We use a matched credit bureau and mortgage data set to identify occupancy fraud in residential mortgage originations, that is, borrowers who misrepresented their occupancy status as owner occupants rather than residential real estate investors. In contrast to previous studies, our data set...

Prior studies debating the effects of changes to the minimum wage concentrate on impacts on household income and spending or employment. We extend this debate by examining the impact of changes to the minimum wage on expenses associated with shelter, a previously unexplored area. Increases in...

We use a matched credit bureau and mortgage dataset to identify occupancy fraud in residential mortgage originations, that is, borrowers who misrepresented their occupancy status as owner-occupants rather than residential real estate investors. In contrast to previous studies, our dataset allows...

We identify occupancy fraud — borrowers who misrepresent their occupancy status as owner-occupants rather than investors — in residential mortgage originations. Unlike previous work, we show that fraud was prevalent in originations not just during the housing bubble, but also persists...

We develop a statistical learning model to estimate the value of vacant land for any parcel, regardless of improvements. Rooted in economic theory, the model optimizes how to combine common improved property sales with rare, but more informative, vacant land sales. It estimates how land values...

In this paper, we examine the impact of changes in the federal tax treatment of local property taxes stemming from the implementation of the Tax Cuts and Jobs Act (TCJA) in January 2018 on local housing markets. Using county-level house price information and IRS tax data, we find that capping...