Abstract
The practice of credit scoring is ubiquitous in today’s economy. Three-digit credit scores or their underlying data are applied well beyond the lending decisions for which they were originally designed and are routinely used in the contexts of employment, housing, and more. Drawing on carceral logics and abolitionist politics, we develop a framework to critically interpret the practice of credit scoring. We theorize credit scoring as a carceral practice and technology in the afterlife of slavery that expands anti-black discipline and punishment. We suggest that credit scoring is incapable of objectively assessing risk and that claims of objectivity legitimize an exploitative system of evaluation that mediates people’s access to the means of survival. Moreover, credit scoring expands the scope of how people are conscripted into consumerism and disciplined and punished under racial capitalism. We review research literature on credit scoring as a step toward applying this framework and demonstrate how research provides an alibi for anti-black racism embedded in contemporary credit scores. We conclude with a call to abolish the practice of credit scoring and imagine new, abolitionist alternatives for people to live safely and with dignity.
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Notes
We note differences between related yet distinct products in the context of credit and offer definitions. A credit report is a statement that contains information about a person’s credit activities, such as histories of loan payments, status of credit accounts, and property liens and bankruptcies. A credit score is a three-digit numerical ordering produced by algorithmic processing of data from a person’s credit bureau files. The algorithms used to produce a person’s credit score can be different depending on the context, such as in rendering decisions about insurance versus lending products. The distinctions between a credit report and credit score can matter for identifying precise harms. We attempt to use the appropriate term for discussing the precise product at hand throughout our paper, where these terms appear. At the same time, we also deploy the phrase “the practice of credit scoring” to consider this set of related products in the context of credit.
During slavery, White women had owned enslaved black people, independent from their husbands or family estates, and they leveraged human chattel for accessing credit and taking out loans (Jones-Rogers, 2020).
We recognize the longer and more nuanced histories in the transitions from slave patrols to policing and present-day mass incarceration; though, we simplify this history here due to space limitations.
Data on race or ethnicity are not routinely available outside of the context of mortgage lending. This is because the Home Mortgage Disclosure Act (HMDA) requires lenders to collect this demographic information, yet protections under the Equal Credit Opportunity Act (ECOA) prohibit lenders from collecting racial demographic information.
The text of congressional legislation H.R. 3621 is available here: https://www.congress.gov/bill/116th-congress/house-bill/3621.
References
Adams, W., Einav, L., & Levin, J. (2009). Liquidity constraints and imperfect information in subprime lending. American Economic Review, 99(1), 49–84.
Adamson, B. L. (2020). Debt bondage: How private collection agencies keep the formerly incarcerated tethered to the criminal justice system. Northwestern Journal of Law and Social Policy, 15(3), 305–337.
Adamson, C. R. (1983). Punishment after slavery: Southern state penal systems, 1865–1890. Social Problems, 30(5), 555–569. https://doi.org/10.2307/800272
Agarwal, S., Ambrose, B. W., & Liu, C. (2006). Credit lines and credit utilization. Journal of Money, Credit and Banking, 38(1), 1–22.
Agarwal, S., Chomsisengphet, S., Liu, C., & Mielnicki, L. (2005). Impact of state exemption laws on small business bankruptcy decision. Southern Economic Law Journal, 71(3), 620–635.
Agarwal, S., Souphala, C., & Liu, C. (2010). The importance of adverse selection in the credit card market: Evidence from randomized trials of credit card solicitations. Journal of Money, Credit and Banking, 42(4), 743–754.
Allen, H. J. (2022). Driverless finance: Fintech’s impact on financial stability. Oxford University Press.
Ambrose, B. W., & Saunders, A. B. (2005). Legal restrictions in personal loan markets. The Journal of Real Estate Finance and Economics, 30(2), 133–151.
Anh, N. T., Tuong, P. T., Hanh, My., & Thu, V. T. L. (2021). Default in the US peer-to-peer market with COVID-19 pandemic update: An empirical analysis from LendingClub platform. International Journal of Entrepreneurship, 25(7), 1–19.
Anja, A. P., & Avenancio-León, C. F. (2021). No credit for time served? Incarceration and credit-driven crime cycles. University of California-San Diego.
Ards, S. D., Ha, I. S., Mazas, J.-L., & Myers Jr., S. L. (2015). Bad credit and intergroup differences in loan denial rates. Review of Black Political Economy, 42, 19–34.
