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Discussion Paper
Can Community Development Improve Health? Emerging Opportunities for Collaboration between the Health and Community Development Sectors
The two sectors of community development and health have long worked in the same neighborhoods, but they have not always worked together. This is starting to change, due in part to a growing recognition among health experts of the social, economic, and environmental factors that drive health outcomes. These social determinants of health have become the basis for new collaborations between community development and health professionals. This paper introduces professionals in both sectors to this emerging area of practice through a series of case studies of innovators in the southeastern United ...
Discussion Paper
Can Community Development Improve Health? Emerging Opportunities for Collaboration between the Health and Community Development Sectors
The two sectors of community development and health have long worked in the same neighborhoods, but they have not always worked together. This is starting to change, due in part to a growing recognition among health experts of the social, economic, and environmental factors that drive health outcomes. These social determinants of health have become the basis for new collaborations between community development and health professionals. This paper introduces professionals in both sectors to this emerging area of practice through a series of case studies of innovators in the southeastern United ...
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
Do Minorities Pay More for Mortgages?
We test for racial discrimination in the prices charged by mortgage lenders. We construct a unique dataset where we observe all three dimensions of a mortgage's price: the interest rate, discount points, and fees. While we find statistically significant gaps by race and ethnicity in interest rates, these gaps are offset by differences in discount points. We trace out point-rate schedules and show that minorities and whites face identical schedules, but sort to different locations on the schedule. Such sorting may reflect systematic differences in liquidity or preferences. Finally, we find no ...
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
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 ...
Working Paper
Effects of State Taxation on Investment: Evidence from the Oil Industry
We provide theoretical and empirical evidence that firms do not in general respond equally to changes in prices and taxes in the setting of oil well drilling in the United States. Our key theoretical contribution is that in a multi-state model, a change in output price changes both the benefit and opportunity cost of drilling, whereas a change in a state tax rate only changes the benefit of drilling in that state. Thus, a firm responds more to a change in tax than a change in price. Our econometric results support this theoretical prediction. We find that a one dollar per barrel increase in ...
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
Time-Geographically Weighted Regressions and Residential Property Value Assessment
In this study, we develop and apply a new methodology for obtaining accurate and equitable property value assessments. This methodology adds a time dimension to the Geographically Weighted Regressions (GWR) framework, which we call Time-Geographically Weighted Regressions (TGWR). That is, when generating assessed values, we consider sales that are close in time and space to the designated unit. We think this is an important improvement of GWR since this increases the number of comparable sales that can be used to generate assessed values. Furthermore, it is likely that units that sold at an ...