IDEAS home Printed from https://ideas.repec.org/a/akh/journl/449.html
   My bibliography  Save this article

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, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(1), pages 13-34, January-J.
  • Handle: RePEc:akh:journl:449
    as

    Download full text from publisher

    File URL: https://revistas.unlp.edu.ar/Economica/article/view/8890/7731
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:akh:journl:449. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Laura Carella (email available below). General contact details of provider: https://edirc.repec.org/data/funlpar.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.