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Health status over the life cycle

Author

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  • van Ooijen, R.
  • Alessi, R.
  • Knoef, M.

Abstract

We construct a health measurement model which combines panel data on self-reported health with a rich set of health measures from administrative medical records. Our estimated health model allows us to predict healthstatus for the population at large. We account both for unobserved heterogeneity and for the persistence in unobserved health shocks. To account for inconsistent reporting in self-reported health we propose a `corrected' health measure. We show that this `corrected' measure substantially increases the estimated persistence in health status. We use predicted health status to study the evolution of health as individuals age. Moreover, we analyzehow health interacts with economic variables and education. We find a strong gradient in education; the age at which health starts to decline at a greater rate differs by education and gender.

Suggested Citation

  • van Ooijen, R. & Alessi, R. & Knoef, M., 2015. "Health status over the life cycle," Health, Econometrics and Data Group (HEDG) Working Papers 15/21, HEDG, c/o Department of Economics, University of York.
    • Handle: RePEc:yor:hectdg:15/21
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    1. Anne Case & Angus S. Deaton, 2005. "Broken Down by Work and Sex: How Our Health Declines," NBER Chapters, in: Analyses in the Economics of Aging, pages 185-212, National Bureau of Economic Research, Inc.
    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. 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.
    4. Florian Heiss & Steven F. Venti & David A. Wise, 2014. "The Persistence and Heterogeneity of Health among Older Americans," NBER Working Papers 20306, National Bureau of Economic Research, Inc.
    5. Johnston, David W. & Propper, Carol & Shields, Michael A., 2009. "Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient," Journal of Health Economics, Elsevier, vol. 28(3), pages 540-552, May.
    6. Poterba, James M. & Venti, Steven F. & Wise, David A., 2017. "The asset cost of poor health," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 172-184.
    7. Mariacristina De Nardi & Eric French & John B. Jones, 2010. "Why Do the Elderly Save? The Role of Medical Expenses," Journal of Political Economy, University of Chicago Press, vol. 118(1), pages 39-75, February.
    8. 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.
    9. Bound, John & Schoenbaum, Michael & Stinebrickner, Todd R. & Waidmann, Timothy, 1999. "The dynamic effects of health on the labor force transitions of older workers," Labour Economics, Elsevier, vol. 6(2), pages 179-202, June.
    10. Lamers, Leida M. & van Vliet, Rene C. J. A., 2004. "The Pharmacy-based Cost Group model: validating and adjusting the classification of medications for chronic conditions to the Dutch situation," Health Policy, Elsevier, vol. 68(1), pages 113-121, April.
    11. McFadden, E. & Luben, R. & Bingham, S. & Wareham, N. & Kinmonth, A.-L. & Khaw, K.-T., 2009. "Does the association between self-rated health and mortality vary by social class?," Social Science & Medicine, Elsevier, vol. 68(2), pages 275-280, January.
    12. Bharadwaj, Prashant & Pai, Mallesh M. & Suziedelyte, Agne, 2017. "Mental health stigma," Economics Letters, Elsevier, vol. 159(C), pages 57-60.
    13. Andrew M. Jones & Xander Koolman & Nigel Rice, 2006. "Health‐related non‐response in the British Household Panel Survey and European Community Household Panel: using inverse‐probability‐weighted estimators in non‐linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 543-569, July.
    14. 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.
    15. David Roodman, 2011. "Fitting fully observed recursive mixed-process models with cmp," Stata Journal, StataCorp LP, vol. 11(2), pages 159-206, June.
    16. Catherine Ross & Ryan Masters & Robert Hummer, 2012. "Education and the Gender Gaps in Health and Mortality," Demography, Springer;Population Association of America (PAA), vol. 49(4), pages 1157-1183, November.
    17. Arie Kapteyn & Erik Meijer, 2014. "A Comparison of Different Measures of Health and their Relation to Labor Force Transitions at Older Ages," NBER Chapters, in: Discoveries in the Economics of Aging, pages 115-150, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Niccodemi, Gianmaria & Bijwaard, Govert, 2018. "Education, Intelligence and Diseases in Old Age," IZA Discussion Papers 11605, Institute of Labor Economics (IZA).
    2. Chiara Dal Bianco, 2023. "Disability Insurance and the Effects of Return-to-work Policies," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 351-373, July.
    3. White, Matthew N., 2023. "Self-reported health status and latent health dynamics," Journal of Health Economics, Elsevier, vol. 88(C).
    4. Cavapozzi, Danilo & Dal Bianco, Chiara, 2021. "The effect of work disability on the job involvement of older workers," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 724-739.

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    More about this item

    Keywords

    self-reported health; administrative data; health dynamics; health index; socio-economic status;
    All these keywords.

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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