Ausubel, L. M. (1999). Adverse selection in the credit card market. Department of Economics.
Avery, R. B., Brevoort, K. P., & Canner, G. B. (2009). Credit scoring and its effects on the availability and affordability of credit. The Journal of Consumer Affairs, 43(3), 516–537.
Baptist, E. E. (2014). The half has never been told: Slavery and the making of American capitalism. Basic Books.
Baptist, E. E. (2018). Toward a political economy of slave labor: Hands, whipping-machines, and modern power. In S. Beckert & S. Rockman (Eds.), Slavery’s capitalism: A new history of american development (pp. 31–61). University of Pennsylvania Press.
Baradaran, M. (2017). The color of money: Black banks and the racial wealth gap. Harvard University Press.
Beckert, S., & Rockman, S. (2018). Slavery’s capitalism: A new history of American economic development. University of Pennsylvania.
Benjamin, R. (2019). Race after technology: Abolitionist tools for the new JIM code (p. 78). Polity Press.
Berg, T., Burg, V., Gombović, A., & Puri, M. (2020). On the rise of fintechs: Credit scoring using digital footprints. The Review of Financial Studies, 33(7), 2845–2897. https://doi.org/10.1093/rfs/hhz099
Berger, A., Barrera, M., Parsons, L., & Klein, J. (2007). Credit scoring for microenterprise lenders. Accion.
Bernerth, J. B., Taylor, S. G., Jack Walker, H., & Whitman, D. S. (2012). An empirical investigation of dispositional antecedents and performance-related outcomes of credit scores. Journal of Applied Psychology, 97(2), 469–478. https://doi.org/10.1037/a0026055
Berry, D. R. (2018). Broad is de road dat leads ter death”: Human capital and enslaved mortality. In S. Beckert & S. Rockman (Eds.), Slavery’s capitalism: A new history of American development (pp. 146–162). University of Pennsylvania Press.
Bhardwaj, G., & Sengupta, R. (2014). Subprime cohorts and loan performance. Journal of Banking & Finance, 41, 236–252. https://doi.org/10.1016/j.jbankfin.2013.11.037
Bhutta, N., Hizmo, A., & Ringo, D. (2022). How much does racial bias affect mortgage lending? Evidence from human and algorithmic credit decisions. Board of Governors of the Federal Reserve. https://www.federalreserve.gov/econres/feds/files/2022067pap.pdf
Bhutta, N., & Hizmo, A. (2021). Do minorities pay more for mortgages?”. The Review of Financial Studies, 34(2), 763–789. https://doi.org/10.1093/rfs/hhaa047
Board of Governors of the Federal Reserve System. (2007). Report to the Congress on credit scoring and its effects on the availability and affordability of credit. The Federal Reserve. https://www.federalreserve.gov/boarddocs/rptcongress/creditscore/creditscore.pdf
Bornmann, L., & Wohlrabe, K. (2019). Normalisation of citation impact in economics. Scientometrics, 120, 841–884. https://doi.org/10.1007/s11192-019-03140-w
Brevoort, K. P., Grimm, P., & Kambara, M. (2016). Credit invisibles and the underscored. Cityscape, 18(2), 9–34.
Browne, S. (2013). Digital epidermalization: Race, identity and biometrics. Critical Sociology, 36(1), 131–150.
Browne, S. (2015). Dark matters: On the surveillance of blackness. Duke University Press.
Bubb, R., & Kaufman, A. (2014). Securitization and moral hazard: Evidence from credit score cutoff rules. Journal of Monetary Economics, 63, 1–18. https://doi.org/10.1016/j.jmoneco.2014.01.005
Consumer Financial Protection Bureau. (2014). Report on the use of remittance histories in credit scoring. CFPB. https://files.consumerfinance.gov/f/201407_cfpb_report_remittance-history-and-credit-scoring.pdf
Consumer Financial Protection Bureau. (2015). Data point: Credit invisibles. CFPB, Office of Research. https://files.consumerfinance.gov/f/201505_cfpb_data-point-credit-invisibles.pdf
Calem, P. S., & Wachter, S. M. (1999). Community reinvestment and credit risk: Evidence from an affordable-home-loan program. Real Estate Economics, 27(1), 105–134.
