The authors investigate an international monetary business-cycle model in which agents face monetary policy processes that incorporate regime shifts. In any given period agents cannot directly observe the policy regime, but instead form beliefs that are updated via Bayesian learning. As a...

This paper investigates an international monetary business-cycle model in which agents face monetary policy processes that incorporate regime shifts. In any period, agents cannot directly observe the policy regime, but, instead, form beliefs that are updated through Bayesian learning. Monetary...

We use a structural dynamic stochastic general equilibrium model to investigate how initial data releases of key macroeconomic aggregates are related to final revised versions and how identified aggregate shocks influence data revisions. The analysis sheds light on how well preliminary data...

This study documents a general decline in the volatility of employment growth during the period 1956 to 2005 and examines its possible sources. Estimates from a state-level pooled cross-section/time-series model indicate that aggregate and state-level factors each account for an important share...

Cyclical dynamics at the regional level are investigated using newly developed times-series techniques that allow a decomposition of aggregate data into common trends and common cycles. The authors apply the common-trend/common-cycle representation to per capita personal income for the eight BEA...

Horvath and Verbrugge (1996) argue that when investigating the sources of aggregate fluctuations, it is important to use the highest frequency data available. Using monthly data for the U.S. economy they show that industry-specific shocks are more important in explaining fluctuations in...

This paper examines the cyclical dynamics of per capita personal income for the major U.S. regions during the 1953:3-95:2 period. The analysis reveals considerable differences in the volatility of regional cycles. Controlling for differences in volatility, the authors find a great deal of...