Abstract
The Laeken indicators are a set of indicators for measuring poverty and social cohesion in Europe. However, some of these indicators are highly influenced by outliers in the upper tail of the income distribution. This paper investigates the use of robust Pareto tail modeling to reduce the influence of outlying observations. In a simulation study, different methods are evaluated with respect to their effect on the quintile share ratio and the Gini coefficient. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Alfons, A., Templ, M., Filzmoser, P., & Holzer, J. (2010). A comparison of robust methods for Pareto tail modeling in the case of Laeken indicators. In Advances in Intelligent and Soft Computing (Vol. 77, pp. 17–24). Springer Verlag. https://doi.org/10.1007/978-3-642-14746-3_3
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