IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v31y2004i7p747-752.html
   My bibliography  Save this article

A Note on an Approximation of the Mobile Communications Expenditures Distribution Function Using a Mixture Model

Author

Listed:
  • Seung-Hoon Yoo

Abstract

Approximating the distribution of mobile communications expenditures (MCE) is complicated by zero observations in the sample. To deal with the zero observations by allowing a point mass at zero, a mixture model of MCE distributions is proposed and applied. The MCE distribution is specified as a mixture of two distributions, one with a point mass at zero and the other with full support on the positive half of the real line. The model is empirically verified for individual MCE survey data collected in Seoul, Korea. The mixture model can easily capture the common bimodality feature of the MCE distribution. In addition, when covariates were added to the model, it was found that the probability that an individual has non-expenditure significantly varies with some variables. Finally, the goodness-of-fit test suggests that the data are well represented by the mixture model.

Suggested Citation

  • Seung-Hoon Yoo, 2004. "A Note on an Approximation of the Mobile Communications Expenditures Distribution Function Using a Mixture Model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 747-752.
    • Handle: RePEc:taf:japsta:v:31:y:2004:i:7:p:747-752
    DOI: 10.1080/0266476042000214475
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/0266476042000214475
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0266476042000214475?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. Seung-Hoon Yoo & Hye-Seon Moon, 2008. "A note on approximation of distribution function for the number of innovation activities," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(3), pages 445-452, December.
    2. Cook, Douglas O. & Kieschnick, Robert & McCullough, B.D., 2008. "Regression analysis of proportions in finance with self selection," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 860-867, December.
    3. Owen, Sian & Yawson, Alfred, 2013. "Information asymmetry and international strategic alliances," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3890-3903.
    4. Francesco Mariotti & Karen Mumford & Yolanda Pena-Boquete, 2015. "Household Asset-Holding Diversification in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 48(1), pages 43-64, March.
    5. Ospina, Raydonal & Ferrari, Silvia L.P., 2012. "A general class of zero-or-one inflated beta regression models," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1609-1623.

    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:japsta:v:31:y:2004:i:7:p:747-752. 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/CJAS20 .

    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.