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Who provides inconsistent reports of their health status? The importance of age, cognitive ability and socioeconomic status

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  • Black, Nicole
  • Johnston, David W.
  • Shields, Michael A.
  • Suziedelyte, Agne

Abstract

Self-assessed health (SAH) measures are widely used in models of health and health inequalities. Such models assume that SAH is a reliable measure of health status. We utilise a unique feature of a national longitudinal survey to examine the consistency of responses to a standard SAH question that is asked twice to the same individual in close temporal proximity in up to three waves (2001, 2009, and 2013). In particular, we analyse whether the consistency of responses varies with personal characteristics. The main analysis sample includes 18,834 individual-year observations. We find that 57% of respondents provide inconsistent reports at least once. Characteristics that are associated with significantly higher inconsistencies are age, education, cognitive ability, and time between responses. The results suggest that there are systematic differences in the ability of individuals’ to self-evaluate and summarise their own health. Consequently, failure to account for such error may lead to large estimation biases in models of health outcomes, particularly with respect to the relationship between education, cognitive ability, and health.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:socmed:v:191:y:2017:i:c:p:9-18
    DOI: 10.1016/j.socscimed.2017.08.032
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    as
    1. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "The dynamics of health in the British Household Panel Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 473-503.
    2. Marcel Kerkhofs & Maarten Lindeboom, 1995. "Subjective health measures and state dependent reporting errors," Health Economics, John Wiley & Sons, Ltd., vol. 4(3), pages 221-235, May.
    3. Hyslop, Dean R & Imbens, Guido W, 2001. "Bias from Classical and Other Forms of Measurement Error," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 475-481, October.
    4. Au, Nicole & Johnston, David W., 2014. "Self-assessed health: What does it mean and what does it hide?," Social Science & Medicine, Elsevier, vol. 121(C), pages 21-28.
    5. 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.
    6. Layes, Audrey & Asada, Yukiko & Kephart, George, 2012. "Whiners and deniers – What does self-rated health measure?," Social Science & Medicine, Elsevier, vol. 75(1), pages 1-9.
    7. Gabriella Conti & Stephen Pudney, 2011. "Survey Design and the Analysis of Satisfaction," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 1087-1093, August.
    8. repec:hal:wpaper:halshs-00590524 is not listed on IDEAS
    9. Fabrice Etilé & Carine Milcent, 2006. "Income‐related reporting heterogeneity in self‐assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981, September.
    10. Teresa Bago d'Uva & Maarten Lindeboom & Owen O'Donnell & Eddy van Doorslaer, 2011. "Education‐related inequity in healthcare with heterogeneous reporting of health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 639-664, July.
    11. Suziedelyte, Agne & Johar, Meliyanni, 2013. "Can you trust survey responses? Evidence using objective health measures," Economics Letters, Elsevier, vol. 121(2), pages 163-166.
    12. Holford, Angus J. & Pudney, Stephen, 2015. "Survey Design and the Determinants of Subjective Wellbeing: An Experimental Analysis," IZA Discussion Papers 8760, Institute of Labor Economics (IZA).
    13. Sendhil Mullainathan & Marianne Bertrand, 2001. "Do People Mean What They Say? Implications for Subjective Survey Data," American Economic Review, American Economic Association, vol. 91(2), pages 67-72, May.
    14. Cutler, David M. & Lleras-Muney, Adriana, 2010. "Understanding differences in health behaviors by education," Journal of Health Economics, Elsevier, vol. 29(1), pages 1-28, January.
    15. 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.
    16. Kathryn H. Anderson & Richard V. Burkhauser, 1985. "The Retirement-Health Nexus: A New Measure of an Old Puzzle," Journal of Human Resources, University of Wisconsin Press, vol. 20(3), pages 315-330.
    17. Gunasekara, Fiona Imlach & Carter, Kristie & Blakely, Tony, 2012. "Comparing self-rated health and self-assessed change in health in a longitudinal survey: Which is more valid?," Social Science & Medicine, Elsevier, vol. 74(7), pages 1117-1124.
    18. Fabrice Etilé & Carine Milcent, 2006. "Income-related reporting heterogeneity in self-assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981.
    19. Mark Wooden, 2013. "The Measurement of Cognitive Ability in Wave 12 of the HILDA Survey," Melbourne Institute Working Paper Series wp2013n44, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    20. repec:hal:psewpa:halshs-00590524 is not listed on IDEAS
    21. Meer, Jonathan & Miller, Douglas L. & Rosen, Harvey S., 2003. "Exploring the health-wealth nexus," Journal of Health Economics, Elsevier, vol. 22(5), pages 713-730, September.
    22. William H. Greene & Mark N. Harris & Bruce Hollingsworth, 2015. "Inflated Responses in Measures of Self-Assessed Health," American Journal of Health Economics, MIT Press, vol. 1(4), pages 461-493, Fall.
    23. 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.
    24. 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.
    25. Maarten Lindeboom & Marcel Kerkhofs, 2009. "Health and work of the elderly: subjective health measures, reporting errors and endogeneity in the relationship between health and work," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 1024-1046.
    26. John Bound, 1991. "Self-Reported Versus Objective Measures of Health in Retirement Models," Journal of Human Resources, University of Wisconsin Press, vol. 26(1), pages 106-138.
    27. Philip M. Clarke & Chris Ryan, 2006. "Self‐reported health: reliability and consequences for health inequality measurement," Health Economics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-652, June.
    28. Rucker C. Johnson, 2010. "The Health Returns of Education Policies from Preschool to High School and Beyond," American Economic Review, American Economic Association, vol. 100(2), pages 188-194, May.
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