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The role of targeted predictors for nowcasting GDP with bridge models: Application to the Euro area

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  • Kitlinski, Tobias
  • an de Meulen, Philipp

Abstract

Using factor models, it has recently been shown that a pre-selection of indicators improves GDP forecasts in the very short-term. The aim of this paper is to adopt this research to the methodology of bridge models in combination with pooling approaches. Focusing on Euro Area GDP between 2005 and 2013, we find that a selection of targeted predictors by means of soft- and hard-threshold algorithms improves the forecasting performance, especially during periods of economic crisis. While a critical number of indicators are needed to include all relevant information, adding additional indicators has a negative effect on forecasting performance, all the more, if the set of indicators becomes unbalanced.

Suggested Citation

  • Kitlinski, Tobias & an de Meulen, Philipp, 2015. "The role of targeted predictors for nowcasting GDP with bridge models: Application to the Euro area," Ruhr Economic Papers 559, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:559
    DOI: 10.4419/86788640
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    Cited by:

    1. an de Meulen, Philipp, 2015. "Das RWI-Kurzfristprognosemodell," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 66(2), pages 25-46.
    2. Schmidt, Torsten & Döhrn, Roland & Grozea-Helmenstein, Daniela & an de Meulen, Philipp & Micheli, Martin & Rujin, Svetlana & Zwick, Lina, 2016. "Die wirtschaftliche Entwicklung im Ausland: Keine durchgreifende Besserung," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 67(1), pages 5-36.
    3. Döhrn, Roland & Barabas, György & Fuest, Angela & Gebhard, Heinz & Micheli, Martin & Rujin, Svetlana & Zwick, Lina, 2016. "Die wirtschaftliche Entwicklung im Inland: In schwierigem Fahrwasser," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 67(1), pages 37-110.

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    More about this item

    Keywords

    Forecasting; bridge equations; pooling of forecasts;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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