IDEAS home Printed from https://ideas.repec.org/a/aea/aejapp/v15y2023i4p1-29.html
   My bibliography  Save this article

How Do Households Respond to Job Loss? Lessons from Multiple High-Frequency Datasets

Author

Listed:
  • Asger Lau Andersen
  • Amalie Sofie Jensen
  • Niels Johannesen
  • Claus Thustrup Kreiner
  • Søren Leth-Petersen
  • Adam Sheridan

Abstract

How much and through which channels do households self-insure against job loss? Combining data from a large bank and from government sources, we quantify a broad range of responses to job loss in a unified empirical framework. Cumulated over a two-year period, households reduce spending by 30 percent of their income loss. They mainly self-insure through adjustments of liquid balances, which account for 50 percent of the income loss. Other channels—spousal labor supply, private transfers, home equity extraction, mortgage refinancing, and consumer credit—contribute less to self-insurance. Both overall self-insurance and the channels vary with household characteristics in intuitive ways.

Suggested Citation

  • Asger Lau Andersen & Amalie Sofie Jensen & Niels Johannesen & Claus Thustrup Kreiner & Søren Leth-Petersen & Adam Sheridan, 2023. "How Do Households Respond to Job Loss? Lessons from Multiple High-Frequency Datasets," American Economic Journal: Applied Economics, American Economic Association, vol. 15(4), pages 1-29, October.
  • Handle: RePEc:aea:aejapp:v:15:y:2023:i:4:p:1-29
    DOI: 10.1257/app.20210206
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/app.20210206
    Download Restriction: no

    File URL: https://doi.org/10.3886/E170201V1
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/app.20210206.appx
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/app.20210206.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: https://libkey.io/10.1257/app.20210206?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. John Sabelhaus & David Johnson & Stephen Ash & David Swanson & Thesia I. Garner & John Greenlees & Steve Henderson, 2014. "Is the Consumer Expenditure Survey Representative by Income?," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 241-262, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Odran Bonnet & Étienne Fize & Tristan Loisel & Lionel Wilner, 2024. "Is Carbon Tax Truly More Salient? Evidence from Fuel Tourism at the France-Germany Border," CESifo Working Paper Series 10918, CESifo.
    2. Kim, Seonghoon & Wang, Lanjie, 2024. "Navigating Unemployment without Unemployment Insurance: Evidence from Singapore," IZA Discussion Papers 17299, Institute of Labor Economics (IZA).
    3. Odran Bonnet & Étienne Fize & Tristan Loisel & Lionel Wilner, 2024. "Is Carbon Tax Truly More Salient? Evidence from Fuel Tourism at the France-Germany Border," CESifo Working Paper Series 10918, CESifo.
    4. Nathaniel Pattison, 2024. "Landlords as Lenders of Last Resort? Late Housing Payments During Unemployment," Departmental Working Papers 2401, Southern Methodist University, Department of Economics.
    5. Kostøl, Andreas Ravndal & Merkle, Matthew C. & Grindaker, Morten, 2024. "Layoff Costs and Learning about Employer Financial Distress," IZA Discussion Papers 17340, Institute of Labor Economics (IZA).
    6. M. Adam & O. Bonnet & E. Fize & T. Loisel & M. Rault & L. Wilner, 2023. "How does fuel demand respond to price changes? Quasi-experimental evidence based on high-frequency data," Documents de Travail de l'Insee - INSEE Working Papers 2023-17, Institut National de la Statistique et des Etudes Economiques.
    7. Figueiredo, Ana & Marie, Olivier & Markiewicz, Agnieszka, 2024. "Job Security and Liquid Wealth," IZA Discussion Papers 16744, Institute of Labor Economics (IZA).

