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Using a Life Cycle Model to Evaluate Financial Literacy Program Effectiveness

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  • Annamaria Lusardi
  • Pierre-Carl Michaud
  • Olivia S. Mitchell

Abstract

Prior studies disagree regarding the effectiveness of financial literacy programs, especially those offered in the workplace. To explain such measurement differences in evaluation and outcomes, we employ a stochastic life cycle model with endogenous financial knowledge accumulation to investigate how financial education programs optimally shape key economic outcomes. This approach permits us to measure how such programs shape wealth accumulation, financial knowledge, and participation in sophisticated assets (e.g. stocks) across heterogeneous consumers. We then apply conventional program evaluation econometric techniques to simulated data, distinguishing selection and treatment effects. We show that the more effective programs provide follow-up in order to sustain the knowledge acquired by employees via the program; in such an instance, financial education delivered to employeees around the age of 40 can raise savings at retirement by close to 10%. By contrast, one-time education programs do produce short-term but few long-term effects. We also measure how accounting for selection affects estimates of program effectiveness on those who participate. Comparisons of participants and non-participants can be misleading, even using a difference-in-difference strategy. Random program assignment is needed to evaluate program effects on those who participate.

Suggested Citation

  • Annamaria Lusardi & Pierre-Carl Michaud & Olivia S. Mitchell, 2015. "Using a Life Cycle Model to Evaluate Financial Literacy Program Effectiveness," Cahiers de recherche 1505, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
  • Handle: RePEc:lvl:criacr:1505
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    References listed on IDEAS

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    4. Patrick J. Bayer & B. Douglas Bernheim & John Karl Scholz, 2009. "The Effects Of Financial Education In The Workplace: Evidence From A Survey Of Employers," Economic Inquiry, Western Economic Association International, vol. 47(4), pages 605-624, October.
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    6. Mitchell, Olivia S. & Utkus, Stephen P. (ed.), 2004. "Pension Design and Structure: New Lessons from Behavioral Finance," OUP Catalogue, Oxford University Press, number 9780199273393.
    7. Annamaria Lusardi & Olivia S. Mitchell, 2017. "How Ordinary Consumers Make Complex Economic Decisions: Financial Literacy and Retirement Readiness," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 1-31, September.
    8. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
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    Cited by:

    1. Balasubramnian, Bhanu & Sargent, Carol Springer, 2020. "Impact of inflated perceptions of financial literacy on financial decision making," Journal of Economic Psychology, Elsevier, vol. 80(C).
    2. Julia Le Blanc & Alessandro Porpiglia & Federica Teppa & Junyi Zhu & Michael Ziegelmeyer, 2016. "Household Saving Behavior in the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 12(2), pages 15-69, June.

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    More about this item

    Keywords

    Life cycle model; financial literacy; financial decision-making; financial education; program evaluation; difference-in-difference;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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