Recent theories of economic growth, including Romer (1986), Porter (1989) and Jacobs (1969), have stressed the role of technological spillovers in generating growth. Because such knowledge spillovers are particularly effective in cities, where communication between people is more extensive, data...

American cities have experienced a remarkable renaissance over the past 40 years, but in recent years, cities have experienced considerable discontent. Anger about high housing prices and gentrification has led to protests. The urban wage premium appears to have disappeared for less skilled...

American technological creativity is geographically concentrated in areas that are generally distant from the country's most persistent pockets of joblessness. Could a more even spatial distribution of innovation reduce American joblessness? Could Federal policies disperse innovation without...

Commerce requires trust, but trust is difficult when one group consistently fears expropriation by another. If men have a comparative advantage at violence and there is little rule-of-law, then unequal bargaining power can lead women to segregate into low-return industries and avoid...

Will the Opportunity Zone program, America's largest new place-based policy in decades, generate neighborhood change? We compare single-family housing price growth in Opportunity Zones with price growth in areas that were eligible but not included in the program. We also compare Opportunity...

This paper provides evidences of heterogeneous human-capital externality using CHIP 2002, 2007 and 2013 data from urban China. After instrumenting city-level education using the number of relocated university departments across cities in the 1950s, one year more city-level education increases...

We demonstrate that data from digital platforms such as Yelp have the potential to improve our understanding of gentrification, both by providing data in close to real time (i.e. nowcasting and forecasting) and by providing additional context about how the local economy is changing. Combining...

How much does the appearance of a house, or its neighbors, impact its price? Do events that impact the incentives facing homeowners, like foreclosure, impact the maintenance and appearance of a home? Using computer vision techniques, we find that a one standard deviation improvement in the...

How do the different elements in the standard bundle of property rights - such as the right of possession or the right of transfer - differentially impact outcomes, such as urban development? This paper incorporates insecure property rights into a standard model of urban land prices and density,...

During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay-at-home orders can signal that going out has become safer. Using restaurant activity data, we find that...