IDEAS home Printed from https://ideas.repec.org/p/jgu/wpaper/2205.html
   My bibliography  Save this paper

Time Inconsistency and Overdraft Use: Evidence from Transaction Data and Behavioral Measurement Experiments

Author

Listed:
  • Andrej Gill

    (Johannes Gutenberg University Mainz)

  • Florian Hett

    (Johannes Gutenberg University Mainz)

  • Johannes Tischer

    (Deutsche Bundesbank)

Abstract

Households regularly fail to make optimal financial decisions. But what are the underlying reasons for this? Using two conceptually distinct measures of time inconsistency based on bank account transaction data and behavioral measurement experiments, we show that the excessive use of bank account overdrafts is linked to time inconsistency. By contrast, there is no correlation between a survey-based measure of financial literacy and overdraft usage. Our results indicate that consumer education and information may not suffice to overcome mistakes in households’ financial decision-making. Rather, behaviorally motivated interventions targeting specific biases in decision-making should also be considered as effective policy tools.

Suggested Citation

  • Andrej Gill & Florian Hett & Johannes Tischer, 2022. "Time Inconsistency and Overdraft Use: Evidence from Transaction Data and Behavioral Measurement Experiments," Working Papers 2205, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
  • Handle: RePEc:jgu:wpaper:2205
    as

