IDEAS home Printed from https://ideas.repec.org/p/cen/wpaper/25-45.html
   My bibliography  Save this paper

Credit Access in the United States

Author

Listed:
  • Trevor J. Bakker
  • Stefanie DeLuca
  • Eric A. English
  • Jamie Fogel
  • Nathaniel Hendren
  • Daniel Herbst

Abstract

We construct new population-level linked administrative data to study households' access to credit in the United States. These data reveal large differences in credit access by race, class, and hometown. By age 25, Black individuals, those who grew up in low-income families, and those who grew up in certain areas (including the Southeast and Appalachia) have significantly lower credit scores than other groups. Consistent with lower scores generating credit constraints, these individuals have smaller balances, more credit inquiries, higher credit card utilization rates, and greater use of alternative higher-cost forms of credit. Tests for alternative definitions of algorithmic bias in credit scores yield results in opposite directions. From a calibration perspective, group-level differences in credit scores understate differences in delinquency: conditional on a given credit score, Black individuals and those from low-income families fall delinquent at relatively higher rates. From a balance perspective, these groups receive lower credit scores even when comparing those with the same future repayment behavior. Addressing both of these biases and expanding credit access to groups with lower credit scores requires addressing group-level differences in delinquency rates. These delinquencies emerge soon after individuals access credit in their early twenties, often due to missed payments on credit cards, student loans, and other bills. Comprehensive measures of individuals' income profiles, income volatility, and observed wealth explain only a small portion of these repayment gaps. In contrast, we find that the large variation in repayment across hometowns mostly reflects the causal effect of childhood exposure to these places. Places that promote upward income mobility also promote repayment and expand credit access even conditional on income, suggesting that common place-level factors may drive behaviors in both credit and labor markets. We discuss suggestive evidence for several mechanisms that drive our results, including the role of social and cultural capital. We conclude that gaps in credit access by race, class, and hometown have roots in childhood environments.

Suggested Citation

  • Trevor J. Bakker & Stefanie DeLuca & Eric A. English & Jamie Fogel & Nathaniel Hendren & Daniel Herbst, 2025. "Credit Access in the United States," Working Papers 25-45, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:25-45
    as

