Real Denial Rates: A New Tool to Look at Who Is Receiving Mortgage Credit

ABSTRACT

The observed mortgage denial rate (ODR), calculated from Home Mortgage Disclosure Act (HMDA) data, is often used to measure mortgage credit availability, but it does not account for shifts in applicants’ credit profiles. In this article, we develop an additional tool, which we call the real denial rate (RDR), as a way to account for credit differences and hence more consistently measure denial rates and mortgage credit accessibility. We match HMDA data with CoreLogic proprietary data to obtain both borrower demographic information (e.g., income and race and ethnicity) and mortgage credit characteristics (e.g., loan-to-value ratios, debt-to-income ratios, and credit scores). We account for shifts in applicants’ credit profiles by considering only the denial rate of low-credit-profile applicants. Our RDR results show that conventional mortgages have higher denial rates than government mortgages do, racial and ethnic differences are smaller than the ODR indicates but are not eliminated, and small-dollar mortgages have higher RDRs, particularly in the government loan channel.     

Market segmentation and lender specialization in the primary and secondary mortgage markets

Abstract

This paper provides a comprehensive evaluation of market segmentation and lender/purchaser specialization in the primary and secondary mortgage markets. It describes and assesses the 1990 Home Mortgage Disclosure Act (HMDA) data, which for the first time provide detailed information on the borrower and neighborhood racial and income characteristics of mortgage loan originations and securitizations in the primary and secondary mortgage markets. Evidence presented in the paper indicates that home purchase loan origination rates for black applicants—and, to a lesser degree, Hispanic applicants—appear to be significantly lower than those of other racial or ethnic groups. Similarly, the HMDA data reveal that home purchase mortgage origination rates in predominantly minority census tracts are significantly lower than those in predominantly white neighborhoods. The HMDA data also indicate a striking reliance of black borrowers on government‐backed forms of mortgage credit.

The paper further reveals that secondary market loan purchase distributions arrayed by borrower and neighborhood characteristics generally reflect those of home mortgage originations. The borrower and locational characteristics of home purchase loans acquired by the Government National Mortgage Association (GNMA) directly reflect that agency's legislated specialization in government‐backed loans, whereas the characteristics of loans acquired by Fannie Mae and Freddie Mac for the most part derive from the borrower and geographic composition of conventional home purchase loan originations. Findings of analyses of HMDA data raise concern regarding the access of minority and low‐income households and neighborhoods to mortgage finance. Those results also raise some question as to whether the federally chartered agencies in the secondary market are adequately promoting the availability of mortgage credit to low‐ and moderate‐income and minority households.     

Islands of decay in seas of renewal: Housing policy and the resurgence of gentrification

Abstract

For many observers, the recession of the early 1990s signaled the end of what Berry called islands of renewal in seas of decay. In the past decade, however, shifts in mortgage finance have intersected with developments in assisted housing to alter the links between gentrification and housing policy. In this article, we use field observation, Home Mortgage Disclosure Act data, and HOPE VI plans to analyze the resurgence of gentrification in eight U.S. cities.

Between 1992 and 1997, gentrified neighborhoods attracted conventional homepurchase mortgage capital at a rate that grew at more than 2.3 times the suburban rate. Logit models confirm that mortgage capital favors gentrified neighborhoods even after controlling for applicant and loan characteristics, suggesting a new relationship between mortgage lending and neighborhood change. In some cities, gentrification has surrounded islands of decay and poverty with landscapes of renewal     

Temporary Loan Limits as a Natural Experiment in Federal Housing Administration Insurance

The Economic Stimulus Act of 2008 dramatically but temporarily increased the mortgage loan amount eligible for insurance through the Federal Housing Administration (FHA). We use the implementation and expiration of these loan limits as a source of exogenous variation in the availability of FHA insurance to measure the impact on the overall mortgage market and conventional lending. We find that the introduction of higher loan limits increased the number of loan originations, but that the expiration of those loan limits roughly 6 years later did not significantly decrease affected loan originations. The substitution between loan products and small net impact on the overall mortgage market when the ESA loan limits expired may be explained by the return of a stronger conventional lending industry than existed during the housing crisis.     

Home mortgage lending by applicant race: Do HMDA figures provide a distorted picture?