Carrillo, R. (2020). Testimony before the U.S. House of Representatives Committee on Financial Services, Task Force on Financial Technology: “License to Bank”: Examining the Legal framework governing who can lend and process payments in the Fintech age. U.S. House Financial Services Committee. https://financialservices.house.gov/uploadedfiles/hhrg-116-ba00-wstate-carrillor-20200929.pdf
Choi, J. H., McCargo, A., Neal, M., Goodman, L., & Young, C. (2019). Explaining the Black-White homeownership gap: A closer look at disparities across local markets. The Urban Institute. https://www.urban.org/sites/default/files/publication/101160/explaining_the_black-white_homeownership_gap_a_closer_look_at_disparities_across_local_markets_0.pdf
Coates, R. D. (2003). Law and the cultural production of race and racialized systems of oppression: Early American court cases. American Behavioral Scientist, 47(3), 329–351.
Davis, A. Y. (2003). Are prisons obsolete? Seven Stories Press.
Demyanyk, Y. S. (2009). Quick exits of subprime mortgages. The Federal Reserve Bank of St. Louis Review, 91(2), 79–93.
Deng, Y., & Gabriel, S. (2006). Risk-based pricing and the enhancement of mortgage credit availability among underserved and higher credit-risk populations. Journal of Money, Credit and Banking, 38(6), 1431–1460.
Denyer, D., & Tranfield, D. (2009). Producing a systematic review. In D. A. Buchanan & A. Bryman (Eds.), The Sage handbook of organizational research methods (pp. 671–689). Sage.
Ding, L., Hwang, J., & Divringi, E. (2016). Gentrification and residential mobility in Philadelphia. Regional Science and Urban Economics, 61, 38–51. https://doi.org/10.1016/j.regsciurbeco.2016.09.004
Ding, L., Quercia, R. G., Li, W., & Ratcliffe, J. (2011). Risky borrowers or risky mortgages: Disaggregating effects using propensity score models. Journal of Real Estate Research, 33(2), 245–277.
Du Bois, W. E. B. (1935). Black reconstruction in America. The Free Press.
Durr, M. (2015). What is the difference between slave patrols and modern day policing? Institutional violence in a community of color. Critical Sociology, 41(6), 873–879. https://doi.org/10.1177/0896920515594766
Ergungor, O. E., & Moulton, S. (2014). Beyond the transaction: Banks and mortgage default of low-income homebuyers. Journal of Money, Credit and Banking, 46(8), 1721–1751.
Evans, D. N. (2016). The effect of criminal convictions on real estate agent decisions in New York City. Journal of Crime and Justice, 39(3), 363–379. https://doi.org/10.1080/0735648X.2016.1166068
Faber, J. W. (2018). Segregation and the geography of creditworthiness: Racial inequality in a recovered mortgage market. Housing Policy Debate, 28(2), 215–247. https://doi.org/10.1080/10511482.2017.1341944
Faber, J. W. (2020). We built this: Consequences of New Deal era intervention in America’s racial geography. American Sociological Review, 85(5), 739–775. https://doi.org/10.1177/0003122420948464
Fields, K. E., & Fields, B. J. (2014). Racecraft: The soul of inequality in American life. Verso Books.
Fuster, A., Goldsmith-Pinkham, P., Ramadorai, T., & Walther, A. (2022). Predictably unequal? The effects of machine learning on credit markets. The Journal of Finance, 77(1), 5–47.
Fuster, A., Plosser, M., Schnabl, P., & Vickery, J. (2019). The role of technology in mortgage lending. The Review of Financial Studies, 32(5), 1853–1899. https://doi.org/10.1093/rfs/hhz018
Gilmore, R. W. (2007). Golden Gulag: Prisons, surplus, crisis, and opposition in globalizing California. University of California Press.
Gilmore, R. W. (2011). What is to be done? American Quarterly, 63(2), 245–265.
Gilmore, R. W. (2022). Abolition geography: Essays toward liberation. Verso.
Graeber, D. (2014). Debt: The first 5,000 years. Melville House Publishing.
Green, B. N., Johnson, C. D., & Adams, A. (2006). Writing narrative literature reviews for peer-reviewed journals: Secrets of the trade. Journal of Chiropractic Medicine, 5(3), 101–117.
Gross, D. B., & Souleles, N. S. (2002). An empirical analysis of personal bankruptcy and delinquency. The Review of Financial Studies, 15(1), 319–347.
Hadden, S. E. (2003). Slave patrols: Law and Violence in Virginia and the Carolinas. Harvard University Press.
