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Health Shocks and the Evolution of Consumption and Income over the Life-Cycle

Author

Listed:
  • Michael Keane

    (School of Economics, UNSW Business School, UNSW Sydney)

  • Elena Capatina

    (Research School of Economics, Austrlian National University)

  • Shiko Maruyama

    (Economics Discipline Group, UTS Business School, University of Technology Sydney)

Abstract
This paper studies the effects of health on earnings dynamics and on consumption inequality over the life-cycle. We build and calibrate a life-cycle model with idiosyncratic health, earnings and survival risk where individuals make labor supply and asset accumulation decisions, adding two novel features. First, we model health as a complex multi-dimensional concept. We differentiate between functional health and underlying health risk, temporary vs. persistent health shocks, and predictable vs. unpredictable shocks. Second, we study the interactions between health and human capital accumulation (learning-by-doing). These features are important in allowing the model to capture the degree to which, and the pathways through which, health impacts earnings and consumption patterns. They are also very important in estimating the value of health insurance and social insurance. A key finding is that health shocks account for roughly half of the growth in offer wage inequality over the life cycle. Eliminating health shocks leads to a 5.5% decline in the variance of the present value of earnings across all individuals.

Suggested Citation

  • Michael Keane & Elena Capatina & Shiko Maruyama, 2018. "Health Shocks and the Evolution of Consumption and Income over the Life-Cycle," Discussion Papers 2018-14, School of Economics, The University of New South Wales.
    • Handle: RePEc:swe:wpaper:2018-14
    as

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    File URL: http://research.economics.unsw.edu.au/RePEc/papers/2018-14.pdf
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    References listed on IDEAS

    as
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    3. Susumu Imai & Michael P. Keane, 2004. "Intertemporal Labor Supply and Human Capital Accumulation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 601-641, May.
    4. Zvi Eckstein & Kenneth I. Wolpin, 1989. "Dynamic Labour Force Participation of Married Women and Endogenous Work Experience," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(3), pages 375-390.
    5. Peter Adams & Michael D. Hurd & Daniel L. McFadden & Angela Merrill & Tiago Ribeiro, 2004. "Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status," NBER Chapters, in: Perspectives on the Economics of Aging, pages 415-526, National Bureau of Economic Research, Inc.
    6. Finkelstein, Amy & McKnight, Robin, 2008. "What did Medicare do? The initial impact of Medicare on mortality and out of pocket medical spending," Journal of Public Economics, Elsevier, vol. 92(7), pages 1644-1668, July.
    7. Joseph J. Doyle, 2011. "Returns to Local-Area Health Care Spending: Evidence from Health Shocks to Patients Far from Home," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 221-243, July.
    8. Zhou Yang & Donna B. Gilleskie & Edward C. Norton, 2009. "Health Insurance, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. de la Croix, David & Pommeret, Aude, 2021. "Childbearing postponement, its option value, and the biological clock," Journal of Economic Theory, Elsevier, vol. 193(C).
    2. Jack Britton & Eric French, 2020. "Health and Employment amongst Older Workers," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 221-250, March.
    3. Richard Blundell & Jack Britton & Monica Costa Dias & Eric French & Weijian Zou, 2022. "The Dynamic Effects of Health on the Employment of Older Workers: Impacts by Gender, Country, and Race," Working Papers wp451, University of Michigan, Michigan Retirement Research Center.

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    More about this item

    Keywords

    Health; Income Risk; Precautionary Saving; Health Insurance; Welfare;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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