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Estimating and forecasting the euro area monthly national accounts from a dynamic factor model

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Author Info
Elena Angelini () (European Central Bank, Kaiserstrasse 29, D-60311 Frankfurt am Main, Germany.)
Marta Bańbura () (European Central Bank, Kaiserstrasse 29, D-60311 Frankfurt am Main, Germany.)
Gerhard Rünstler () (European Central Bank, Kaiserstrasse 29, D-60311 Frankfurt am Main, Germany.)

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Abstract

We estimate and forecast growth in euro area monthly GDP and its components from a dynamic factor model due to Doz et al. (2005), which handles unbalanced data sets in an efficient way. We extend the model to integrate interpolation and forecasting together with cross-equation accounting identities. A pseudo real-time forecasting exercise indicates that the model outperforms various benchmarks, such as quarterly time series models and bridge equations in forecasting growth in quarterly GDP and its components. JEL Classification: E37, C53.

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Paper provided by European Central Bank in its series Working Paper Series with number 953.

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Length: 29 pages
Date of creation: Oct 2008
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Handle: RePEc:ecb:ecbwps:20080953

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Related research
Keywords: Dynamic factor models; interpolation; nowcasting.;

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  1. Barhoumi, K. & Rünstler, G. & Cristadoro, R. & Den Reijer, A. & Jakaitiene, A. & Jelonek, P. & Rua, A. & Ruth, K. & Benk, S. & Van Nieuwenhuyze, C., 2008. "Short-term forecasting of GDP using large monthly datasets: a pseudo real-time forecast evaluation exercise," Documents de Travail 215, Banque de France. [Downloadable!]
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