On the Consistency of the DEA-based Average Technical Efficiency Bootstrap
This paper shows that the bootstrap algorithm for average technical efficiency by Atkinson and Wilson (1995) should be applied with great care for the Data Envelopment Analysis (DEA) estimator if the production frontier is stochastic. A stochastic frontier implies that the DEA estimator is inconsistent, which in turn leads to inconsistent and potentially highly misleading bootstrap confidence intervals. A Monte Carlo simulation study reveals that the bootstrap confidence interval coverage accuracy goes to zero as the sample size increases, even for small contributions of frontier variance to total frontier and efficiency variance.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||05 Aug 1997|
|Date of revision:|
|Publication status:||Published in Applied Economics Letters, 2000, pages 53-57.|
|Contact details of provider:|| Postal: |
Phone: +46-(0)8-736 90 00
Fax: +46-(0)8-31 01 57
Web page: http://www.hhs.se/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:hhs:hastef:0179. 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)The email address of this maintainer does not seem to be valid anymore. Please ask Helena Lundin to update the entry or send us the correct address
If references are entirely missing, you can add them using this form.