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Un análisis de la desigualdad de la renta entre las provincias andaluzas, a partir de los datos de la E.B.P.F. y de renta corregidos (1990-91), utilizando estimaciones de combinaciones lineales convexas de curvas de Lorenz

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Author Info
HERRERÍAS PLEGUEZUELO, R. () (Departamento de Economía Aplicada. Facultad de Ciencias Económicas y Empresariales. Universidad de Granada.)
GARCÍA FERNÁNDEZ, R. Mª () (Departamento de Economía Aplicada. Facultad de Ciencias Económicas y Empresariales. Universidad de Granada.)
Abstract

En este trabajo, en primer lugar, se estudian determinadas especificaciones de la curva de Lorenz quecumplen simultáneamente el teorema de Casas y Núñez (1987), se derivan del concepto de función generadora de curva de Lorenz (Callejón, 1995) y pueden estimarse por mínimos cuadrados ordinarios. En segundo lugar, se completa la demostración de que cualquier combinación lineal convexa de n curvas de Lorenz, cumple el teorema de Casas y Núñez (1987). En tercer lugar, se han estimado por mínimos cuadrados ordinarios, aquellas combinaciones lineales convexas de curvas de Lorenz que cumplen las anteriores condiciones. Estas estimaciones se han realizado para Andalucía, para lo cual se han utilizado los datos suministrados por la E.B.P.F. 1990-91 y los datos de renta corregidos según la tasa de ocultación progresiva determinada por Pena y otros (1996). Tras seleccionar aquella combinación lineal en la que la diferencia entre el índice de Gini empírico y estimado es menor, tanto con los datos de la E.B.P.F., como con los datos de renta corregidos, se han realizado las dieciséis estimaciones provinciales. Finalmente, en función de los índices de Gini se ha estudiado la desigualdad de la concentración de la renta en las provincias andaluzas y en función de ello, se ha establecido un orden entre éstas. In this paper, firstly, different functional forms of the Lorenz curve are studied, which satisfy Casas and Núñez’s (1987) theorem, they can be obtained using Lorenz curve generator function and finally can be estimated by the method of the least square.Secondly, it is demonstrated that all lineal convex combinations of n Lorenz curves verify the Casas and Nuñez’s (1987) theorem.Thirdly, the combinations of Lorenz curves which satisfy the previous conditions have been estimated by least square. The Lorenz curve have been estimated using data from Andalusia. These data have been provided by the E.B.P.F. 1990-91 and Pena at al. work (1996).After selecting the lineal combination in which the difference between the Gini empirical index and the estimated one is the smallest, for both types of data, have been estimated the Lorenz curve for provinces of Andalusia. Finally using the Gini index has been studied the concentration of the income, and with this information the provinces have been ordered.

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Article provided by Estudios de Economía Aplicada in its journal Estudios de Economía Aplicada.

Volume (Year): 19 (2001)
Issue (Month): (Diciembre)
Pages: 21-36
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Handle: RePEc:lrk:eeaart:19_3_12

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Related research
Keywords: Income inequality; Lorenz curves generator function; lineal convex combination of Lorenz curves; Gini index.;

Find related papers by JEL classification:
C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Econometric and Statistical Methods; Specific Distributions
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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  1. Kakwani, N C & Podder, N, 1973. "On the Estimation of Lorenz Curves from Grouped Observations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 278-92, June. [Downloadable!] (restricted)
  2. Kakwani, Nanak C & Podder, N, 1976. "Efficient Estimation of the Lorenz Curve and Associated Inequality Measures from Grouped Observations," Econometrica, Econometric Society, vol. 44(1), pages 137-48, January. [Downloadable!] (restricted)
  3. Kakwani, Nanak, 1980. "Functional Forms for Estimating the Lorenz Curve: A Reply," Econometrica, Econometric Society, vol. 48(4), pages 1063-64, May. [Downloadable!] (restricted)
  4. Gupta, Manash Ranjan, 1984. "Functional Form for Estimating the Lorenz Curve," Econometrica, Econometric Society, vol. 52(5), pages 1313-14, September. [Downloadable!] (restricted)
  5. Basmann, R. L. & Hayes, K. J. & Slottje, D. J. & Johnson, J. D., 1990. "A general functional form for approximating the Lorenz curve," Journal of Econometrics, Elsevier, vol. 43(1-2), pages 77-90. [Downloadable!] (restricted)
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