We consider the extent to which different time-series models can generate simulated data with the same business cycle features that are evident in U.S. real GDP. We focus our analysis on whether multivariate linear models can improve on the previously documented failure of univariate linear...

In this paper, we consider the ability of time-series models to generate simulated data that display the same business cycle features found in U.S. real GDP. Our analysis of a range of popular time-series models allows us to investigate the extent to which multivariate information can account...

This paper makes use of long-run restrictions to identify macroeconomic shocks and evaluate their relative importance for exchange rate fluctuations. Unlike previous studies that employ a similar approach, I consider a large eight variable vector autoregressive system that includes short term...

We examine the relative importance of the interest rate, exchange rate, and banklending channels for the transmission mechanism of monetary policy in the United States over the past 50 years. Our analysis is based on a structural vector autoregressive model that includes bank loans and uses sign...

This paper employs structural vector autoregression methods to examine the contribution of real and nominal shocks to real exchange rate movements using two hundred and seventeen years of data from Britain and the United States. Shocks are identified with long-run restrictions. The long time...