New, “big” data sources allow measurement of city characteristics and outcome variables higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for the study of cities when...

To explore the impact of COVID on small businesses, we conducted a survey of more than 5,800 small businesses between March 28 and April 4, 2020. Several themes emerged. First, mass layoffs and closures had already occurred – just a few weeks into the crisis. Second, the risk of closure was...

Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of local economic activity at the local level. However, these statistics typically appear only after multi-year lags,...

The Paycheck Protection Program (PPP) aimed to quickly deliver hundreds of billions of dollars of loans to small businesses, with the loans administered via private banks. In this paper, we use firm level data to document the demand and supply of PPP funds. Using an instrumental variables...

How does gentrification transform neighborhoods? Gentrification can harm current residents by increasing rental costs and by eliminating old amenities, including distinctive local stores. Rising rents represent redistribution from tenants to landlords and can therefore be offset with targeted...

Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing Finance Agency, and...