Abstract

The Home Mortgage Disclosure Act of 1975 (HMDA) was designed to further fair access to mortgage credit and requires lenders to report such information as location, loan amount, income, and race and sex for each application. However, race is missing in a significant proportion of applications taken by mail or phone. Given the widespread use of HMDA data by lenders, community groups, researchers, and regulators and the importance of mortgage lending as a public policy issue, the strengths and shortcomings of these data must be clearly understood.

The main findings are that reported approval rates by race are significantly overstated for refinance and home improvement loans, while home purchase loans are little affected. A review of trends in how race is reported and in the technology of mortgage lending indicates that missing data on race will become a bigger and bigger problem in the near future.     

Segregation and the Geography of Creditworthiness: Racial Inequality in a Recovered Mortgage Market

The subprime boom and subsequent foreclosure crisis highlighted risk associated with pursuit of the American Dream of homeownership. People of color and those living in segregated areas were particularly harmed by the dramatic rise and fall of the housing market. Almost a decade after the economy’s collapse, questions remain about racial and spatial disparities in access to mortgage credit. I leverage Home Mortgage Disclosure Act data to explore mortgage application outcomes in 2014. Well into the economy’s recovery, minority borrowers remained at a disadvantage in the mortgage approval process. Whereas 71% of White applicants were approved for home loans, approval rates were lower for Asians (68%), Latinos (63%), and Blacks (54%). Black and Latino borrowers were also significantly more likely to receive higher cost loans than Whites, a practice that has accelerated since the foreclosure crisis. Results suggest that segregation exacerbated racial disparities as lenders funneled expensive credit into isolated minority communities. Furthermore, the differences between White and minority outcomes were largest in census tracts where subprime lending was common in 2006 and foreclosures accumulated during the Great Recession. Together, these findings indicate how spatially organized markets have racialized consequences in a highly segregated society.     

“The Color of Money” revisited: Racial lending patterns in Atlanta's neighborhoods

Abstract

In 1988, the Atlanta Journal‐Constitution published “The Color of Money,” an influential series examining mortgage redlining in Atlanta. The articles documented wide lending disparities between white and black neighborhoods of similar income levels. Given sweeping changes in housing finance since 1988, we seek to determine whether Atlanta's racial geographic disparities in mortgage lending have changed.

Analysis of 1992 to 1996 Home Mortgage Disclosure Act data reveals slight improvement. Atlanta's depository lenders made 4.2 times as many conventional home purchase loans per owner‐occupied unit to middle‐income white neighborhoods as they did to middle‐income black neighborhoods; a decade earlier, this ratio was 5.2. Nondepositories post lower ratios, particularly for Federal Housing Administration‐insured loans, but this market segment raises concerns because of potential abuses. By the indicator of most enduring theoretical and policy interest—conventional home purchase lending by depositories—the patterns that aroused concern a decade ago are still evident today.     

Mortgage Choice in Rural Housing

Rural homeownership is promoted in the United States by mortgage insurance programs administered by the federal government. We analyze the choice between assistance offered by two such agencies: the Federal Housing Administration and the Rural Housing Service (RHS). We find applicants are sensitive to the relative annual mortgage insurance premiums and guarantee fees. However, there are also persistent racial differences as well as institutional effects. We also find the application and origination process is substantially longer in the RHS program, but variation in closing times does not clearly impact mortgage choice.     

Does homeownership counseling affect the prepayment and default behavior of affordable mortgage borrowers?

The lack of industrywide data on homeownership education and counseling (HEC) programs has severely limited evaluation. In particular, very little evidence exists on the relationship between HEC completion and loan prepayment, an outcome of interest to both mortgage lenders and consumer advocates. Where mortgage prepayment directly influences the sustainability of affordable mortgage products, it also reflects the ability of underserved borrowers to access lower‐cost credit through refinancing. This study uses a uniquely rich data set to examine the impact of HEC completion on prepayment and defaultamongborrowers receivingHECfrom a variety of providers across 42 states. The loans, originated between 1999 and 2003, are observed through the first quarter of 2006, a period in which strong housing appreciation and decreasing interest rates generated substantial refinancing activity. Using a competing risks model of mortgage prepayment and default, we find that HEC programs based on classroom instruction and individual counseling improve a borrower's exercise of the mortgage prepayment option, but that programs based on home study or telephone counseling did not affect borrower behavior. Counseling shows no effect on default propensities. © 2008 by the Association for Public Policy Analysis and Management.     