    Download full text from publisher

    File URL: https://www2.census.gov/library/working-papers/2025/adrm/ces/CES-WP-25-45.pdf
    File Function: First version, 2025
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christa Gibbs & Benedict Guttman-Kenney & Donghoon Lee & Scott Nelson & Wilbert van der Klaauw & Jialan Wang, 2025. "Consumer Credit Reporting Data," Journal of Economic Literature, American Economic Association, vol. 63(2), pages 598-636, June.
    2. Patrick Bayer & Fernando Ferreira & Stephen L. Ross, 2017. "The Vulnerability of Minority Homeowners in the Housing Boom and Bust: Corrigendum," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 344-345, February.
    3. Michael J. Gropper & Camelia M. Kuhnen, 2025. "Wealth and Insurance Choices: Evidence from U.S. Households," Journal of Finance, American Finance Association, vol. 80(2), pages 1127-1170, April.
    4. Dionissi Aliprantis & Daniel R. Carroll & Eric Young, 2019. "The Dynamics of the Racial Wealth Gap," Working Papers 19-18R, Federal Reserve Bank of Cleveland, revised 29 Nov 2022.
    5. Raj Chetty & Matthew O. Jackson & Theresa Kuchler & Johannes Stroebel & Nathaniel Hendren & Robert B. Fluegge & Sara Gong & Federico Gonzalez & Armelle Grondin & Matthew Jacob & Drew Johnston & Martin, 2022. "Social capital I: measurement and associations with economic mobility," Nature, Nature, vol. 608(7921), pages 108-121, August.
    6. Brian T. Melzer, 2011. "The Real Costs of Credit Access: Evidence from the Payday Lending Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 517-555.
    7. Will Dobbie & Andres Liberman & Daniel Paravisini & Vikram Pathania, 2021. "Measuring Bias in Consumer Lending [Loan Prospecting and the Loss of Soft Information]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 2799-2832.
    8. David Arnold & Will Dobbie & Crystal S Yang, 2018. "Racial Bias in Bail Decisions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1885-1932.
    9. Andreas Fuster & Paul Goldsmith‐Pinkham & Tarun Ramadorai & Ansgar Walther, 2022. "Predictably Unequal? The Effects of Machine Learning on Credit Markets," Journal of Finance, American Finance Association, vol. 77(1), pages 5-47, February.
    10. Laura Blattner & Scott Nelson, 2021. "How Costly is Noise? Data and Disparities in Consumer Credit," Papers 2105.07554, arXiv.org.
    11. Ivan A Canay & Magne Mogstad & Jack Mount, 2024. "On the Use of Outcome Tests for Detecting Bias in Decision Making," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(4), pages 2135-2167.
    12. Adam Looney & Constantine Yannelis, 2015. "A Crisis in Student Loans? How Changes in the Characteristics of Borrowers and in the Institutions They Attended Contributed to Rising Loan Defaults," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(2 (Fall)), pages 1-89.
    13. Cox, James C. & Kreisman, Daniel & Dynarski, Susan, 2020. "Designed to fail: Effects of the default option and information complexity on student loan repayment," Journal of Public Economics, Elsevier, vol. 192(C).
    14. Annamaria Lusardi & Olivia S. Mitchell, 2023. "The Importance of Financial Literacy: Opening a New Field," Journal of Economic Perspectives, American Economic Association, vol. 37(4), pages 137-154, Fall.
    15. Peter Ganong & Pascal Noel, 2019. "Consumer Spending during Unemployment: Positive and Normative Implications," American Economic Review, American Economic Association, vol. 109(7), pages 2383-2424, July.
    16. Bartlett, Robert & Morse, Adair & Stanton, Richard & Wallace, Nancy, 2022. "Consumer-lending discrimination in the FinTech Era," Journal of Financial Economics, Elsevier, vol. 143(1), pages 30-56.
    17. Signe-Mary McKernan & Caroline Ratcliffe & Margaret Simms & Sisi Zhang, 2014. "Do Racial Disparities in Private Transfers Help Explain the Racial Wealth Gap? New Evidence From Longitudinal Data," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 949-974, June.
    18. John Knowles & Nicola Persico & Petra Todd, 2001. "Racial Bias in Motor Vehicle Searches: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 109(1), pages 203-232, February.
    19. Ulrike Malmendier & Stefan Nagel, 2016. "Learning from Inflation Experiences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(1), pages 53-87.
