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Explanatory note on the CPB world trade series

Author

Listed:
  • Gerard van Welzenis
  • Wim Suyker
Abstract
This note provides detailed information on the CPB world trade series and gives a comparison of these series with those of international organisations. The series also play a vital role in the projections of the Dutch economy as the forecast of export market growth has a major influence on the overall projection of the Dutch economy in the short term. The trade series are not only presented in the CPB’s quarterly outlook publications but are also presented in the monthly world trade monitor. Furthermore, the European Commission is using the CPB data to provide information on world trade in its Quarterly Reports on the Euro Area, its Key indicators for the euro area updated before each Eurogroup meeting of the ECOFIN ministers and its semi-annual forecasts. Finally, due to CPB - World Bank cooperation, the world trade data presented in the annual Global Economic Prospect reports of the World Bank and its internal monthly reports on the world economy closely resemble the CPB world trade series.

Suggested Citation

  • Gerard van Welzenis & Wim Suyker, 2005. "Explanatory note on the CPB world trade series," CPB Memorandum 116, CPB Netherlands Bureau for Economic Policy Analysis.
    • Handle: RePEc:cpb:memodm:116
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    File URL: https://www.cpb.nl/sites/default/files/publicaties/download/memo116.pdf
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    Citations

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    Cited by:

    1. Audrone Jakaitiene & Stephane Dees, 2012. "Forecasting the World Economy in the Short Term," The World Economy, Wiley Blackwell, vol. 35(3), pages 331-350, March.
    2. Golinelli, Roberto & Parigi, Giuseppe, 2014. "Tracking world trade and GDP in real time," International Journal of Forecasting, Elsevier, vol. 30(4), pages 847-862.
    3. Drechsel, Katja & Giesen, Sebastian & Lindner, Axel, 2014. "Outperforming IMF Forecasts by the Use of Leading Indicators," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100393, Verein für Socialpolitik / German Economic Association.
    4. Amélie Charles & Olivier Darné, 2022. "Backcasting world trade growth using data reduction methods," The World Economy, Wiley Blackwell, vol. 45(10), pages 3169-3191, October.
    5. Amélie Charles & Olivier Darné, 2022. "Backcasting world trade growth using data reduction methods," Post-Print hal-04027843, HAL.
    6. Martin Mellens & Herman Noordman & Johan Verbruggen, 2007. "Re-exports: international comparison and implications for performance indicators," CPB Document 149, CPB Netherlands Bureau for Economic Policy Analysis.
    7. Matthias Burgert & Stephane Dees, 2009. "Forecasting World Trade: Direct Versus “Bottom-Up” Approaches," Open Economies Review, Springer, vol. 20(3), pages 385-402, July.
    8. Stephane DEES & Audrone JAKAITIENE, 2008. "Short-term Forecasting Methods of International Trade Variables," EcoMod2008 23800029, EcoMod.
    9. Peter A.G. van Bergeijk, 2010. "On the Brink of Deglobalization," Books, Edward Elgar Publishing, number 14122.

    More about this item

    JEL classification:

    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

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