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

In: Insights in the Economics of Aging

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  • 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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    References listed on IDEAS

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    Cited by:

    1. Huang, H. & Milevsky, M.A. & Salisbury, T.S., 2017. "Retirement spending and biological age," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 58-76.
    2. Richard Blundell & Margherita Borella & Jeanne Commault & Mariacristina De Nardi, 2024. "Old Age Risks, Consumption, and Insurance," American Economic Review, American Economic Association, vol. 114(2), pages 575-613, February.
    3. Iwaisako, Tokuo & 祝迫, 得夫 & Ono, Arito & Saito, Amane & Tokuda, Hidenobu, 2016. "Impact of population aging on household savings and portfolio choice in Japan," HIT-REFINED Working Paper Series 61, Institute of Economic Research, Hitotsubashi University.
    4. Gale, William & Gelfond, Hilary & Fichtner, Jason, 2018. "How Will Retirement Saving Change by 2050? Prospects for the Millennial Generation," MPRA Paper 99196, University Library of Munich, Germany.
    5. 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. 2017-09, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    6. Anthony Asher & Ramona Meyricke & Susan Thorp & Shang Wu, 2017. "Age pensioner decumulation: Responses to incentives, uncertainty and family need," Australian Journal of Management, Australian School of Business, vol. 42(4), pages 583-607, November.
    7. French Eric & Jones John Bailey & McCauley Jeremy, 2017. "The Accuracy of Economic Measurement in the Health and Retirement Study," Forum for Health Economics & Policy, De Gruyter, vol. 20(2), pages 1-16, December.
    8. 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. 2017-06, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    9. Richard Blundell & Margherita Borella & Jeanne Commault & Mariacristina De Nardi, 2020. "Why Does Consumption Fluctuate in Old Age and How Should the Government Insure it?," Opportunity and Inclusive Growth Institute Working Papers 40, Federal Reserve Bank of Minneapolis.

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    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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