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Analyzing Income Distribution in Australia

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  • G. A. MEAGHER
  • PETER B. DIXON

Abstract

This paper contains an analysis of the sources of income inequality in Australia, based on data from the ABS income survey for 1978‐79. The analysis proceeds by progressive decomposition of the population into component groups differentiated by characteristics such as sex, age, employment status and occupation. At each stage of the decomposition, total inequality is partitioned into contributions from within and between the component groups, as measured by the Shorrocks Iq index. The importance of the characteristic in question as a source of inequality can then be assessed. While the results of the analysis are described in some detail, the emphasis of the paper is primarily methodological.

Suggested Citation

  • G. A. Meagher & Peter B. Dixon, 1986. "Analyzing Income Distribution in Australia," The Economic Record, The Economic Society of Australia, vol. 62(4), pages 427-441, December.
    • Handle: RePEc:bla:ecorec:v:62:y:1986:i:4:p:427-441
    DOI: 10.1111/j.1475-4932.1986.tb00908.x
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    Cited by:

    1. G. A. Meagher & Nisha Agrawal, 1986. "Taxation Reform and Income Distribution in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 19(3), pages 33-56, September.
    2. Peter Saunders, 1994. "Immigrants and the Distribution of Income: National and International Comparisons," LIS Working papers 123, LIS Cross-National Data Center in Luxembourg.
    3. Peter Saunders, 1993. "Longer Run Changes in the Distribution of Income in Australia," The Economic Record, The Economic Society of Australia, vol. 69(4), pages 353-366, December.
    4. Anthony Shorrocks & Guanghua Wan, 2005. "Spatial decomposition of inequality," Journal of Economic Geography, Oxford University Press, vol. 5(1), pages 59-81, January.
    5. Stefan Boeters & Michael Feil & Nicole Gürtzgen, 2007. "Discrete Working Time Choice in an Applied General Equilibrium Model," Computational Economics, Springer;Society for Computational Economics, vol. 29(3), pages 427-427, May.

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