Stochastic trends, deterministic trends, and business cycle turning points
✍ Scribed by Stephen Gordon
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 247 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0883-7252
No coin nor oath required. For personal study only.
✦ Synopsis
This study examines the relationship between speci®cations for long-run output patterns and speci®cations for business cycle dynamics. In an application to US GDP, it is found that inferences about the nature of the trend in output are not robust to changes in the speci®cation for short-run ¯uctuations. Similarly, the choice of which model best describes the transitory movements in output depends on the way in which the trend is speci®ed. The empirical analysis makes use of Bayesian methods to compare time series models for US GDP. Inspection of the predictive densities for the individual data points suggests that the information contained in the data is largely limited to the observations associated with business cycle turning points.
📜 SIMILAR VOLUMES
## Abstract We propose a new approach for detecting turning points and forecasting the level of economic activity in the business cycle. We make use of coincident indicators and of nonlinear and non‐Gaussian latent variable models. We thus combine the ability of nonlinear models to capture the asym