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Survey-based forecast distributions for Euro Area growth and inflation: ensembles versus histograms

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  • Fabian Krüger

    (Heidelberg University)

Abstract

Ensemble methods can be used to construct a forecast distribution from a collection of point forecasts. They are used extensively in meteorology, but have received little direct attention in economics. In a real-time analysis of the ECB’s Survey of Professional Forecasters, we compare ensemble methods to histogram-based forecast distributions of GDP growth and inflation in the Euro Area. We find that ensembles perform very similarly to histograms, while being simpler to handle in practice. Given the wide availability of surveys that collect point forecasts but not histograms, these results suggest that ensembles deserve further investigation in economics.

Suggested Citation

  • Fabian Krüger, 2017. "Survey-based forecast distributions for Euro Area growth and inflation: ensembles versus histograms," Empirical Economics, Springer, vol. 53(1), pages 235-246, August.
    • Handle: RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-017-1228-3
    DOI: 10.1007/s00181-017-1228-3
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    References listed on IDEAS

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    More about this item

    Keywords

    Forecasting; Survey data; Macroeconomics;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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