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Macroeconomic forecasts and the nature of economic shocks in Germany

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  • Dopke, Jorg

Abstract

The paper investigates the sources of macroeconomic forecast errors in Germany. The predictions of the so-called "six leading" research institutes are analyzed. The forecast errors are discussed within an aggregate demand/supply scheme. Structural Vector Autoregressive Models are estimated to identify the shocks underlying the business cycle. It is tested whether these shocks can explain the forecast errors. The empirical results suggest that, in general, the shocks are helpful in explaining the forecast errors. However, the correlations are rather weak. In addition, lagged shocks help also to explain the mispredictions of the institutes. Thus, forecasters' expectations are not rational.
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  • Dopke, Jorg, 2001. "Macroeconomic forecasts and the nature of economic shocks in Germany," International Journal of Forecasting, Elsevier, vol. 17(2), pages 181-201.
    • Handle: RePEc:eee:intfor:v:17:y:2001:i:2:p:181-201
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    3. 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.
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    5. Fildes, Robert & Stekler, Herman, 2002. "Reply to the comments on 'The state of macroeconomic forecasting'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 503-505, December.

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    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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