Theories, Techniques and the Formation of German Business Cycle Forecasts: Evidence from a survey of professional forecasters

Döpke Jörg, Ulrich Fritsche and Waldhof Gabi
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Döpke Jörg: Hochschule Merseburg, Merseburg, Germany
Waldhof Gabi: Martin-Luther-Unversität Halle/Wittenberg, Halle, Germany

Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2019, vol. 239, issue 2, 203-241

Abstract: We report results of a survey among active forecasters of the German business cycle. Using data for 82 respondents from 37 different institutions, we investigate what models and theories forecasters subscribe to and find that they are pronounced conservative in the sense that they overwhelmingly rely on methods and theories that have been well-established for a long time, while more recent approaches are relatively unimportant for the practice of business cycle forecasting. DSGE models are mostly used in public institutions. In line with findings in the literature there are tendencies of “leaning towards consensus” (especially for public institutions) and “sticky adjustment of forecasts” with regard to new information. A stable relationship between preferred theories and methods and forecast accuracy cannot be established.

Keywords: forecast error evaluation; questionnaire; survey; business cycle forecast; professional forecaster (search for similar items in EconPapers)
JEL-codes: C83 E32 E37 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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Working Paper: Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey of professional forecasters (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:jns:jbstat:v:239:y:2019:i:2:p:203-241:n:1

DOI: 10.1515/jbnst-2018-0018

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