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Data Reduction of Discrete Responses: An Application of Cluster Analysis

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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.

Suggested Citation

  • Borland, J. & Hirschberg, J. & Lye, J., 1998. "Data Reduction of Discrete Responses: An Application of Cluster Analysis," Department of Economics - Working Papers Series 664, The University of Melbourne.
    • Handle: RePEc:mlb:wpaper:664
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    Cited by:

    1. Esfandiar Maasoumi & Le Wang, 2008. "Economic Reform, Growth and Convergence in China," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 128-154, March.
    2. Don J. Webber & Andrew Mearman, 2012. "Students’ perceptions of economics: identifying demand for further study," Applied Economics, Taylor & Francis Journals, vol. 44(9), pages 1121-1132, March.
    3. Jeff Borland & Joseph Hirschberg & Jenny Lye, 2004. "Computer knowledge and earnings: evidence for Australia," Applied Economics, Taylor & Francis Journals, vol. 36(17), pages 1979-1993.
    4. Roma Debnath & Ravi Shankar, 2014. "Does Good Governance Enhance Happiness: A Cross Nation Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 235-253, March.

    More about this item

    Keywords

    CORRELATION ANALYSIS ; ECONOMETRICS ; REGRESSION ANALYSIS;
    All these keywords.

    JEL classification:

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

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