    Download full text from publisher

    File URL: https://download.uni-mainz.de/RePEc/pdf/Discussion_Paper_2205.pdf
    File Function: First version, 2022
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Backes-Gellner, Uschi & Herz, Holger & Kosfeld, Michael & Oswald, Yvonne, 2021. "Do preferences and biases predict life outcomes? Evidence from education and labor market entry decisions," European Economic Review, Elsevier, vol. 134(C).
    2. Hastings, Justine & Mitchell, Olivia S., 2020. "How financial literacy and impatience shape retirement wealth and investment behaviors," Journal of Pension Economics and Finance, Cambridge University Press, vol. 19(1), pages 1-20, January.
    3. Richard H. Thaler & Shlomo Benartzi, 2004. "Save More Tomorrow (TM): Using Behavioral Economics to Increase Employee Saving," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 164-187, February.
    4. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2007. "Down or Out: Assessing the Welfare Costs of Household Investment Mistakes," Journal of Political Economy, University of Chicago Press, vol. 115(5), pages 707-747, October.
    5. Armin Falk & James J. Heckman, 2009. "Lab Experiments are a Major Source of Knowledge in the Social Sciences," Working Papers 200935, Geary Institute, University College Dublin.
    6. Matthias Sutter & Martin G. Kocher & Daniela Glätzle-Rützler & Stefan T. Trautmann, 2013. "Impatience and Uncertainty: Experimental Decisions Predict Adolescents' Field Behavior," American Economic Review, American Economic Association, vol. 103(1), pages 510-531, February.
    7. John Gathergood & Neale Mahoney & Neil Stewart & Jörg Weber, 2019. "How Do Individuals Repay Their Debt? The Balance-Matching Heuristic," American Economic Review, American Economic Association, vol. 109(3), pages 844-875, March.
    8. Hunt Allcott & Joshua Kim & Dmitry Taubinsky & Jonathan Zinman, 2022. "Are High-Interest Loans Predatory? Theory and Evidence from Payday Lending," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(3), pages 1041-1084.
    9. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    10. Scott R. Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis, 2023. "Income, Liquidity, and the Consumption Response to the 2020 Economic Stimulus Payments," Review of Finance, European Finance Association, vol. 27(6), pages 2271-2304.
    11. 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.
    12. Andreas Fuster & Matthew Plosser & Philipp Schnabl & James Vickery, 2019. "The Role of Technology in Mortgage Lending," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1854-1899.
    13. Stephan Meier & Charles Sprenger, 2010. "Present-Biased Preferences and Credit Card Borrowing," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 193-210, January.
    14. van Rooij, Maarten & Lusardi, Annamaria & Alessie, Rob, 2011. "Financial literacy and stock market participation," Journal of Financial Economics, Elsevier, vol. 101(2), pages 449-472, August.
    15. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Eliciting Risk and Time Preferences," Econometrica, Econometric Society, vol. 76(3), pages 583-618, May.
    16. Victor Stango & Jonathan Zinman, 2014. "Limited and Varying Consumer Attention: Evidence from Shocks to the Salience of Bank Overdraft Fees," The Review of Financial Studies, Society for Financial Studies, vol. 27(4), pages 990-1030.
    17. Thomas Philippon, 2016. "The FinTech Opportunity," NBER Working Papers 22476, National Bureau of Economic Research, Inc.
    18. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2009. "Measuring the Financial Sophistication of Households," American Economic Review, American Economic Association, vol. 99(2), pages 393-398, May.
    19. 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.
    20. 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.
    21. James Andreoni & Charles Sprenger, 2012. "Estimating Time Preferences from Convex Budgets," American Economic Review, American Economic Association, vol. 102(7), pages 3333-3356, December.
    22. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    23. Ned Augenblick & Muriel Niederle & Charles Sprenger, 2015. "Editor's Choice Working over Time: Dynamic Inconsistency in Real Effort Tasks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1067-1115.
    24. Sumit Agarwal & Bhashkar Mazumder, 2013. "Cognitive Abilities and Household Financial Decision Making," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 193-207, January.
    25. Shlomo Benartzi & Richard Thaler, 2007. "Heuristics and Biases in Retirement Savings Behavior," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 81-104, Summer.
    26. Uttara Balakrishnan & Johannes Haushofer & Pamela Jakiela, 2020. "How soon is now? Evidence of present bias from convex time budget experiments," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 294-321, June.
    27. Anke Becker & Thomas Deckers & Thomas Dohmen & Armin Falk & Fabian Kosse, 2012. "The Relationship Between Economic Preferences and Psychological Personality Measures," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 453-478, July.
