We use the 2018-2019 U.S. trade war to examine how supply chains adjustments to a tariff cost shock affect imports and exports. Using confidential firm-trade linked data, we show that the decline in imports of tariffed goods was driven by discontinuations of U.S. buyer-foreign supplier...

I separately identify and estimate the effects of the Federal Reserve's federal funds rate, forward guidance, and large-scale asset purchase (LSAP) policies on the U.S. economy. I extend the high-frequency identification strategy of Bauer and Swanson (2023b) for monetary policy VARs by allowing...

We link census records for millions of farm children to identify owner-operators of the family farm in adulthood, providing the first population-level evidence on intergenerational farm transfers. Using our panel of U.S. census data from 1900 to 1940, our analysis supports the primogeniture...

Do investors anticipate that demands for racial equity will impact companies? We explore this question in the context of the Black Lives Matter (BLM) movement--the largest racially motivated protest movement in U.S. history--and its effect on the U.S. policing industry using a novel dataset on...

We use restricted-access, geocoded data on the near-universe of workers in 23 U.S. states in order to quantify the impact of wind energy development on local earnings and employment, by race, ethnicity, sex, and educational attainment. We find the largest relative impacts for workers without a...

Intimate partner violence (IPV) is the most common form of violence experienced by women, and imposes adverse health consequences for victims and their children. The annual economic burden of IPV amounts to over $4.1 trillion, a substantial share of which is borne by the public sector. Despite...

We present evidence from a randomized trial of the impact of matching workers to jobs using the deferred acceptance (DA) algorithm. Our setting is the U.S. Army's annual many-to-one marketplace that matches 10,000 officers to units. Officers and jobs are partitioned into over 100 distinct...

We provide a spatial theory of clean growth to assess the global impact of the rise of renewable energy. We model the details of the combined production and transmission network of electricity ("the grid") that determine the supply and losses of energy in space. The local rate of clean energy...

We document political sentiment effects on US inventors. Democratic inventors are more likely to patent (relative to Republicans) after the 2008 election of Obama but less likely after the 2016 election of Trump. These effects are 2-3 times as strong among politically active partisans and are...

We evaluate distributional and efficiency consequences of the bulk power clean electricity tax credits authorized by the 2022 Inflation Reduction Act. To do so, we link detailed electricity capacity expansion, computable general equilibrium, data-rich microsimulation, and air pollution models to...