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What Determines End-of-Life Assets? A Retrospective View

In: Insights in the Economics of Aging

Author

Listed:
  • James M. Poterba
  • Steven F. Venti
  • David A. Wise

Abstract

We consider assets when individuals were last observed prior to death in the Health and Retirement Study (HRS) and trace assets backwards to the age when these individuals were first observed. For most individuals, assets in the last year observed (LYO) were very similar to assets in the first year observed (FYO). In particular, most of those who were last observed with very low asset levels also had low assets when first observed. We also estimate the relationship between an individual’s asset change between the first and last date of observation, that individual’s education and health status when first observed, and that individual’s within-sample changes in health and family composition. We obtain estimates for HRS respondents who were 51 to 61 in 1992 and for AHEAD respondents who were age 70 and over in 1993.
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Suggested Citation

  • James M. Poterba & Steven F. Venti & David A. Wise, 2015. "What Determines End-of-Life Assets? A Retrospective View," NBER Chapters, in: Insights in the Economics of Aging, pages 127-157, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:13629
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    1. James Smith, 2005. "Consequences and Predictors of New Health Events," NBER Chapters, in: Analyses in the Economics of Aging, pages 213-240, National Bureau of Economic Research, Inc.
    2. Samuel Marshall & Kathleen McGarry & Jonathan S. Skinner, 2011. "The Risk of Out-of-Pocket Health Care Expenditure at the End of Life," NBER Chapters, in: Explorations in the Economics of Aging, pages 101-128, National Bureau of Economic Research, Inc.
    3. Courtney Coile & Kevin Milligan, 2009. "How Household Portfolios Evolve After Retirement: The Effect Of Aging And Health Shocks," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(2), pages 226-248, June.
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    5. repec:eee:joecag:v:9:y:2017:i:c:p:172-184 is not listed on IDEAS
    6. Stephen Wu, 2003. "The Effects of Health Events on the Economic Status of Married Couples," Journal of Human Resources, University of Wisconsin Press, vol. 38(1).
    7. Fang Yang, 2005. "Accounting for the heterogeneity in retirement wealth," Working Papers 638, Federal Reserve Bank of Minneapolis, revised 2005.
    8. Jinkook Lee & Hyungsoo Kim, 2008. "A longitudinal analysis of the impact of health shocks on the wealth of elders," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(1), pages 217-230, January.
    9. Antoine Bozio & Carl Emmerson & Gemma Tetlow, 2011. "How much do lifetime earnings explain retirement resources?," IFS Working Papers W11/02, Institute for Fiscal Studies.
    10. James P. Smith, 1999. "Healthy Bodies and Thick Wallets: The Dual Relation between Health and Economic Status," Journal of Economic Perspectives, American Economic Association, vol. 13(2), pages 145-166, Spring.
    11. 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.
    12. Mariacristina De Nardi & Eric French & John Bailey Jones, 2016. "Savings After Retirement: A Survey," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 177-204, October.
    13. David C. Wyld, 2010. "ASecond Life for organizations?: managing in the new, virtual world," Management Research Review, Emerald Group Publishing, vol. 33(6), pages 529-562, May.
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    16. Venti, Steven F & Wise, David A, 1998. "The Cause of Wealth Dispersion at Retirement: Choice or Chance?," American Economic Review, American Economic Association, vol. 88(2), pages 185-191, May.
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    1. repec:eee:dyncon:v:84:y:2017:i:c:p:58-76 is not listed on IDEAS
    2. Huaxiong Huang & Moshe A. Milevsky & Thomas S. Salisbury, 2018. "Retirement spending and biological age," Papers 1811.09921, arXiv.org.
    3. Joelle Saad-Lessler & Teresa Ghilarducci & Gayle Reznik, 2017. "Defined Contribution Wealth Inequality: Role of Earnings Shocks, Portfolio Choice, and Employer Contributions," SCEPA working paper series. SCEPA's main areas of research are macroeconomic policy, inequality and poverty, and globalization. 2017-09, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    4. Teresa Ghilarducci & Joelle Saad-Lessler & Gayle Reznik, 2017. "Relative Wages in Aging America: Defined Contribution Wealth Inequality: Role of Earnings Shocks, Portfolio Choice, and Employer Contributions," SCEPA working paper series. SCEPA's main areas of research are macroeconomic policy, inequality and poverty, and globalization. 2017-06, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.

    More about this item

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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