Direction of Trade Statistics, September 2018

This paper focuses on the sluggish growth of world trade relative to income growth in recent years. The analysis uses an empirical strategy based on an error correction model to assess whether the global trade slowdown is structural or cyclical. An estimate of the relationship between trade and income in the past four decades reveals that the long-term trade elasticity rose sharply in the 1990s, but declined significantly in the 2000s even before the global financial crisis. These results suggest that trade is growing slowly not only because of slow growth of Gross Domestic Product (GDP), but also because of a structural change in the trade-GDP relationship in recent years. The available evidence suggests that the explanation may lie in the slowing pace of international vertical specialization rather than increasing protection or the changing composition of trade and GDP.

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This paper discusses that shipments to and from free-trade zones and bonded warehouses, exclusion of military and other confidential items and government goods, value thresholds for customs registration of shipments, returned goods, and other goods missed by customs (or surveys) are examples of coverage differences that can result in inconsistencies. As a result of reporting and processing lags, trade data for a given period are often released before all customs documents for the period have been processed. These data are sometimes not revised, or, if data are revised, errors are nevertheless made in assigning the date on which goods are shipped or received and the late data are assigned to the wrong month, quarter, and/or year. Errors can also be made in assigning a destination to exports and an origin to imports during customs clearances, or in cases when the ultimate destination is changed after the initial consignment during transshipment, the change is not incorporated into published statistics via the release of revised data.