IDEAS home Printed from https://ideas.repec.org/p/fip/feddwp/89244.html
   My bibliography  Save this paper

The Labor Market Impact of a Pandemic: Validation and Application of a Do-It-Yourself CPS

Author

Abstract

The Current Population Survey (CPS) is a central source of U.S. labor market data. We show that, for a few thousand dollars, researchers can quickly design and implement their own online survey to supplement the CPS. The survey closely follows core features of the CPS, ensuring that outcomes are conceptually compatible and allowing researchers to weight and validate results using the official CPS. Yet the survey also allows for faster data collection, added flexibility and novel questions. We show that the survey provided useful estimates of U.S. labor market aggregates several weeks ahead of the CPS during the turbulent start of the COVID-19 recession. We then assess the extent of downward nominal wage rigidity at the onset of the pandemic, finding that wage reductions were widespread, but were more common for job-switchers and recalled workers. We discuss a wide range of additional applications.

Suggested Citation

  • Alexander Bick & Adam Blandin, 2020. "The Labor Market Impact of a Pandemic: Validation and Application of a Do-It-Yourself CPS," Working Papers 2031, Federal Reserve Bank of Dallas.
    • Handle: RePEc:fip:feddwp:89244
    DOI: 10.24149/wp2031
    as

    Download full text from publisher

    File URL: https://www.dallasfed.org/-/media/documents/research/papers/2020/wp2031.pdf
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24149/wp2031?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. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    2. Mark Gertler & Christopher Huckfeldt & Antonella Trigari, 2020. "Unemployment Fluctuations, Match Quality, and the Wage Cyclicality of New Hires," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(4), pages 1876-1914.
    3. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    4. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    5. Dietrich, Alexander M. & Kuester, Keith & Müller, Gernot J. & Schoenle, Raphael, 2022. "News and uncertainty about COVID-19: Survey evidence and short-run economic impact," Journal of Monetary Economics, Elsevier, vol. 129(S), pages 35-51.
    6. Alexander Bick & Adam Blandin & Karel Mertens, 2023. "Work from Home before and after the COVID-19 Outbreak," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(4), pages 1-39, October.
    7. Adams-Prassl, A. & Boneva, T. & Golin, M & Rauh, C., 2020. "Inequality in the Impact of the Coronavirus Shock: New Survey Evidence for the UK," Cambridge Working Papers in Economics 2023, Faculty of Economics, University of Cambridge.
    8. David Baqaee & Emmanuel Farhi, 2022. "Supply and Demand in Disaggregated Keynesian Economies with an Application to the COVID-19 Crisis," American Economic Review, American Economic Association, vol. 112(5), pages 1397-1436, May.
    9. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "Labor Markets During the Covid-19 Crisis: A Preliminary View," Department of Economics, Working Paper Series qt7rx7t91p, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    10. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    11. Jose Maria Barrero & Nicholas Bloom & Steven J. Davis, 2020. "COVID-19 Is Also a Reallocation Shock," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 329-383.
    12. Henry S. Farber, 2017. "Employment, Hours, and Earnings Consequences of Job Loss: US Evidence from the Displaced Workers Survey," Journal of Labor Economics, University of Chicago Press, vol. 35(S1), pages 235-272.
    13. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    14. Raj Chetty & John N Friedman & Michael Stepner & Opportunity Insights Team & Camille Baker & Harvey Barnhard & Matt Bell & Gregory Bruich & Tina Chelidze & Lucas Chu & Westley Cineus & Sebi Devlin-Fol, 2024. "The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(2), pages 829-889.
    15. Michael W. L. Elsby & Gary Solon, 2019. "How Prevalent Is Downward Rigidity in Nominal Wages? International Evidence from Payroll Records and Pay Slips," Journal of Economic Perspectives, American Economic Association, vol. 33(3), pages 185-201, Summer.
    16. Forsythe, Eliza & Kahn, Lisa B. & Lange, Fabian & Wiczer, David, 2020. "Labor demand in the time of COVID-19: Evidence from vacancy postings and UI claims," Journal of Public Economics, Elsevier, vol. 189(C).
    17. Michael W. L. Elsby & Donggyun Shin & Gary Solon, 2016. "Wage Adjustment in the Great Recession and Other Downturns: Evidence from the United States and Great Britain," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 249-291.
    18. Belot, Michèle & Choi, Syngjoo & Jamison, Julian C. & Papageorge, Nicholas W. & Tripodi, Egon & van den Broek-Altenburg, Eline, 2020. "Six-Country Survey on COVID-19," IZA Discussion Papers 13230, Institute of Labor Economics (IZA).
    19. Hie Joo Ahn & James Hamilton, 2022. "Measuring Labor-Force Participation and the Incidence and Duration of Unemployment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 44, pages 1-32, April.
