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Un Índice de Desigualdad Regional usando Datos Agregados
[A Regional Inequality Index using Aggregated Data]

Author

Listed:
  • German-Soto, Vicente

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.

Suggested Citation

  • German-Soto, Vicente, 2016. "Un Índice de Desigualdad Regional usando Datos Agregados [A Regional Inequality Index using Aggregated Data]," MPRA Paper 71876, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:71876
    as

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    References listed on IDEAS

    as
    1. Germán-Soto, Vicente, 2005. "Generación del producto interno bruto mexicano por entidad federativa, 1940-1992," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(287), pages 617-653, julio-sep.
    2. Louis Kaplow, 2005. "Why measure inequality?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 3(1), pages 65-79, April.
    3. Vicente German-Soto & Chapa Cantú, 2015. "Cointegration with structural changes between per capita product and income inequality in Mexico," Applied Economics, Taylor & Francis Journals, vol. 47(49), pages 5215-5228, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    regional income inequality; Euclidian distance; data analysis; development index; per capita product;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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