Hall, S. (2021). Selected writings on race and difference. Duke University Press.
Harris, A. (2016). A pound of flesh: Monetary sanctions as punishment for the poor. Russell Sage Foundation.
Hartman, S. V. (1997). Scenes of subjection: Terror, slavery, and self-making in nineteenth-century America. Oxford University Press.
Haughwout, A., Okah, E., & Tracy, J. (2016). Second chances: Subprime mortgage modification and redefault. Journal of Money, Credit and Banking, 48(4), 771–793.
Haughwout, A., Peach, R., & Tracy, J. (2008). Juvenline delinquent mortgages: Bad credit or bad economy? Journal of Urban Economics, 64(2), 246–257. https://doi.org/10.1016/j.jue.2008.07.008
Heckman, J. J., & Moktan, S. (2020). Publishing and promotion in economics: The tyranny of the top five. Journal of Economic Literature, 58(2), 419–470. https://doi.org/10.1257/jel.20191574
Henderson, L., Herring, C., Horton, H. D., & Thomas, M. (2015). Credit where credit is due?: Race, gender, and discrimination in the credit scores of business startups. Review of Black Political Economy, 42, 459–479.
Hillier, A. (2003). Redlining and the home owners’ loan corporation. Journal of Urban History, 29(4), 395–420. https://doi.org/10.1177/0096144203029004002
Hoffman, T. (2021). Debt and policing: The case to abolish credit surveillance. Georgetown Journal on Poverty Law and Policy, 29(1), 93–119.
Hunt-Kennedy, S. (2020). ‘Had his nose cropt for being formerly runaway’: Disability and the bodies of fugitive slaves in the British Caribbean. Slavery & Abolition, 41(2), 212–233. https://doi.org/10.1080/0144039X.2019.1644886
Hyman, L. (2011). Ending discrimination, legitimating debt: The political economy of race, gender, and credit access in the 1960s and 1970s. Enterprise & Society, 12(1), 200–232. https://doi.org/10.1093/es/khq149
Iyer, R., Khwaja, A. I., Luttmer, E. F. P., & Shue, K. (2016). Screening peers softly: Inferring the quality of small borrowers. Management Science, 62(6), 1554–1577. https://doi.org/10.1287/mnsc.2015.2181
Jaffe, D. M., & Russell, T. (1976). Imperfect information, uncertainty, and credit rationing. The Quarterly Journal of Economics, 90(4), 651–666. https://doi.org/10.2307/1885327
Jagtiani, J., & Lemieux, C. (2019). The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform. Financial Management, 48, 1009–1029. https://doi.org/10.1111/fima.12295
Jenkins, D. (2021). The bonds of inequality: Debt and the making of the American city. Chicago University Press.
Jiang, Z., Zhang, D. J., & Chan, T. (2021). How do bonus payments affect the demand for auto loans and their delinquency?”. Journal of Marketing Research, 58(3), 476–496. https://doi.org/10.1177/00222437211009214
Jones-Rogers, S. (2020). They were her property: White women as slave owners in the American south. Yale University Press.
Kaba, M. (2021). We do this ‘Til we free us: Abolitionist organizing and transforming justice. Haymarket.
Kaepernick, C. (2021). Abolition for the people: The movement for a future without policing and prisons. Kaepernick Publishing.
Kaza, N., Quercia, R. G., & Tian, C. Y. (2014). Home energy efficiency and mortgage risks. Cityscape: A Journal of Policy Development and Research, 16(1), 279–298.
Kear, M. (2017). Playing the credit score game: Algorithms, ‘positive’ data and the personification of financial objects. Economy and Society, 46(3–4), 346–368.
