An Algorithmic Crystal Ball : Forecasts-based on Machine Learning /
Forecasting macroeconomic variables is key to developing a view on a country's economic outlook. Most traditional forecasting models rely on fitting data to a pre-specified relationship between input and output variables, thereby assuming a specific functional and stochastic process underlying...
| Autor principal: | Jung, Jin-Kyu |
|---|---|
| Outros Autores: | Patnam, Manasa, Ter-Martirosyan, Anna |
| Formato: | Periódico |
| Idioma: | English |
| Publicado em: |
Washington, D.C. :
International Monetary Fund,
2018.
|
| Colecção: | IMF Working Papers; Working Paper ;
No. 2018/230 |
| Assuntos: | |
| Acesso em linha: | Full text available on IMF |
Registos relacionados
-
The More the Merrier? : A Machine Learning Algorithm for Optimal Pooling of Panel Data /
Por: Bolhuis, Marijn
Publicado em: (2020) -
System Priors for Econometric Time Series /
Por: Andrle, Michal
Publicado em: (2016) -
Avoid Filling Swiss Cheese with Whipped Cream : Imputation Techniques and Evaluation Procedures for Cross-Country Time Series /
Por: Weber, Michael
Publicado em: (2011) -
Can Italy Grow Out of Its NPL Overhang? : A Panel Threshold Analysis /
Por: Mohaddes, Kamiar
Publicado em: (2017) -
Liberalization and the Behavior of Output During the Transition From Plan to Market /
Por: Hernandez-Cata, Ernesto
Publicado em: (1997)