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Can confidence indicators be useful to predict short term real GDP growth?

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  • Mourougane, Annabelle
  • Roma, Moreno

Abstract

We investigate the usefulness of the European Commission confidence indicators in forecasting real GDP growth rates in the short-run in selected euro area countries (Belgium, Spain, Germany, France, Italy and the Netherlands) which account for almost 90% of the euro area. We estimate a linear relationship between real GDP and confidence indicators and we compare the forecasting performance of the estimated models with a benchmark ARIMA model. We generally find that confidence indicators can be useful in forecasting real GDP growth rates in the short run in a number of countries (Belgium, Germany, France, Italy and the Netherlands). Notwithstanding some signs of instability in the relationship between confidence indicators and real GDP, improvements with the use of time-varying parameter models appear to be fairly limited but confirm the findings obtained with constant parameter techniques. The results are robust to a wide range of variant tests implemented. JEL Classification: C22, E27

Suggested Citation

  • Mourougane, Annabelle & Roma, Moreno, 2002. "Can confidence indicators be useful to predict short term real GDP growth?," Working Paper Series 133, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:2002133
    Note: 337417
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    1. Annabelle Mourougane & Moreno Roma, 2003. "Can confidence indicators be useful to predict short term real GDP growth?," Applied Economics Letters, Taylor & Francis Journals, vol. 10(8), pages 519-522.
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    More about this item

    Keywords

    confidence indicators; forecasting real GDP; Kalman filter;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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