Un Índice de Desigualdad Regional usando Datos Agregados

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