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

Author

Listed:
  • Patricia Botargués

    (Ministerio de Economía y Obras y Servicios Públicos)

  • Diego Petrecolla

    (Instituto y Universidad Torcuato Di Tella)

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.

Suggested Citation

  • Patricia Botargués & Diego Petrecolla, 1999. "Estimaciones paramétricas y no paramétricas del ingreso de los ocupados del Gran Buenos Aires," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(1), pages 13-34, January-J.
    • Handle: RePEc:lap:journl:449
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    Citations

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    Cited by:

    1. Walter Sosa-Escudero & Sergio Petralia, 2011. "Anatomy of Distributive Changes in Argentina," Chapters, in: Werner Baer & David Fleischer (ed.), The Economies of Argentina and Brazil, chapter 10, Edward Elgar Publishing.
    2. Leonardo Gasparini & Walter Sosa, 2001. "Assessing Aggregate Welfare: Growth and Inequality in Argentina," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 38(113), pages 49-71.

    More about this item

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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