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Perceived Precautionary Savings Motives: Evidence from FinTech

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  • Francesco D’Acunto
  • Thomas Rauter
  • Christoph K. Scheuch
  • Michael Weber

Abstract

We study the spending response of first-time borrowers to an overdraft facility and elicit their preferences, beliefs, and motives through a FinTech application. Users increase their spending permanently, lower their savings rate, and reallocate spending from non-discretionary to discretionary goods. Interestingly, liquid users react more than others but do not tap into negative deposits. The credit line acts as a form of insurance. These results are not fully consistent with models of financial constraints, buffer stock models, or present-bias preferences. We label this channel perceived precautionary savings motives: Liquid users behave as if they faced strong precautionary savings motives even though no observables, including elicited preferences and beliefs, suggest they should.

Suggested Citation

  • Francesco D’Acunto & Thomas Rauter & Christoph K. Scheuch & Michael Weber, 2020. "Perceived Precautionary Savings Motives: Evidence from FinTech," NBER Working Papers 26817, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26817
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    Cited by:

    1. Francesco D’Acunto & Daniel Hoang & Michael Weber, 2022. "Managing Households’ Expectations with Unconventional Policies," The Review of Financial Studies, Society for Financial Studies, vol. 35(4), pages 1597-1642.
    2. Ross Levine & Chen Lin & Mingzhu Tai & Wensi Xie, 2021. "How Did Depositors Respond to COVID-19? [A crisis of banks as liquidity providers]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5438-5473.
    3. repec:zbw:bofrdp:2020_017 is not listed on IDEAS
    4. Francesco D'Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2020. "Effective Policy Communication: Targets versus Instruments," Working Papers 2020-148, Becker Friedman Institute for Research In Economics.
    5. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "The Cost of the COVID-19 Crisis: Lockdowns, Macroeconomic Expectations, and Consumer Spending," Department of Economics, Working Paper Series qt4jn1x65h, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    6. Jianwei Xing & Eric Yongchen Zou & Zhentoa Yin & Yong Wang & Zhenhua Li, 2023. ""Quick Response" Economic Stimulus: The Effect of Small-Value Digital Coupons on Spending," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(4), pages 249-304, October.
    7. D'Acunto, Francesco & Ghosh, Pulak & Jain, Rajiv & Rossi, Alberto G., 2022. "How costly are cultural biases?," LawFin Working Paper Series 34, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
    8. Francesco D'Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2020. "Effective Policy Communication: Targets versus Instruments," Working Papers 2020-148, Becker Friedman Institute for Research In Economics.
    9. Qin, Xiaodi & Wu, Haitao & Li, Rongrong, 2022. "Digital finance and household carbon emissions in China," China Economic Review, Elsevier, vol. 76(C).

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    More about this item

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth

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