    28. Lusardi, Annamaria & Tufano, Peter, 2015. "Debt literacy, financial experiences, and overindebtedness," Journal of Pension Economics and Finance, Cambridge University Press, vol. 14(4), pages 332-368, October.
    29. Glenn W. Harrison & Morten I. Lau & Melonie B. Williams, 2002. "Estimating Individual Discount Rates in Denmark: A Field Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1606-1617, December.
    30. Armin Falk & Anke Becker & Thomas Dohmen & Benjamin Enke & David B. Huffman & Uwe Sunde, 2017. "Global Evidence on Economic Preferences," NBER Working Papers 23943, National Bureau of Economic Research, Inc.
    31. Hans-Martin Von Gaudecker, 2015. "How Does Household Portfolio Diversification Vary with Financial Literacy and Financial Advice?," Journal of Finance, American Finance Association, vol. 70(2), pages 489-507, April.
    32. Justine S. Hastings & Brigitte C. Madrian & William L. Skimmyhorn, 2013. "Financial Literacy, Financial Education, and Economic Outcomes," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 347-373, May.
    33. Jonathan Cohen & Keith Marzilli Ericson & David Laibson & John Myles White, 2020. "Measuring Time Preferences," Journal of Economic Literature, American Economic Association, vol. 58(2), pages 299-347, June.
    34. Omar Al-Ubaydli & John A. List, 2013. "On the Generalizability of Experimental Results in Economics: With A Response To Camerer," NBER Working Papers 19666, National Bureau of Economic Research, Inc.
    35. Nava Ashraf & Dean Karlan & Wesley Yin, 2006. "Tying Odysseus to the Mast: Evidence From a Commitment Savings Product in the Philippines," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 635-672.
    36. Annamaria Lusardi, 2008. "Household Saving Behavior: The Role of Financial Literacy, Information, and Financial Education Programs," NBER Working Papers 13824, National Bureau of Economic Research, Inc.
    37. Leandro Carvalho & Arna Olafsson & Dan Silverman, 2019. "Misfortune and Mistake: The Financial Conditions and Decision-making Ability of High-cost Loan Borrowers," NBER Working Papers 26328, National Bureau of Economic Research, Inc.
    38. Marianne Bertrand & Adair Morse, 2011. "Information Disclosure, Cognitive Biases, and Payday Borrowing," Journal of Finance, American Finance Association, vol. 66(6), pages 1865-1893, December.
    39. Armin Falk & Anke Becker & Thomas Dohmen & Benjamin Enke & David Huffman & Uwe Sunde, 2018. "Global Evidence on Economic Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1645-1692.
    40. John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian, 2018. "Behavioral Household Finance," NBER Working Papers 24854, National Bureau of Economic Research, Inc.
    41. Thomas Buser & Muriel Niederle & Hessel Oosterbeek, 2014. "Gender, Competitiveness, and Career Choices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1409-1447.
    42. Bruce Carlin & Arna Olafsson & Michaela Pagel, 2017. "FinTech Adoption Across Generations: Financial Fitness in the Information Age," NBER Working Papers 23798, National Bureau of Economic Research, Inc.
    43. Anders Anderson & David T. Robinson, 2018. "Who Feels the Nudge? Knowledge, Self-Awareness and Retirement Savings Decisions," NBER Working Papers 25061, National Bureau of Economic Research, Inc.
    44. James Andreoni & Charles Sprenger, 2012. "Risk Preferences Are Not Time Preferences," American Economic Review, American Economic Association, vol. 102(7), pages 3357-3376, December.
    45. Andreoni, James & Kuhn, Michael A. & Sprenger, Charles, 2015. "Measuring time preferences: A comparison of experimental methods," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 451-464.
    46. Shapiro, Jesse M., 2005. "Is there a daily discount rate? Evidence from the food stamp nutrition cycle," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 303-325, February.
    47. Stefano Giglio & Matteo Maggiori & Johannes Stroebel & Stephen Utkus, 2021. "The joint dynamics of investor beliefs and trading during the COVID-19 crash," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(4), pages 2010316118-, January.
    48. Dick, Christian D. & Knobloch, Michael & Al-Umaray, Kerim S. & Jaroszek, Lena & Schröder, Michael & Tiffe, Achim, 2012. "Studie zu Dispozinsen / Ratenkrediten - Forschungsvorhaben zur Bereitstellung wissenschaftlicher Entscheidungshilfe für das Bundesministerium für Ernährung, Landwirtschaft und Verbraucherschutz (BMELV," EconStor Research Reports 65418, ZBW - Leibniz Information Centre for Economics.
    49. Kuchler, Theresa & Pagel, Michaela, 2021. "Sticking to your plan: The role of present bias for credit card paydown," Journal of Financial Economics, Elsevier, vol. 139(2), pages 359-388.
    50. Maribeth Coller & Melonie Williams, 1999. "Eliciting Individual Discount Rates," Experimental Economics, Springer;Economic Science Association, vol. 2(2), pages 107-127, December.
    51. Omar Al-Ubaydli & John A. List, 2013. "On the Generalizability of Experimental Results in Economics: With a Response to Commentors," CESifo Working Paper Series 4543, CESifo.
