2011
DOI: 10.1515/roe-2011-0202
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Anthropometric within-country Inequality and the Estimation of Skill Premia with Anthropometric Indicators

Abstract: SummaryWe provide a literature review of anthropometric studies of within-country inequality. Then we discuss the relationship between skill premia and inequality indicators based on height variation. Skill premia describe the wage gap between an unskilled and a skilled building worker, while height CVs (coefficient of height variation) display the variance in net nutrition. We find that the two measures are correlated and that CV values are suitable to estimate skill premia. We supplement the existing literat… Show more

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Cited by 8 publications
(3 citation statements)
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“…An indication about the prevalence of such a problem can be drawn from the evolution of heights inequality among the population. The most relevant dataset is provided by Baten and Blum (2011) of the investigation is that if this differential is considerable, it will be driving height inequality upwards. If one combines the evolution of heights with the evolution of inequality in heights in the post-1940 period, there is no positive trend among inequality in heights and the level of heights for developing countries.…”
Section: Food Energymentioning
confidence: 99%
“…An indication about the prevalence of such a problem can be drawn from the evolution of heights inequality among the population. The most relevant dataset is provided by Baten and Blum (2011) of the investigation is that if this differential is considerable, it will be driving height inequality upwards. If one combines the evolution of heights with the evolution of inequality in heights in the post-1940 period, there is no positive trend among inequality in heights and the level of heights for developing countries.…”
Section: Food Energymentioning
confidence: 99%
“…Literature using the CV documented a wide degree of positive correlation between anthropometric and income inequality. In this sense, some studies [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ] support the use, under certain conditions, of anthropometric inequality as a proxy for economic inequality, especially in the absence of solid economic data. However, as much of this literature acknowledges, the relationship is far from being automatic and depends on other economic and non-economic factors, such as income levels (and especially poverty levels), relative prices, nutritional demands from diseases and physical workload.…”
Section: Introductionmentioning
confidence: 99%
“…An indication about the prevalence of such a problem can be drawn from the evolution of heights inequality among the population. The most relevant dataset is provided by Baten and Blum (2011) through the Clio Infra website. This dataset provides Gini coefficients for a large number of countries covering most of the recent 200 years.…”
Section: Food Energymentioning
confidence: 99%