Do Forecasters Inform or Reassure? Evaluation of the German Real-Time Data

Discussion Papers 858, 24 S.

Konstantin A. Kholodilin, Boriss Siliverstovs

2009. Feb.

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Published in: Applied Economics Quarterly 55 (2009) No. 4, 269-293

Abstract

The paper evaluates the quality of the German national accounting data (GDP and its use-side components) as measured by the magnitude and dispersion of the forecast/ revision errors. It is demonstrated that government consumption series are the least reliable, whereas real GDP and real private consumption data are the most reliable. In addition, early forecasts of GDP, private consumption, and investment growth rates are shown to be systematically upward biased. Finally, early forecasts of all the variables seem to be no more accurate than naïve forecasts based on the historical mean of the final data.

Konstantin A. Kholodilin

Research Associate in the Macroeconomics Department



JEL-Classification: C53;C89
Keywords: Quality of statistical data, real-time data, signal-to-noise ratio, forecasts, revisions
Frei zugängliche Version: (econstor)
http://hdl.handle.net/10419/27380

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