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Do German economic research institutes publish efficient growth and inflation forecasts? A Bayesian analysis

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  • Christoph Behrens
  • Christian Pierdzioch
  • Marian Risse

Abstract

We use Bayesian additive regression trees to reexamine the efficiency of growth and inflation forecasts for Germany. To this end, we use forecasts of four leading German economic research institutes for the sample period from 1970 to 2016. We reject the strong form of forecast efficiency and find evidence against the weak form of forecast efficiency for longer-term growth and longer-term inflation forecasts. We cannot reject weak efficiency of short-term growth and inflation forecasts and of forecasts disaggregated at the institute level. We find that Bayesian additive regression trees perform significantly better than a standard linear efficiency-regression model in terms of forecast accuracy.

Suggested Citation

  • Christoph Behrens & Christian Pierdzioch & Marian Risse, 2020. "Do German economic research institutes publish efficient growth and inflation forecasts? A Bayesian analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(4), pages 698-723, March.
    • Handle: RePEc:taf:japsta:v:47:y:2020:i:4:p:698-723
    DOI: 10.1080/02664763.2019.1652253
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    Cited by:

    1. Heinisch Katja & Behrens Christoph & Döpke Jörg & Foltas Alexander & Fritsche Ulrich & Köhler Tim & Müller Karsten & Puckelwald Johannes & Reichmayr Hannes, 2024. "The IWH Forecasting Dashboard: From Forecasts to Evaluation and Comparison," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 244(3), pages 277-288, June.
    2. Heinisch, Katja & Behrens, Christoph & Döpke, Jörg & Foltas, Alexander & Fritsche, Ulrich & Köhler, Tim & Müller, Karsten & Puckelwald, Johannes & Reichmayr, Hannes, 2023. "The IWH Forecasting Dashboard: From forecasts to evaluation and comparison," IWH Technical Reports 1/2023, Halle Institute for Economic Research (IWH).

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