A short note on the nowcasting and the forecasting of Euro-area GDP using non-parametric techniques
The aim of this paper is to introduce a new methodology to forecast the monthly economic indicators used in the Gross Domestic Product (GDP) modelling in order to improve the forecasting accuracy. Our approach is based on multivariate k-nearest neighbors method and radial basis function method for which we provide new theoretical results. We apply these two methods to compute the quarter GDP on the Euro-zone, comparing our approach, with GDP obtained when we estimate the monthly indicators with a linear model, which is often used as a benchmark.
|Date of creation:||Jan 2010|
|Date of revision:|
|Publication status:||Published in Documents de travail du Centre d'Economie de la Sorbonne 2010.13 - ISSN : 1955-611X. 2010|
|Note:||View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00461711|
|Contact details of provider:|| Web page: https://hal.archives-ouvertes.fr/|
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