IDEAS home Printed from https://ideas.repec.org/a/fip/fedcec/95635.html
   My bibliography  Save this article

US Labor Market after COVID-19: An Interim Report

Author

Listed:
  • Martin DeLuca
  • Roberto Pinheiro

Abstract

Headline numbers have shown that the US labor market has recovered the jobs lost during the pandemic. Nevertheless, there is significant variation in the recovery across states and counties and across occupations and industries. Using the available data from the monthly Current Population Survey and the Bureau of Labor Statistics’ State and Metro Area Employment, Hours, and Earnings for January 2019 to August 2022, we present the changing patterns in the labor market. We also highlight some possible underlying reasons that are correlated with the varying patterns across groups and space. Finally, we look at the spatial distribution of the employment across states and micro and metropolitan areas. Results are in line with an uneven recovery across areas, while at odds with a narrative based on working arrangements making economic activity more even across space.

Suggested Citation

  • Martin DeLuca & Roberto Pinheiro, 2023. "US Labor Market after COVID-19: An Interim Report," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2023(04), pages 1-7, February.
    • Handle: RePEc:fip:fedcec:95635
    DOI: 10.26509/frbc-ec-202304
    as

    Download full text from publisher

    File URL: https://doi.org/10.26509/frbc-ec-202304
    File Function: Full Text
    Download Restriction: no
    File URL: https://libkey.io/10.26509/frbc-ec-202304?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Thomas Hale & Noam Angrist & Rafael Goldszmidt & Beatriz Kira & Anna Petherick & Toby Phillips & Samuel Webster & Emily Cameron-Blake & Laura Hallas & Saptarshi Majumdar & Helen Tatlow, 2021. "A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)," Nature Human Behaviour, Nature, vol. 5(4), pages 529-538, April.
    2. Forsythe, Eliza & Kahn, Lisa B. & Lange, Fabian & Wiczer, David, 2022. "Where have all the workers gone? Recalls, retirements, and reallocation in the COVID recovery," Labour Economics, Elsevier, vol. 78(C).
    3. Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143-166.
    4. Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143-166.
    5. Stephan D. Whitaker, 2021. "Did the COVID-19 Pandemic Cause an Urban Exodus?," Cleveland Fed District Data Brief 89783, Federal Reserve Bank of Cleveland.
    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. Victor Gay, 2023. "Culture: An Empirical Investigation of Beliefs, Work, and Fertility. A Verification and Reproduction of Fernández and Fogli (2009)," Post-Print hal-04194417, HAL.
    2. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
    3. Matt Goldman & David M. Kaplan, 2018. "Non‐parametric inference on (conditional) quantile differences and interquantile ranges, using L‐statistics," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 136-169, June.
    4. Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2017. "Talent, Career Choice and Competition: The Gender Wage Gap at the Top," Working Paper Series 1169, Research Institute of Industrial Economics, revised 06 Mar 2023.
    5. Blemings, Benjamin T. & Bock, Margaret & Scarcioffolo, Alexandre, 2022. "Hoggin' the Road: Negative Road Externalities of Pork Slaughterhouses," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322466, Agricultural and Applied Economics Association.
    6. David M. Kaplan, 2019. "distcomp: Comparing distributions," Stata Journal, StataCorp LP, vol. 19(4), pages 832-848, December.
    7. Gay, Victor, 2023. "Culture: An Empirical Investigation of Beliefs, Work, and Fertility. A Verification and Reproduction of Fernández and Fogli (American Economic Journal: Macroeconomics, 2009)," Journal of Comments and Replications in Economics (JCRE), ZBW - Leibniz Information Centre for Economics, vol. 2(2023-2), pages 1-15.
    8. Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148-174.
    9. David M. Kaplan & Matt Goldman, 2015. "Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics," Working Papers 1503, Department of Economics, University of Missouri.
    10. Huang, Wei & Li, Teng & Pan, Yinghao & Ren, Jinyang, 2023. "Teacher characteristics and student performance: Evidence from random teacher-student assignments in China," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 747-781.
    11. Xavier Cirera & Diego A. Comin & Marcio Cruz & Kyung Min Lee, 2020. "Anatomy of Technology in the Firm," NBER Working Papers 28080, National Bureau of Economic Research, Inc.
    12. John Mullahy, 2020. "Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID-19 Clinical Trials," NBER Working Papers 27895, National Bureau of Economic Research, Inc.
    13. Anastasios Evgenidis & Apostolos Fasianos, 2021. "Unconventional Monetary Policy and Wealth Inequalities in Great Britain," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 115-175, February.
    14. David M. Kaplan & Longhao Zhuo, 2015. "Bayesian and frequentist inequality tests," Working Papers 1516, Department of Economics, University of Missouri, revised Feb 2018.
    15. David M. Kaplan, 2020. "Inference on Consensus Ranking of Distributions," Working Papers 2010, Department of Economics, University of Missouri.
    16. Klenio Barbosa & Dakshina De Silva & Liyu Yang & Hisayuki Yoshimoto, 2020. "Bond Losses and Systemic Risk," Working Papers 288072615, Lancaster University Management School, Economics Department.
    17. John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1050-1069, May.
    18. Cirera,Xavier & Comin,Diego Adolfo & Vargas Da Cruz,Marcio Jose & Lee,Kyungmin, 2020. "Technology Within and Across Firms," Policy Research Working Paper Series 9476, The World Bank.
    19. Gedikli, Cigdem & Popli, Gurleen & Yilmaz, Okan, 2023. "The impact of intimate partner violence on women’s labour market outcomes," World Development, Elsevier, vol. 164(C).
    20. David M. Kaplan & Longhao Zhuo, 2016. "Frequentist size of Bayesian inequality tests," Papers 1607.00393, arXiv.org, revised Feb 2018.

    More about this item

    Keywords

    labor market; COVID-19;

    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:fip:fedcec:95635. 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: 4D Library (email available below). General contact details of provider: https://edirc.repec.org/data/frbclus.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.