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Sources of Inequality Between Male and Female Wages in Australia

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  • Nisha Agrawal

Abstract

This article examines the influence of labour force status, full‐time/part‐time employment status, educational qualifications, work experience, and occupation as sources of inequality between male and female wages in Australia. A decomposition method is used to identify the effect of these factors on male/ female inequality. This strategy involves successively removing persons who differ with respect to each of these factors from the population under study and then decomposing the inequality in the remaining sub‐population into inequality within each sex and inequality between the sexes. This decomposition is done using the I0 inequality index proposed by Theil (1967). The study is based on unit record data from the 1981–82 Income and Housing Survey conducted by the Australian Bureau of Statistics. It finds that a significant proportion of the inequality between the wages of the sexes can be explained by their differences with respect to the factors listed above.

Suggested Citation

  • Nisha Agrawal, 1988. "Sources of Inequality Between Male and Female Wages in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 21(4), pages 26-36, December.
  • Handle: RePEc:bla:ausecr:v:21:y:1988:i:4:p:26-36
    DOI: 10.1111/j.1467-8462.1988.tb00565.x
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    Cited by:

    1. Takahiro Akita & Sachiko Miyata, 2008. "Urbanization, educational expansion, and expenditure inequality in Indonesia in 1996, 1999, and 2002," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 13(2), pages 147-167.
    2. repec:ilo:ilowps:292069 is not listed on IDEAS
    3. Rassou R., 1993. "Statistical measurement of gender wage differentials," ILO Working Papers 992920693402676, International Labour Organization.
    4. Daina McDonald, 2006. "150 Issues of The Australian Economic Review: The Changing Face of a Journal over Time," Melbourne Institute Working Paper Series wp2006n01, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

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