Keefer, K. H. B. (2019). Marked by fire: Brands, slavery, and identity. Slavery & Abolition, 40(4), 659–681. https://doi.org/10.1080/0144039X.2019.1606521
Keys, B. J., Mukherjee, T., Seru, A., & Vig, V. (2009). Financial regulation and securitization: Evidence from subprime loans. Journal of Monetary Economics, 56, 700–720. https://doi.org/10.1016/j.jmoneco.2009.04.005
Khandani, A. E., Lo, A. W., & Merton, R. C. (2013). Systemic risk and the refinancing ratchet effect. Journal of Financial Economics, 108(1), 29–45. https://doi.org/10.1016/j.jfineco.2012.10.007
Kiviat, B. (2019a). The art of deciding with data: Evidence from how employers translate credit reports into hiring decisions. Socio-Economic Review, 17(2), 283–309. https://doi.org/10.1093/ser/mwx030
Kiviat, B. (2019b). The moral limits of predictive practices: The case of credit-based insurance scores. American Sociological Review, 84(6), 1134–1158. https://doi.org/10.1177/0003122419884917
Kolodinsky, J. M., & Roche, E. (2009). Objective measures as a predictor of late payments by high-risk borrowers. International Journal of Consumer Studies, 33, 591–595. https://doi.org/10.1111/j.1470-6431.2009.00802.x
Krippner, G. R. (2017). Democracy of credit: Ownership and the politics of credit access in late twentieth-century America. American Journal of Sociology, 123(1), 1–47. https://doi.org/10.1086/692274
Krippner, G. R., & Hirschman, D. (2022). The person of the category: The pricing of risk and the politics of classification in insurance and credit. Theory and Society, 51, 685–727.
Kuebler, M., & Rugh, J. S. (2013). New evidence on racial and ethnic disparities in homeownership in the United States from 2001 to 2010. Social Science Research, 42, 1357–1374. https://doi.org/10.1016/j.ssresearch.2013.06.004
LaCour-Little, M. (1999). Another look at the role of borrower characteristics in predicting mortgage prepayments. Journal of Housing Research, 10(1), 45–60. https://doi.org/10.1080/10835547.1999.12091944
LaCour-Little, M. (2004). Equity dilution: An alternative perspective on mortgage default. Real Estate Economics, 32(3), 359–384.
LaCour-Little, M., & Yang, J. (2013). Taking the lie out of liar loans: The effect of reduced documentation on the performance and pricing of alt-a and subprime mortgages. Journal of Real Estate Research, 35(4), 507–554. https://doi.org/10.1080/10835547.2013.12091374
Lauer, J. (2017). Creditworthy: A history of consumer surveillance and financial identity in America. Columbia University Press.
Levy, J. (2014). Freaks of fortune: The emerging world of capitalism and risk in America. Harvard University Press.
Li, W., White, M. J., & Zhu, N. (2011). Did bankruptcy reform cause mortgage defaults to rise? American Economic Journal Economic Policy, 3(4), 123–147.
Lin, M., Prabhala, N. R., & Viswanathan, S. (2013). Judging borrowers by the company they keep: Friendship networks and information asymmetry in online peer-to-peer lending. Management Science, 59(1), 17–35. https://doi.org/10.1287/mnsc.1120.1560
Mackenzie, L. Z. (2017). The afterlife of data: Identity, surveillance, and capitalism in trans credit reporting. Transgender Studies Quarterly, 4(1), 45–60. https://doi.org/10.1215/23289252-3711529
Martin, B. (2018). Neighbor-to-neighbor capitalism: Local credit networks and the mortgaging of slaves. In S. Beckert & S. Rockman (Eds.), Slavery’s capitalism: A new history of American development (pp. 107–121). University of Pennsylvania Press.
Massey, D. S., Rugh, J. S., Steil, J. P., & Albright, L. (2016). Riding the stagecoach to hell: A qualitative analysis of racial discrimination in mortgage lending. City & Community, 15(2), 118–136. https://doi.org/10.1111/cico.12179
Mayer, C., Pence, K., & Sherlund, S. M. (2009). The rise in mortgage defaults. Journal of Economic Perspectives, 23(1), 27–50.
McKittrick, K. (2014). Mathematics black life. The Black Scholar, 44(2), 16–28. https://doi.org/10.5816/blackscholar.44.2.0016
Moore, M. (2020, December 18). Biden wants to change how credit scores work in America. Fortune. https://fortune.com/2020/12/18/biden-public-credit-agency-economic-justice-personal-finance-racism-credit-scores-equifax-transuion-experian-cfpb/
Musto, D. K. (2004). What happens when information leaves a market? Evidence from postbankruptcy consumers. The Journal of Business, 77(4), 725–748. https://doi.org/10.1086/422437
Nelson, A. A. (2010). Credit scores, race, and residential sorting. Journal of Policy Analysis and Management, 29(1), 39–68. https://doi.org/10.1002/pam.20478
Noordewier, T. G., Harrison, D. M., & Ramagopal, K. (2001). Semivariance of property value estimates as a determinant of default risk. Real Estate Economics, 29(1), 127–159.
