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Business Exit During the COVID-19 Pandemic: Non-Traditional Measures in Historical Context

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Abstract

Lags in official data releases have forced economists and policymakers to leverage "alternative" or "non-traditional" data to measure business exit resulting from the COVID- 19 pandemic. We first review official data on business exit in recent decades to place the alternative measures of exit within historical context. For the U.S., business exit is countercyclical and fairly common, with about 7.5 percent of firms exiting annually in recent years. Both the high level and the cyclicality of exit are driven by very small firms and establishments. We then explore a range of alternative measures of business exit, including novel measures based on paycheck issuance and phone-tracking data, which indicate exit was elevated in certain sectors during the first year of the pandemic. The evidence is mixed, however; many industries have likely seen lower-than-usual exit rates, and exiting businesses do not appear to represent a large share of U.S. employment. Actual exit is likely to have been lower than widespread expectations from early in the pandemic. Moreover, businesses have recently exhibited notable optimism about their survival prospects.

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  • Leland D. Crane & Ryan A. Decker & Aaron Flaaen & Adrian Hamins-Puertolas & Christopher J. Kurz, 2020. "Business Exit During the COVID-19 Pandemic: Non-Traditional Measures in Historical Context," Finance and Economics Discussion Series 2020-089r1, Board of Governors of the Federal Reserve System (U.S.), revised 15 Apr 2021.
  • Handle: RePEc:fip:fedgfe:2020-89
    DOI: 10.17016/FEDS.2020.089r1
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    2. Berger, Allen N. & Demirgüç-Kunt, Asli, 2021. "Banking research in the time of COVID-19," Journal of Financial Stability, Elsevier, vol. 57(C).
    3. John G. Fernald & Huiyu Li, 2022. "The Impact of COVID on Productivity and Potential Output," Working Paper Series 2022-19, Federal Reserve Bank of San Francisco.
    4. Robert Fairlie & Frank M. Fossen & Reid Johnsen & Gentian Droboniku, 2023. "Were small businesses more likely to permanently close in the pandemic?," Small Business Economics, Springer, vol. 60(4), pages 1613-1629, April.
    5. Crane, Leland D. & Decker, Ryan A. & Flaaen, Aaron & Hamins-Puertolas, Adrian & Kurz, Christopher, 2022. "Business exit during the COVID-19 pandemic: Non-traditional measures in historical context," Journal of Macroeconomics, Elsevier, vol. 72(C).
    6. Sun, Ruohan & Zhou, Nan & Zhang, Bing, 2023. "Can bank branch establishment help SMEs survive? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 88(C).
    7. Sedov, Dmitry, 2022. "Restaurant closures during the COVID-19 pandemic: A descriptive analysis," Economics Letters, Elsevier, vol. 213(C).
    8. Ascari, Guido & Colciago, Andrea & Silvestrini, Riccardo, 2023. "Business dynamism, sectoral reallocation and productivity in a pandemic," European Economic Review, Elsevier, vol. 156(C).
    9. Pierre-Olivier Gourinchas & Şebnem Kalemli-Özcan & Veronika Penciakova & Nicholas Sander, 2023. "SME Failures Under Large Liquidity Shocks: An Application to the COVID-19 Crisis," Staff Working Papers 23-32, Bank of Canada.
    10. Janice C. dup Eberly & John dup Fernald, 2022. "Jackson Hole 2022 - Reassessing Economic Constraints: Potential Output (The Impact of COVID on Productivity and Potential Output)," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, August.
    11. Enisse Kharroubi, 2022. "Growth expectations and the dynamics of firm entry," BIS Working Papers 1036, Bank for International Settlements.
    12. Kongphop WONGKAEW & SAITO Yukiko, 2023. "CEO Age, Firm Exit and Zombification amidst the COVID-19 Pandemic," Discussion papers 23080, Research Institute of Economy, Trade and Industry (RIETI).
    13. Pierre-Olivier Gourinchas & Ṣebnem Kalemli-Özcan & Veronika Penciakova & Nick Sander, 2021. "COVID-19 and SMEs: A 2021 "Time Bomb"?," FRB Atlanta Working Paper 2021-6, Federal Reserve Bank of Atlanta.
    14. Brave, Scott A. & Butters, R. Andrew & Fogarty, Michael, 2022. "The perils of working with big data, and a SMALL checklist you can use to recognize them," Business Horizons, Elsevier, vol. 65(4), pages 481-492.
    15. Lepage, Louis-Pierre, 2023. "Experience-based Discrimination," Working Paper Series 12/2023, Stockholm University, Swedish Institute for Social Research.

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    More about this item

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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