Forecasting crop yields through climate variables using mixed frequency data: the case of Argentine soybeans

This article evaluates the value of information on climate variables published in advance and at a higher frequency than the target variable of interest—crop yields—in order to get short term forecasts. Aggregate and disaggregate climate data, alternative weighting schemes and different updating sch...

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Detalles Bibliográficos
Autor principal: Cornejo, Magdalena
Formato: Articulo
Lenguaje:Inglés
Publicado: 2021
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/145346
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