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
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
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Journal Article: Data reduction of discrete responses: an application of cluster analysis (2001)
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Persistent link: https://EconPapers.repec.org/RePEc:mlb:wpaper:664
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