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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
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