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Forecasting trade

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Listed:
  • Keck, Alexander
  • Raubold, Alexander

Abstract

This paper develops a set of time series models to provide short-term forecasts (6 to 18 months ahead) of international trade both at the global level and for selected regions. Our results compare favourably to other forecasts, notably by the International Monetary Fund, as measured by standard evaluation measures, such as the root mean square forecast error. In comparison to other models, our approach offers several methodological advantages, inter alia, a focus on import growth as the core variable, the avoidance of certain difficulties affecting the performance of structural models, the selection of variables and lags on the basis of theoretical considerations and empirical testing as well as a full documentation of the modelling process.

Suggested Citation

  • Keck, Alexander & Raubold, Alexander, 2006. "Forecasting trade," WTO Staff Working Papers ERSD-2006-05, World Trade Organization (WTO), Economic Research and Statistics Division.
    • Handle: RePEc:zbw:wtowps:ersd200605
    DOI: 10.30875/09f15011-en
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    References listed on IDEAS

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    Cited by:

    1. Matthias Burgert & Stephane Dees, 2009. "Forecasting World Trade: Direct Versus “Bottom-Up” Approaches," Open Economies Review, Springer, vol. 20(3), pages 385-402, July.

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    More about this item

    Keywords

    Forecasting; time series; international trade; WTO;
    All these keywords.

    JEL classification:

    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • 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
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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