Recent research has documented the prevalence and consequences of evictions in the United States, but our understanding of the drivers of eviction and the scope for policy to reduce evictions remains limited. We use novel lease-level ledger data from high-eviction rental markets to characterize...

Residential properties with the lowest rent levels provide the highest investment returns to their owners. Using detailed rent, cost, and price data from the United States, Belgium, and The Netherlands, we show that this phenomenon holds across housing markets and time. If anything, low-rent...

We characterize the distribution of suburban homeowners' preferences for housing unit density. To measure welfare changes under counterfactual increases in density, we first construct a novel house-level measure of exposure to density and identify its price effects in a boundary discontinuity...

This paper uses transaction-level data across millions of accounts to identify cryptocurrency investors and evaluate how fluctuations in individual crypto wealth affect household consumption, equity investment, and local real estate markets. We estimate an MPC out of unrealized crypto gains that...

A key reason for the existence of cities are the externalities created when people cluster together in close proximity. During Covid, such interactions came with health risks and people found other ways to interact. We document how cities changed during Covid and consider how the persistence of...

The decline in housing affordability over recent decades has promoted an enhanced interest in housing supply. This chapter presents descriptive evidence about the evolution of us housing prices, quantities, and regulations since 1980, indicating that supply constraints appear to be increasingly...

Empirical research in economics often examines the behavior of agents located in a geographic space. In such cases, statistical inference is complicated by the interdependence of economic outcomes across locations. A common approach to account for this dependence is to cluster standard errors...

We study two-way-fixed-effects regressions (TWFE) with several treatment variables. Under a parallel trends assumption, we show that the coefficient on each treatment identifies a weighted sum of that treatment's effect, with possibly negative weights, plus a weighted sum of the effects of the...

We study a difference-in-differences (DiD) framework where groups experience unequal treatment statuses in the pre-policy change period. This approach is commonly employed in empirical studies but it contradicts the canonical model's assumptions. We show that in such settings, the standard DiD...

Standard methods for estimating production functions in the Olley and Pakes (1996) tradition require assumptions on input choices. We introduce a new method that exploits (increasingly available) data on a firm's expectations of its future output and inputs that allows us to obtain consistent...