Nopper, T. K. (2021). Written testimony to the October 27, 2021 hearing by the U.S. House of Representatives Committee on Financial Services. In Bringing consumer protection back: A Semi-Annual Review of the Consumer Financial Protection Bureau, Washington, DC (pp. 90–97). https://www.govinfo.gov/content/pkg/CHRG-117hhrg46246/pdf/CHRG-117hhrg46246.pdf
Nopper, T. K. (2019). Digital character in “The scored society”: FICO, social networks, and competing measurements of creditworthiness. In R. Benjamin (Ed.), Captivating technology: Race, carceral technoscience, and liberatory imagination in everyday life (pp. 170–187). Duke University Press.
Nopper, T. K. (2020). Alternative data and the future of credit scoring. Data for Progress.
Norris, D. (2023a). Embedding racism: City government credit ratings and the institutionalization of race in markets. Social Problems, 70(4), 914–934. https://doi.org/10.1093/socpro/spab066
Norris, D. (2023b). The illusion of transparency: The political double standard in city credit ratings. Socio-Economic Review, 21(2), 1125–1150. https://doi.org/10.1093/ser/mwac016
Norris, D., & Martin, E. C. (2022). Is good credit good? State credit ratings and economic insecurity, 1996–2012. Sociological Forum, 37(1), 246–268. https://doi.org/10.1111/socf.12787
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Broadway Books.
O’Neil, M. (2019). Crossing the color line in the 21st century: Mortgaging increasingly diverse neighborhoods. University of Michigan Law School, Empirical Legal Studies Center.
Olegario, R. (2016). The engine of enterprise: Credit in America. Harvard University Press. https://doi.org/10.4159/9780674915480
Pasquale, F. (2015). The Black Box society: The secret algorithms that control money and information. Harvard University Press.
Paul, J., & Criado, A. R. (2020). The art of writing literature review: What do we know and what do we need to know? International Business Review, 29(4), 101717.
Quercia, R. G., Stegman, M. A., & Davis, W. R. (2007). The impact of predatory loan terms on subprime foreclosures: The special case of prepayment penalties and balloon payments. Housing Policy Debate, 18(2), 311–346. https://doi.org/10.1080/10511482.2007.9521603
Ratcliffe, C., Gongdon, W., Teles, D., Stanczyk, A., & Martín, C. (2020). From bad to worse: Natural disasters and financial health. Journal of Housing Research, 29(1), S25–S53. https://doi.org/10.1080/10527001.2020.1838172
Ray, V. (2019). A theory of racialized organizations. American Sociological Review, 84(1), 26–53.
Reid, C., & Laderman, E. (2009). The untold costs of subprime lending: Examining the links among higher-priced lending, foreclosures and race in California. The Federal Reserve Bank of San Francisco.
Rice, L., & Swesnik, D. (2012). Discriminatory effects of credit scoring on communities of color. Suffolk University Law Review, 46(3), 935–420.
Robinson, C. (1983). Black Marxism: The making of the Black radical tradition. University of North Carolina Press.
Rosamond, E. (2016). ‘All data is credit data’: Reputation, regulation and character in the entrepreneurial imaginary. Paragrana, 25(2), 112–124. https://doi.org/10.1515/para-2016-0032
Rosenthal, C. (2018). Accounting for slavery: Masters and managers. Harvard University Press.
Rugh, J. S., Albright, L., & Massey, D. S. (2015). Race, space, and cumulative disadvantage: A case study of the subprime lending collapse. Social Problems, 61(2), 186–218. https://doi.org/10.1093/socpro/spv002
Rugh, J. S., & Massey, D. S. (2010). Racial segregation and the American foreclosure crisis. American Sociological Review, 75(5), 629–651.
Schneider, R., & Schütte, A. (2007). The predictive value of alternative credit scores. Center for Financial Services Innovation.
