IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

A Statistical Framework for Estimating Output-Specific Efficiencies

  • Dieter Gstach


    (Department of Economics, Vienna University of Economics & B.A.)

Registered author(s):

    This paper presents a statistical framework for estimating output-specific efficiencies for the 2-output case based upon a DEA frontier estimate. The key to the approach is the concept of target output-mix. Being usually unobserved, target output-mixes of firms are modelled as missing data. Using this concept the relevant data generating process can be formulated. The resulting likelihood function is analytically intractable, so a data augmented Bayesian approach is proposed for estimation purposes. This technique is adapted to the present purpose. Some implementation issues are discussed leading to an empirical Bayes setup with data informed priors. A prove of scale invariance is provided.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Our checks indicate that this address may not be valid because: 404 Not Found ( [301 Moved Permanently]--> [301 Moved Permanently]--> If this is indeed the case, please notify (Department of Economics)

    Download Restriction: no

    Paper provided by Vienna University of Economics and Business, Department of Economics in its series Department of Economics Working Papers with number wuwp083.

    in new window

    Date of creation: Feb 2003
    Date of revision:
    Handle: RePEc:wiw:wiwwuw:wuwp083
    Note: PDF Document
    Contact details of provider: Postal: Welthandelsplatz 1, 1020 Vienna, Austria
    Web page:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:wiw:wiwwuw:wuwp083. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Department of Economics)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.