    20. Stefanie DeLuca & Nicholas W. Papageorge & Joseph L. Boselovic & Seth Gershenson & Andrew Gray & Kiara M. Nerenberg & Jasmine Sausedo & Allison Young, 2021. ""When Anything Can Happen”: Anticipated Adversity and Postsecondary Decision-Making," NBER Working Papers 29472, National Bureau of Economic Research, Inc.
    21. Eisfeldt, Andrea L. & Rampini, Adriano A., 2007. "New or used? Investment with credit constraints," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2656-2681, November.
    22. Blattner, Laura & Nelson, Scott, 2021. "How Costly Is Noise? Data and Disparities in Consumer Credit," Research Papers 3978, Stanford University, Graduate School of Business.
    23. Joanna Stavins, 2020. "Credit Card Debt and Consumer Payment Choice: What Can We Learn from Credit Bureau Data?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 58(1), pages 59-90, August.
    24. Meta Brown & John Grigsby & Wilbert van der Klaauw & Jaya Wen & Basit Zafar, 2016. "Financial Education and the Debt Behavior of the Young," The Review of Financial Studies, Society for Financial Studies, vol. 29(9), pages 2490-2522.
    25. Neil Bhutta & Jacob Goldin & Tatiana Homonoff, 2016. "Consumer Borrowing after Payday Loan Bans," Journal of Law and Economics, University of Chicago Press, vol. 59(1), pages 225-259.
    26. Benjamin M. Marx & Lesley J. Turner, 2019. "Student Loan Nudges: Experimental Evidence on Borrowing and Educational Attainment," American Economic Journal: Economic Policy, American Economic Association, vol. 11(2), pages 108-141, May.
    27. Raj Chetty & Nathaniel Hendren & Maggie R Jones & Sonya R Porter, 2020. "Race and Economic Opportunity in the United States: an Intergenerational Perspective [“Intergenerational Mobility of Immigrants in the US Over Two Centuries,”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 711-783.
    28. Donald P. Morgan & Michael R. Strain & Ihab Seblani, 2012. "How Payday Credit Access Affects Overdrafts and Other Outcomes," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 519-531, March.
    29. Holger Mueller & Constantine Yannelis, 2022. "Increasing Enrollment in Income‐Driven Student Loan Repayment Plans: Evidence from the Navient Field Experiment," Journal of Finance, American Finance Association, vol. 77(1), pages 367-402, February.
    30. Neil Bhutta & Paige Marta Skiba & Jeremy Tobacman, 2015. "Payday Loan Choices and Consequences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(2-3), pages 223-260, March.
    31. Will Dobbie & Jae Song, 2020. "Targeted Debt Relief and the Origins of Financial Distress: Experimental Evidence from Distressed Credit Card Borrowers," American Economic Review, American Economic Association, vol. 110(4), pages 984-1018, April.
    32. Benjamin J & Neale Mahoney & Hanbin Yang & Tarun Ramadorai, 2023. "What Determines Consumer Financial Distress? Place- and Person-Based Factors," The Review of Financial Studies, Society for Financial Studies, vol. 36(1), pages 42-69.
    33. Yurko, Anna, 2008. "From Consumer Incomes to Car Ages: How the Distribution of Income Affects the Distribution of Vehicle Vintages," MPRA Paper 8849, University Library of Munich, Germany, revised Apr 2008.
    34. Abraham, Katharine G. & Filiz-Ozbay, Emel & Ozbay, Erkut Y. & Turner, Lesley J., 2020. "Framing effects, earnings expectations, and the design of student loan repayment schemes," Journal of Public Economics, Elsevier, vol. 183(C).
    35. Raj Chetty & Will Dobbie & Benjamin Goldman & Sonya R. Porter & Crystal S. Yang, 2024. "Changing Opportunity: Sociological Mechanisms Underlying Growing Class Gaps and Shrinking Race Gaps in Economic Mobility," Working Papers 24-38, Center for Economic Studies, U.S. Census Bureau.
    36. Munnell, Alicia H. & Geoffrey M. B. Tootell & Lynn E. Browne & James McEneaney, 1996. "Mortgage Lending in Boston: Interpreting HMDA Data," American Economic Review, American Economic Association, vol. 86(1), pages 25-53, March.
    37. Brown, James R. & Cookson, J. Anthony & Heimer, Rawley Z., 2019. "Growing up without finance," Journal of Financial Economics, Elsevier, vol. 134(3), pages 591-616.
