IDEAS home Printed from https://ideas.repec.org/a/nwe/eajour/y2011i1p22-33.html
   My bibliography  Save this article

About the Measures of Skewness and Kurtosis

Author

Listed:
  • Todor Kaloyanov

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

This article sets forth a comparative analysis of five coefficients measuring the degree of skewness in empirical statistic distributions. The coefficients are calculated for the distributions of live-births as per the age of the mother. The data are in total for Bulgaria, respectively for all children born, for first and second child during the period from 1961 to 2008. A discussion is presented as regards the cognitive meaning and reasons for variation in their values. The link between skewness and kurtosis is being examined and the necessity of their joint use is being justified given, the existence of empirical distributions that are not subject to the law of Laplace – Gauss. Unlike the predominant practice to place the focus of attention mostly on kurtosis in symmetrical distributions, the opposite task is set here – to analyze the existence of skewness given a different degree of kurtosis.

Suggested Citation

  • Todor Kaloyanov, 2011. "About the Measures of Skewness and Kurtosis," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 22-33, Janyary.
    • Handle: RePEc:nwe:eajour:y:2011:i:1:p:22-33
    as

    Download full text from publisher

    File URL: http://www.unwe.bg/uploads/Alternatives/Article03_01.2011.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    statistical distribution; skewness coefficient; excess kurtosis coefficient;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - 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:nwe:eajour:y:2011:i:1:p:22-33. 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: Vanya Lazarova (email available below). General contact details of provider: https://edirc.repec.org/data/unweebg.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.