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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 reduced demand for housing in neighborhoods with high population density. The reduced demand for density is driven partially by the diminished need of living close to jobs that are telework-compatible and the declining value of access to consumption amenities. ...
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
Location dynamics: a key consideration for urban policy
What determines where businesses and households locate? Location decisions can affect the economic health of cities and metropolitan areas. But as Jeffrey Brinkman explains, how firms, residents, and workers go about choosing where to locate can involve complex interactions with sometimes unpredictable consequences.
Working Paper
Determinants of Differential Rent Changes: Mean Reversion versus the Usual Suspects
We study 2001-2004 and 2004-2007 rent growth of 18,000 rental units, ending our study prior to the Great Recession. Which variables correlate with rent growth: Location? Age? Rent level? Occupancy duration? Structure type? The answers deepen understanding of the rental market, help statistical agencies make decisions about sample stratification and substitution, and expose coverage problems. We document significant rent stickiness. Initial relative rent level is the best predictor, though mainly due to mean reversion. "Location" comes in second, though often not statistically significantly: ...
Working Paper
High-growth firms in Georgia
This paper reports the results of a study of the characteristics and direct employment impact of high-growth firms operating in Georgia. The longitudinal data used in this study are from the National Establishment Time-Series (NETS) database. Using a standard definition of high employment growth to classify firms, we track the direct employment contribution of high-growth firms in the state from 1989 to 2009. We find that only a small fraction of firms satisfied the high-growth employment criteria in any year, but these rapidly growing firms made a disproportionately large contribution to ...