Linking words in economic discourse: implications for macroeconomic forecasts
Abstract: This paper develops indicators of unstructured press information by exploiting word vector representations. A model is trained using a corpus covering 90 years of Wall Street Journal content. The information content of the indicators is assessed through business cycle forecast exercise...
Guardado en:
| Autor principal: | Aromí, José Daniel |
|---|---|
| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://repositorio.uca.edu.ar/handle/123456789/10786 https://doi.org/10.1016/j.ijforecast.2019.12.001 0169-2070 |
| Aporte de: |
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