    38. Marx, Benjamin M. & Turner, Lesley J., 2020. "Paralysis by analysis? Effects of information on student loan take-up," Economics of Education Review, Elsevier, vol. 77(C).
    39. Mario L. Small & Armin Akhavan & Mo Torres & Qi Wang, 2021. "Banks, alternative institutions and the spatial–temporal ecology of racial inequality in US cities," Nature Human Behaviour, Nature, vol. 5(12), pages 1622-1628, December.
    40. Hadi Elzayn & Evelyn Smith & Thomas Hertz & Cameron Guage & Arun Ramesh & Robin Fisher & Daniel E Ho & Jacob Goldin, 2025. "Measuring and Mitigating Racial Disparities in Tax Audits," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(1), pages 113-163.
    41. Andres Liberman & Christopher Neilson & Luis Opazo & Seth Zimmerman, 2018. "The Equilibrium Effects of Information Deletion: Evidence from Consumer Credit Markets," NBER Working Papers 25097, National Bureau of Economic Research, Inc.
    42. Morse, Adair, 2011. "Payday lenders: Heroes or villains?," Journal of Financial Economics, Elsevier, vol. 102(1), pages 28-44, October.
    43. Daniel Hartley & Bhashkar Mazumder & Aastha Rajan, 2019. "How Similar Are Credit Scores Across Generations?," Chicago Fed Letter, Federal Reserve Bank of Chicago.
    44. Smith, Tony E. & Smith, Marvin M. & Wackes, John, 2008. "Alternative financial service providers and the spatial void hypothesis," Regional Science and Urban Economics, Elsevier, vol. 38(3), pages 205-227, May.
    45. Daniel Aaronson & Daniel Hartley & Bhashkar Mazumder & Martha Stinson, 2023. "The Long-Run Effects of the 1930s Redlining Maps on Children," Journal of Economic Literature, American Economic Association, vol. 61(3), pages 846-862, September.
    46. Alexander W. Bartik & Elizabeth Rhodes & David E. Broockman & Patrick K. Krause & Sarah Miller & Eva Vivalt, 2024. "The Impact of Unconditional Cash Transfers on Consumption and Household Balance Sheets: Experimental Evidence from Two US States," NBER Working Papers 32784, National Bureau of Economic Research, Inc.
    47. Bohren, Aislinn & Hull, Peter & Imas, Alex, 2022. "Systemic Discrimination: Theory and Measurement," CEPR Discussion Papers 17136, C.E.P.R. Discussion Papers.
    48. Alicia S. Modestino & Rachel Sederberg & Liana Tuller, 2019. "Assessing the Effectiveness of Financial Coaching: Evidence from the Boston Youth Credit Building Initiative," Journal of Consumer Affairs, Wiley Blackwell, vol. 53(4), pages 1825-1873, December.
    49. Taha Choukhmane & Jorge Colmenares & Cormac O'Dea & Jonathan L. Rothbaum & Lawrence D.W. Schmidt, 2024. "Who Benefits from Retirement Saving Incentives in the U.S.? Evidence on Gaps in Retirement Wealth Accumulation by Race and Parental Income," NBER Working Papers 32843, National Bureau of Economic Research, Inc.
    50. Wang, Jialan & Burke, Kathleen, 2022. "The effects of disclosure and enforcement on payday lending in Texas," Journal of Financial Economics, Elsevier, vol. 145(2), pages 489-507.
    51. Ulrike Malmendier & Stefan Nagel, 2011. "Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 373-416.
    52. Neil Bhutta & Glenn B. Canner, 2013. "Mortgage Market Conditions and Borrower Outcomes: Evidence from the 2012 HMDA Data and Matched HMDA–Credit Record Data," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), vol. 99(4), November.
    53. Marianne Bertrand & Adair Morse, 2011. "Information Disclosure, Cognitive Biases, and Payday Borrowing," Journal of Finance, American Finance Association, vol. 66(6), pages 1865-1893, December.
    54. Theodos, Brett & Stacy, Christina Plerhoples & Daniels, Rebecca, 2018. "Client led coaching: A random assignment evaluation of the impacts of financial coaching programs," Journal of Economic Behavior & Organization, Elsevier, vol. 155(C), pages 140-158.
    55. Sondra G. Beverly & Marianne A. Hilgert & Jeanne M. Hogarth, 2003. "Household financial management: the connection between knowledge and behavior," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Jul, pages 309-322.
    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. Christa Gibbs & Benedict Guttman-Kenney & Donghoon Lee & Scott Nelson & Wilbert van der Klaauw & Jialan Wang, 2025. "Consumer Credit Reporting Data," Journal of Economic Literature, American Economic Association, vol. 63(2), pages 598-636, June.
