We construct and estimate a dynamic stochastic general equilibrium model that features demand- and supply-side uncertainty. Using term structure and macroeconomic data, we find sizable effects of uncertainty on risk premia and business cycle fluctuations. Both demand-side and supply-side...

We build a minimalist model of the macroeconomics of a pandemic, with two essential components. The first is productivity-related: if the virus forces firms to shed labor beyond a certain threshold, productivity suffers. The second component is a credit market imperfection: because lenders...

We describe some of the main features of the recent vintage macroeconomic models used for monetary policy evaluation. We point to some of the key differences with respect to the earlier generation of macro models, and highlight the insights for policy that these new frameworks have to offer. Our...

The prediction accuracy of six estimators of econometric models are compared. Two of rthe estimators are ordinary least squares (OLS) and full-information maximum likelihood. (FML). The other four estimators are robust estimators in the sense that they give less weight to large residuals. One of...

This paper evaluates claims about large macroeconomic implications of new advances in AI. It starts from a task-based model of AI's effects, working through automation and task complementarities. So long as AI's microeconomic effects are driven by cost savings/productivity improvements at the...

We provide a quantitative evaluation of the aggregate and distributional impact of microfinance or credit programs targeted toward small businesses. We find that the redistributive impact of microfinance is stronger in general equilibrium than in partial equilibrium, but the impact on aggregate...