pdf
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    1. Michael Baker & Mark Stabile & Catherine Deri, 2004. "What Do Self-Reported, Objective, Measures of Health Measure?," Journal of Human Resources, University of Wisconsin Press, vol. 39(4).
    2. Groot, Wim, 2000. "Adaptation and scale of reference bias in self-assessments of quality of life," Journal of Health Economics, Elsevier, vol. 19(3), pages 403-420, May.
    3. Doorslaer, Eddy van & Jones, Andrew M., 2003. "Inequalities in self-reported health: validation of a new approach to measurement," Journal of Health Economics, Elsevier, vol. 22(1), pages 61-87, January.
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    Cited by:

    1. Laura Rossouw, 2015. "Poor Health Reporting: Do Poor South Africans Underestimate Their Health Needs?," WIDER Working Paper Series wp-2015-027, World Institute for Development Economic Research (UNU-WIDER).
    2. Laura Rossouw, 2015. "Poor health reporting: Do poor South Africans underestimate their health needs?," WIDER Working Paper Series 027, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    Keywords

    Reporting bias; quantile regression; health measurement;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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