IDEAS home Printed from https://ideas.repec.org/p/red/sed017/447.html
   My bibliography  Save this paper

The Costs and Benefits of Employer Credit Checks

Author

Listed:
  • Andrew Glover

    (University of Texas Austin)

  • Dean Corbae

    (University of Wisconsin)

Abstract

Credit agencies sell credit reports to employers for use in hiring. We build a model that rationalizes these products through adverse selection in credit and labor markets. Workers differ in their patience, with more patient workers repaying debts more frequently and accu- mulating more human capital. In equilibrium, a better credit history correlates with higher productivity. A poverty trap may arise: an unemployed agent with a low credit score has a low job finding rate, but cannot improve her credit score without a job. A policy that bans employer credit checks must balance their benefits (labor market effi- ciency and improved credit repayment incentives) against their costs (idiosyncratic poverty trap risk).

Suggested Citation

  • Andrew Glover & Dean Corbae, 2017. "The Costs and Benefits of Employer Credit Checks," 2017 Meeting Papers 447, Society for Economic Dynamics.
  • Handle: RePEc:red:sed017:447
    as

    Download full text from publisher

    File URL: https://red-files-public.s3.amazonaws.com/meetpapers/2017/paper_447.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kartik Athreya & Xuan S. Tam & Eric R. Young, 2012. "A Quantitative Theory of Information and Unsecured Credit," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(3), pages 153-183, July.
    2. Chatterjee, Satyajit & Corbae, Dean & Ríos-Rull, José-Víctor, 2008. "A finite-life private-information theory of unsecured consumer debt," Journal of Economic Theory, Elsevier, vol. 142(1), pages 149-177, September.
    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. Daphne Chen & Jake Zhao, 2017. "The Impact of Personal Bankruptcy on Labor Supply Decisions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 40-61, October.
    2. Andrew Glover & Dean Corbae, 2015. "A Simple Dynamic Theory of Credit Scores Under Adverse Selection," 2015 Meeting Papers 1265, Society for Economic Dynamics.
    3. Bulent Guler, 2015. "Innovations in Information Technology and the Mortgage Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(3), pages 456-483, July.
    4. Victor Rios-Rull & Dean Corbae: & Satyajit Chatterjee, 2011. "A Theory of Credit Scoring and the Competitive Pricing of Default Risk," 2011 Meeting Papers 1115, Society for Economic Dynamics.
    5. Juan M. Sánchez, 2018. "The Information Technology Revolution And The Unsecured Credit Market," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 914-930, April.
    6. Igor Livshits & James C. Mac Gee & Michèle Tertilt, 2016. "The Democratization of Credit and the Rise in Consumer Bankruptcies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1673-1710.
    7. Igor Livshits, 2015. "Recent Developments In Consumer Credit And Default Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 594-613, September.
    8. Athreya, Kartik & Tam, Xuan S. & Young, Eric R., 2009. "Unsecured credit markets are not insurance markets," Journal of Monetary Economics, Elsevier, vol. 56(1), pages 83-103, January.
    9. Sharma, Priyanka, 2017. "Is more information always better? A case in credit markets," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 269-283.
    10. Juan M. Sanchez, 2009. "The role of information in the rise in consumer bankruptcies," Working Paper 09-04, Federal Reserve Bank of Richmond.
    11. James MacGee, 2012. "The Rise in Consumer Credit and Bankruptcy: Cause for Concern?," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 346, April.
    12. Mankart, Jochen, 2014. "The (Un-) importance of Chapter 7 wealth exemption levels," Journal of Economic Dynamics and Control, Elsevier, vol. 38(C), pages 1-16.
    13. Kyle Herkenhoff, 2016. "The Impact of Consumer Credit Access on Employment, Earnings and Entrepreneurship," 2016 Meeting Papers 781, Society for Economic Dynamics.
    14. Don Schlagenhauf & Bryan Noeth & Carlos Garriga, 2015. "Aggregate and Distributional Dynamics of Consumer Credit in the U. S," 2015 Meeting Papers 1095, Society for Economic Dynamics.
    15. Kartik Athreya & José Mustre-del-Río & Juan M Sánchez, 2019. "The Persistence of Financial Distress," The Review of Financial Studies, Society for Financial Studies, vol. 32(10), pages 3851-3883.
    16. Dean Corbae & Andrew Glover & Daphne Chen, 2013. "Can Employer Credit Checks Create Poverty Traps?," 2013 Meeting Papers 875, Society for Economic Dynamics.
    17. Coibion, Olivier & Gorodnichenko, Yuriy & Kudlyak, Marianna & Mondragon, John, 2014. "Does Greater Inequality Lead to More Household Borrowing? New Evidence from Household Data," IZA Discussion Papers 7910, Institute of Labor Economics (IZA).
    18. Banuri, Sheheryar & Nguyen, Ha, 2023. "Borrowing to keep up (with the Joneses): Inequality, debt, and conspicuous consumption," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 222-242.
    19. Juan Carlos Hatchondo & Leonardo Martinez & César Sosa-Padilla, 2016. "Debt Dilution and Sovereign Default Risk," Journal of Political Economy, University of Chicago Press, vol. 124(5), pages 1383-1422.
    20. Nakajima, Makoto, 2017. "Assessing bankruptcy reform in a model with temptation and equilibrium default," Journal of Public Economics, Elsevier, vol. 145(C), pages 42-64.

    More about this item

    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:red:sed017:447. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.