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German Exports to the Euro Area - A Cointegration Approach

Author

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  • Sabine Stephan

    (IMK at the Hans Boeckler Foundation)

Abstract

This paper analyses the determinants of German exports to the euro area, which is by far the biggest market for German products. Four conditional error-correction models based on regionally disaggregated data are developed. One specification includes EMU industrial production and a real external value based on consumer prices, the other three use different EMU investment aggregates, the corresponding real external values and a proxy for European market integration to explain exports. The models perform equally well in a number of diagnostic tests. For short-term forecasts, however, the model using industrial production seems to be the best, since it outperforms the other models in terms of one-step ahead out-of-sample forecasts. Furthermore, the explanatory variables of this equation (industrial production and consumer prices) are easier to forecast than investment aggregates and the corresponding prices.

Suggested Citation

  • Sabine Stephan, 2005. "German Exports to the Euro Area - A Cointegration Approach," IMK Working Paper 06-2005, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    • Handle: RePEc:imk:wpaper:06-2005
    as

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    File URL: http://www.boeckler.de/pdf/p_imk_wp_06_2005.pdf
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    References listed on IDEAS

    as
    1. Lapp, Susanne & Scheide, Joachim & Solveen, Ralph, 1995. "Determinants of exports in the G7-countries," Kiel Working Papers 707, Kiel Institute for the World Economy.
    2. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    3. Beyer, Andreas & Doornik, Jurgen A & Hendry, David F, 2001. "Constructing Historical Euro-Zone Data," Economic Journal, Royal Economic Society, vol. 111(469), pages 102-121, February.
    4. Morris Goldstein & Mohsin S. Khan, 2017. "Income and Price Effects in Foreign Trade," World Scientific Book Chapters, in: TRADE CURRENCIES AND FINANCE, chapter 1, pages 3-81, World Scientific Publishing Co. Pte. Ltd..
    5. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
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    Cited by:

    1. Frenkel Michael & Zimmermann Lilli, 2020. "What Drives Germany's Exports?," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 56(2), pages 99-108, June.
    2. Frenkel Michael & Zimmermann Lilli, 2020. "What Drives Germany's Exports?," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 56(2), pages 99-108, June.

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    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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