How Fair Lending Litigation Reduces Mortgage Discrimination: Federal Reserve FEDS 2026-012 Evidence

The Persistent Mortgage Gap: Why Black Borrowers Still Face Higher Denial Rates

Despite decades of civil rights legislation and regulatory reform, the mortgage market continues to exhibit stark racial disparities. A landmark new study from the Federal Reserve Board of Governors, published as FEDS 2026-012, provides the most comprehensive evidence to date that fair lending litigation is an effective tool to reduce racial discrimination in credit markets. The paper, authored by Matthew Maury of NYU School of Law, Michael Suher of the Federal Reserve Board, and Jeffery Y. Zhang of the University of Michigan Law School, analyzes every fair lending legal action filed between 1991 and 2023 — a total of 39 lawsuits.

The numbers paint a troubling picture of the mortgage landscape. According to Home Mortgage Disclosure Act (HMDA) data analyzed in the study, the overall denial rate for mortgage applications stands at 14.5%. However, while White applicants face a denial rate of 14.2%, Black applicants are denied at a rate of 29.7% — more than double. This disparity persists even after controlling for income, loan size, and other financial characteristics. Black applicants in the sample had an average income of $68,200 compared to $84,300 for White applicants, yet the denial rate gap far exceeds what income differences alone would predict.

The origination picture is equally concerning. White applicants see their mortgage applications result in an actual loan origination 79% of the time, while Black applicants achieve origination only 61.2% of the time. These are not merely statistics — they represent hundreds of thousands of families denied the opportunity to build wealth through homeownership, a cornerstone of financial stability in America. For those exploring how economic research is transforming our understanding of financial markets, similar analyses can be found in our interactive library of research summaries.

What makes the FEDS 2026-012 study particularly valuable is its focus not on documenting discrimination — which many previous studies have done — but on testing whether enforcement actually works. The researchers examined whether banks change their behavior after being sued for fair lending violations, and whether that change is sustained over time. The answer, as the following sections detail, is a resounding yes.

From Redlining to Fair Lending Litigation: A History of Housing Discrimination in America

To understand why fair lending enforcement matters today, it helps to appreciate the long arc of housing discrimination in the United States. The study places its findings within a historical context stretching back to the 1930s, when the Home Owners’ Loan Corporation (HOLC) created residential security maps that systematically classified neighborhoods by perceived investment risk. These maps — now known as “redlining maps” — designated predominantly Black and minority neighborhoods as “hazardous” for lending purposes, effectively cutting off those communities from mortgage credit.

The damage from these maps persisted for generations. Research cited in the paper shows that redlined neighborhoods had home prices 4.8% lower than comparable non-redlined areas decades after the maps were created. The effects extended beyond property values to influence homeownership rates, racial segregation patterns, and overall economic opportunity in affected communities. Combined with racially restrictive covenants — private agreements that prohibited the sale of property to non-White buyers — these policies created a structural barrier to Black homeownership that would take legislative action to begin dismantling.

The legislative response came in three major waves. The Fair Housing Act of 1968 prohibited discrimination in housing-related transactions, including mortgage lending. The Equal Credit Opportunity Act (ECOA) of 1974 broadened protections to cover all forms of credit. And the Community Reinvestment Act (CRA) of 1977 required banks to meet the credit needs of the communities they served, including low- and moderate-income neighborhoods. Despite these legislative milestones, the question remained: does enforcement of these laws actually change lender behavior? The FEDS 2026-012 study is the first to provide a comprehensive empirical answer.

The enforcement landscape itself has been uneven. Federal agencies including the Department of Justice (DOJ), the Consumer Financial Protection Bureau (CFPB), and the Office of the Comptroller of the Currency (OCC) have all pursued fair lending cases, but with varying intensity across different administrations. The study documents 39 major fair lending litigation actions over three decades — a relatively small number given the scale of the mortgage market, with over 13,000 active lenders during this period. Only 0.29% of lenders were ever subject to enforcement, raising important questions about whether increased enforcement could produce even greater reductions in discrimination.

