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MULTIFRACTAL CHARACTERIZATION OF SPATIAL INCOME CURDLING: THEORY AND APPLICATIONS

Francisco Rosales (), Adolfo Posadas () and Roberto Quiroz ()
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Francisco Rosales: Production Systems and the Environment Division, International Potato Center, Av. La Molina 1895, Lima 12, Peru
Adolfo Posadas: Production Systems and the Environment Division, International Potato Center, Av. La Molina 1895, Lima 12, Peru; Facultad de Ciencias Físicas, DAFI, Universidad Nacional Mayor de San Marcos, Av. Venezuela Cdra 4, Lima 1, Peru
Roberto Quiroz: Production Systems and the Environment Division, International Potato Center, Av. La Molina 1895, Lima 12, Peru

Advances in Complex Systems (ACS), 2008, vol. 11, issue 06, pages 861-874

Abstract: A spatial curdling index $(\mathcal{C})$ is presented for studying income concentration in two-dimensional fields originated by a cascade process, resembling resource allocation maps. Computational simulations of spatial distributions show that the relation between $\mathcal{C}$ and measures of income inequality such as the Gini coefficient $(\mathcal{G})$ forms a concave area. Acknowledgment of this fact brings additional information for formulating geopolitical strategies for income inequality reduction, and for comparison purposes in a set of countries or across time within a country. With the aim of showing the importance of index $\mathcal{C}$, a prototype of the empirical application is shown based on the Peruvian and Swedish income maps.

Keywords: Resource allocation maps; cascade processes; Gini coefficient (search for similar items in EconPapers)
Date: 2008

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