This paper uses account-level information, reported to the IRS by foreign financial institutions under the Foreign Account Tax Compliance Act (FATCA), to produce new evidence on the foreign financial wealth of U.S. households. We find that U.S. taxpayers hold around $4 trillion in foreign...

The U.S. Supreme Court decision in the landmark 2018 Wayfair case greatly improved state governments' ability to enforce collection of sales taxes on a destination basis. This has reduced state tax competition with an essentially-untaxed internet, but has brought traditional cross-border...

We describe the landscape of taxation in the crypto markets, especially that concerning U.S. taxpayers, and examine how recent increases in tax scrutiny have led to changes in trading behavior by crypto traders. We predict under a simple theoretical framework and then empirically document that...

The 2017 Tax Cut and Jobs Act reduced the US corporate tax rate and introduced provisions to curb profit shifting. We combine survey data, tax data, and firm financial statements to study the evolution of the geographical allocation of US firms' profits after the reform. The share of profits...

Rising self-employment rates in U.S. tax data that are absent in survey data have led to speculation that tax records capture a rise in new "gig" work that surveys miss. Drawing on the universe of IRS tax returns, we show that trends in firm-reported payments to "gig" and other contract workers...

The US trade war against China in 2018-2019 can either enhance or diminish the US soft power in China, depending on whether it is recognized as legitimate by Chinese citizens. We study how the viewership of US movies--an important element of the US soft power--is affected by the trade war,...

In this paper we use New Immigrant Survey data to investigate the impact of immigrant women's own labor supply prior to migrating and female labor supply in their source country to provide evidence on the role of human capital and culture in affecting their labor supply and wages in the United...

This chapter examines the impact of COVID-19 shutdowns on domestic violence (DV) in the United States. Despite widespread concerns that pandemic shutdowns could increase DV, initial studies found mixed evidence that varied across data sources and locations. We review the evolving literature on...

We develop new quasi-experimental tools to understand algorithmic discrimination and build non-discriminatory algorithms when the outcome of interest is only selectively observed. These tools are applied in the context of pretrial bail decisions, where conventional algorithmic predictions are...

We study fraud in the unemployment insurance (UI) system using a dataset of 35 million debit card transactions. We apply machine learning techniques to cluster cards corresponding to varying levels of suspicious or potentially fraudulent activity. We then conduct a difference-in-differences...