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Forecasting world trade: direct versus "bottom-up" approaches

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  • Dées, Stéphane
  • Burgert, Matthias

Abstract

In a globalised world economy, global factors have become increasingly important to explain trade flows at the expense of country-specific determinants. This paper shows empirically the superiority of direct forecasting methods, in which world trade is directly forecasted at the aggregate levels, relative to "bottom-up" approaches, where world trade results from an aggregation of country-specific forecasts. Factor models in particular prove rather accurate, where the factors summarise large-scale datasets relevant in the determination of trade flows. JEL Classification: C53, C32, E37, F17

Suggested Citation

  • Dées, Stéphane & Burgert, Matthias, 2008. "Forecasting world trade: direct versus "bottom-up" approaches," Working Paper Series 882, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:2008882
    Note: 2544114
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    References listed on IDEAS

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    Cited by:

    1. Martínez-Martín, Jaime & Rusticelli, Elena, 2021. "Keeping track of global trade in real time," International Journal of Forecasting, Elsevier, vol. 37(1), pages 224-236.
    2. 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.
    3. Golinelli, Roberto & Parigi, Giuseppe, 2014. "Tracking world trade and GDP in real time," International Journal of Forecasting, Elsevier, vol. 30(4), pages 847-862.
    4. Antonello D’Agostino & Michele Modugno & Chiara Osbat, 2017. "A Global Trade Model for the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 1-34, December.
    5. 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.
    6. Stéphanie Guichard & Elena Rusticelli, 2011. "A Dynamic Factor Model for World Trade Growth," OECD Economics Department Working Papers 874, OECD Publishing.
    7. J.-S. Pentecôte & J.-C. Poutineau & F. Rondeau, 2015. "Trade Integration and Business Cycle Synchronization in the EMU: The Negative Effect of New Trade Flows," Open Economies Review, Springer, vol. 26(1), pages 61-79, February.
    8. Stephane DEES & Audrone JAKAITIENE, 2008. "Short-term Forecasting Methods of International Trade Variables," EcoMod2008 23800029, EcoMod.

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    More about this item

    Keywords

    factor models; forecasts; Time series models.; world trade;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation

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