This paper proposes a new way of displaying and analyzing macroeconomic time series to form recession forecasts. The proposed data displays contain the last three years of each expansion. These allow observers to see for themselves what is different about the last year before recession. Based on...

This paper studies how financial information frictions can generate sentiment-driven fluctuations in asset prices and self-fulfilling business cycles. In our model economy, exuberant financial market sentiments of high output and high demand for capital increase the price of capital, which...

We propose a novel theory of self-fulfilling unemployment fluctuations. According to this theory, a firm hiring an additional worker creates positive external effects on other firms, as a worker has more income to spend and less time to search for low prices when he is employed than when he is...

We formalize the Keynesian insight that aggregate demand driven by sentiments can generate output fluctuations under rational expectations. When production decisions must be made under imperfect information about demand, optimal decisions based on sentiments can generate stochastic...

The simplest macroeconomic models in which markets clear instantaneously, and expectations are rational preclude the existence of "business cycles," that is, of serially correlated deviations of output from trend. This paper studies one of several mechanisms that can be used to make these...

This paper reviews recent developments in macro and finance on the relationship between financial risk and the real economy. We focus on three specific topics: the term structure of uncertainty, time variation - and specifically the long-term decline - in the variance risk premium, and time...

Capitalism since its inception has been marked by large fluctuations. The resulting episodic unemployment has been very costly. This paper provides an overview of alternative theories. Standard models (such as DSGE) have not provided insights into the causes of the fluctuations and the shocks...

This paper develops a theory of expectations-driven business cycles based on learning. Agents have incomplete knowledge about how market prices are determined and shifts in expectations of future prices affect dynamics. In a real business cycle model, the theoretical framework amplifies and...

A fruitful emerging literature reveals that shocks to uncertainty can explain asset returns, business cycles and financial crises. The literature equates uncertainty shocks with changes in the variance of an innovation whose distribution is common knowledge. But how do such shocks arise? This...

We investigate, by Monte Carlo methods, the finite sample properties of GMM procedures for conducting inference about statistics that are of interest in the business cycle literature. These statistics include the second moments of data filtered using the first difference and Hodrick-Prescott...