Thomas Trimbur
Biographic Data
| ID | 8920933 |
|---|---|
| NAME | Thomas Trimbur |
| GIVEN NAMES | Thomas |
| FAMILY NAME | Trimbur |
| SIGNATURE | TRIMBUR T |
| AFFILIATIONS | University of Cambridge |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2007 |
| H-INDEX | 0 |
A Note on Common Cycles, Common Trends, and Convergence
This article compares and contrasts structural time series models and the common features methodology. The way in which trends are handled is highlighted by describing a recent structural time series model that allows convergence to a common growth path. Postsample data are used to test its forecasting performance for income per head in U.S. regions. A test for common cycles is proposed, its asymptotic distribution is given, and small-sample prop…
General Model-Based Filters for Extracting Cycles and Trends in Economic Time Series
A class of model-based filters for extracting trends and cycles in economic time series is presented. These lowpass and bandpass filters are derived in a mutually consistent manner as the joint solution to a signal extraction problem in an unobserved-components model. The resulting trends and cycles are computed in finite samples using the Kalman filter and associated smoother. The filters form a class which is a generalization of the class of Bu…
No prominent works on this page.
General Model-Based Filters for Extracting Cycles and Trends in Economic Time Series
A class of model-based filters for extracting trends and cycles in economic time series is presented. These lowpass and bandpass filters are derived in a mutually consistent manner as the joint solution to a signal extraction problem in an unobserved-components model. The resulting trends and cycles are computed in finite samples using the Kalman filter and associated smoother. The filters form a class which is a generalization of the class of Bu…
A Note on Common Cycles, Common Trends, and Convergence
This article compares and contrasts structural time series models and the common features methodology. The way in which trends are handled is highlighted by describing a recent structural time series model that allows convergence to a common growth path. Postsample data are used to test its forecasting performance for income per head in U.S. regions. A test for common cycles is proposed, its asymptotic distribution is given, and small-sample prop…
Computer Science (2 works) · Econometrics (2 works) · Mathematics (2 works) · Monetary Policy and Economic Impact (2 works) · Statistics (2 works) · Advanced Control Systems Optimization (1 work) · Applied Mathematics (1 work) · Applied Mathematics (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)