Data Reduction of Discrete Responses: An Application of Cluster Analysis

Jeff Borland, Joseph Hirschberg and Jeanette Lye

No 664, Department of Economics - Working Papers Series from The University of Melbourne

Abstract: One form of data reduction is cluster analysis which is used to separate detailed data into consistuent groups. In this paper we illustrate a useful application of cluster analysis to the data reduction of detailed discrete responses of a type that are often found in large surveys.

Keywords: CORRELATION ANALYSIS; ECONOMETRICS; REGRESSION ANALYSIS (search for similar items in EconPapers)
JEL-codes: C10 (search for similar items in EconPapers)
Pages: 15 pages
Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Data reduction of discrete responses: an application of cluster analysis (2001)
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:mlb:wpaper:664

Access Statistics for this paper

More papers in Department of Economics - Working Papers Series from The University of Melbourne Department of Economics, The University of Melbourne, 4th Floor, FBE Building, Level 4, 111 Barry Street. Victoria, 3010, Australia. Contact information at EDIRC.
Bibliographic data for series maintained by Dandapani Lokanathan ().