IDEAS home Printed from https://ideas.repec.org/a/jid/journl/y2010v19i1p20-32.html
   My bibliography  Save this article

Information matrix test An application using Pareto’s original income distribution data

Author

Listed:
  • Enlinson Mattos

    (Escola de Economia de São Paulo da Fundação Getulio Vargas)

  • Vladimir Ponczek

    (Escola de Economia de São Paulo da Fundação Getulio Vargas)

Abstract

This article attempts to apply and interpret the correspondent Identification Matrix test (White, 1982) for a Pareto type I distribution. One of the most cited datasets used by Pareto, England’s income distribution in 1843 and in 1879, is used. Our results suggest that an alternative hypothesis, one of random coefficients cannot be accepted, i.e., we are not able to reject the hypothesis that the empirical income of England is a Pareto type I distribution.

Suggested Citation

  • Enlinson Mattos & Vladimir Ponczek, 2010. "Information matrix test An application using Pareto’s original income distribution data," Journal of Income Distribution, Ad libros publications inc., vol. 19(1), pages 20-32, March.
    • Handle: RePEc:jid:journl:y:2010:v:19:i:1:p:20-32
    as

    Download full text from publisher

    File URL: http://pi.library.yorku.ca/ojs/index.php/jid/article/viewFile/25590/23747
    Download Restriction: Some fulltext downloads are only available to subscribers. See JID website for details.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    income distribution; misspecification hypothesis test; Pareto Distribution;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions

    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:jid:journl:y:2010:v:19:i:1:p:20-32. 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: Timm Boenke (email available below). General contact details of provider: https://edirc.repec.org/data/gyorkca.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.