This note provides explanations for an unexpected result, namely, the estimated parameter of the correlation coefficient of the trend shock and cycle shock in the state–space model is almost always (positive or negative) unity, even when the true variance of the trend shock is zero. It is...

In this paper, we test whether labor-hoarding environments with basic and augmented laws of motion provide an adequate explanation for observed business cycle dynamics. The basic law of motion assumes that the information set used by economic agents to forecast future forcing variables includes...

We perform an empirical evaluation of the role of capacity utilization in business cycle fluctuations. We first document the relation between capacity utilization and business cycle fluctuations in historical data and then verify whether these empirical features can be explained by a dynamic...

This zip archive contains implementations of the trend-cycle-season filter in Eviews, Excel, and MatLab. The trend-cycle-season filter is another univariate method to decompose a time series into a trend, a cyclical and a seasonal component: the Trend-Cycle filter (TC filter) and its extension,...

This paper proposes a new univariate method to decompose a time series into a trend, a cyclical and a seasonal component: the Trend-Cycle filter (TC filter) and its extension, the Trend-Cycle-Season filter (TCS filter). They can be regarded as extensions of the Hodrick-Prescott filter (HP...