IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v46y2017i17p8631-8646.html
   My bibliography  Save this article

Elasticity function of a discrete random variable and its properties

Author

Listed:
  • Ernesto J. Veres-Ferrer
  • Jose M. Pavía

Abstract

Elasticity (or elasticity function) is a new concept that allows us to characterize the probability distribution of any random variable in the same way as characteristic functions and hazard and reverse hazard functions do. Initially defined for continuous variables, it was necessary to extend the definition of elasticity and study its properties in the case of discrete variables. A first attempt to define discrete elasticity is seen in Veres-Ferrer and Pavía (2014a). This paper develops this definition and makes a comparative study of its properties, relating them to the properties shown by discrete hazard and reverse hazard, as both defined in Chechile (2011). Similar to continuous elasticity, one of the most interesting properties of discrete elasticity focuses on the rate of change that this undergoes throughout its support. This paper centers on the study of the rate of change and develops a set of properties that allows us to carry out a detailed analysis. Finally, it addresses the calculation of the elasticity for the resulting variable obtained from discretizing a continuous random variable, distinguishing whether its domain is in real positives or negatives.

Suggested Citation

  • Ernesto J. Veres-Ferrer & Jose M. Pavía, 2017. "Elasticity function of a discrete random variable and its properties," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(17), pages 8631-8646, September.
  • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:17:p:8631-8646
    DOI: 10.1080/03610926.2016.1186190
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2016.1186190
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2016.1186190?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

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


    Cited by:

    1. Ernesto-Jesús Veres-Ferrer & Jose M. Pavía, 2022. "The Elasticity of a Random Variable as a Tool for Measuring and Assessing Risks," Risks, MDPI, vol. 10(3), pages 1-38, March.

    More about this item

    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:taf:lstaxx:v:46:y:2017:i:17:p:8631-8646. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    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.