Predictive performance of mixed-frequency nowcasting and forecasting models (with application to Philippine inflation and GDP growth)
Year of publication: |
2021
|
---|---|
Authors: | Mariano, Roberto S. ; Özmucur, Süleyman |
Published in: |
Journal of quantitative economics. - [New Delhi] : Springer India, ISSN 2364-1045, ZDB-ID 2842078-0. - Vol. 19.2021, supplement 1, p. 383-400
|
Subject: | ARDL | Combining forecasts | Dynamic latent factor model | Elastic net | Factor analysis | Forecasting | MIDAS | Nowcasting | Principal components | VAR | Prognoseverfahren | Forecasting model | Faktorenanalyse | Wirtschaftsprognose | Economic forecast | VAR-Modell | VAR model | Prognose | Forecast | Bruttoinlandsprodukt | Gross domestic product | Frühindikator | Leading indicator | Schätzung | Estimation | Inflation | Philippinen | Philippines | Nationaleinkommen | National income | Theorie | Theory | Wirtschaftswachstum | Economic growth |
-
Mariano, Roberto S., (2020)
-
Forecasting the production side of GDP
Bäurle, Gregor, (2018)
-
Forecasting China's GDP growth using dynamic factors and mixed-frequency data
Jiang, Yu, (2017)
- More ...
-
Fighting COVID-19 : Patterns in International Data, Expanded
Mariano, Roberto S., (2021)
-
Fighting COVID-19 : patterns in international data
Mariano, Roberto S., (2020)
-
Mariano, Roberto S., (2020)
- More ...