Inside the Data: Building the First Comprehensive Database of Fair Lending Lawsuits

One of the most significant contributions of FEDS 2026-012 is the creation of a novel, hand-coded dataset of every fair lending litigation action from 1991 to 2023. This database, compiled by researchers at NYU, the Federal Reserve, and the University of Michigan, catalogs 39 lawsuits filed against mortgage lenders for discriminatory practices. Each case was coded for allegation type, plaintiff identity, geographic scope, settlement terms, and timeline.

The cases break down into four main categories of alleged discrimination. Discriminatory pricing and origination cases — where lenders are accused of charging higher rates or denying applications based on race — comprise the largest share at 18 cases (46%). Redlining cases, where banks allegedly avoided lending in minority neighborhoods altogether, account for 13 cases (33%). Reverse redlining, where lenders targeted minority borrowers with predatory products, represents 7 cases (18%). A single case involved purely discriminatory origination practices.

The plaintiff composition reveals the dominant role of federal enforcement. The federal government (primarily DOJ and CFPB) filed 28 of the 39 cases (72%), municipalities filed 7 cases (18%), and private class actions accounted for 4 cases (10%). This distribution underscores how dependent fair lending enforcement is on federal political will — a point that becomes critical when analyzing enforcement gaps. The geographic scope varied as well: 11 cases were nationwide in scope, while 28 targeted specific markets or regions.

Settlement amounts ranged from relatively modest to substantial. The largest was the 2012 case against Wells Fargo, which resulted in a $175 million compensatory fund. J.P. Morgan Chase settled for $53 million in 2017, Hudson City Savings Bank agreed to $32.75 million in remediation in 2015, and Suntrust Mortgage paid $21 million in 2012. These settlements typically included both monetary penalties and structural reforms — anti-bias training, policy changes, and requirements to open branches in underserved areas.

The researchers merged this litigation database with HMDA mortgage application data, creating a final sample of approximately 10.7 million mortgage applications. They employed a careful sampling strategy, retaining full data for smaller defendant banks and non-White applicants at larger banks while taking a 10% random subsample of other observations. Weighted regressions ensured the sampling approach did not bias results. This methodological rigor, combined with the comprehensive litigation database, positions the study as the definitive examination of whether fair lending litigation works.

The Central Finding: Fair Lending Litigation Cuts the Black-White Mortgage Denial Gap

The paper’s core result is striking: after being sued for fair lending violations, banks reduced their denial rate for Black mortgage applicants by 3.87 percentage points relative to their pre-litigation baseline. This finding, statistically significant at the 1% level, represents more than a modest improvement — it effectively eliminates the excess racial disparity that existed at litigated banks relative to their competitors.

To understand the magnitude of this effect, consider the baseline numbers. Before litigation, banks that would eventually be sued were already denying Black applicants at a rate 3.13 percentage points higher than the racial gap at non-litigated banks. The overall Black-White denial gap at non-litigated banks stood at 9 percentage points after controlling for income, loan size, and bank fixed effects. At banks later subject to enforcement, the total gap was approximately 12 percentage points — roughly double the overall 14% denial rate in the sample. The post-litigation reduction of 3.87 percentage points therefore not only eliminated this excess disparity but slightly overshot, suggesting that enforcement motivated banks to go beyond mere compliance.

The results extended beyond denials to actual loan originations. Post-litigation origination rates for Black applicants increased by 3.18 percentage points, confirming that reduced denials translated into real mortgage access. Interestingly, the rate at which applications were accepted but not ultimately originated also increased slightly by 0.69 percentage points. This suggests some banks may have offered terms that applicants found unfavorable, though the net effect was overwhelmingly positive for Black borrowers.

The researchers employed a triple difference-in-differences estimation strategy — comparing outcomes for Black versus White applicants, before versus after litigation, at litigated versus non-litigated banks. This design controls for general trends in mortgage lending, bank-specific policies, and broader changes affecting all applicants of a given race. Event study analysis confirmed that the effects emerged at the time of litigation filing and persisted through at least four years post-filing, with the largest reductions occurring in years two through four after a lawsuit was filed.