The facts of lending discrimination cannot be argued away by examining default rates

Abstract

This article argues that interracial differentials in mortgage default rates are an unreliable indicator of racial discrimination in mortgage markets.

First, minority applicants may be approved at nondiscriminatory institutions and thereby end up in the pool of mortgagors, even though they were first discriminated against at other institutions. Second, even with no mortgage discrimination, the expected default risk of minority mortgagors overall is probably higher than that of white mortgagors overall. Thus, even if discrimination eliminated some of the riskier minority applicants, it is not necessarily true that the default rate of minority mortgagors will be lower than that of whites.     

Using Preferred Applicant Random Assignment (PARA) to Reduce Randomization Bias in Randomized Trials of Discretionary Programs

Randomization bias occurs when the random assignment used to estimate program effects influences the types of individuals that participate in a program. This paper focuses on a form of randomization bias called “applicant inclusion bias,” which can occur in evaluations of discretionary programs that normally choose which of the eligible applicants to serve. If this nonrandom selection process is replaced by a process that randomly assigns eligible applicants to receive the intervention or not, the types of individuals served by the program—and thus its average impact on program participants—could be affected. To estimate the impact of discretionary programs for the individuals that they normally serve, we propose an experimental design called Preferred Applicant Random Assignment (PARA). Prior to random assignment, program staff would identify their “preferred applicants,” those that they would have chosen to serve. All eligible applicants are randomly assigned, but the probability of assignment to the program is set higher for preferred applicants than for the remaining applicants. This paper demonstrates the feasibility of the method, the cost in terms of increased sample size requirements, and the benefit in terms of improved generalizability to the population normally served by the program.     

Demographic characteristics of disability applicants: relationship to allowances.

This article highlights some of the causes underlying differences in disability allowances by sex and race. Among the causes are differences in labor-force patterns, the educational background, and the age distributions of the insured and applicant populations. More than half of the differences between the black and white applicants in the proportion of claims allowed is explained by differences in their age distributions. The lower proportion of claims allowed for black applicants may reflect the greater tendency fo the black insured population to apply for disability insurance benefits.     

Innovation and the cost of mortgage credit: A historical perspective

Abstract

Since the inception of U.S. institutional mortgage lending in the 1830s there have been major changes in mortgage instruments, the delivery system, and funding sources. Some of these changes qualify as innovations that have lowered the cost of credit and increased its availability. This article divides the history of U.S. mortgage finance into three periods and identifies the source and type of major innovations.

The “Origins” period, from 1831 to 1931, included the development of many mortgage lending institutions and instruments. The second era, “A Wonderful Life,” featured a government‐supported special circuit that dominated mortgage finance from 1932 to 1981 and witnessed development of mortgage‐backed securities. The current era, “A Brave New World,” features a new system of credit delivery dominated by specialized institutions and technology. In it, application of automated underwriting and artificial intelligence may have far‐reaching effects on the market and the accessibility of low‐income households to mortgage credit.     

Originating lender localness and mortgage sustainability: an evaluation of delinquency and foreclosure in Indiana's mortgage revenue bond program

Originating lenders play a vital role in selecting and preparing borrowers for homeownership, directly and through partnerships with community entities. While previous research demonstrates the importance of originating lenders for mortgage access to low- and moderate-income borrowers, this analysis evaluates the influence of the originating lender, and in particular the localness of the lender, on mortgage sustainability (reduced delinquency and foreclosure). Employing data on more than 5,000 low- and moderate-income borrowers participating in Indiana's Mortgage Revenue Bond (MRB) program from 2004–2006, this analysis finds that the localness of the originating lender is significantly predictive of mortgage sustainability. After controlling for borrower, mortgage, and market characteristics, an increase in the localness of the lender is associated with a decrease in the probability of delinquency and foreclosure, particularly for higher risk (lower credit score) borrowers participating in the MRB program.     

Comment on “Does the Likely Demographics of Affordable Housing Justify NIMBYism?”

Abstract

Automated underwriting (AU) systems have become the tool of choice in mortgage lending decisions. While these systems provide significant benefits to mortgage originators and investors, questions have been raised about their impact on underserved populations. The questions focus on the relative accuracy of AU compared with manual underwriting and whether AU has increased the flow of mortgage credit to underserved consumers.

