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

Patricia Botargués and Diego Petrecolla
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Patricia Botargués: Ministerio de Economía y Obras y Servicios Públicos
Diego Petrecolla: Instituto y Universidad Torcuato Di Tella

Económica, 1999, vol. XLV, issue 1, 13-34

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.

JEL-codes: C52 D31 (search for similar items in EconPapers)
Date: 1999
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Persistent link: https://EconPapers.repec.org/RePEc:akh:journl:449

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