Across 25 individually analyzed litigation actions where sufficient data existed, 21 showed decreased Black-White denial disparities after litigation. The reductions ranged from approximately 2 to 22 percentage points. Only 4 cases showed increased disparities, and just 2 of those were statistically significant. This consistency across diverse cases, geographies, and time periods strengthens the conclusion that litigation is a genuine driver of behavioral change rather than a statistical artifact. Our interactive library features additional analyses of how regulatory enforcement shapes financial market outcomes.

Breaking Down Results: How Different Discrimination Claims Produce Different Outcomes

Not all forms of fair lending litigation produce identical effects, and the FEDS 2026-012 paper carefully separates results by allegation type. This analysis reveals important nuances about which enforcement strategies are most effective at reducing racial disparities in mortgage lending.

Discriminatory pricing and origination cases showed the strongest and most statistically significant effects. Banks sued for charging Black borrowers higher prices or systematically denying their applications reduced their Black-White denial rate gap by 3.74 percentage points, significant at the 1% level. These cases had a clear pre-litigation excess disparity of 3.20 percentage points, confirming that the targeted banks were indeed engaging in measurable discriminatory behavior before enforcement. The origination rate for Black applicants increased correspondingly, suggesting genuine improvements in mortgage access.

Redlining cases — where banks were accused of avoiding lending in minority neighborhoods altogether — showed smaller effects. The post-litigation reduction in the denial gap was 0.95 percentage points, but this result was not statistically significant. This weaker effect may reflect the different nature of redlining: while pricing discrimination operates at the individual applicant level and can be corrected by changing pricing models, redlining involves structural decisions about where to operate that may take longer to reverse. Additionally, the pre-litigation coefficient for redlining cases was actually negative, suggesting that these banks may not have exhibited the same applicant-level denial disparities as pricing discriminators.

Reverse redlining cases — where lenders targeted minority borrowers with predatory loan products — showed a qualitatively different pattern entirely. Post-litigation, denial rates for Black applicants at these banks actually increased by 2.71 percentage points (though not statistically significant), while origination rates for all borrowers increased by 3.49 percentage points. This seemingly counterintuitive result makes theoretical sense: reverse redlining litigation targets lenders who were approving too many risky loans to minority borrowers, so the expected post-litigation response is increased discernment about creditworthiness, leading to some increase in appropriate denials while reducing predatory originations.

These distinctions carry important implications for enforcement strategy. The data suggest that regulatory agencies achieve the strongest measurable impact by targeting discriminatory pricing — the most common form of fair lending violation. Redlining cases may require longer time horizons or different outcome metrics to demonstrate their full effect. And reverse redlining enforcement operates through a fundamentally different mechanism, making blanket assessments of “litigation effectiveness” misleading without accounting for allegation type.

What Securitization Patterns Reveal About Pre-Litigation Mortgage Discrimination

One of the most compelling aspects of the FEDS 2026-012 study is its analysis of securitization patterns, which provides a unique window into whether pre-litigation discrimination was genuinely race-based or reflected legitimate risk-based lending decisions. The distinction matters enormously for policy: if banks were denying Black applicants because those applicants were truly less creditworthy, litigation forcing banks to approve more loans could increase default risk. If, instead, banks were denying creditworthy Black applicants because of their race, then litigation corrects a market failure.

The securitization evidence strongly supports the latter interpretation. After litigation, there was a dramatic 9.83 percentage point increase in loans to Black borrowers being sold to Government-Sponsored Enterprises (GSEs) such as Fannie Mae and Freddie Mac. Simultaneously, loans to Black borrowers sold to private (non-GSE) investors decreased by 7.97 percentage points. Both effects were statistically significant at the 1% level.

Why does this matter? GSEs purchase loans that meet strict underwriting standards, including credit score, debt-to-income ratio, and loan-to-value requirements. A loan purchased by a GSE is essentially a stamp of creditworthiness. The massive shift toward GSE securitization of loans to Black borrowers after litigation indicates that the additional loans being approved were going to creditworthy applicants — people who met standard mortgage qualification criteria but had previously been denied because of their race.

