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Estimación de la función de distribución y cuantiles en la población de pobres/Estimation of the Distribution Function and Quantiles for the Population of Poor

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  • ÁLVAREZ-VERDEJO, ENCARNACIÓN

    () (Departamento de Métodos Cuantitativos para la Economía y la Empresa, UNIVERSIDAD DE GRANADA, ESPAÑA.)

  • ESTUDILLO-MARTÍNEZ, MARÍA DOLORES

    () (Departamento de Estadística e Investigación Operativa, UNIVERSIDAD DE JAÉN, ESPAÑA.)

  • CASTILLO-GUTIÉRREZ, SONIA

    () (Departamento de Estadística e Investigación Operativa, UNIVERSIDAD DE JAÉN, ESPAÑA.)

Abstract

La línea o umbral de pobreza es un indicador económico que permite clasificar a los individuos de una población como pobres o no. Los estudios del fenómeno de la pobreza prestan especial atención a la población de pobres, midiendo a partir de distintos indicadores la distribución y la intensidad de los pobres. Tales indicadores están basa¬dos en su mayoría en la función de distribución y en cuantiles. En este trabajo se plantea la estimación de estos parámetros en la población de pobres, y los estimadores presentados se evalúan numéricamente mediante estudios de simulación Monte Carlo y con datos extraídos de la Encuesta de Presupuestos Familiares. The poverty line is an economic indicator that divides a population into poor and non poor. Studies about poverty are highly interested on the population of poor, hence they measure the distribution and intensity of the poor through different indicators. Such indicators are generally based upon the distribution function and quantiles. Assuming an arbitrary sampling design, the estimation of the previous parameters is discussed in this paper. Proposed estimators are numerically evaluated via Monte Carlo simulation studies and using data extracted from the Spanish Household Panel Survey.

Suggested Citation

  • Álvarez-Verdejo, Encarnación & Estudillo-Martínez, María Dolores & Castillo-Gutiérrez, Sonia, 2012. "Estimación de la función de distribución y cuantiles en la población de pobres/Estimation of the Distribution Function and Quantiles for the Population of Poor," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 30, pages 1063(26.)-1, Diciembre.
  • Handle: RePEc:lrk:eeaart:30_3_3
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    References listed on IDEAS

    as
    1. Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-764, July.
    2. Carlos Gradín & Olga Cantó & Coral del Río, 2008. "Inequality, poverty and mobility: Choosing income or consumption as welfare indicators," Investigaciones Economicas, Fundación SEPI, vol. 32(2), pages 169-200, May.
    3. Jacques Silber, 2007. "Measuring poverty: taking a multidimensional perspective," Hacienda Pública Española, IEF, vol. 182(3), pages 29-74, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Línea de pobreza; diseño muestral; coeficiente de asimetría; simulación Monte Carlo ; Poverty Line; Sampling Design; Skewness Coefficient; Monte Carlo Simulation.;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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