    20. Christopher Foote & William D. Nordhaus & Douglas Rivers, 2020. "The US Employment Situation Using the Yale Labor Survey," Cowles Foundation Discussion Papers 2243, Cowles Foundation for Research in Economics, Yale University.
    21. Robert E. Hall, 2005. "Employment Fluctuations with Equilibrium Wage Stickiness," American Economic Review, American Economic Association, vol. 95(1), pages 50-65, March.
    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. Nicholas Bloom & Philip Bunn & Paul Mizen & Pawel Smietanka & Gregory Thwaites, 2020. "The Impact of Covid-19 on Productivity," NBER Working Papers 28233, National Bureau of Economic Research, Inc.
    2. Hensvik, Lena & Le Barbanchon, Thomas & Rathelot, Roland, 2021. "Job search during the COVID-19 crisis," Journal of Public Economics, Elsevier, vol. 194(C).
    3. Christian Bayer & Benjamin Born & Ralph Luetticke & Gernot J Müller, 2023. "The Coronavirus Stimulus Package: How Large is the Transfer Multiplier," The Economic Journal, Royal Economic Society, vol. 133(652), pages 1318-1347.
    4. Humphries, John Eric & Neilson, Christopher A. & Ulyssea, Gabriel, 2020. "Information frictions and access to the Paycheck Protection Program," Journal of Public Economics, Elsevier, vol. 190(C).
    5. Alexander Bick & Adam Blandin & Aidan Caplan & Tristan Caplan, 2024. "Measuring Trends in Work From Home: Evidence from Six U.S. Datasets," Working Papers 2024-023, Federal Reserve Bank of St. Louis.
    6. Alexander Bick & Adam Blandin, 2023. "Employer Reallocation During the COVID-19 Pandemic: Validation and Application of a Do-It-Yourself CPS," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 58-76, July.
    7. Wei Cheng & Patrick Carlin & Joanna Carroll & Sumedha Gupta & Felipe Lozano Rojas & Laura Montenovo & Thuy D. Nguyen & Ian M. Schmutte & Olga Scrivner & Kosali I. Simon & Coady Wing & Bruce Weinberg, 2020. "Back to Business and (Re)employing Workers? Labor Market Activity During State COVID-19 Reopenings," NBER Working Papers 27419, National Bureau of Economic Research, Inc.
    8. Gu, Ran & Zhong, Ling, 2023. "Effects of stay-at-home orders on skill requirements in vacancy postings," Labour Economics, Elsevier, vol. 82(C).
    9. Blanas, Sotiris & Oikonomou, Rigas, 2023. "COVID-induced economic uncertainty, tasks and occupational demand," Labour Economics, Elsevier, vol. 81(C).
    10. Bellatin, Alejandra & Galassi, Gabriela, 2022. "What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada," IZA Discussion Papers 15209, Institute of Labor Economics (IZA).
    11. Seung Jin Cho & Jun Yeong Lee & John V. Winters, 2021. "Employment impacts of the COVID‐19 pandemic across metropolitan status and size," Growth and Change, Wiley Blackwell, vol. 52(4), pages 1958-1996, December.
    12. Egana-delSol, Pablo & Micco, Alejandro, 2024. "The Role of Technological Change in the Evolution of the Employment to Output Elasticity," IZA Discussion Papers 17003, Institute of Labor Economics (IZA).
    13. Daniel Graeber & Alexander S. Kritikos & Johannes Seebauer, 2021. "COVID-19: a crisis of the female self-employed," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1141-1187, October.
    14. Pizzinelli, Carlo & Shibata, Ippei, 2023. "Has COVID-19 induced labor market mismatch? Evidence from the US and the UK," Labour Economics, Elsevier, vol. 81(C).
    15. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    16. Anand Chopra & Michael B. Devereux & Amartya Lahiri, 2022. "Pandemics through the lens of occupations," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 540-580, February.
    17. Arceo-Gomez, Eva O. & Campos-Vazquez, Raymundo M. & Esquivel, Gerardo & Alcaraz, Eduardo & Martinez, Luis A. & Lopez, Norma G., 2023. "The impact of COVID-19 infection on labor outcomes of Mexican formal workers," World Development Perspectives, Elsevier, vol. 29(C).
    18. Laura Montenovo & Xuan Jiang & Felipe Lozano Rojas & Ian M. Schmutte & Kosali I. Simon & Bruce A. Weinberg & Coady Wing, 2020. "Determinants of Disparities in Covid-19 Job Losses," NBER Working Papers 27132, National Bureau of Economic Research, Inc.
    19. Liang, Xiao & Rozelle, Scott & Yi, Hongmei, 2022. "The impact of COVID-19 on employment and income of vocational graduates in China: Evidence from surveys in January and July 2020," China Economic Review, Elsevier, vol. 75(C).
    20. Alejandra Bellatin & Gabriela Galassi, 2022. "What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada," Staff Working Papers 22-17, Bank of Canada.

    More about this item

    Keywords

    labor market survey; real-time data; nominal wage rigidity;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    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:fip:feddwp:89244. 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: Amy Chapman (email available below). General contact details of provider: https://edirc.repec.org/data/frbdaus.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.