Weighted-covariance factor decomposition of VARMA models applied to forecasting quarterly U.S. real GDP at monthly intervals
Year of publication: |
2019
|
---|---|
Authors: | Zadrozny, Peter A. ; Chen, Baoline |
Publisher: |
Washington, DC : U.S. Department of Labor, U.S. Bureau of Labor Statistics, Office of Prices and Living Conditions |
Subject: | principal-components-type decomposition of multivariate time-series models | Zeitreihenanalyse | Time series analysis | Prognoseverfahren | Forecasting model | USA | United States | Dekompositionsverfahren | Decomposition method | VAR-Modell | VAR model | Nationaleinkommen | National income | ARMA-Modell | ARMA model | Theorie | Theory | Bruttoinlandsprodukt | Gross domestic product |
-
On the model-based interpretation of filters and the reliability of trend-cycle estimates
Proietti, Tommaso, (2009)
-
Is it one break or ongoing permanent shocks that explains US real GDP?
Luo, Sui, (2014)
-
Benchmarking econometric and machine learning methodologies in nowcasting GDP
Hopp, Daniel, (2024)
- More ...
-
Chen, Baoline, (2005)
-
Zadrozny, Peter A., (2019)
-
Zadrozny, Peter A., (2005)
- More ...