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- Svedberg, Peter
(author)
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How Many People Are Malnourished?
- 2011
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In: Annual review of nutrition (Print). - : Annual Reviews. - 0199-9885 .- 1545-4312. - 9780824328313 ; 31, s. 263-283
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Research review (peer-reviewed)abstract
- The present article reviews the strengths and weaknesses of the three main methods for estimating the prevalence of malnutrition in populations: self-reported hunger, estimates based on food supplies, and anthropometrics. Although far from flawless, anthropometrics is found to be the most reliable method and also the most useful for directing policy. The main form of malnutrition among adults is overweight, not only in developed countries, but also in almost all developing countries. Only in a few developing countries is adult underweight more prevalent. By the conventional anthropometric indicators, about one-quarter of all children below the age of 5 in the developing countries are stunted or underweight, and about 10% are wasted. The total burden of malnutrition among young children, as measured by the Composite Index of Anthropometric Failure, is considerably higher, about 60% in India, the country with the largest child population in the world.
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- Svedberg, Peter, et al.
(author)
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Long-term trends in the Real real prices of primary commodities : Inflation bias and the Prebisch-Singer hypothesis
- 2011
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In: Resources policy. - : Elsevier BV. - 0301-4207 .- 1873-7641. ; 36:1, s. 91-93
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Journal article (peer-reviewed)abstract
- In his recent article on measuring the long-term trends in the real prices of primary commodities, Cuddington (2010) extends in several important respects our earlier efforts (Svedberg and Tilton, 2006) to correct real commodity price trends for biases in the Consumer Price Index and other deflators. First, he argues for a log-linear relationship between prices and time. Second, he proposes a simple and quick method for obtaining corrected price trends from the published but uncorrected estimates. Finally, he illustrates, for the case of copper and presumably for many other commodities as well, the difficulties of obtaining real price trends significantly different from zero when the log values of the price data contain a unit root, requiring the use of difference stationary models. We welcome these insights, which should improve and make easier efforts to estimate correctly real commodity price trends over the long run. We would stress, however, that it is still important to correct for the biases in inflation indices, notwithstanding the failure of difference stationary models to obtain long-run real price trends (both corrected and uncorrected) significantly different from zero.
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