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How much to save? Decision costs and retirement plan participation

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  • Goldin, Jacob
  • Homonoff, Tatiana
  • Patterson, Richard
  • Skimmyhorn, William

Abstract

Deciding how much to save for retirement can be complicated. Drawing on a field experiment conducted with the Department of Defense, we study whether such complexity depresses participation in an employer-sponsored retirement saving plan. We find that simplifying one dimension of the enrollment decision, by highlighting a potential rate at which non-participants might contribute, increases participation in the plan. Similar communications that did not include a highlighted rate yield smaller effects. The results highlight how reducing complexity on the intensive margin of a decision (how much to contribute) can affect extensive margin behavior (whether to contribute at all) in a setting of policy interest.

Suggested Citation

  • Goldin, Jacob & Homonoff, Tatiana & Patterson, Richard & Skimmyhorn, William, 2020. "How much to save? Decision costs and retirement plan participation," Journal of Public Economics, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:pubeco:v:191:y:2020:i:c:s0047272720301110
    DOI: 10.1016/j.jpubeco.2020.104247
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    1. repec:mpr:mprres:7375 is not listed on IDEAS
    2. Beshears, John & Choi, James J. & Laibson, David & Madrian, Brigitte C., 2013. "Simplification and saving," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 130-145.
    3. Jacob Goldin & Tatiana Homonoff & Will Tucker-Ray, 2017. "Retirement Contribution Rate Nudges and Plan Participation: Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 107(5), pages 456-461, May.
    4. Steffen Altmann & Armin Falk & Paul Heidhues & Rajshri Jayaraman & Marrit Teirlinck, 2019. "Defaults and Donations: Evidence from a Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 808-826, December.
    5. James J. Choi & David Laibson & Brigitte C. Madrian, 2009. "Reducing the Complexity Costs of 401(k) Participation Through Quick Enrollment," NBER Chapters, in: Developments in the Economics of Aging, pages 57-82, National Bureau of Economic Research, Inc.
    6. Dur, Robert & Fleming, Dimitry & van Garderen, Marten & van Lent, Max, 2021. "A social norm nudge to save more: A field experiment at a retail bank," Journal of Public Economics, Elsevier, vol. 200(C).
    7. Jason Abaluck & Jonathan Gruber, 2011. "Choice Inconsistencies among the Elderly: Evidence from Plan Choice in the Medicare Part D Program," American Economic Review, American Economic Association, vol. 101(4), pages 1180-1210, June.
    8. John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian & William L. Skimmyhorn, 2022. "Borrowing to Save? The Impact of Automatic Enrollment on Debt," Journal of Finance, American Finance Association, vol. 77(1), pages 403-447, February.
    9. Edwards, James T. & List, John A., 2014. "Toward an understanding of why suggestions work in charitable fundraising: Theory and evidence from a natural field experiment," Journal of Public Economics, Elsevier, vol. 114(C), pages 1-13.
    10. Jeffrey R. Kling & Sendhil Mullainathan & Eldar Shafir & Lee C. Vermeulen & Marian V. Wrobel, 2012. "Comparison Friction: Experimental Evidence from Medicare Drug Plans," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(1), pages 199-235.
    11. Joshua Blumenstock & Michael Callen & Tarek Ghani, 2018. "Why Do Defaults Affect Behavior? Experimental Evidence from Afghanistan," American Economic Review, American Economic Association, vol. 108(10), pages 2868-2901, October.
    12. Choi, James J. & Haisley, Emily & Kurkoski, Jennifer & Massey, Cade, 2017. "Small cues change savings choices," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 378-395.
    13. Lieber, Ethan M.J. & Skimmyhorn, William, 2018. "Peer effects in financial decision-making," Journal of Public Economics, Elsevier, vol. 163(C), pages 37-59.
    14. Goldin, Jacob & Reck, Daniel, 2020. "Revealed-preference analysis with framing effects," LSE Research Online Documents on Economics 101443, London School of Economics and Political Science, LSE Library.
    15. John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian & Katherine L. Milkman, 2015. "The Effect of Providing Peer Information on Retirement Savings Decisions," Journal of Finance, American Finance Association, vol. 70(3), pages 1161-1201, June.
    16. Castleman, Benjamin L. & Murphy, Francis X. & Patterson, Richard & Skimmyhorn, William L., 2019. "Active Choice Framing and Intergenerational Education Benefits: Evidence from the Field," IZA Discussion Papers 12523, Institute of Labor Economics (IZA).
    17. Jacob Goldin & Daniel Reck, 2020. "Revealed-Preference Analysis with Framing Effects," Journal of Political Economy, University of Chicago Press, vol. 128(7), pages 2759-2795.
    18. Loibl, Cäzilia & Kraybill, David S. & DeMay, Sara Wackler, 2011. "Accounting for the role of habit in regular saving," Journal of Economic Psychology, Elsevier, vol. 32(4), pages 581-592, August.
    19. Saurabh Bhargava & George Loewenstein & Justin Sydnor, 2017. "Choose to Lose: Health Plan Choices from a Menu with Dominated Option," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1319-1372.
    20. William L. Skimmyhorn, 2016. "Comparing Military and Civilian Household Finances: Descriptive Evidence from Recent Surveys," Journal of Consumer Affairs, Wiley Blackwell, vol. 50(2), pages 471-483, July.
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    Cited by:

    1. Rob Bauer & Inka Eberhardt & Paul Smeets, 2022. "A Fistful of Dollars: Financial Incentives, Peer Information, and Retirement Savings," The Review of Financial Studies, Society for Financial Studies, vol. 35(6), pages 2981-3020.
    2. Dur, Robert & Fleming, Dimitry & van Garderen, Marten & van Lent, Max, 2021. "A social norm nudge to save more: A field experiment at a retail bank," Journal of Public Economics, Elsevier, vol. 200(C).
    3. Bucher-Koenen, Tabea & Knebel, Caroline & Weber, Martin, 2023. "Do individuals accept fluctuations in pension income?," ZEW Discussion Papers 23-019, ZEW - Leibniz Centre for European Economic Research.

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    More about this item

    Keywords

    Retirement savings; Complexity; Nudges; Decision costs; Household finance;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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