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Working Paper
The impact of student loan debt on small business formation
Small businesses are the backbone of the U.S. economy and account for approximately one-half of the private-sector economy and 99% of all businesses. To start a small business, individuals need access to capital. Given the importance of an entrepreneur?s personal debt capacity in financing a startup business, student loan debt, which is difficult to discharge via bankruptcy, can have lasting effects and may have an impact on the ability of future small business owners to raise capital. This study examines the impact of the growth in student debt on net small business formation. We find a ...
Newsletter
Homeowners insurance and climate change
Over the past 25 years, the U.S. has experienced a sharp increase in climate-related disasters totaling billions of dollars in damages. For those whose homes are destroyed, the financial impact can be devastating. Fortunately, many have some of their losses covered by homeowners insurance. In 2017—a particularly costly year in terms of weather-related damages—insurers reported around $68 billion in losses from homeowners insurance claims. Still, with the number and intensity of climate-related disasters on the rise, it is important for us to understand the degree to which homes are ...
Working Paper
The Size of U.S. Metropolitan Areas
Metropolitan areas—unions of nearby built-up locations within which people travel on a day-to-day basis among places of residence, employment, and consumption—serve as a fundamental unit of economic analysis. But existing delineations of U.S. metro areas—including metropolitan Core-Based Statistical Areas (CBSAs), Urbanized Areas, and Commuting Zones—stray far from this conception. We develop a flexible algorithm that uses commuting flows among U.S. census tracts in 2000 to match varied interpretations of our metropolitan conception. Under a baseline parameterization that balances ...
Working Paper
Real Estate Taxes and Home Value: Winners and Losers of TCJA
In this paper, we examine the impact of changes in the federal tax treatment of local property taxes stemming from the implementation of the Tax Cuts and Jobs Act (TCJA) in January 2018 on local housing markets. Using county-level house price information and IRS tax data, we find that capping the federal tax deduction of real estate taxes at $10,000 has caused the growth rate of home value to decline by an annualized 0.8 percentage point, or 15 percent, in areas where real estate taxes as shares of taxable income exceeded the national median. Additionally, these areas with a high real estate ...
Discussion Paper
Deconstructing Mechanic’s Liens
In this paper, we examine a new data set composed of mechanic’s lien complaints filed in the First Judicial District of Pennsylvania (Philadelphia County). Over a 10-year period, 426 mechanic’s liens were filed against 398 single-family properties, which is less than 0.1 percent of single-family properties in Philadelphia. The lien properties in our data set tend to be more expensive, newer, and larger than non-lien properties. About 80 percent of mechanic’s liens are filed by general contractors, with the remainder pursued by a subcontractor. Notably, a 2014 change in Pennsylvania law ...
Working Paper
Are Central Cities Poor and Non-White?
For much of the 20th century, America's central cities were viewed as synonymous with economic and social hardship, often used as proxy for low-income communities of color. Since the 1990s, however, many metropolitan areas have seen a resurgence of interest in central city neighborhoods. Theoretical models of income sorting lead to ambiguous predictions about where households of different income levels will live within metropolitan areas. In this paper, we explore intra-city spatial patterns of income and race for U.S. metropolitan areas, focusing particularly on the locations of low-income ...
Working Paper
A Quantitative Evaluation of the Housing Provident Fund Program in China
The Housing Provident Fund (HPF) is the largest public housing program in China. It was created in 1999 to enhance homeownership. This program involves a mandatory saving scheme based on labor income. Past deposits are refunded when the worker purchases a house or retires. Moreover, the program provides mortgages at subsidized rates to facilitate these home purchases. I calibrate a heterogeneous-agent life-cycle model to quantify the effects of these policies. My analysis shows that a housing program with these features is expected to raise the rate of homeownership by 8.7 percentage points ...
Working Paper
The Impact of the COVID-19 Pandemic on the Demand for Density: Evidence from the U.S. Housing Market
Cities are shaped by the strength of agglomeration and dispersion forces. We show that the COVID-19 pandemic has re-introduced disease transmission as a dispersion force in modern cities. We use detailed housing data to study the impact of the COVID-19 pandemic on the location demand for housing. We find that the pandemic has led to a greater decline in the demand for housing in neighborhoods with high population density. We further show that the reduced demand for density is partially driven by the diminished need of living close to jobs that are telework-compatible and the declining value ...
Journal Article
The Homeownership Experience of Minorities During the Great Recession
It has been argued that during the Great Recession, wealth losses were more concentrated for college-educated Black and Hispanic families than for White and Asian college-educated families and their non-college-educated Black and Hispanic peers. This article explores the extent to which the homeownership experience for families who purchased homes between 2004 and 2008 is a potentially important factor in explaining this finding. During the housing boom, the increase in homeownership for Blacks and Hispanics was very similar, but the second group had a smaller decline. Despite these ...
Journal Article
Representative neighborhoods of the United States
Many metropolitan areas in the United States display substantial racial segregation and substantial variation in incomes and house prices across neighborhoods. To what extent can this variation be summarized by a small number of representative (or synthetic) neighborhoods? To answer this question, U.S. neighborhoods are classified according to their characteristics in the year 2000 using a clustering algorithm. The author finds that such classification can account for 37 percent of the variation with two representative neighborhoods and for up to 52 percent with three representative ...