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Too Many Cooks? The German Joint Diagnosis and Its Production

Author

Listed:
  • Ulrich Fritsche

    (Department for Socioeconomics, University of Hamburg)

  • Ullrich Heilemann

    (Faculty of Economics, University of Leipzig)

Abstract

The “Gemeinschaftsdiagnose” [Joint Diagnosis (JD)] is the most influential semi-annual mac-roeconomic forecast in Germany. Jointly produced by up to six institutes, its accuracy as well as the large number of involved participants is often criticised. This study examines the JD’s growth and inflation forecasts from 1970 to 2007, including most of the contributions of the forecasts submitted by the five institutes at the start of the JD. Four questions are addressed: (i) Are these forecasts unbiased and efficient? (ii) How do results change if we presume an asymmetric loss function? (iii) Are any of the institutes more accurate than the JD? Are five/six institutes necessary and at what cost? (iv) Do the institutes make strategic forecasts to influence the JD forecast? Results show that there is no strong evidence of bias or inefficiency of the institutes’ forecasts and no evidence of asymmetric loss functions. Five institutes are not necessary, but it is very hard to predict the redundant institutes; however, the loss of accu-racy by employing only two is small.

Suggested Citation

  • Ulrich Fritsche & Ullrich Heilemann, 2010. "Too Many Cooks? The German Joint Diagnosis and Its Production," Macroeconomics and Finance Series 201001, University of Hamburg, Department of Socioeconomics.
    • Handle: RePEc:hep:macppr:201001
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    File URL: https://www.wiso.uni-hamburg.de/repec/hepdoc/macppr_1_2010.pdf
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    Citations

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    Cited by:

    1. Müller, Karsten, 2020. "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers 23, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    2. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    3. Ulrich Heilemann & Susanne Schnorr-Bäcker, 2016. "Could The Start Of The German Recession 2008-2009 Have Been Foreseen? Evidence From Real-Time Data," Working Papers 2016-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Marina Riem, 2017. "Essays on the Behavior of Firms and Politicians," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 73.
    5. Christoph Schinke, 2016. "Wealth and Politics: Studies on Inter Vivos Transfers and Partisan Effects," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 67.
    6. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    7. Ha Quyen Ngo & Niklas Potrafke & Marina Riem & Christoph Schinke, 2018. "Ideology and Dissent among Economists: The Joint Economic Forecast of German Economic Research Institutes," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 44(1), pages 135-152, January.
    8. Heilemann Ullrich & Schnorr-Bäcker Susanne, 2017. "Could the start of the German recession 2008–2009 have been foreseen? Evidence from Real-Time Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(1), pages 29-62, February.
    9. Engelke, Carola & Heinisch, Katja & Schult, Christoph, 2019. "How forecast accuracy depends on conditioning assumptions," IWH Discussion Papers 18/2019, Halle Institute for Economic Research (IWH).

    More about this item

    Keywords

    Forecast accuracy; joint forecasts; strategic forecast behaviour;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior

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