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:||2010|
|Date of revision:|
|Publication status:||Published, Economics Bulletin, 2010, 30, 1, 508-518|
|Note:||View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00460472|
|Contact details of provider:|| Web page: http://hal.archives-ouvertes.fr/|
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