IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v37y2024i8p2510-2549..html
   My bibliography  Save this article

Digitalization and Retirement Contribution Behavior: Evidence from Administrative Data

Author

Listed:
  • Claudio Daminato
  • Massimo Filippini
  • Fabio Haufler

Abstract

Retirement savings decisions are increasingly mediated by digital technologies that promise to help individuals plan adequately for their retirement. We exploit a natural experiment to show that introducing a digital pension application increases the probability of making a voluntary retirement contribution by 1.8 percentage points, from an average pretreatment contribution rate of 2.8%. Men and higher-income earners are more likely to respond to the app introduction. We then leverage a field experiment to show that using the app affects contribution behavior mainly through reducing the “hassle” costs of making contributions, rather than by providing information on the associated tax savings.

Suggested Citation

  • Claudio Daminato & Massimo Filippini & Fabio Haufler, 2024. "Digitalization and Retirement Contribution Behavior: Evidence from Administrative Data," The Review of Financial Studies, Society for Financial Studies, vol. 37(8), pages 2510-2549.
    • Handle: RePEc:oup:rfinst:v:37:y:2024:i:8:p:2510-2549.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhae015
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gopi Shah Goda & Colleen Flaherty Manchester & Aaron Sojourner, 2012. "What Will My Account Really Be Worth? An Experiment on Exponential Growth Bias and Retirement Saving," NBER Working Papers 17927, National Bureau of Economic Research, Inc.
    2. Andreas Fagereng & Charles Gottlieb & Luigi Guiso, 2017. "Asset Market Participation and Portfolio Choice over the Life-Cycle," Journal of Finance, American Finance Association, vol. 72(2), pages 705-750, April.
    3. Goda, Gopi Shah & Manchester, Colleen Flaherty & Sojourner, Aaron J., 2014. "What will my account really be worth? Experimental evidence on how retirement income projections affect saving," Journal of Public Economics, Elsevier, vol. 119(C), pages 80-92.
    4. Annamaria Lusardi & Olivia S. Mitchell, 2008. "Planning and Financial Literacy: How Do Women Fare?," American Economic Review, American Economic Association, vol. 98(2), pages 413-417, May.
    5. Mastrobuoni, Giovanni, 2011. "The role of information for retirement behavior: Evidence based on the stepwise introduction of the Social Security Statement," Journal of Public Economics, Elsevier, vol. 95(7), pages 913-925.
    6. Francesco D’Acunto & Nagpurnanand Prabhala & Alberto G Rossi, 2019. "The Promises and Pitfalls of Robo-Advising," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1983-2020.
    7. 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.
    8. Keys, Benjamin J. & Pope, Devin G. & Pope, Jaren C., 2016. "Failure to refinance," Journal of Financial Economics, Elsevier, vol. 122(3), pages 482-499.
    9. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
    10. Daminato, Claudio & Pistaferri, Luigi, 2020. "Family labor supply and asset returns," European Economic Review, Elsevier, vol. 124(C).
    11. Scott R Baker & Lorenz Kueng & Steffen Meyer & Michaela Pagel, 2022. "Consumption Imputation Errors in Administrative Data," The Review of Financial Studies, Society for Financial Studies, vol. 35(6), pages 3021-3059.
    12. Jappelli, Tullio & Padula, Mario, 2013. "Investment in financial literacy and saving decisions," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2779-2792.
    13. Francesco D'Acunto & Alberto G. Rossi & Michael Weber & Michael Weber, 2019. "Crowdsourcing financial information to change spending behavior," CESifo Working Paper Series 7533, CESifo.
    14. Brigitte C. Madrian & Dennis F. Shea, 2001. "The Power of Suggestion: Inertia in 401(k) Participation and Savings Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1149-1187.
    15. Saurabh Bhargava & Dayanand Manoli, 2015. "Psychological Frictions and the Incomplete Take-Up of Social Benefits: Evidence from an IRS Field Experiment," American Economic Review, American Economic Association, vol. 105(11), pages 3489-3529, November.
