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The Wealth of Wealthholders

Author

Listed:
  • John Ameriks
  • Andrew Caplin
  • Minjoon Lee
  • Matthew D. Shapiro
  • Christopher Tonetti

Abstract

Wealth, though crucial for modeling economic behavior and understanding well-being, is difficult to measure in surveys. This paper introduces a new, comprehensive account-by-account approach for eliciting asset holding. This approach is implemented in the Vanguard Research Initiative, a panel of wealthholders designed to yield high-quality measurements for a large sample of older Americans with significant financial assets. Because survey responses are linked to administrative account balances, this paper can show that the approach yields precise, unbiased estimates. Having accurate and dense data on the wealth of wealthholders provides sharper inferences on wealth management behavior as well as on relationships between wealth and economic behavior than is possible in leading datasets.

Suggested Citation

  • John Ameriks & Andrew Caplin & Minjoon Lee & Matthew D. Shapiro & Christopher Tonetti, 2015. "The Wealth of Wealthholders," NBER Working Papers 20972, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:20972
    Note: AG EFG ME PR
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    Cited by:

    1. John Ameriks & Joseph Briggs & Andrew Caplin & Minjoon Lee & Matthew D. Shapiro & Christopher Tonetti, 2018. "Shocks and Transitions from Career Jobs to Bridge Jobs and Retirement: A New Approach," Working Papers wp380, University of Michigan, Michigan Retirement Research Center.
    2. Pamela Giustinelli & Matthew D. Shapiro, 2018. "SeaTE: Subjective ex ante Treatment Effect of Health on Retirement," Working Papers wp382, University of Michigan, Michigan Retirement Research Center.
    3. Matthew Shapiro & Joseph Briggs & Chris Tonetti & Andrew Caplin & John Ameriks, 2016. "Late-in-Life Risks and the Under-Insurance Puzzle," 2016 Meeting Papers 241, Society for Economic Dynamics.
    4. Mi Luo & Matthew Shapiro & Joseph Briggs & Chris Tonetti & Andrew Caplin & John Ameriks, 2016. "Inter-generational transfers and precautionary saving," 2016 Meeting Papers 1616, Society for Economic Dynamics.
    5. Madeira, Carlos & Margaretic, Paula, 2022. "The impact of financial literacy on the quality of self-reported financial information," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    6. John Ameriks & Joseph Briggs & Andrew Caplin & Matthew D. Shapiro & Christopher Tonetti, 2016. "The Long-Term-Care Insurance Puzzle: Modeling and Measurement," NBER Working Papers 22726, National Bureau of Economic Research, Inc.
    7. John Ameriks & Joseph Briggs & Andrew Caplin & Matthew D. Shapiro & Christopher Tonetti, 2020. "Long-Term-Care Utility and Late-in-Life Saving," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2375-2451.
    8. Lee, Minjoon, 2023. "Portfolio allocation over the life cycle with multiple late-in-life saving motives," Journal of Empirical Finance, Elsevier, vol. 74(C).

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    More about this item

    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
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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