Conversely, the pre-litigation pattern showed the opposite: loans to Black borrowers at banks that would later be sued were disproportionately sold to private investors (a 3.68 percentage point excess). Private securitization markets are less standardized and can accommodate riskier products, including the subprime and Alt-A products often associated with predatory lending. The shift from private to GSE securitization post-litigation suggests that enforcement not only reduced denials but improved the quality and fairness of the loan products offered to Black borrowers.

This securitization analysis effectively refutes the argument that fair lending enforcement merely forces banks to make riskier loans. The data demonstrate that banks were turning away qualified Black applicants before litigation and, once held accountable, began extending credit to borrowers who met established creditworthiness standards. This finding has profound implications for the ongoing debate about the appropriate role of government enforcement in credit markets.

The Ripple Effect: How Suing One Bank Changes Lending at Competing Banks

Perhaps the most policy-relevant finding in the FEDS 2026-012 study is the discovery of significant spillover effects. When a bank is sued for fair lending violations, competing banks operating in the same geographic area also change their behavior — even though they were not directly targeted by enforcement. This multiplier effect means each enforcement action has an impact far beyond its immediate target.

Specifically, non-litigated banks operating in the same Core-Based Statistical Area (CBSA) as a bank subject to fair lending litigation reduced their denial rates for Black mortgage applicants by 1.04 percentage points. While smaller than the 3.87 percentage point reduction at directly litigated banks, this effect was statistically significant at the 10% level. More impressively, origination rates for Black applicants at these non-litigated banks increased by 1.46 percentage points, significant at the 5% level.

The mechanism behind this spillover effect likely involves a combination of factors. First, litigation against a local competitor makes the risk of enforcement more salient to other banks in the area. A lawsuit generates news coverage, regulatory attention, and industry discussion that remind other lenders of their legal obligations. Second, the settlement terms in fair lending cases often include community reinvestment requirements — branch openings in underserved areas, marketing to minority communities, and enhanced lending targets — that increase competitive pressure on other banks to serve these same communities.

Third, the reputational costs of being named in a fair lending lawsuit create a deterrent effect. Banks observe that their competitor faces not only financial penalties (ranging up to $175 million in the Wells Fargo case) but also negative publicity, regulatory scrutiny, and operational disruptions. The rational response is to proactively review and improve their own lending practices before becoming a target. This deterrence channel is particularly important because it suggests that even modest levels of enforcement can produce outsized market-wide improvements.

For policymakers, the spillover finding means the return on investment from fair lending enforcement is substantially higher than a naive calculation based solely on direct effects would suggest. Each lawsuit corrects behavior not only at the sued institution but across its geographic market, amplifying the impact of limited enforcement resources. This is especially relevant given that only 39 cases were filed across three decades — a tiny fraction of the potential enforcement universe. Systematic analysis of how regulatory actions transform financial markets can be explored through our curated research collection.

Ruling Out Alternative Explanations for Fair Lending Improvements

A critical question for any causal analysis is whether the observed effects can be attributed to the treatment — in this case, litigation — rather than to confounding factors. The FEDS 2026-012 researchers conduct extensive robustness checks to address this concern.

The first potential confound is Community Reinvestment Act (CRA) agreements. Many banks enter into CRA agreements that include commitments to increase lending in underserved communities. If CRA agreements coincide with fair lending litigation, the observed improvements might reflect CRA compliance rather than litigation effects. The researchers tested this directly by adding CRA agreement controls to their regressions. The results were virtually unchanged: the post-litigation reduction in the Black-White denial gap remained 3.79 percentage points (compared to 3.87 in the main specification), confirming that litigation effects are independent of CRA commitments.

The second and more challenging confound involves Enforcement Decisions and Orders (EDOs). Fourteen of the 39 litigation cases in the sample were accompanied by formal supervisory enforcement actions, which can include requirements to change policies, hire compliance staff, and submit to enhanced monitoring. When the researchers controlled for EDOs — effectively asking whether litigation still matters after accounting for supervisory actions — the Black-specific denial reduction attenuated to a non-significant 0.79 percentage points.

