We introduce mortgages into a dynamic equilibrium, directed search model of the housing market. Mortgage rates play their natural role in our model by affecting the share of per-period income that a homeowner spends on mortgage payment rather than consumption. We estimate the model using...

We assess the impact of home-sharing on residential house prices and rents. Using a dataset of Airbnb listings from the entire United States and an instrumental variables estimation strategy, we show that Airbnb has a positive impact on house prices and rents. This effect is stronger in zipcodes...

Using the food truck industry as the setting, we provide direct evidence for how information technology can complement consumption variety in cities by reducing spatial information frictions associated with locally produced goods. We document the following facts: 1) food trucks use technology to...

We provide new evidence that short-term rental (STR) platforms like Airbnb incentivize residential real estate investment. We exploit two complementary identification strategies. First, we use variation in the timing of STR regulations to estimate the effect of regulation on both Airbnb listings...

Using new data on real estate listings, we provide new evidence that foreclosures have a causal effect on nearby house prices and disentangle the effect into two sources: competition and disamenities. We identify the causal effect by showing that sellers respond to new REO listings in the exact...

We estimate a neighborhood choice model using 2014 American Community Survey data to investigate the degree to which new housing supply can improve housing affordability. In the model, equilibrium rental rates are determined so that the number of households choosing each neighborhood is equal to...