A Nonparametric Analysis of Production Models with Multidimensional Quality
This article proposes a methodology to measure the characteristics of intermediate products when quality is multidimensional. It uses a general representation of the multioutput technology via directional distance functions and constructs quality indicators based on differences rather than ratios. The quality indicators may be used to evaluate firms’ output, taking into account the whole set of quality attributes. The paper explores how aggregate quality may vary with the production level and finds a trade-off between quantity and aggregate quality in wine grapes. Copyright 2007, Oxford University Press.
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 91 (2007)
Issue (Month): 3 ()
|Contact details of provider:|| Postal: |
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:oup:ajagec:v:91:y:2007:i:3:p:751-764. 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: (Oxford University Press)or (Christopher F. Baum)
If references are entirely missing, you can add them using this form.