We analyze the recent behavior of oil and equity prices in the context of our earlier work, Datta, et al. (2021), which focuses on the previous zero lower bound (ZLB) episode, in the aftermath of the Global Financial Crisis. We find that the correlation between oil and equity returns and the...

We use an overlapping generation model to explore the implications of mortality during pandemics for the economy's productive capacity. Under current epidemiological projections for the progression of COVID-19, our model suggests that mortality will have, in itself, at most small effects on...

The COVID-19 pandemic has led to enormous movements in economic data that strongly affect parameters and forecasts obtained from standard VARs. One way to address these issues is to model extreme observations as random shifts in the stochastic volatility (SV) of VAR residuals. Specifically, we...

The COVID-19 pandemic has led to enormous data movements that strongly affect parameters and forecasts from standard VARs. To address these issues, we propose VAR models with outlier-augmented stochastic volatility (SV) that combine transitory and persistent changes in volatility. The resulting...

The COVID-19 pandemic has led to enormous data movements that strongly affect parameters and forecasts from standard VARs. To address these issues, we propose VAR models with outlier-augmented stochastic volatility (SV) that combine transitory and persistent changes in volatility. The resulting...

We measure the effects of the COVID-19 outbreak on uncertainty, and we assess the consequences of the uncertainty for key economic variables. We use a large, heteroskedastic vector autoregression (VAR) in which the error volatilities share two common factors, interpreted as macro and financial...