    16. Andreas Fuster & Paul Goldsmith‐Pinkham & Tarun Ramadorai & Ansgar Walther, 2022. "Predictably Unequal? The Effects of Machine Learning on Credit Markets," Journal of Finance, American Finance Association, vol. 77(1), pages 5-47, February.
    17. Andrew Caplin & Mark Dean, 2015. "Revealed Preference, Rational Inattention, and Costly Information Acquisition," American Economic Review, American Economic Association, vol. 105(7), pages 2183-2203, July.
    18. Buchak, Greg & Matvos, Gregor & Piskorski, Tomasz & Seru, Amit, 2018. "Fintech, regulatory arbitrage, and the rise of shadow banks," Journal of Financial Economics, Elsevier, vol. 130(3), pages 453-483.
    19. Koont, Naz & Santos, Tano & Zingales, Luigi, 2023. "Destabilizing digital "bank walks"," Working Papers 328, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    20. Jeffrey B. Liebman & Erzo F. P. Luttmer, 2015. "Would People Behave Differently If They Better Understood Social Security? Evidence from a Field Experiment," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 275-299, February.
    21. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2009. "Fight or Flight? Portfolio Rebalancing by Individual Investors," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 301-348.
    22. Marius Brülhart & Jonathan Gruber & Matthias Krapf & Kurt Schmidheiny, 2022. "Behavioral Responses to Wealth Taxes: Evidence from Switzerland," American Economic Journal: Economic Policy, American Economic Association, vol. 14(4), pages 111-150, November.
    23. Dolls, Mathias & Doerrenberg, Philipp & Peichl, Andreas & Stichnoth, Holger, 2018. "Do retirement savings increase in response to information about retirement and expected pensions?," Journal of Public Economics, Elsevier, vol. 158(C), pages 168-179.
    24. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    25. James J. Choi & David Laibson & Brigitte C. Madrian, 2011. "$100 Bills on the Sidewalk: Suboptimal Investment in 401(k) Plans," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 748-763, August.
    26. Greg Kaplan & Giovanni L. Violante, 2014. "A Model of the Consumption Response to Fiscal Stimulus Payments," Econometrica, Econometric Society, vol. 82(4), pages 1199-1239, July.
    27. Dean Karlan & Margaret McConnell & Sendhil Mullainathan & Jonathan Zinman, 2016. "Getting to the Top of Mind: How Reminders Increase Saving," Management Science, INFORMS, vol. 62(12), pages 3393-3411, December.
    28. Raj Chetty, 2015. "Behavioral Economics and Public Policy: A Pragmatic Perspective," American Economic Review, American Economic Association, vol. 105(5), pages 1-33, May.
    29. Butler, Monika & Teppa, Federica, 2007. "The choice between an annuity and a lump sum: Results from Swiss pension funds," Journal of Public Economics, Elsevier, vol. 91(10), pages 1944-1966, November.
    30. Rowena Crawford & Cormac O'Dea, 2020. "Household portfolios and financial preparedness for retirement," Quantitative Economics, Econometric Society, vol. 11(2), pages 637-670, May.
    31. Steffen Andersen & John Y. Campbell & Kasper Meisner Nielsen & Tarun Ramadorai, 2020. "Sources of Inaction in Household Finance: Evidence from the Danish Mortgage Market," American Economic Review, American Economic Association, vol. 110(10), pages 3184-3230, October.
    32. Isil Erel & Jack Liebersohn & Constantine Yannelis & Samuel Earnest, 2023. "Monetary Policy Transmission Through Online Banks," NBER Working Papers 31380, National Bureau of Economic Research, Inc.
    33. Bruce Carlin & Arna Olafsson & Michaela Pagel, 2023. "Mobile Apps and Financial Decision Making," Review of Finance, European Finance Association, vol. 27(3), pages 977-996.
    34. Sumit Agarwal & Richard J. Rosen & Vincent Yao, 2016. "Why Do Borrowers Make Mortgage Refinancing Mistakes?," Management Science, INFORMS, vol. 62(12), pages 3494-3509, December.
    35. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Claudio Daminato & Massimo Filippini & Fabio Haufler, 2020. "Personalized Digital Information and Tax-favoured Retirement Savings: Quasi-experimental Evidence from Administrative Data," CER-ETH Economics working paper series 20/347, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    2. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    3. Mathias Dolls & Philipp Doerrenberg & Andreas Peichl & Holger Stichnoth, 2016. "Do Savings Increase in Response to Salient Information about Retirement and Expected Pensions?," NBER Working Papers 22684, National Bureau of Economic Research, Inc.
