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How survey design affects self-assessed health responses in the Survey of Health, Ageing, and Retirement in Europe (SHARE)

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  • Lumsdaine, Robin L.
  • Exterkate, Anneke

Abstract

This paper considers the role of question order and framing in evaluating subjective health assessment responses using the Survey of Health, Ageing and Retirement in Europe (SHARE) dataset. In the first wave of this dataset respondents were twice asked to evaluate their health on a five-point scale, using two different sets of descriptors to define the five points, with the ordering of which set was first administered determined randomly. We document differences in inference in comparing those that were asked one question first versus those that were asked the other. We then consider determinants of the degree of concordance in responses to the two questions, as well as the characteristics of individuals that provide conflicting responses. Consistent with previous research for England (Bowling and Windsor, 2008. Journal of Epidemiology and Community Health 62, 81–85), there is evidence for eleven countries in Europe that individuals’ assessments of their health in response to the second question may be influenced by the battery of health questions that were asked following the first assessment.

Suggested Citation

  • Lumsdaine, Robin L. & Exterkate, Anneke, 2013. "How survey design affects self-assessed health responses in the Survey of Health, Ageing, and Retirement in Europe (SHARE)," European Economic Review, Elsevier, vol. 63(C), pages 299-307.
    • Handle: RePEc:eee:eecrev:v:63:y:2013:i:c:p:299-307
    DOI: 10.1016/j.euroecorev.2013.06.002
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    References listed on IDEAS

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    1. Susann Rohwedder & Steven J. Haider & Michael D. Hurd, 2006. "INCREASES IN WEALTH AMONG THE ELDERLY IN THE EARLY 1990s: HOW MUCH IS DUE TO SURVEY DESIGN?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(4), pages 509-524, December.
    2. Teresa Bago d’Uva & Maarten Lindeboom & Owen O’Donnell & Eddy van Doorslaer, 2011. "Slipping Anchor?: Testing the Vignettes Approach to Identification and Correction of Reporting Heterogeneity," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 875-906.
    3. Lindeboom, Maarten & van Doorslaer, Eddy, 2004. "Cut-point shift and index shift in self-reported health," Journal of Health Economics, Elsevier, vol. 23(6), pages 1083-1099, November.
    4. Crossley, Thomas F. & Kennedy, Steven, 2002. "The reliability of self-assessed health status," Journal of Health Economics, Elsevier, vol. 21(4), pages 643-658, July.
    5. Erik Meijer & Arie Kapteyn & Tatiana Andreyeva, 2011. "Internationally comparable health indices," Health Economics, John Wiley & Sons, Ltd., vol. 20(5), pages 600-619, May.
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    Cited by:

    1. Davillas, Apostolos & de Oliveira, Victor Hugo & Jones, Andrew M., 2023. "Is inconsistent reporting of self-assessed health persistent and systematic? Evidence from the UKHLS," Economics & Human Biology, Elsevier, vol. 49(C).
    2. Kools, Lieke & Knoef, Marike, 2019. "Health and consumption preferences; estimating the health state dependence of utility using equivalence scales," European Economic Review, Elsevier, vol. 113(C), pages 46-62.
    3. Kim, Y-S. & Lee, M-J., 2016. "Generalized Difference in Differences for Ordinal Responses with a Varying Number of Categories," Health, Econometrics and Data Group (HEDG) Working Papers 16/19, HEDG, c/o Department of Economics, University of York.
    4. Black, Nicole & Johnston, David W. & Shields, Michael A. & Suziedelyte, Agne, 2017. "Who provides inconsistent reports of their health status? The importance of age, cognitive ability and socioeconomic status," Social Science & Medicine, Elsevier, vol. 191(C), pages 9-18.
    5. Black, Nicole & Johnston, David W. & Suziedelyte, Agne, 2017. "Justification bias in self-reported disability: New evidence from panel data," Journal of Health Economics, Elsevier, vol. 54(C), pages 124-134.
    6. Reisinger, James, 2022. "Subjective well-being and social desirability," Journal of Public Economics, Elsevier, vol. 214(C).

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    More about this item

    Keywords

    Concordance; Survey bias; Subjective response; Question order;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • I1 - Health, Education, and Welfare - - Health

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