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Statistical Inference and Changes in Income Inequality in Australia

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  • George Athanasopoulos
  • Farshid Vahid

Abstract

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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Bibliographic Info

Article provided by The Economic Society of Australia in its journal The Economic Record.

Volume (Year): 79 (2003)
Issue (Month): 247 (December)
Pages: 412-424

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Handle: RePEc:bla:ecorec:v:79:y:2003:i:247:p:412-424

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References

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  1. 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.
  2. Mills, Jeffrey A & Zandvakili, Sourushe, 1997. "Statistical Inference via Bootstrapping for Measures of Inequality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 133-50, March-Apr.
  3. 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.
  4. 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.
  5. 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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Cited by:
  1. Bönke, Timm & Schröder, Carsten & Schulte, Katharina, 2008. "Incomes and inequality in the long run: the case of German elderly," Economics Working Papers 2008,06, Christian-Albrechts-University of Kiel, Department of Economics.
  2. D'Amico, Guglielmo & Di Biase, Giuseppe & Manca, Raimondo, 2012. "Income inequality dynamic measurement of Markov models: Application to some European countries," Economic Modelling, Elsevier, vol. 29(5), pages 1598-1602.
  3. Francisco Azpitarte & Olga Alonso-Villar, 2012. "A Dominance Criterion for Measuring Income Inequality from a Centrist View: The Case of Australia," Melbourne Institute Working Paper Series wp2012n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  4. Hooi Hooi Lean & Ma. Rebecca Valenzuela, 2012. "Inequality in Australia 1983-2004: A Stochastic Dominance Approach," Development Research Unit Working Paper Series 06-12, Monash University, Department of Economics.
  5. Roger Wilkins, 2013. "Evaluating the Evidence on Income Inequality in Australia in the 2000s," Melbourne Institute Working Paper Series wp2013n26, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  6. Carsten Schröder, 2011. "Cowell, F.: Measuring Inequality. London School of Economics Perspectives in Economic Analysis," Journal of Economics, Springer, vol. 104(3), pages 281-285, November.
  7. Paul Gregg & Rosanna Scutella & Claudia Vittori, 2012. "Earnings Mobility and Inequality: An Integrated Framework," Melbourne Institute Working Paper Series wp2012n26, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  8. Timm Bönke & Carsten Schröder, 2010. "Country Inequality Rankings and Conversion Schemes," Discussion Papers of DIW Berlin 1068, DIW Berlin, German Institute for Economic Research.
  9. Jill Wright & Ma. Rebecca Valenzuela & Duangkamon Chotikapanich, 2011. "Measuring Poverty and Inequality from Highly Aggregated Small Area Data: The Changing Fortunes of Latrobe Valley Households," Monash Econometrics and Business Statistics Working Papers 4/12, Monash University, Department of Econometrics and Business Statistics.
  10. Paul Gregg & Rosanna Scutella & Claudia Vittori, 2012. "Earnings Mobility and Inequality: An Integrated Framework Abstract: In this paper we propose an integrated framework for the analysis of earnings inequality and mobility, which enables the analysis of," The Centre for Market and Public Organisation 12/295, Department of Economics, University of Bristol, UK.
  11. Timm Bönke & Carsten Schröder, 2011. "Poverty in Germany – Statistical Inference and Decomposition," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 231(2), pages 178-209, April.
  12. Stéphane Mussard & Pi Alperin María Noel, 2006. "Measuring Significance of Inequalities with Heterogeneous Groups and Income Sources," Cahiers de recherche 06-13, Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke.
  13. Rubiana Chamarbagwala, 2010. "Economic liberalization and urban–rural inequality in India: a quantile regression analysis," Empirical Economics, Springer, vol. 39(2), pages 371-394, October.

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