    52. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    53. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    54. Victor Stango & Jonathan Zinman, 2009. "What Do Consumers Really Pay on Their Checking and Credit Card Accounts? Explicit, Implicit, and Avoidable Costs," American Economic Review, American Economic Association, vol. 99(2), pages 424-429, May.
    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. Gill, Andrej & Hett, Florian & Tischer, Johannes, 2022. "Time inconsistency and overdraft use: Evidence from transaction data and behavioral measurement experiments," Discussion Papers 18/2022, Deutsche Bundesbank.
    2. Gill, Andrej & Hett, Florian & Tischer, Johannes, 2022. "Time inconsistency and overdraft use: Evidence from transaction data and behavioral measurement experiments," SAFE Working Paper Series 347, Leibniz Institute for Financial Research SAFE.
    3. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    4. Melanie Lührmann & Marta Serra-Garcia & Joachim Winter, 2018. "The Impact of Financial Education on Adolescents' Intertemporal Choices," American Economic Journal: Economic Policy, American Economic Association, vol. 10(3), pages 309-332, August.
    5. Werthschulte, Madeline & Löschel, Andreas, 2021. "On the role of present bias and biased price beliefs in household energy consumption," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    6. Dániel Horn & Hubert János Kiss, 2020. "Time preferences and their life outcome correlates: Evidence from a representative survey," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-26, July.
    7. Backes-Gellner, Uschi & Herz, Holger & Kosfeld, Michael & Oswald, Yvonne, 2021. "Do preferences and biases predict life outcomes? Evidence from education and labor market entry decisions," European Economic Review, Elsevier, vol. 134(C).
    8. Pablo Brañas-Garza & Diego Jorrat & Antonio M. Espín & Angel Sánchez, 2023. "Paid and hypothetical time preferences are the same: lab, field and online evidence," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 412-434, April.
    9. Cheung, Stephen L. & Tymula, Agnieszka & Wang, Xueting, 2021. "Quasi-Hyperbolic Present Bias: A Meta-Analysis," IZA Discussion Papers 14625, Institute of Labor Economics (IZA).
    10. Joshua Tasoff & Wenjie Zhang, 2022. "The Performance of Time-Preference and Risk-Preference Measures in Surveys," Management Science, INFORMS, vol. 68(2), pages 1149-1173, February.
    11. Marieke Bos & Chloé Le Coq & Peter van Santen, 2022. "Scarcity and consumers’ credit choices," Theory and Decision, Springer, vol. 92(1), pages 105-139, February.
    12. Akin, Zafer & Yavas, Abdullah, 2023. "Elicited Time Preferences and Behavior in Long-Run Projects," MPRA Paper 117133, University Library of Munich, Germany.
    13. Uttara Balakrishnan & Johannes Haushofer & Pamela Jakiela, 2020. "How soon is now? Evidence of present bias from convex time budget experiments," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 294-321, June.
    14. Oscar A. Stolper & Andreas Walter, 2017. "Financial literacy, financial advice, and financial behavior," Journal of Business Economics, Springer, vol. 87(5), pages 581-643, July.
    15. Jindrich Matousek & Tomas Havranek & Zuzana Irsova, 2022. "Individual discount rates: a meta-analysis of experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 318-358, February.
    16. Kureishi, Wataru & Paule-Paludkiewicz, Hannah & Tsujiyama, Hitoshi & Wakabayashi, Midori, 2021. "Time preferences over the life cycle and household saving puzzles," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 123-139.
    17. James Andreoni & Christina Gravert & Michael A. Kuhn & Silvia Saccardo & Yang Yang, 2018. "Arbitrage Or Narrow Bracketing? On Using Money to Measure Intertemporal Preferences," NBER Working Papers 25232, National Bureau of Economic Research, Inc.
    18. Bucciol, Alessandro & Cicognani, Simona & Montinari, Natalia, 2024. "It's time to cheat!," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 108(C).
    19. Stephen L. Cheung & Agnieszka Tymula & Xueting Wang, 2022. "Present bias for monetary and dietary rewards," Experimental Economics, Springer;Economic Science Association, vol. 25(4), pages 1202-1233, September.
    20. Michael A. Kuhn & Peter Kuhn & Marie Claire Villeval, 2013. "The Importance of the Cognitive Environment for Intertemporal Choice," Working Papers 1316, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.

    More about this item

    Keywords

    Household Finance; Paycheck Sensitivity; Fintech; Time Inconsistency; Time Preferences; Experiment; Behavioral Measurement;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth
    • G53 - Financial Economics - - Household Finance - - - Financial Literacy

    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:jgu:wpaper:2205. 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: Research Unit IPP (email available below). General contact details of provider: https://edirc.repec.org/data/vlmaide.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.