The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Save More Tomorrow™: Using Behavioral Economics to Increase Employee Saving
Abstract
As firms switch from defined-benefit plans to defined-contribution plans, employees bear more responsibility for making decisions about how much to save. The employees who fail to join the plan or who participate at a very low level appear to be saving at less than the predicted life cycle savings rates. Behavioral explanations for this be-havior stress bounded rationality and self-control and suggest that at least some of the low-saving households are making a mistake and would welcome aid in making decisions about their saving. In this paper, we propose such a prescriptive savings program, called Save More Tomorrow (hereafter, the SMarT program). The essence of the program is straightforward: people commit in advance to allocat-ing a portion of their future salary increases toward retirement savings. We report evidence on the first three implementations of the SMarT program. Our key findings, from the first implementation, which has We are grateful to Brian Tarbox for implementing the Save More Tomorrow plan and for sharing the data with us. We would also like to thank many people at the following
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Cites
Advances in prospect theory: Cumulative representation of uncertainty
Tversky, A., & Kahneman, D. (1992) · Journal of Risk and Uncertainty · doi:10.1007/bf00122574 · Cited by 15,467
Golden eggs and hyperbolic discounting
Laibson, D. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555253 · Cited by 6,122
Status quo bias in decision making
Samuelson, W., & Zeckhauser, R. (1988) · Journal of Risk and Uncertainty · doi:10.1007/bf00055564 · Cited by 5,897
Experimental Tests of the Endowment Effect and the Coase Theorem
Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1990) · Journal of Political Economy · doi:10.1086/261737 · Cited by 3,194
Self-citationMyopia and Inconsistency in Dynamic Utility Maximization
Strotz, R. H. (1955) · The Review of Economic Studies · doi:10.2307/2295722 · Cited by 2,834
Specious reward: A behavioral theory of impulsiveness and impulse control.
Ainslie, G. (1975) · Psychological Bulletin · doi:10.1037/h0076860 · Cited by 2,708 · cited 2×
“Modern models of these problems use the concept of hyperbolic discounting (see Ainslie, 1975). Since Strotz’s (1955) early paper, economists have known that intertemporal choices are only time consistent if agents discount exponentially using a discount rate that is constant over time.”
BackgroundAn economic theory of self-control.
Thaler, R. H., & Shefrin, H. M. (1981) · Journal of Political Economy · doi:10.1086/260971 · Cited by 2,203
Self-citationThaler, R. H., & Sunstein, C. R. (2003) · American Economic Review · doi:10.1257/000282803321947001 · Cited by 1,874
Self-citationO'Donoghue, T., & Rabin, M. (2001) · The Quarterly Journal of Economics · doi:10.1162/003355301556365 · Cited by 944
Cited by
The Economic Importance of Financial Literacy: Theory and Evidence
Lusardi, A., & Mitchell, O. S. (2014) · Journal of Economic Literature · doi:10.1257/jel.52.1.5 · Cited by 4,698
Haushofer, J., & Fehr, E. (2014) · Science · doi:10.1126/science.1232491 · Cited by 1,638
Consumers and artificial intelligence: An experiential perspective
Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021) · Journal of Marketing · doi:10.1177/0022242920953847 · Cited by 1,547
Financial Literacy, Financial Education, and Economic Outcomes
Hastings, J. S., Madrian, B. C., & Skimmyhorn, W. L. (2013) · Annual Review of Economics · doi:10.1146/annurev-economics-082312-125807 · Cited by 1,041
Behavioral Economics: Past, Present, and Future
Thaler, R. H. (2016) · American Economic Review · doi:10.1257/aer.106.7.1577 · Cited by 799
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Metadata
- Authors
- Thaler, R. H., & Benartzi, S.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 2004-02
- Volume
- 112
- Issue
- S1
- Pages
- S164-S187
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W2108946685
- Cited by
- 2,483
- References
- 9
- FWCI
- 253.78
- Type
- journal article
- Language
- en
- Open access
- closed
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