    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. Lisa J. Dettling & Sebastian Devlin-Foltz & Jacob Krimmel & Sarah Pack & Jeffrey P. Thompson, 2015. "Comparing Micro and Macro Sources for Household Accounts in the United States: Evidence from the Survey of Consumer Finances," Finance and Economics Discussion Series 2015-86, Board of Governors of the Federal Reserve System (U.S.).
    2. Crawley, Edmund & Theloudis, Alexandros, 2024. "Income Shocks and their Transmission into Consumption," Discussion Paper 2024-012, Tilburg University, Center for Economic Research.
    3. Bart H. H. Golsteyn & Stefa Hirsch, 2019. "Are estimates of intergenerational mobility biased by non-response? Evidence from the Netherlands," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 52(1), pages 29-63, January.
    4. Andrew Figura & Christopher J. Waller, 2022. "What does the Beveridge curve tell us about the likelihood of a soft landing?," FEDS Notes 2022-07-29, Board of Governors of the Federal Reserve System (U.S.).
    5. Jesse Bricker & Alice Henriques & Jacob Krimmel & John Sabelhaus, 2016. "Measuring Income and Wealth at the Top Using Administrative and Survey Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 261-331.
    6. Shubhangi Agrawal & Sambit Bhattacharyya & Chirantan Chatterjee & Somdeep Chatterjee, 2024. "Income shock and Women’s Health Spending:Evidence from India," Working Paper Series 1324, Department of Economics, University of Sussex Business School.
    7. Michael Gelman & Yuriy Gorodnichenko & Shachar Kariv & Dmitri Koustas & Matthew D. Shapiro & Dan Silverman & Steven Tadelis, 2023. "The Response of Consumer Spending to Changes in Gasoline Prices," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 129-160, April.
    8. Crawley, Edmund, 2020. "In search of lost time aggregation," Economics Letters, Elsevier, vol. 189(C).
    9. Martin Lettau & Sydney C. Ludvigson & Sai Ma, 2019. "Capital Share Risk in U.S. Asset Pricing," Journal of Finance, American Finance Association, vol. 74(4), pages 1753-1792, August.
    10. Jonathan D. Fisher & David S. Johnson & Timothy M. Smeeding & Jeffrey P. Thompson, 2022. "Inequality in 3‐D: Income, Consumption, and Wealth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(1), pages 16-42, March.
    11. Barry Z. Cynamon & Steven M. Fazzari, 2017. "Household Income, Demand, and Saving: Deriving Macro Data With Micro Data Concepts," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 53-69, March.
    12. Campos, Rodolfo G. & Reggio, Iliana, 2014. "Measurement error in imputation procedures," Economics Letters, Elsevier, vol. 122(2), pages 197-202.
    13. Petach, Luke A. & Tavani, Daniele, 2021. "Consumption externalities and growth: Theory and evidence for the United States," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 976-997.
    14. Zhen Huo & José-Víctor Ríos-Rull, 2016. "Financial Frictions, Asset Prices, and the Great Recession," Staff Report 526, Federal Reserve Bank of Minneapolis.
    15. Jonathan Fisher & Joseph Marchand, 2014. "Does the retirement consumption puzzle differ across the distribution?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 279-296, June.
    16. Sager, Lutz, 2019. "Income inequality and carbon consumption: Evidence from Environmental Engel curves," Energy Economics, Elsevier, vol. 84(S1).
    17. Garry Barrett & Peter Levell & Kevin Milligan, 2014. "A Comparison of Micro and Macro Expenditure Measures across Countries Using Differing Survey Methods," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 263-286, National Bureau of Economic Research, Inc.
    18. Jonathan Fisher & Joseph Marchand, 2014. "Does the retirement consumption puzzle differ across the distribution?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 279-296, June.
    19. Edward N. Wolff, 2016. "Deconstructing Household Wealth Trends in the United States, 1983 - 2013," NBER Working Papers 22704, National Bureau of Economic Research, Inc.
    20. Eika, Lasse & Mogstad, Magne & Vestad, Ola L., 2020. "What can we learn about household consumption expenditure from data on income and assets?," Journal of Public Economics, Elsevier, vol. 189(C).

    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • 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
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings

    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:aea:aejapp:v:15:y:2023:i:4:p:1-29. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.