Commodity price uncertainty and shocks: implications for economic growth

Jan Dehn

No 2000-10, CSAE Working Paper Series from Centre for the Study of African Economies, University of Oxford

Abstract: It has long been believed that commodity price variability causes problems for primary-producing developing countries, but there is less agreement about which particular manifestations of commodity price movements matter to developing countries. This paper tests the effects of ex post shocks and ex ante price uncertainty on economic growth using the Burnside and Dollar (1997) data set. The shock and uncertainty variables are constructed using a new data set of unique aggregate commodity price indices for 113 developing countries over the period 1957Q1-1997Q4. The analysis shows that per capita growth rates are significantly reduced by large discrete negative commodity price shocks. The magnitude of the effect of negative shocks on growth is very substantial, and appears to work independently of investment, which suggests that adjustment is achieved through severe reductions in capacity utilization. Negative shocks remain highly significant after controlling for government economic policy and institutional quality, which indicates that the result is not attributable exclusively to inappropriate policy responses on the part of governments. The paper also shows that positive shocks have no lasting impact on growth, which is consistent with the findings of both Deaton and Miller (1995) and Collier and Gunning (1999a), but overturns an earlier result which suggested that the long run effects of positive temporary shocks are negative. The third key result is that ex ante uncertainty does not affect growth, which holds for nine different definitions of uncertainty. Hence, what reduces growth is not the prospect of volatile world prices, but the actual realizations of negative shocks. The results are robust to changes in sample composition, changing the time series dimensions of the data, instrumenting for endogenous regressors, and across different estimation methods.

Date: 2000
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