This paper illustrates the usefulness of sequential Monte Carlo (SMC) methods in approximating DSGE model posterior distributions. We show how the tempering schedule can be chosen adaptively, document the accuracy and runtime benefits o fgeneralized data tempering for “online” estimation...

This paper presents evidence that the economic stall speed concept has some empirical content, and can be moderately useful in forecasting recessions. Specifically, output tends to transition to a slow-growth phase at the end of expansions before falling into a recession, and the paper designs...

This paper develops and applies tools to assess multivariate aspects of Bayesian Dynamic Stochastic General Equilibrium (DSGE) model forecasts and their ability to predict comovements among key macroeconomic variables. We construct posterior predictive checks to evaluate conditional and...

In this paper household level data are used to explore whether unemployment risk is an important factor in the timing of consumers' durable goods purchase decisions. A theoretical model is presented in which both income uncertainty and household debt play a direct role, offering a potential...

The downturn in economic activity in the U.S. that began in December 2007 (as determined by researchers with the National Bureau of Economic Research) has been noticeably deeper and has already lasted considerably longer than the prior two recessions - those beginning in July 1990 and in March...

Using U.S. data from 1929 to 2015, we show that elevated credit-market sentiment in year t-2 is associated with a decline in economic activity in years t and t+1. Underlying this result is the existence of predictable mean reversion in credit-market conditions. When credit risk is aggressively...

Beaudry and Portier (American Economoc Review, 2006) propose an identification scheme to study the effects of news shocks about future productivity in Vector Error Correction Models (VECM). This comment shows that their methodology does not have a unique solution, when applied to their VECMs...

We use non-Gaussian features in U.S. macroeconomic data to identify aggregate supply and demand shocks while imposing minimal economic assumptions. Recessions in the 1970s and 1980s were driven primarily by supply shocks, later recessions were driven primarily by demand shocks, and the Great...

I examine the implications of learning-based asset pricing in a model in which firms face credit constraints that depend partly on their market value. Agents learn about stock prices, but have conditionally model-consistent expectations otherwise. The model jointly matches key asset price and...

We explore the structural drivers of bank and nonbank credit cycles using an estimated medium-scale macro model that allows for bank and nonbank financial intermediation. We posit economy-wide aggregate and sectoral disturbances to potentially drive bank and nonbank credit growth. We find that...