Identifying Outliers in Multi-Output Models

Kevin Fox, Robert Hill () and Walter Diewert

Journal of Productivity Analysis, 2004, vol. 22, issue 1, 73-94

Abstract: A firm may be different from other firms either in terms of the mix or scale of its input-output vector. This paper develops separate mix and scale measures of dissimilarity, and shows that these can be additively aggregated into a measure of absolute dissimilarity. The mix measure is particularly relevant in the context of frontier analysis since it will identify the firms that exert the most influence on the resulting efficiency scores. Copyright Kluwer Academic Publishers 2004

Keywords: outliers; dissimilarity indexes; extreme observations; Frontier analysis; efficiency (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
http://hdl.handle.net/10.1023/B:PROD.0000034692.22162.e8 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:jproda:v:22:y:2004:i:1:p:73-94

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2

DOI: 10.1023/B:PROD.0000034692.22162.e8

Access Statistics for this article

Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski

More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().