We consider several economic uncertainty indicators for the US and UK before and during the COVID-19 pandemic: implied stock market volatility, newspaper-based economic policy uncertainty, twitter chatter about economic uncertainty, subjective uncertainty about future business growth, and...

We estimate the natural rate of unemployment, often referred to as u*, in the United States using data on labor market flows, short-term and long-term inflation expectations and a forward-looking New-Keynesian Phillips curve for the 1960-2021 period. The natural rate of unemployment was at...

Economic shocks are notoriously difficult to predict but recent research suggests qualitative metrics about economic actors' expectations are predictive of downturns. We show consumer expectations indices from both the Conference Board and the University of Michigan predict economic downturns up...

Using surveys of firms around the world, we review existing evidence on how firms form their macroeconomic expectations. Several facts stand out. First, the mean inflation forecasts of firms often deviate significantly from those of professional forecasters and households. Second, disagreement...

The covariance of asset returns with economic states of the world is a fundamental input to asset pricing models. Using a semi-annual survey of forecasts by a panel of U.S. economists over more than 70 years, we infer forecaster beliefs about covariance between the S&P index and macro-economic...

We examine several measures of uncertainty to make five points. First, equity market traders and executives at nonfinancial firms have shared similar assessments about one-year-ahead uncertainty since the pandemic struck. Both the one-year VIX and our survey-based measure of firm-level...

This paper tests the retrieved context model of Wachter and Kahana (2019) using a long-term panel of economic forecasts by participants in the Livingston Survey. Events in historical time contribute additional explanatory power to a relative time series model. Historical precedents for current...

We propose a model where forecasters have access to noisy signals about the future (forward information). In this setting, information varies not only across agents but also across horizons. As a result, estimated persistence of forecasts deviates from persistence of fundamentals and the ability...

We resuscitated the mixed-frequency vector autoregression (MF-VAR) developed in Schorfheide and Song (2015, JBES) to generate macroeconomic forecasts for the U.S. during the COVID-19 pandemic in real time. The model combines eleven time series observed at two frequencies: quarterly and monthly....

This paper focuses on the problem of formulating an analysis of economic policy that is consistent with rational expectations. Cooley, LeRoy,and Raymon show that the Lucas and Sargent strategy for econometric policy evaluation is itself vulnerable to the logic of the Lucas critique. The present...