IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-18-00917.html
   My bibliography  Save this article

Endogenous Inputs and Environmental Variables in Battese and Coelli's (1995) Stochastic Frontier Model

Author

Listed:
  • Takahiro Tsukamoto

    (Graduate School of Economics, Nagoya University)

Abstract

This study provides a guideline for dealing with endogenous inputs and environmental variables in Battese and Coelli's (1995) stochastic frontier model, which has been used in a vast number of empirical studies. The presence of endogenous variables in Battese and Coelli's model leads to inconsistent parameter estimates; also, estimates in the studies that use their model may be biased. Our model uses limited information maximum likelihood methods to correct these biases. The Monte Carlo simulations provided in this article show that our estimators perform well.

Suggested Citation

  • Takahiro Tsukamoto, 2019. "Endogenous Inputs and Environmental Variables in Battese and Coelli's (1995) Stochastic Frontier Model," Economics Bulletin, AccessEcon, vol. 39(3), pages 2228-2236.
  • Handle: RePEc:ebl:ecbull:eb-18-00917
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2019/Volume39/EB-19-V39-I3-P209.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Endogeneity; Environmental variables; Stochastic frontier analysis (SFA); Technical efficiency; Battese–Coelli estimator;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • D2 - Microeconomics - - Production and Organizations

    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:ebl:ecbull:eb-18-00917. 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: John P. Conley (email available below). General contact details of provider: .

    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.