Statistical Inference and Changes in Income Inequality in Australia
This paper studies the changes in income inequality in Australia between 1986 and 1999, using the Gini coefficient and Theil's inequality measure. Individuals are divided into various subgroups along several dimensions, namely region of residence, employment status, occupation and age. The change in inequality over time, between and within these subgroups is studied, and the bootstrap method is used to establish whether these changes are statistically significant. Copyright 2003. The Economic Society of Australia.
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Volume (Year): 79 (2003)
Issue (Month): 247 (December)
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References listed on IDEAS
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- Mills, Jeffrey A & Zandvakili, Sourushe, 1997.
"Statistical Inference via Bootstrapping for Measures of Inequality,"
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- Borland, Jeff, 1999.
"Earnings Inequality in Australia: Changes, Causes and Consequences,"
The Economic Record,
The Economic Society of Australia, vol. 75(229), pages 177-202, June.
- Borland, J., 1998. "Earnings Inequality in Australia: Changes, Causes and Consequences," CEPR Discussion Papers 390, Centre for Economic Policy Research, Research School of Economics, Australian National University.
- Coulter, Fiona A E & Cowell, Frank A & Jenkins, Stephen P, 1992. "Equivalence Scale Relativities and the Extent of Inequality and Poverty," Economic Journal, Royal Economic Society, vol. 102(414), pages 1067-82, September.
- Peter Gottschalk, 1997. "Inequality, Income Growth, and Mobility: The Basic Facts," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 21-40, Spring.
- Biewen, Martin, 2002. "Bootstrap inference for inequality, mobility and poverty measurement," Journal of Econometrics, Elsevier, vol. 108(2), pages 317-342, June.
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