Long-term forecasting of El Niño events via dynamic factor simulations
Year of publication: |
2020
|
---|---|
Authors: | Li, Mengheng ; Koopman, Siem Jan ; Lit, Rutger ; Petrova, Desislava |
Published in: |
Journal of econometrics. - Amsterdam [u.a.] : Elsevier, ISSN 0304-4076, ZDB-ID 184861-6. - Vol. 214.2020, 1, p. 46-66
|
Subject: | Climate econometrics | Dynamic models | Factor models | Kalman filter | Long-term forecast | Multivariate time series | Simulation smoothing | Unobserved components | Prognoseverfahren | Forecasting model | Simulation | Zeitreihenanalyse | Time series analysis | Zustandsraummodell | State space model | Dynamische Wirtschaftstheorie | Economic dynamics | Faktorenanalyse | Factor analysis | Wirtschaftsprognose | Economic forecast |
-
Nowcasting German GDP : foreign factors, financial markets, and model averaging
Andreini, Paolo, (2023)
-
Short term forecasts of economic activity : are fortnightly factors useful?
Monteforte, Libero, (2018)
-
Forecasting and nowcasting economic growth in the euro area using factor models
Hindrayanto, Irma, (2016)
- More ...
-
Forecasting economic time series using score-driven dynamic models with mixed-data sampling
Gorgi, Paolo, (2018)
-
Unobserved Components with Stochastic Volatility in U.S. Inflation: Estimation and Signal Extraction
Li, Mengheng, (2018)
-
Unobserved components with stochastic volatility : Simulation‐based estimation and signal extraction
Li, Mengheng, (2021)
- More ...