Business cycles and economic growth have long been studied separately, hindering understanding of the nature and causes of economic fluctuations and growth. Here, we present an economic model that incorporates both deterministic trends and persistent fluctuations, derived from a general economic...

We propose a method to estimate time invariant cyclical dynamic stochastic general equilibrium models using the information provided by a variety of filters. We treat data filtered with alternative procedures as contaminated proxies of the relevant model-based quantities and estimate structural...

It is widely-known that different methods of detrending data yield different business cycle features. The choice of the detrending method, however, is usually arbitrarily made. This paper aims at revealing potential pitfalls of different detrending methods for the estimation of a standard...

This chapter develops a toolkit of neoclassical macroeconomic models, and applies these models to the US economy from 1929 to 2014. We first filter macroeconomic time series into business cycle and long-run components, and show that the long-run component is typically much larger than the...

A Bayesian method to detect structural changes in multivariate dynamic linear model is introduced and it is applied to predicting and dating the turns in business cycle. As many researchers use for business cycle analysis, the composite leading index (CLI) and the composite coincident index...

We outline a dynamic stochastic general equilibrium (DSGE) model with trend extrapo-lation in asset pricing that we fit to quarterly U.S. macroeconomic time series with Baye-sian techniques. To be more precise, we modify the DSGE model in Smets and Wouters (2007) by incorporating asset traders...