| St. Louis Fed | Economic Research | EconDISC® | FRED® | GeoFRED® | ALFRED® | CASSIDI® | FRASER® | Liber8® | APIs | Fed System | Help |
![]() |
| Publications | Economic Data - FRED® | Working Papers | Economists | Conferences | CRE8® |
| Employment | Seminars | Monetary Aggregates | Tracking the Recession |
|
Working Paper 2004-006E Search | View by Year | View by Category | View by Author | View by JEL Code"A Steady-State Approach to Trend/Cycle Decomposition of Regime-Switching Processes"
We present a new approach to trend/cycle decomposition of time series that follow regime switching processes. The proposed approach, which we label the “regime-dependent steady state” (RDSS) decomposition, is motivated as the appropriate generalization of the Beveridge Nelson (1981) decomposition to the setting where the reduced-form dynamics of a given series can be captured by a regime-switching forecasting model. For processes in which the underlying trend component follows a random walk with possibly regime-switching drift, the RDSS decomposition is optimal in a minimum mean-squared-error sense and is more broadly applicable than directly employing an Unobserved Components model. Full Text - Acrobat PDF (164k) Notify Me of Updates for:
|
| About | Contact Us | Privacy | Legal | Top of Page | |
© 2009 Federal Reserve Bank of St. Louis