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Inflated Responses in Measures of Self-Assessed Health

Author

Listed:
  • William H. Greene

    (New York University)

  • Mark N. Harris

    (Curtin University)

  • Bruce Hollingsworth

    (Lancaster University)

Abstract
This paper focuses on the self-reported responses given to survey questions of the form "Overall, how would you rate your health?" with typical response items being on a scale ranging from poor to excellent. Usually, the overwhelming majority of responses fall in either the middle category or the one immediately to the "right" of this (for example, good and very good). However, based on a wide range of other medical indicators, such favorable responses appear to paint an overly rosy picture of true health. The hypothesis here is that these "middle" responses have been, in some sense, inflated. That is, for whatever reason, a significant number of responders inaccurately report into these categories. Our results do indeed suggest that such inflation is present in these categories. Adjusted responses to these questions could lead to significant changes in policy, and should be reflected upon when analyzing and interpreting these scales.

Suggested Citation

  • William H. Greene & Mark N. Harris & Bruce Hollingsworth, 2015. "Inflated Responses in Measures of Self-Assessed Health," American Journal of Health Economics, University of Chicago Press, vol. 1(4), pages 461-493, Fall.
    • Handle: RePEc:ucp:amjhec:v:1:y:2015:i:4:p:461-493
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    as
    1. Andrew M. Jones & Stefanie Schurer, 2011. "How does heterogeneity shape the socioeconomic gradient in health satisfaction?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(4), pages 549-579, June.
    2. 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).
    3. Ulf Böckenholt & Sema Barlas & Peter G. M. van der Heijden, 2009. "Do randomized‐response designs eliminate response biases? An empirical study of non‐compliance behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(3), pages 377-392, April.
    4. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    5. Stephen Pudney & Michael Shields, 2000. "Gender, race, pay and promotion in the British nursing profession: estimation of a generalized ordered probit model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(4), pages 367-399.
    6. Butler, J S, et al, 1987. "Measurement Error in Self-reported Health Variables," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 644-650, November.
    7. 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.
    8. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    9. Winkelmann, Rainer, 1996. "Markov Chain Monte Carlo Analysis of Underreported Count Data with an Application to Worker Absenteeism," Empirical Economics, Springer, vol. 21(4), pages 575-587.
    10. Andrew M. Jones; Nigel Rice, Silvana Robone; & Nigel Rice; & Silvana Robone:, 2012. "A comparison of parametric and non-parametric adjustments using vignettes for self-reported data," Health, Econometrics and Data Group (HEDG) Working Papers 12/10, HEDG, c/o Department of Economics, University of York.
    11. Katharina Hauck & Bruce Hollingsworth, 2011. "Health dynamics, adaptation to illness and resource allocation," Applied Economics Letters, Taylor & Francis Journals, vol. 18(16), pages 1545-1548.
    12. Fred J. Prochaska & R. A. Schrimper, 1973. "Opportunity Cost of Time and Other Socioeconomic Effects on Away-From-Home Food Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(4_Part_1), pages 595-603.
    13. Andrew M. Jones & Nigel Rice & Paul Contoyannis, 2012. "The Dynamics of Health," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 2, Edward Elgar Publishing.
    14. Jesus M. Carro & Alejandra Traferri, 2014. "State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, March.
    15. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    16. Teresa Bago d'Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O'Donnell, 2008. "Does reporting heterogeneity bias the measurement of health disparities?," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 351-375, March.
    17. Andrew M. Jones (ed.), 2006. "The Elgar Companion to Health Economics," Books, Edward Elgar Publishing, number 3572.
    18. 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.
    19. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    20. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204, October.
    21. 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.
    22. 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.
    23. Disney, Richard & Emmerson, Carl & Wakefield, Matthew, 2006. "Ill health and retirement in Britain: A panel data-based analysis," Journal of Health Economics, Elsevier, vol. 25(4), pages 621-649, July.
    24. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    25. Mark Wooden & Nicole Watson, 2007. "The HILDA Survey and its Contribution to Economic and Social Research (So Far)," The Economic Record, The Economic Society of Australia, vol. 83(261), pages 208-231, June.
    26. Jones, Andrew M. & Rice, Nigel & Roberts, Jennifer, 2010. "Sick of work or too sick to work? Evidence on self-reported health shocks and early retirement from the BHPS," Economic Modelling, Elsevier, vol. 27(4), pages 866-880, July.
    27. Mossey, J.M. & Shapiro, E., 1982. "Self-rated health: a predictor of mortality among the elderly," American Journal of Public Health, American Public Health Association, vol. 72(8), pages 800-808.
    28. Marmorstein, Howard & Grewal, Dhruv & Fishe, Raymond P H, 1992. "The Value of Time Spent in Price-Comparison Shopping: Survey and Experimental Evidence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(1), pages 52-61, June.
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    More about this item

    Keywords

    American; health; health economics; health policy; incentives; health behaviors; health care; insurance coverage; survey; self-report;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I19 - Health, Education, and Welfare - - Health - - - Other

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