IDEAS home Printed from https://ideas.repec.org/a/emx/esteco/v27y2012i2p273-293.html
   My bibliography  Save this article

Ajuste del ingreso en México con un enfoque bayesiano

Author

Listed:
  • Fredy Yair Montes Rivera

    (Colegio de Postgraduados)

  • Paulino Pérez Rodríguez

    (Colegio de Postgraduados)

  • Sergio Pérez Elizalde

    (Colegio de Postgraduados)

Abstract

In this work, three distributions are proposed (Pareto, Lognormal and Dagum) to model the income of Mexican population, by using the Bayesian approach. It was found that the Dagum model was the one that best describes the data. The posterior distributions of the quantities of interest were obtained by using Markov Chain Monte Carlo methods. The analysis was done by using data from the years 1998, 2002 and 2008. The results shown that the distribution income is quite unequal, which is not in agreement with the results reported by Centro de Estudios de las Finanzas Públicas, H. Cámara de Diputados.

Suggested Citation

  • Fredy Yair Montes Rivera & Paulino Pérez Rodríguez & Sergio Pérez Elizalde, 2012. "Ajuste del ingreso en México con un enfoque bayesiano," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 27(2), pages 273-293.
    • Handle: RePEc:emx:esteco:v:27:y:2012:i:2:p:273-293
    as

    Download full text from publisher

    File URL: https://estudioseconomicos.colmex.mx/index.php/economicos/article/view/90/92
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Pareto; Lognormal; Dagum distributions; algorithm; Gini's coefficient; Lorenz's curve.;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    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:emx:esteco:v:27:y:2012:i:2:p:273-293. 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: Ximena Varela (email available below). General contact details of provider: https://edirc.repec.org/data/cecolmx.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.