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The accuracy and efficiency of the Consensus Forecasts: A further application and extension of the pooled approach

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Author Info
Ager, P.
Kappler, M.
Osterloh, S.
Abstract

This paper analyses the performance of consensus forecasts, published by Consensus Economics, for 12 countries over the period from 1996 to 2006 regarding bias and information efficiency. A pooled approach is employed which permits the evaluation of all forecasts for each target variable over 24 horizons simultaneously. It is shown how the pooled approach needs to be set up in order to accommodate the forecasting scheme of the consensus forecasts. Furthermore, the pooled approach is extended by a sequential test for detecting the critical horizon after which the forecast should be regarded as biased. Moreover, heteroscedasticity in the form of target-year-specific variances of macroeconomic shocks is taken into account. The results show that in the analysed period, which was characterised by pronounced macroeconomic shocks, several countries show biased forecasts, especially with forecast horizons of more than 12 months. In addition, information efficiency has to be rejected in almost all cases.

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Publisher Info
Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 25 (2009)
Issue (Month): 1 ()
Pages: 167-181
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Handle: RePEc:eee:intfor:v:25:y:2009:i:1:p:167-181

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Web page: http://www.elsevier.com/locate/ijforecast

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Related research
Keywords: Evaluating forecasts Business cycle forecasting Inflation forecasting Consensus forecasts Bias and efficiency;

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  1. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2009. "Disagreement among Forecasters in G7 Countries," Macroeconomics and Finance Series 200906, Hamburg University, Department Wirtschaft und Politik. [Downloadable!]
    Other versions:
  2. Jörg Döpke & Ulrich Fritsche & Boriss Siliverstovs, 2009. "Evaluating German Business Cycle Forecasts Under an Asymmetric Loss Function," KOF Working papers 09-237, KOF Swiss Economic Institute, ETH Zurich. [Downloadable!]
    Other versions:
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