We document trends in affective polarization during the coronavirus pandemic. In our main measure, affective polarization is relatively flat between July 2019 and February 2020, then falls significantly around the onset of the pandemic. Two other data sources show no evidence of an increase in...

We provide new evidence on the drivers of the early US coronavirus pandemic. We combine an epidemiological model of disease transmission with quasi-random variation arising from the timing of stay-at-home-orders to estimate the causal roles of policy interventions and voluntary social...

We study partisan differences in Americans' response to the COVID-19 pandemic. Political leaders and media outlets on the right and left have sent divergent messages about the severity of the crisis, which could impact the extent to which Republicans and Democrats engage in social distancing and...

Buyout booms form in response to declines in the aggregate risk premium. We document that the equity risk premium is the primary determinant of buyout activity rather than credit-specific conditions. We articulate a simple explanation for this phenomenon: a low risk premium increases the present...

Technology-based ("FinTech") lenders increased their market share of U.S. mortgage lending from 2% to 8% from 2010 to 2016. Using market-wide, loan-level data on U.S. mortgage applications and originations, we show that FinTech lenders process mortgage applications about 20% faster than other...

We use supervisory loan-level data to document that small firms (SMEs) obtain shorter maturity credit lines than large firms; have less active maturity management; post more collateral; have higher utilization rates; and pay higher spreads. We rationalize these facts as the equilibrium outcome...