IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/24803.html
   My bibliography  Save this paper

Financial Fraud among Older Americans: Evidence and Implications

Author

Listed:
  • Marguerite DeLiema
  • Martha Deevy
  • Annamaria Lusardi
  • Olivia S. Mitchell

Abstract

The consequences of poor financial capability at older ages are serious and include making mistakes with credit, spending retirement assets too quickly, and being defrauded by financial predators. Because older persons are at or past the peak of their wealth accumulation, they are often the targets of fraud. Our project analyzes a module we developed and fielded in the 2016 Health and Retirement Study (HRS). Using this dataset, we evaluate the incidence and risk factors for investment fraud, prize/lottery scams, and account misuse, using regression analysis. Relatively few HRS respondents mentioned any single form of fraud over the prior five years, but nearly 5% reported at least one form of investment fraud, 4 % recounted prize/lottery fraud, and 30% indicated that others had used/attempted to use their accounts without permission. There were few risk factors consistently associated with such victimization in the older population. Fraud is a complex phenomenon and no single factor uniquely predicts victimization. The incidence of fraud could be reduced by educating consumers about various types of fraud and by increasing awareness among financial service professionals.

Suggested Citation

  • Marguerite DeLiema & Martha Deevy & Annamaria Lusardi & Olivia S. Mitchell, 2018. "Financial Fraud among Older Americans: Evidence and Implications," NBER Working Papers 24803, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24803
    Note: AG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w24803.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elif Kubilay & Eva Raiber & Lisa Spantig & Jana Cahlíková & Lucy Kaaria, 2023. "Financial fraud in developing countries: Common scam detection tips do not help distinguish scam from non-scam messages," ECONtribute Policy Brief Series 056, University of Bonn and University of Cologne, Germany.
    2. Carlin, Bruce & Umar, Tarik & Yi, Hanyi, 2023. "Deputizing financial institutions to fight elder abuse," Journal of Financial Economics, Elsevier, vol. 149(3), pages 557-577.
    3. Brenner, Lukas & Meyll, Tobias & Stolper, Oscar & Walter, Andreas, 2020. "Consumer fraud victimization and financial well-being," Journal of Economic Psychology, Elsevier, vol. 76(C).
    4. Auer, Raphael & Tercero-Lucas, David, 2022. "Distrust or speculation? The socioeconomic drivers of U.S. cryptocurrency investments," Journal of Financial Stability, Elsevier, vol. 62(C).
    5. Jessie X. Fan & Zhou Yu, 2022. "Prevalence and Risk Factors of Consumer Financial Fraud in China," Journal of Family and Economic Issues, Springer, vol. 43(2), pages 384-396, June.
    6. Wei, Li & Peng, Ming & Wu, Weixing, 2021. "Financial literacy and fraud detection——Evidence from China," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 478-494.
    7. Kubilay, Elif & Raiber, Eva & Spantig, Lisa & Cahlíková, Jana & Kaaria, Lucy, 2023. "Can you spot a scam? Measuring and improving scam identification ability," Journal of Development Economics, Elsevier, vol. 165(C).
    8. Amitabh Chandra & Courtney Coile & Corina Mommaerts, 2023. "What Can Economics Say about Alzheimer's Disease?," Journal of Economic Literature, American Economic Association, vol. 61(2), pages 428-470, June.
    9. Hagen, Johannes & Malisa, Amedeus, 2022. "Financial fraud and individual investment behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 593-626.
    10. John Ameriks & Andrew Caplin & Minjoon Lee & Matthew D. Shapiro & Christopher Tonetti, 2023. "Cognitive Decline, Limited Awareness, Imperfect Agency, and Financial Well-Being," American Economic Review: Insights, American Economic Association, vol. 5(1), pages 125-140, March.
    11. Bruce I. Carlin & Tarik Umar & Hanyi Yi, 2020. "Deputization," NBER Working Papers 27225, National Bureau of Economic Research, Inc.
    12. Osvaldo García-Mata & Mariana Zerón-Félix, 2022. "A review of the theoretical foundations of financial well-being," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(2), pages 145-176, June.
    13. Xiao, Xiao & Li, Xiangyi & Zhou, Yi, 2022. "Financial literacy overconfidence and investment fraud victimization," Economics Letters, Elsevier, vol. 212(C).
    14. Burke, Jeremy & Kieffer, Christine & Mottola, Gary & Perez-Arce, Francisco, 2022. "Can educational interventions reduce susceptibility to financial fraud?," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 250-266.
    15. Kim, Hugh H. & Maurer, Raimond & Mitchell, Olivia S., 2021. "How financial literacy shapes the demand for financial advice at older ages," The Journal of the Economics of Ageing, Elsevier, vol. 20(C).
    16. Noviarini, Jelita & Coleman, Andrew & Roberts, Helen & Whiting, Rosalind H., 2021. "Financial literacy, debt, risk tolerance and retirement preparedness: Evidence from New Zealand," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    17. David Aristei & Manuela Gallo, 2021. "Financial Knowledge, Confidence, and Sustainable Financial Behavior," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
    18. Gallego-Losada, Rocío & Montero-Navarro, Antonio & Rodríguez-Sánchez, José-Luis & González-Torres, Thais, 2022. "Retirement planning and financial literacy, at the crossroads. A bibliometric analysis," Finance Research Letters, Elsevier, vol. 44(C).
    19. Li, Peng & Li, Qinghai & Du, Shanxing, 2024. "Does digital literacy help residents avoid becoming victims of frauds? Empirical evidence based on a survey of residents in six provinces of east China," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 364-377.
    20. Steven James Lee, 2021. "Does Fixed Income Buffer against Fraud Shocks?," JRFM, MDPI, vol. 14(10), pages 1-22, October.

    More about this item

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D18 - Microeconomics - - Household Behavior - - - Consumer Protection

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:24803. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.