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Working Paper
How Much Does Racial Bias Affect Mortgage Lending? Evidence from Human and Algorithmic Credit Decisions
We assess racial discrimination in mortgage approvals using new data on mortgage applications. Minority applicants tend to have significantly lower credit scores, higher leverage, and are less likely than white applicants to receive algorithmic approval from race-blind government automated underwriting systems (AUS). Observable applicant- risk factors explain most of the racial disparities in lender denials. Further, we exploit the AUS data to show there are risk factors we do not directly observe, and our analysis indicates that these factors explain at least some of the residual 1-2 ...
Working Paper
Distance and Decline: The Case of Petersburg, Virginia
Petersburg, Virginia, prospered over two centuries as a center of production and trade. However, the city experienced economic difficulties beginning in the 1980s as a large number of layoffs at production plants in the area coincided with an erosion of retail trade in the city. Prolonged economic decline followed. In contrast, somewhat similar shocks in other moderate-sized cities in Virginia were followed by gradual economic recovery. We examine these differing outcomes and offer an explanation that hinges on the proximity of Petersburg to its larger neighbor, the greater Richmond area. We ...
Working Paper
Local Polynomial Regressions versus OLS for Generating Location Value Estimates: Which is More Efficient in Out-of-Sample Forecasts?
As an alternative to ordinary least squares (OLS), we estimate location values for single family houses using a standard housing price and characteristics dataset by local polynomial regressions (LPR), a semi-parametric procedure. We also compare the LPR and OLS models in the Denver metropolitan area in the years 2003, 2006 and 2010 with out-of-sample forecasting. We determine that the LPR model is more efficient than OLS at predicting location values in counties with greater densities of sales. Also, LPR outperforms OLS in 2010 for all 5 counties in our dataset. Our findings suggest that LPR ...
Working Paper
Blockbusting and the Challenges Faced by Black Families in Building Wealth Through Housing in the Postwar United States
We study the impacts of blockbusting, i.e. large-scale racial turnover of urban neighborhoods orchestrated by real estate professionals using aggressive and discriminatory practices. In a panel of census tracts across large cities in the postwar United States, we compare tracts subjected to blockbusting activity to similar neighboring tracts not subjected to blockbusting. We find that blockbusting caused substantially lower house values over the next few decades. To understand the mechanisms behind this effect, we analyze property-level data in one neighborhood of Baltimore, Maryland. We find ...
Report
Pay with Promises or Pay as You Go? Lessons from the Death Spiral of Detroit
As part of compensation, municipal employees typically receive promises of future benefits. Motivated by the recent bankruptcy of Detroit, we develop a model of the equilibrium size of a city and use it to analyze how pay-with-promises schemes interact with city growth. The paper examines the circumstances under which a death spiral arises, where cutbacks of city services and increases in taxes lead to an exodus of residents, compounding financial distress. The model is put to work to analyze issues such as the welfare effects of having cities absorb pension risk and how unions affect the ...
Working Paper
Semi-Parametric Interpolations of Residential Location Values: Using Housing Price Data to Generate Balanced Panels
We estimate location values for single family houses by local polynomial regressions (LPR), a semi-parametric procedure, using a standard housing price and characteristics dataset. As a logical extension of the LPR method, we interpolate land values for every property in every year and validate the accuracy of the interpolated estimates with an out-of-sample forecasting approach using Denver sales during 2003 through 2010. We also compare the LPR and OLS models out-of-sample and determine that the LPR model is more efficient at predicting location values. In a balanced panel application, we ...
Working Paper
Financial Innovations and Issuer Sophistication in Municipal Securities Markets
When local governments default or file for bankruptcy, it is often because public officials misunderstood the risks associated with innovative financial products. If unsophisticated municipal bond issuers were to widely adopt a high risk financial product, this could harm taxpayers and investors, as well as destabilize the financial system. This analysis uses municipal bond issuers? total debt outstanding as a proxy for their sophistication and investigates the relationship between sophistication and adoption of financial innovations. Using comprehensive data on securities issued between 1992 ...
Working Paper
Household Debt and Local Public Finances
In the wake of the Great Recession, steep declines in state and local government expenditures and employment were a large and persistent source of economic weakness. The business cycle was also characterized by large increases and decreases in household debt. We estimate the extent to which variation in local government revenues and expenditures can be explained by variation in the expansion of household debt from 2002 to 2007, and the contraction thereafter. We merge individual credit balance data with municipal financial data from the Census of Governments. Using Census block indicators, we ...
Working Paper
How Much Does Racial Bias Affect Mortgage Lending? Evidence from Human and Algorithmic Credit Decisions
We assess racial discrimination in mortgage approvals using confidential data on mortgage applications. Minority applicants tend to have significantly lower credit scores, higher leverage, and are less likely than White applicants to receive algorithmic approval from raceblind government-automated underwriting systems (AUS). Observable applicant-risk factors explain most of the racial disparities in lender denials. Further, we exploit the AUS data to show there are risk factors we do not directly observe, and our analysis indicates that these factors explain at least some of the residual 1-2 ...
Report
Still not out of the woods? New Jersey schools during the recession and beyond
Schools are essential in forming human capital and in improving the long-term health of the economy. They are also heavily reliant on state and local funds, which were severely depleted during the Great Recession. To alleviate some of the strain on local budgets, the federal government passed and implemented a large stimulus package, which included funds for school districts. However, the stimulus funds were drawn down beginning in 2011, at a time when state and local revenues were still under pressure. In this paper, we use a detailed panel data set of all school districts in New Jersey for ...