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Análisis de la evolución temporal de las desigualdades con datos irregulares || Analyzing the Income Inequalities with Irregular Time Series

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  • Callealta Barroso, Francisco Javier

    (Departamento de Estadística Económica, Estructura Económica y O.E.I. Universidad de Alcalá de Henares)

  • Fedriani Martel, Eugenio M.

    (Departamento de Economía, Métodos Cuantitativos e Historia Económica. Universidad Pablo de Olavide, de Sevilla (España))

  • Martín Caraballo, Ana M.

    (Departamento de Economía, Métodos Cuantitativos e Historia Económica. Universidad Pablo de Olavide, de Sevilla (España))

  • Sánchez Sánchez, Ana María

    (Departamento de Economía, Métodos Cuantitativos e Historia Económica. Universidad Pablo de Olavide, de Sevilla (España))

Abstract

En este artículo se proporciona una herramienta que permite estudiar las distribuciones de renta en una población a lo largo del tiempo, sin importar que los datos se distribuyan de forma irregular. Incluso, se posibilita la aproximación de curvas de Lorenz en instantes en los que no se cuenta con los datos necesarios. Finalmente, se presenta un ejemplo de aplicación de la técnica en un país europeo en que las desigualdades son especialmente relevantes: España. || This article provides a tool to study over time the distributions of income in a population, regardless the irregular distribution of data. We even approach Lorenz curves at the times when we lack the required data. Finally we apply the present technique to a European country where inequalities are particularly relevant: Spain.

Suggested Citation

  • Callealta Barroso, Francisco Javier & Fedriani Martel, Eugenio M. & Martín Caraballo, Ana M. & Sánchez Sánchez, Ana María, 2012. "Análisis de la evolución temporal de las desigualdades con datos irregulares || Analyzing the Income Inequalities with Irregular Time Series," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 13(1), pages 73-96, June.
    • Handle: RePEc:pab:rmcpee:v:13:y:2012:i:1:p:73-96
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    References listed on IDEAS

    as
    1. Christian Schluter & Mark Trede, 2002. "Statistical Inference for Inequality and Poverty Measurement with Dependent Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(2), pages 493-508, May.
    2. Jean-Yves Duclos & Abdelkrim Araar, 2006. "Poverty and Equity," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-0-387-33318-2, July.
    3. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    4. Sen, Amartya, 1973. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198281931.
    5. Schluter, Christian & Trede, Mark, 2002. "Tails of Lorenz curves," Journal of Econometrics, Elsevier, vol. 109(1), pages 151-166, July.
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    More about this item

    Keywords

    curva de Lorenz; índice de Gini; series temporales irregulares; distribución de la renta; Lorenz curve; Gini index; irregular time series; income distribution.;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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