IDEAS home Printed from https://ideas.repec.org/a/ids/gbusec/v20y2018i1p126-139.html
   My bibliography  Save this article

Stochastic frontier models with flexible random coefficients

Author

Listed:
  • Mike G. Tsionas

Abstract

We propose a stochastic frontier model with random coefficients having a flexible distribution. The distribution is modelled non-parametrically. It is shown that maximum likelihood estimation reduces to a fixed-point problem. A fixed-point iteration is proposed and we show that there is a unique regular fixed point. The fixed-point iteration is used in the context of MCMC to perform inferences for all unknown parameters including the optimal support of the distribution of random coefficients.

Suggested Citation

  • Mike G. Tsionas, 2018. "Stochastic frontier models with flexible random coefficients," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 20(1), pages 126-139.
    • Handle: RePEc:ids:gbusec:v:20:y:2018:i:1:p:126-139
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=88487
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:gbusec:v:20:y:2018:i:1:p:126-139. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=168 .

    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.