Using information from Freddie Mac's Loan Prospector AU service, we provide statistics useful in examining these issues. The data strongly support our view that AU provides substantial benefits to consumers, particularly those at the margin of the underwriting decision. We find evidence that AU systems more accurately predict default than manual underwriters do. We also find evidence that this increased accuracy results in higher borrower approval rates, especially for underserved applicants.     

Location‐Efficient Mortgages: Is the Rationale Sound?

Location efficient mortgage (LEM) programs are an increasingly popular approach to combating urban sprawl. LEMs allow families who want to live in densely populated, transit‐rich communities to obtain a larger mortgage with a smaller down payment than traditional underwriting guidelines allow. LEMs are premised on the proposition that homeowners in such “location‐efficient” areas can safely be allowed to breach underwriting guidelines designed to prevent mortgage default because they have lower than average automobile‐related transportation expenses and more income available for mortgage payments. This paper employs records of more than 8000 FHA‐insured mortgages matched with data on various measures of location efficiency to test this proposition. The results suggest that it does not hold and that LEMs—like other low‐down‐payment mortgage programs—will raise mortgage default rates. This cost must be weighed against any potential anti‐sprawl benefits LEMs may have. © 2001 by the Association for Public Policy Analysis and Management.     

Rolling the Dice on Foreclosure Prevention: Differences Across Mortgage Servicers in Loan Modifications and Loan Cure Rates

Mortgage servicing has garnered increased attention since the foreclosure crisis. As the interface between borrowers and investors, servicers make the decision to either grant a loan modification or to foreclose. This study examines servicer loan modification practices for a national sample of delinquent subprime loans, and assesses the extent to which those practices are associated with foreclosures. The research reveals significant differences across servicers in loan cure rates, which are related to servicers’ propensity to offer loan modifications and to the level of relief offered to borrowers. The observed differences across servicers and the implications of this heterogeneity for foreclosure prevention underscore the importance of additional data, research, and policies that can increase the uniformity and transparency of servicing practices.     

Comment on Elvin K. Wyly and Daniel J. Hammel's “Islands of Decay in Seas of Renewal: Housing Policy and the Resurgence of Gentrication”

Abstract

Wyly and Hammel raise a number of important issues regarding the role of low‐income housing assistance in the more recent resurgence of inner‐city capital investment. However, their methodologies are found to be limited, and their results only weakly support a number of the strong conclusions they draw. Despite these limitations, Wyly and Hammel do present some interesting findings, such as greater loan denial rates for higher‐income applicants in the inner cities than in the suburbs, and raise the possibility of a changing income mix of urban gentrifiers. Building on the article's main theme, the comment suggests strategies to improve low‐income housing policy outcomes and highlights the gentrification conundrum.     

Trends in firearm background check applications and denials

There is little previous research on firearm background check applications and denials despite the potential for such research to significantly benefit policy and practice. The U.S. firearm background check system is complex with federal, state, and local laws creating a patchwork system intended to increase public safety and reduce mortality. State characteristics may play an important role in changes in application and denial rates. We examined the relationship between application and denial rates and state characteristics such as poverty, race, gender, existing firearm ownership, and population density. Multi‐level longitudinal modeling was used in an ecological study design with the state as the unit of analysis spanning a time period between 2005 and 2010, inclusive. Results indicated that application and denial rates significantly increased over time. Population density and poverty level were negatively related to application and denial rates. Firearm ownership, male population size, and percent of residents that were white were positively related to application and denial rates. Percent of African–American residents was negatively related to application rate. The importance of understanding the factors that predict firearm prevalence and the need for additional research on the denial of firearms is discussed. Copyright © 2016 John Wiley & Sons, Ltd.     

Defending the white race: White male faculty opposition to a “white racism” course

The structures and processes of curriculum censorship are a microcosm of the racial organization and dynamics of America and other modern societies. They offer valuable insights into how the issue of systemic white racism is kept off organizational agendas. Whether successful or unsuccessful, censorship efforts typically become visible only in those rare instances when they are challenged publicly. In this paper arguments made against and for an intensely opposed “White Racism” course are examined to delineate the relationship between power, voice, and social change. This curriculum conflict is the analytical vehicle through which we explore the role of race-defensive denial in the persistence of systemic white racism. This case study also reveals effective ways of overcoming such denial and placing white racism at the center of social discourse.