Advanced Search
MyIDEAS: Login

How to Bootstrap DEA Estimators: A Monte Carlo Comparison

Contents:

Author Info

  • Löthgren, Mickael

    ()
    (Dept. of Economic Statistics, Stockholm School of Economics)

Registered author(s):

    Abstract

    This paper evaluates the performance of three bootstrap algorithms for the data envelopment analysis (DEA) estimator using a Monte Carlo simulation study. The Löthgren and Tambour (1997) (LT) algorithm; the Simar and Wilson (1997b) (SW) algorithm; and a combination of the LT and SW algorithms (the LSW-algorithm) are considered in the study. The empirical coverage accuracy of bootstrap confidence intervals are simulated under both variable returns to scale (VRS) and constant return-to-scale (CRS) restricted DEA estimators. The results indicate that the LSW-algorithm performs slightly better than the LT-algorithm, which in turn performs better than the SW-algorithm.

    Download Info

    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: http://swopec.hhs.se/hastef/papers/hastef0223.pdf.zip
    Download Restriction: no

    File URL: http://swopec.hhs.se/hastef/papers/hastef0223.pdf
    Download Restriction: no

    File URL: http://swopec.hhs.se/hastef/papers/hastef0223.ps.zip
    Download Restriction: no

    File URL: http://swopec.hhs.se/hastef/papers/hastef0223.ps
    Download Restriction: no

    Bibliographic Info

    Paper provided by Stockholm School of Economics in its series Working Paper Series in Economics and Finance with number 223.

    as in new window
    Length: 22 pages
    Date of creation: 10 Feb 1998
    Date of revision:
    Handle: RePEc:hhs:hastef:0223

    Contact details of provider:
    Postal: The Economic Research Institute, Stockholm School of Economics, P.O. Box 6501, 113 83 Stockholm, Sweden
    Phone: +46-(0)8-736 90 00
    Fax: +46-(0)8-31 01 57
    Email:
    Web page: http://www.hhs.se/
    More information through EDIRC

    Related research

    Keywords: Bootstrap; Confidence Intervals; Data Envelopment Analysis; Monte Carlo Simulation;

    Find related papers by JEL classification:

    References

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

    Citations

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

    Cited by:
    1. Carlos Barros & Pedro Garcia-del-Barrio, 2011. "Productivity drivers and market dynamics in the Spanish first division football league," Journal of Productivity Analysis, Springer, vol. 35(1), pages 5-13, February.

    Lists

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

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:hhs:hastef:0223. 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: (Helena Lundin).

    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.