    2. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    3. Sabrina T. Howell & Theresa Kuchler & David Snitkof & Johannes Stroebel & Jun Wong, 2024. "Lender Automation and Racial Disparities in Credit Access," Journal of Finance, American Finance Association, vol. 79(2), pages 1457-1512, April.
    4. Ryan M. Goodstein & Alicia Lloro & Sherrie L.W. Rhine & Jeffrey M. Weinstein, 2021. "What accounts for racial and ethnic differences in credit use?," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(2), pages 389-416, June.
    5. Dasgupta, Kabir & Mason, Brenden J., 2020. "The effect of interest rate caps on bankruptcy: Synthetic control evidence from recent payday lending bans," Journal of Banking & Finance, Elsevier, vol. 119(C).
    6. Greenwald, Daniel L. & Howell, Sabrina T. & Li, Cangyuan & Yimfor, Emmanuel, 2024. "Regulatory arbitrage or random errors? Implications of race prediction algorithms in fair lending analysis," Journal of Financial Economics, Elsevier, vol. 157(C).
    7. Hadi Elzayn & Simon Freyaldenhoven & Ryan Kobler & Minchul Shin, 2025. "Measuring Fairness in the U.S. Mortgage Market," Working Papers 25-04, Federal Reserve Bank of Philadelphia.
    8. Terri Friedline & Nancy Kepple, 2017. "Does Community Access to Alternative Financial Services Relate to Individuals’ Use of These Services? Beyond Individual Explanations," Journal of Consumer Policy, Springer, vol. 40(1), pages 51-79, March.
    9. Marieke Bos & Chloé Le Coq & Peter van Santen, 2022. "Scarcity and consumers’ credit choices," Theory and Decision, Springer, vol. 92(1), pages 105-139, February.
    10. Cocco, João F. & Gomes, Francisco & Lopes, Paula, 2025. "Evidence on expectations of household finances," LSE Research Online Documents on Economics 125547, London School of Economics and Political Science, LSE Library.
    11. Yidi Liu & Xin Li & Zhiqiang (Eric) Zheng, 2024. "Consequences of China’s 2018 Online Lending Regulation and the Promise of PolicyTech," Information Systems Research, INFORMS, vol. 35(3), pages 1235-1256, September.
    12. Mangrum, Daniel, 2022. "Personal finance education mandates and student loan repayment," Journal of Financial Economics, Elsevier, vol. 146(1), pages 1-26.
    13. Peter Ganong & Damon Jones & Pascal J. Noel & Fiona E. Greig & Diana Farrell & Chris Wheat, 2020. "Wealth, Race, and Consumption Smoothing of Typical Income Shocks," NBER Working Papers 27552, National Bureau of Economic Research, Inc.
    14. Fu, Shun & Li, Emma & Liao, Li & Wang, Zhengwei & Xiang, Hongyu, 2025. "Unveiling the villain: Credit supply and the debt trap," Journal of Empirical Finance, Elsevier, vol. 81(C).
    15. Eoin McLaughlin & Rowena Pecchenino, 2022. "Fringe banking and financialization: Pawnbroking in pre‐famine and famine Ireland," Economic History Review, Economic History Society, vol. 75(3), pages 903-931, August.
    16. Ströbel, Johannes & Howell, Sabrina & Kuchler, Theresa & Snitkof, David, 2021. "Racial Disparities in Access to Small Business Credit: Evidence from the Paycheck Protection Program," CEPR Discussion Papers 16623, C.E.P.R. Discussion Papers.
    17. Laura Blattner & Scott Nelson, 2021. "How Costly is Noise? Data and Disparities in Consumer Credit," Papers 2105.07554, arXiv.org.
    18. Murizah Osman Salleh & Aziz Jaafar & M. Shahid Ebrahim, 2012. "Can an interest-free credit facility be more efficient than a usurious payday loan?," Working Papers 12008, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    19. Cullen F. Goenner, 2024. "The impact of payday alternative loans on credit union performance and loan quality," Journal of Consumer Affairs, Wiley Blackwell, vol. 58(2), pages 558-586, June.
    20. Desai, Chintal A. & Elliehausen, Gregory, 2017. "The effect of state bans of payday lending on consumer credit delinquencies," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 94-107.

    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:cen:wpaper:25-45. 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: Dawn Anderson (email available below). General contact details of provider: https://edirc.repec.org/data/cesgvus.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.