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Unprepared For Financial Shocks: Emergency Savings And Credit Card Debt

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  • Joanna Stavins

Abstract

We measure readiness to face emergency expenses using data from a representative survey of U.S. consumers. Our main findings are as follows: (1) there is substantial heterogeneity in financial readiness, with lowest‐income, least‐educated, unemployed, and Black consumers most likely to have $0 saved for emergency expenses; (2) the amount of emergency savings is correlated with payment choice: Less financially prepared individuals use cash more and credit cards less, compared to those with higher emergency savings; (3) while people with low emergency savings rely more on cash than credit cards, they revolve more debt, and so a financial shock is costlier for them; (4) changes in income from one year to the next do not appear to affect the likelihood of revolving on credit cards or increase the amount borrowed, although the data were collected before the COVID‐19 pandemic. For those with little or no savings and already financially vulnerable, even a temporary financial shock—an unexpected negative income shock (such as a layoff or a short‐term government shutdown) or an unexpected expenditure (such as a medical expense or a car repair)—could have severe financial consequences, exacerbated by the high cost of borrowing on credit cards. (JEL D12, D14, D15, E21)

Suggested Citation

  • Joanna Stavins, 2021. "Unprepared For Financial Shocks: Emergency Savings And Credit Card Debt," Contemporary Economic Policy, Western Economic Association International, vol. 39(1), pages 59-82, January.
  • Handle: RePEc:bla:coecpo:v:39:y:2021:i:1:p:59-82
    DOI: 10.1111/coep.12477
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    References listed on IDEAS

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    1. Scott R. Baker, 2018. "Debt and the Response to Household Income Shocks: Validation and Application of Linked Financial Account Data," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1504-1557.
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    4. Gelman, Michael & Kariv, Shachar & Shapiro, Matthew D. & Silverman, Dan & Tadelis, Steven, 2020. "How individuals respond to a liquidity shock: Evidence from the 2013 government shutdown," Journal of Public Economics, Elsevier, vol. 189(C).
    5. Victor Stango & Jonathan Zinman, 2016. "Borrowing High versus Borrowing Higher: Price Dispersion and Shopping Behavior in the U.S. Credit Card Market," The Review of Financial Studies, Society for Financial Studies, vol. 29(4), pages 979-1006.
    6. Neil Bhutta & Lisa J. Dettling, 2018. "Money in the Bank? Assessing Families' Liquid Savings using the Survey of Consumer Finances," FEDS Notes 2018-11-19, Board of Governors of the Federal Reserve System (U.S.).
    7. Patryk Babiarz & Cliff Robb, 2014. "Financial Literacy and Emergency Saving," Journal of Family and Economic Issues, Springer, vol. 35(1), pages 40-50, March.
    8. Scott Ross Baker & Contantine Yannelis, 2017. "Income Changes and Consumption: Evidence from the 2013 Federal Government Shutdown," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 23, pages 99-124, January.
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    Cited by:

    1. Wang-Ly, Nathan & Newell, Ben R., 2022. "Allowing early access to retirement savings: Lessons from Australia," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 716-733.
    2. Timmons, Shane & Robertson, Deirdre & Lunn, Pete, 2022. "Combining nudges and boosts to increase precautionary saving: A large-scale field experiment," Papers WP722, Economic and Social Research Institute (ESRI).
    3. Nathaniel Pattison, 2024. "Landlords as Lenders of Last Resort? Late Housing Payments During Unemployment," Departmental Working Papers 2401, Southern Methodist University, Department of Economics.
    4. Margarida Rodrigues & Mário Franco & Nuno Sousa & Rui Silva, 2021. "COVID 19 and the Business Management Crisis: An Empirical Study in SMEs," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
    5. Margarida Rodrigues & Mário Franco & Nuno Sousa & Rui Silva, 2021. "Reviewing COVID-19 Literature on Business Management: What It Portends for Future Research?," Sustainability, MDPI, vol. 13(11), pages 1-21, May.

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    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

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