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An automatic leading indicator of economic activity: forecasting GDP growth for European countries

Gonzalo Camba-Mendez (), George Kapetanios (), Richard Smith () and Martin Weale ()

Econometrics Journal, 2001, vol. 4, issue 1, 37

Abstract: In the construction of a leading indicator model of economic activity, economists must select among a pool of variables which lead output growth. Usually the pool of variables is large and a selection of a subset must be carried out. This paper proposes an automatic leading indicator model which, rather than preselection, uses a dynamic factor model to summarize the information content of a pool of variables. Results using quarterly data for France, Germany, Italy and the United Kingdom show that the overall forecasting performance of the automatic leading indicator model appears better than that of more traditional VAR and BVAR models.

Keywords: Dynamic factor model; Forecasting; Kalman filter; AR; VAR and BVAR models. (search for similar items in EconPapers)
Date: 2001
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Working Paper: An Automatic Leading Indicator of Economic Activity: Forecasting GDP Growth for European Countries (1999)
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Econometrics Journal is currently edited by Richard J. Smith, Oliver Linton, Pierre Perron, Jaap Abbring and Marius Ooms

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