A short note on the nowcasting and the forecasting of Euro-area GDP using non-parametric techniques

Dominique Guegan () and Patrick Rakotomarolahy ()
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Dominique Guegan: Centre d'Economie de la Sorbonne - Paris School of Economics, https://cv.archives-ouvertes.fr/dominique-guegan
Patrick Rakotomarolahy: Centre d'Economie de la Sorbonne, https://centredeconomiesorbonne.cnrs.fr

Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne

Abstract: 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

Keywords: k-nearest neighbors method; radial basis function method; non-parametric forecasts; GDP, Euro-area (search for similar items in EconPapers)
JEL-codes: C22 C53 E32 (search for similar items in EconPapers)
Pages: 11 pages
Date: 2010-01
New Economics Papers: this item is included in nep-cba and nep-for
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Citations: View citations in EconPapers (6)

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http://mse.univ-paris1.fr/pub/mse/CES2010/10013.pdf (application/pdf)

Related works:
Journal Article: A Short Note on the Nowcasting and the Forecasting of Euro-area GDP Using Non-Parametric Techniques (2010)
Working Paper: A Short Note on the Nowcasting and the Forecasting of Euro-area GDP Using Non-Parametric Techniques (2010)
Working Paper: A short note on the nowcasting and the forecasting of Euro-area GDP using non-parametric techniques (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:mse:cesdoc:10013

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