Data reduction of discrete responses: an application of cluster analysis

Jeff Borland, Joseph Hirschberg and Jeanette Lye

Applied Economics Letters, 2001, vol. 8, issue 3, 149-153

Abstract: One form of data reduction is cluster analysis which is used to separate detailed data into constituent groups. This paper illustrates a useful application of cluster analysis to the data reduction of detailed discrete responses of a type that are often found in large surveys. This method is illustrated using the ABS Training and Education Experience Survey 1993a (TEES). This survey provides a detailed range of information on individuals' computer skills. The information given in the survey is simplified by using a form of cluster analysis to combine categories of computer ability and skills. Wage equations are estimated using different assumptions on the degree of clustering.

Date: 2001
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.informaworld.com/openurl?genre=article& ... 40C6AD35DC6213A474B5 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Data Reduction of Discrete Responses: An Application of Cluster Analysis (1998)
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:taf:apeclt:v:8:y:2001:i:3:p:149-153

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504850150504496

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().