The COVID-19 pandemic saw an unprecedented expansion of federal emergency rental assistance (ERA). Using applications to ERA lotteries in four cities linked to survey and administrative data, we assess its impacts on housing stability, financial security, and mental health. We find that...

This paper examines the impact of residential foreclosures and vacancies on violent and property crime. To overcome confounding factors, a difference-in-difference research design is applied to a unique data set containing geocoded foreclosure and crime data from Pittsburgh, Pennsylvania....

Commercial real estate capital structure looks to be quite weak due to high leverage combined with strong mean reversion in prices. The aggregate loan-to-value ratio on income-producing properties is about 75%. Estimated mean reversion in price appreciation of at least 25% over relatively short...

A busy airport's closure has large effects on noise, real estate markets, and neighborhood demographics. Using a unique dataset, we examine the effects of closing Denver's Stapleton Airport on nearby housing markets. We find evidence of immediate anticipatory price effects upon announcement, but...

We document the existence of a racial gap in realized housing returns that is an order of magnitude larger than disparities arising from housing costs alone, and is driven almost entirely by differences in distressed home sales (i.e. foreclosures and short sales). Black and Hispanic homeowners...

With "2020 hindsight," the 2000s housing cycle is not a boom-bust but rather a boom- bust-rebound at both the national level and across cities. We argue this pattern reflects a larger role for fundamentally-rooted explanations than previously thought. We construct a city-level long-run...

By constraining an individual's choice during a search, housing discrimination distorts sorting decisions away from true preferences and results in a ceteris paribus reduction in welfare. This study combines a large-scale field experiment with a residential sorting model to derive...

Using bi-weekly snapshots of Zillow in three US cities, we document how home sellers and buyers interact with Zillow's Zestimate algorithm during the sales cycle of residential properties. We find that listing and selling outcomes respond significantly to Zestimate, and Zestimate is quickly...