The author describes results obtained by using a new methodology to estimate potential output for the United Kingdom. The estimation method, which follows Rennison (2003) and Gosselin and Lalonde (2002), shows that combining the use of a Hodrick-Prescott filter and a structural vector...

This paper studies the effects of a monetary policy expansion in the United States during times of high financial stress. The analysis is carried out by introducing a smooth transition factor model where the transition between states (“normal” and high financial stress) depends on a...

The international business cycle is very important for Latin America’s economic performance as the recent global crisis vividly illustrated. This paper investigates how changes in trade linkages between China, Latin America, and the rest of the world have altered the transmission mechanism of...

This paper proposes a Markov-switching framework to endogenously identify the following: (1) regimes where economies synchronously enter recessionary and expansionary phases; and (2) regimes where economies are unsynchronized, essentially following independent business cycles. The reliability of...

This paper provides a framework for the early assessment of current U.S. nominal GDP growth, which has been considered a potential new monetary policy target. The nowcasts are computed using the exact amount of information that policy-makers have available at the time predictions are made....

The author presents empirical evidence that he has obtained from an analysis of the response of different economic variables, including the real wage rate, to a technology shock. He replicates Galí’s (1999) bivariate model and compares dynamic impulse responses and conditional correlations...

Traditional structural models cannot distinguish whether changes in activity are a function of altered expectations today or lagged responses to past plans. Polynomial-adjustment-cost (PAC) models remove this ambiguity by explicitly separating observed dynamic behaviour into movements that have...

The authors examine evidence of long- and short-run co-movement in Canadian sectoral output data. Their framework builds on a vector-error-correction representation that allows them to test for and compute full-information maximum-likelihood estimates of models with codependent cycle...

This paper examines the role of bank credit in modeling and forecasting business cycle fluctuations, and investigates the international transmission of US credit shocks, using a global vector autoregressive (GVAR) framework and associated country-specific error correction models. The paper...