Search Results
Monograph
Applying Research to Policy Issues in Distressed Housing Markets: Data-Driven Decision Making
A compilation of research published by the Federal Reserve Bank of Cleveland on housing markets experiencing foreclosure and/or a large number of vacant properties which sheds light on a wide range of housing markets. It provides possible policy solutions applicable to both regional and national policy discussions.
Journal Article
The impact of foreclosures on the housing market
A record number of mortgage loans are either in default or in danger of being defaulted upon. Many of the properties that back these loans will end up going through the foreclosure process. A growing body of research shows that foreclosed homes sell at a discount and that foreclosures have a negative impact on the value of other homes that are nearby. The effect on nearby property values happens for two different reasons, but my recent work suggests that one or the other predominates depending on certain characteristics of the neighborhood where the foreclosures are occurring. This finding ...
Working Paper
The Effects of the 1930s HOLC \"Redlining\" Maps
In the wake of the Great Depression, the Federal government created new institutions such as the Home Owners' Loan Corporation (HOLC) to stabilize housing markets. As part of that effort, the HOLC created residential security maps for over 200 cities to grade the riskiness of lending to neighborhoods. We trace out the effects of these maps over the course of the 20th and into the early 21st century by linking geocoded HOLC maps to both Census and modern credit bureau data. Our analysis looks at the difference in outcomes between residents living on a lower graded side versus a higher graded ...
Working Paper
The Long-Run Effects of the 1930s HOLC “Redlining” Maps on Place-Based Measures of Economic Opportunity and Socioeconomic Success
We estimate the long-run effects of the 1930s Home Owners Loan Corporation (HOLC) redlining maps on census tract-level measures of socioeconomic status and economic opportunity from the Opportunity Atlas (Chetty et al. 2018). We use two identification strategies to identify the long-run effects of differential access to credit along HOLC boundaries. The first compares cross-boundary differences along actual HOLC boundaries to a comparison group of boundaries that had similar pre-existing differences as the actual boundaries. A second approach uses a statistical model to identify boundaries ...
What Can Geolocation Data Tell Us About Childcare Use and Accessibility?
In the U.S., many parents of young children may not have enough childcare providers near them, which may limit not only their childcare access but also their employment opportunities. In this article, we explore how data on people’s visiting patterns to childcare providers might help inform our understanding of the geographic distances between where families live and where providers operate, as well as how these distances and the capacity of providers can affect childcare access. Our research is part of the Chicago Fed’s Spotlight on Childcare and the Labor Market, a targeted effort to ...
Newsletter
How Similar Are Credit Scores Across Generations?
With the rise in economic inequality in the United States in recent decades, there has been growing concern about whether there is a sufficient degree of equality of opportunity in our society. Policymakers and researchers alike often focus on studies of intergenerational mobility as a way of assessing opportunity. These studies typically analyze distinct aspects of socioeconomic status, such as income, education, occupational status, and health, and measure the association in these outcomes between parents and their adult children.1 If the association (level of similarity) is very high, then ...
Working Paper
Measuring Interest Rate Risk in the Life Insurance Sector: The U.S. and the U.K.
We use a two factor model of life insurer stock returns to measure interest rate risk at U.S. and U.K. insurers. Our estimates show that interest rate risk among U.S. life insurers increased as interest rates decreased to historically low levels in recent years. For life insurers in the U.K., in contrast, interest rate risk remained low during this time, roughly unchanged from what it was in the period prior to the financial crisis when long-term interest rates were in their usual historical ranges. We attribute these differences to the heavier use of products that combine guarantees with ...
Newsletter
Flooding and Finances: Hurricane Harvey’s Impact on Consumer Credit
This article examines consumers? borrowing behavior and debt levels in the wake of Hurricane Harvey. We find that high levels of flooding from Harvey were associated with modest increases in auto loan balances, but moderate decreases in mortgage balances. In general, the storm did not hurt consumers? credit access according to the limited measures we investigate. These results are influenced by a number of factors, including federal disaster assistance, insurance payouts, and creditors permitting temporary postponements in loan payments, with such delays not being reported to credit bureaus.
Working Paper
Blowing it up and knocking it down: the effect of demolishing high concentration public housing on crime
Despite popular accounts that link public housing demolitions to spatial redistribution of crime, and possible increases in crime, little systematic research has analyzed the neighborhood or citywide impact of demolitions on crime. In Chicago, which has conducted the largest public housing demolition program in the United States, I find that public housing demolitions are associated with a 10 percent to 20 percent reduction in murder, assault, and robbery in neighborhoods where the demolitions occurred. Furthermore, violent crime rates fell by about the same amount in neighborhoods that ...
Journal Article
Urban decline in rust-belt cities
Many Rust-Belt cities have seen almost half their populations move from inside the city borders to the surrounding suburbs and elsewhere since the 1970s. As populations shifted, neighborhoods changed?in their average income, educational profile, and housing prices. But the shift did not happen in every neighborhood at the same rate. Recent research has uncovered some of the patterns characterizing the process.>