    4. Olckers, Matthew, 2021. "On track for retirement?," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 76-88.
    5. Dolls, Mathias & Doerrenberg, Philipp & Peichl, Andreas & Stichnoth, Holger, 2018. "Do retirement savings increase in response to information about retirement and expected pensions?," Journal of Public Economics, Elsevier, vol. 158(C), pages 168-179.
    6. Kay Blaufus & Michael Milde, 2021. "Tax Misperceptions and the Effect of Informational Tax Nudges on Retirement Savings," Management Science, INFORMS, vol. 67(8), pages 5011-5031, August.
    7. Blaufus, Kay & Milde, Michael, 2018. "Learning to save tax-efficiently: Tax misperceptions and the effect of informational tax nudges on retirement savings," arqus Discussion Papers in Quantitative Tax Research 225, arqus - Arbeitskreis Quantitative Steuerlehre.
    8. Dolls, Mathias & Doerrenberg, Philipp & Peichl, Andreas & Stichnoth, Holger, 2019. "Reprint of: Do retirement savings increase in response to information about retirement and expected pensions?," Journal of Public Economics, Elsevier, vol. 171(C), pages 105-116.
    9. Johannes Hagen & Daniel Hallberg & Gabriella Sjögren, 2022. "A Nudge to Quit? The Effect of a Change in Pension Information on Annuitisation, Labour Supply and Retirement Choices Among Older Workers," The Economic Journal, Royal Economic Society, vol. 132(643), pages 1060-1094.
    10. Stefania Basiglio & Noemi Oggero, 2020. "The Effects of Pension Information on Individuals’ Economic Outcomes: A Survey," Economies, MDPI, vol. 8(3), pages 1-16, August.
    11. Robert L. Clark & Jennifer A. Maki & Melinda Sandler Morrill, 2014. "Can Simple Informational Nudges Increase Employee Participation in a 401(k) Plan?," Southern Economic Journal, John Wiley & Sons, vol. 80(3), pages 677-701, January.
    12. Ana Costa-Ramón & Ursina Schaede & Michaela Slotwinski & Anne Ardila Brenøe, 2024. "(Not) thinking about the future: inattention and maternal labor supply," ECON - Working Papers 452, Department of Economics - University of Zurich.
    13. Goda, Gopi Shah & Levy, Matthew R. & Flaherty Manchester, Colleen & Sojourner, Aaron & Tasoff, Joshua & Xiao, Jiusi, 2023. "Are retirement planning tools substitutes or complements to financial capability?," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 561-573.
    14. Annamaria Lusardi & Olivia S. Mitchell, 2014. "The Economic Importance of Financial Literacy: Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 5-44, March.
    15. Burgherr, David, 2022. "Behavioral Responses to a Pension Savings Mandate : Quasi-experimental Evidence from Swiss Tax Data," CAGE Online Working Paper Series 645, Competitive Advantage in the Global Economy (CAGE).
    16. Adam Tejs Jørring, 2024. "Financial Sophistication and Consumer Spending," Journal of Finance, American Finance Association, vol. 79(6), pages 3773-3820, December.
    17. Bai, Chong-En & Chi, Wei & Liu, Tracy Xiao & Tang, Chao & Xu, Jian, 2021. "Boosting pension enrollment and household consumption by example: A field experiment on information provision," Journal of Development Economics, Elsevier, vol. 150(C).
    18. Noemi Oggero, 2023. "Retirement Expectations in the Aftermath of a Pension Reform," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 353-367, March.
    19. Mitchell, O.S. & Piggott, J., 2016. "Workplace-Linked Pensions for an Aging Demographic," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 865-904, Elsevier.
    20. Goda, Gopi Shah & Manchester, Colleen Flaherty & Sojourner, Aaron J., 2014. "What will my account really be worth? Experimental evidence on how retirement income projections affect saving," Journal of Public Economics, Elsevier, vol. 119(C), pages 80-92.

    More about this item

    Keywords

    C93; D14; D83; G51;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth

    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:oup:rfinst:v:37:y:2024:i:8:p:2510-2549.. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.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.