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Data Reduction of Discrete Responses: An Application of Cluster Analysis

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Author Info
Borland, J.
Hirschberg, J.
Lye, J.

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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.

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Publisher Info
Paper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 664.

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Length: 15 pages
Date of creation: 1998
Date of revision:
Handle: RePEc:mlb:wpaper:664

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Postal: Department of Economics, The University of Melbourne, 5th Floor, Economics and Commerce Building, Victoria, 3010, Australia
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Web page: http://www.economics.unimelb.edu.au
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Related research
Keywords: CORRELATION ANALYSIS ; ECONOMETRICS ; REGRESSION ANALYSIS;

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C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General

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  1. Maasoumi, Esfandiar & Wang, Le, 2006. "Economic Reform, Growth and Convergence in China," Departmental Working Papers 0602, Southern Methodist University, Department of Economics. [Downloadable!]
    Other versions:
  2. Jeff Borland & Joseph Hirschberg & Jenny Lye, 2004. "Computer knowledge and earnings: evidence for Australia," Applied Economics, Taylor and Francis Journals, vol. 36(17), pages 1979-1993, September. [Downloadable!] (restricted)
    Other versions:
Statistics
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