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Commodity price uncertainty in developing countries

Listed author(s):
  • Dehn,Jan
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    Uncertainty about commodity export prices is important to developing countries -- both governments and producers -- that export primary commodities. Commodity export price uncertainty is typically measured as the standard deviation in the terms of trade. There are three problems with this approach: 1) Terms of trade indices are unsuitable as proxies for commodity price movements per se. 2) The shortness of terms of trade time series makes them inappropriate as a base for constructing time-varying uncertainty measures. 3) Simple standard deviation measures ignore the distinction between predictable and unpredictable elements in the price process, so they risk overstating uncertainty. 4) The author examines commodity price uncertainty in developing countries using new data for quarterly aggregate commodity price indices for 113 developing countries for the period 1957-97. Each index is a geometrically weighted index of 57 commodity prices. He constructs six different measures of uncertainty. The uncertainty measures confirm the importance of distinguishing between predictable and unpredictable components in the price process. But there is a positive, highly significant relationship between commodity export concentration and commodity price uncertainty for all six measures. No obvious link is found between a country's regional affiliation and its exposure to uncertainty. Sub-Saharan African countries, for example, are no more prone to commodity price uncertainty than countries in other commodity-producing regions, although to the extent that they depend more on commodities, they will be affected more than countries with more diversified export baskets. Similarly, there is no apparent relationship between a country's experiences of uncertainty and the type of commodities that dominate its exports-except that oil producers face greater uncertainty (because of discrete, well-publicized oil shocks). A measure of uncertainty based on generalized autoregressive conditional heteroskedasticity (GARCH) indicates considerable time variation in uncertainty. Uncertainty is sometimes characterized by discrete spikes, although uncertainty in countries exhibits a secular increase over time. Most countries experience uncertainty, which tends to persist. It is unclear what lies behind the time variation in uncertainty.

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    Paper provided by The World Bank in its series Policy Research Working Paper Series with number 2426.

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    Date of creation: 31 Aug 2000
    Handle: RePEc:wbk:wbrwps:2426
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