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Data reduction of discrete responses: an application of cluster analysis

Author

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  • Jeff Borland
  • Joe Hirschberg
  • Jenny Lye

Abstract

One form of data reduction is cluster analysis which is used to separate detailed data into constituent groups. This paper illustrates a useful application of cluster analysis to the data reduction of detailed discrete responses of a type that are often found in large surveys. This method is illustrated using the ABS Training and Education Experience Survey 1993a (TEES). This survey provides a detailed range of information on individuals' computer skills. The information given in the survey is simplified by using a form of cluster analysis to combine categories of computer ability and skills. Wage equations are estimated using different assumptions on the degree of clustering.

Suggested Citation

  • Jeff Borland & Joe Hirschberg & Jenny Lye, 2001. "Data reduction of discrete responses: an application of cluster analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 8(3), pages 149-153.
    • Handle: RePEc:taf:apeclt:v:8:y:2001:i:3:p:149-153
    DOI: 10.1080/13504850150504496
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    Cited by:

    1. 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.
    2. 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.
    3. Esfandiar Maasoumi & Le Wang, 2008. "Economic Reform, Growth and Convergence in China," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 128-154, March.
    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

    JEL classification:

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

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