This paper documents several facts on the real effects of economic uncertainty. First, higher uncertainty is associated with a more dispersed distribution of output growth. Second, the relation is highly asymmetric: A rise in uncertainty is associated with a sharp decline in the lower tail of...

This paper combines a data rich environment with a machine learning algorithm to provide new estimates of time-varying systematic expectational errors ("belief distortions") embedded in survey responses. We find that distortions are large even for professional forecasters, with all...

Researchers, policymakers, and market participants have become increasingly focused on the effects of uncertainty and risk on financial market and economic outcomes. This paper provides a comprehensive survey of the many existing measures of risk, uncertainty, and volatility. It summarizes what...

The COVID-19 pandemic led to unprecedented disruptions in supply, demand, and productivity, which have had cataclysmic health, social, and economic implications across the globe. In this note, we explore the large increase in global real economic uncertainty observed during the pandemic as a...

We measure the nature and severity of a variety of belief distortions in market reactions to hundreds of economic news events using a new methodology that synthesizes estimation of a structural asset pricing model with algorithmic machine learning to quantify bias. We estimate that investors...