Sengupta, R., & Bhardwaj, G. (2015). Credit scoring and loan default. International Review of Finance, 15(2), 139–167. https://doi.org/10.1111/irfi.12048
Shor, F. (2020). The long life of US institutionalized White supremacist terror. Critical Sociology, 46(1), 5–18. https://doi.org/10.1177/0896920519855775
Smith, B. C. (2011). Stability in consumer credit scores: Level and direction of FICO score drift as a precursor to mortgage default and prepayment. Journal of Housing Economics, 20, 285–298. https://doi.org/10.1016/j.jhe.2011.09.001
Smith, L. D., Staten, M., Eyssell, T., Karig, M., Freeborn, B. A., & Golden, A. (2013). Accuracy of information maintained by US credit bureaus: Frequency of errors and effects on consumers’ credit scores. The Journal of Consumer Affairs, 47(3), 588–601. https://doi.org/10.1111/joca.12017
Smith, M. M., & Henderson, C. (2018). Beyond thin credit files. Social Science Quarterly, 99(1), 24–42. https://doi.org/10.1111/ssqu.12389
Spruill, L. H. (2016). Slave patrols, “Packs of Negro dogs” and policing Black communities. Phylon, 53(1), 42–66. https://doi.org/10.2307/phylon1960.53.1.42
Stegman, M. A., Quercia, R. G., Ratcliffe, J., Ding, L., & Davis, W. R. (2007). Preventive servicing is good for business and affordable homeownership policy. Housing Policy Debate, 18(2), 243–278. https://doi.org/10.1080/10511482.2007.9521600
Steil, J. P., Albright, L., Rugh, J. S., & Massey, D. S. (2018). The social structure of mortgage discrimination. Housing Studies, 33(5), 759–776. https://doi.org/10.1080/02673037.2017.1390076
Stewart, J. B. (2005). Is there racism in economic research? Research networks and discrimination research. European Journal of Political Economy, 21(3), 790–794. https://doi.org/10.1016/j.ejpoleco.2004.09.005
Stop LAPD Spying Coalition. (2021). Data-driven policing: Abolition requires a culture of resistance. The Abolitionist, 35, 11–12.
Taylor, K.-Y. (2019). Race for profit: How banks and the real estate industry undermined black homeownership. The University of North Carolina Press.
Thomas, R. E., & Viginia, M. G. (1997). Database marketing practice: Protecting consumer privacy. Journal of Public Policy, 16(1), 147–155.
Thurston, C. (2018). At the boundaries of homeownership: Credit, discrimination, and the American state. Cambridge University Press.
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
Traub, A., & McElwee, S. (2016, February 25). Bad credit shouldn’t block employment: How to make state bans on employment credit checks more effective. Dēmos. https://www.demos.org/research/bad-credit-shouldnt-block-employment-how-make-state-bans-employment-credit-checks-more
Traub, A. (2020, November 16). How Biden’s plan for a public credit registry will build economic power for Black and brown communities. Dēmos. https://www.demos.org/blog/how-bidens-plan-public-credit-registry-will-build-economic-power-black-and-brown-communities
Turner, M. A., Lee, A. S., Schnare, A., Varghese, R., & Walker, P. D. (2006). Give credit where credit is due: Increasing access to affordable mainstream credit using alternative data. Brookings Institution.
Turner, M. A., & Varghese, R. (2005). Giving underserved consumers better access to the credit system: The promise of non-traditional data. Information Policy Institute.
Wakelam, A. (2021). Credit and debt in eighteenth-century England: An economic history of debtors’ prisons. Routledge.
Wang, J. (2018). Carceral capitalism. Semiotext(e).
Wilchens, D., & Stempel, J. (2008, November 24). Citigroup gets massive government bailout. Reuters. https://www.reuters.com/article/us-citigroup/citigroup-gets-massive-government-bailout-idUSTRE4AJ45G20081125
Woods II, L. L. (2012). The Federal Home Loan Bank Board, Redlining, and the national proliferation of racial lending discrimination, 1921–1950. Journal of Urban History, 38(6), 1036–1059. https://doi.org/10.1177/0096144211435126
Wu, C. C. (2021). The credit score pandemic paradox and credit invisibility. National Consumer Law Center.
Acknowledgements
The authors thank the Abolitionist Social Change Collective (ASCC) and participants of the University of California Washington Center’s Abolitions Conference for their valuable feedback on early drafts of this paper. We also thank participants for their comments during a convening sponsored by The New School’s Institute on Race, Power, and Political Economy, including Drs. Darrick Hamilton, Grieve Chelwa, and Suparna Bhaskaran.
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Friedline, T., Stewart, K., Bolinger, C. et al. Credit Scoring as a Carceral Practice: An Abolitionist Framework. Race Soc Probl 16, 230–248 (2024). https://doi.org/10.1007/s12552-023-09406-6
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DOI: https://doi.org/10.1007/s12552-023-09406-6