However, this attenuation has an important nuance. The overall denial rate at litigated banks still decreased by 5.07 percentage points post-litigation even after controlling for EDOs, suggesting that enforcement actions broadly reduced denial rates for all applicants. Moreover, removing 14 of 39 cases from the treatment substantially reduces statistical power. The authors note that litigation and EDOs are often complementary enforcement mechanisms deployed simultaneously, making it difficult to isolate the independent contribution of each. The practical implication is that the combination of litigation and supervisory action produces robust improvements in lending outcomes.

Additional robustness checks included controlling for bank total assets (results unchanged), examining event study pre-trends (confirming parallel trends before litigation), and analyzing individual cases separately (21 of 25 showed improvement). The researchers also addressed concerns about mergers and acquisitions — five banks in the sample were acquired within four years of the complaint — by testing sensitivity to including or excluding these cases. The weight of evidence consistently supports the conclusion that fair lending litigation causes meaningful reductions in racial disparities in mortgage lending, as documented by the Federal Reserve’s Finance and Economics Discussion Series.

Policy Implications: The Case for Sustained Fair Lending Enforcement

The findings of FEDS 2026-012 arrive at a critical moment for fair lending policy. The study provides the first comprehensive empirical evidence that enforcement works — and works well. But the evidence also highlights the costs of enforcement gaps. The paper references research documenting a 99% drop in CFPB and DOJ fair lending enforcement actions after the 2017 change in administration, followed by measurably increased racial disparities in mortgage outcomes. Combined with the study’s findings that litigation reduces discrimination, this pattern suggests that enforcement reductions have real human costs.

Several policy implications emerge from the research. First, the case for sustained enforcement is now backed by rigorous evidence. Prior to this study, policymakers debating fair lending enforcement relied primarily on theoretical arguments and anecdotal evidence. The FEDS 2026-012 data show that litigation produces a 4 percentage point reduction in the racial denial gap at targeted banks, with spillover effects reaching banks throughout the local market. These are not trivial effects — applied to the millions of mortgage applications processed annually, they represent thousands of additional homeownership opportunities for Black families.

Second, the study suggests that enforcement resources should be directed toward discriminatory pricing cases, which showed the strongest and most statistically significant effects. While redlining and reverse redlining cases serve important purposes, pricing discrimination enforcement produces the most measurable improvement in denial rate disparities. This finding can help resource-constrained agencies prioritize their enforcement dockets for maximum impact.

Third, the spillover effects documented in the paper mean that enforcement agencies do not need to sue every bank to change market-wide behavior. A strategically targeted enforcement program — focusing on the most egregious violators in diverse geographic markets — can produce disproportionate improvements through deterrence. This makes fair lending enforcement particularly cost-effective relative to other policy interventions aimed at reducing discrimination.

Fourth, the securitization evidence eliminates one of the most common objections to fair lending enforcement: the claim that it forces banks to make risky loans. The dramatic shift from private to GSE securitization of loans to Black borrowers demonstrates that enforcement corrects market failures rather than creating new risks. Banks were denying creditworthy applicants before litigation and extending appropriate credit afterward. This evidence should factor into cost-benefit analyses of proposed regulatory actions.

Finally, the study underscores the importance of data infrastructure — specifically, the Home Mortgage Disclosure Act (HMDA) data that made this research possible. HMDA reporting requirements provide the transparency necessary to identify and quantify discrimination, monitor enforcement effectiveness, and hold institutions accountable. Proposals to weaken or narrow HMDA reporting would directly undermine the ability to detect and correct the very disparities this study documents.

As the mortgage market continues to evolve with new lending technologies, alternative data sources, and algorithmic underwriting, the fundamental challenge of fair lending enforcement remains unchanged: ensuring that credit decisions are based on financial merit rather than race. The FEDS 2026-012 study provides powerful evidence that litigation is an effective tool for meeting that challenge — one that produces lasting behavioral change at targeted banks while sending a deterrent signal across the entire market.