Un Índice de Desigualdad Regional usando Datos Agregados

A Regional Inequality Index using Aggregated Data

Vicente German-Soto ()

MPRA Paper from University Library of Munich, Germany

Abstract: This work considers the Euclidean distance concept to assess the evolution of regional disparities from aggregate data, such as for example, the per capita output. The vector space concept, as a measure of inequality, presents interesting properties: it tends to zero when the distances are reduced, is equal to zero in the hypothetical case of absolute equality and considers the contribution of each element to the joint inequality. The exercise generates an individual inequality index for the Mexican states along 1940-2010 that may be attractive in many respects, for example, in methodologies testing stochastic convergence, in regional economic growth, to determine the effectiveness of policies aimed to reduce the regional differences, among others.

Keywords: regional income inequality; Euclidian distance; data analysis; development index; per capita product (search for similar items in EconPapers)
JEL-codes: C82 O11 R12 (search for similar items in EconPapers)
Date: 2016-06-08
New Economics Papers: this item is included in nep-net
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Related works:
Working Paper: Un Índice de Desigualdad Regional usando Datos Agregados (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:71736

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