We find that, when estimated, a two sector computable dynamic stochastic general equilibrium open economy model of the U.S. that formally admits energy into the production process can generate plausible parameter values that can be applied to deal with a broad range of economic issues. As a...

We use a factor model with stochastic volatility to decompose the time-varying variance of Macro economic and Financial variables into contributions from country-specific uncertainty and uncertainty common to all countries. We find that the common component plays an important role in driving the...

We estimate a DSGE model where rare large shocks can occur, but replace the commonly used Gaussian assumption with a Student's t-distribution. Results from the Smets and Wouters (2007) model estimated on the usual set of macroeconomic time series over the 1964-2011 period indicate that 1) the...

Recent events suggest that uncertainty changes play a major role in U.S. labor market fluctuations. This study analyzes the impact of uncertainty shocks on unemployment dynamics. Using a vector autoregression approach, we show that uncertainty shocks measured by stock market volatility have a...

This paper presents a structural model to account for a country's business cycle fluctuations. Our model is a two-sector open economy dynamic stochastic general equilibrium model in which production structure is classified by the intensity levels of primary energy (oil) use by firms in each...

We provide a structural investigation and interpretation of the questions: What is the origin of business cycle fluctuations? What is the main source of recessions, in particular, since the early 1970s? Are there energy business cycles? Indirect Inference estimation of a two-sector dynamic...