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Estimaciones paramétricas y no paramétricas del ingreso de los ocupados del Gran Buenos Aires

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  • Patricia Botargués

    (Ministerio de Economía y Obras y Servicios Públicos)

  • Diego Petrecolla

    (Instituto y Universidad Torcuato Di Tella)

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    Abstract

    In order to analyze the income distribution of the employed population in Great Buenos Aires the Dagum types I and II, Lognormal and Singh and Maddala Models were adjusted with 1992-1997 income data from the Permanent Household Survey. The probability density function was also estimated with the Kernel Method, which is a non parametric technique. To compare the goodness of fit of the estimated models a set of indicators proposed by Dagum (1980a) was used. Dagum types I and II and Singh and Maddala Models fitted the data between 1992-1997. The Lognormal distribution fitted the data in 1996 and 1997. The non-parametric estimations showed less concentration for the lower income groups and a higher degree of concentration for middle income groups than the estimated models.

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    Bibliographic Info

    Article provided by Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata in its journal Económica.

    Volume (Year): XLV (1999)
    Issue (Month): 1 (January-June)
    Pages: 13-34

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    Handle: RePEc:lap:journl:449

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