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Top Incomes and Inequality in Australia: Reconciling Recent Estimates from Household Survey and Tax Return Data

Author

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  • Richard V. Burkhauser

    (Department of Policy, Analysis and management, Cornell University; Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Markus H. Hahn

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Roger Wilkins

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

Abstract

We systematically compare differences in recent Australian income inequality estimates derived from tax records and survey data. We use customised tax tables provided by the Australian Taxation Office (ATO) to more precisely measure Australian top incomes as conceptualised in the international top incomes literature. We then document the inability of Household, Income and Labour Dynamics in Australia (HILDA) survey data, as well as the ATO 1% sample tax files, to replicate our top income share values. In contrast, accuracy is substantially improved using the ATO 2% sample introduced in 2011-12. Using HILDA data with enhanced income values from the 2% sample we better track top incomes. More importantly, we are able to use alternative income concepts and income-sharing units to provide more consistent cross-national comparisons than are currently found in the top incomes literature. Furthermore, we improve standard summary measure estimates of inequality found in the traditional survey-based Australian literature. Our findings show great potential value in linking tax records and survey data, but also show that this value is severely limited when using the 1% tax sample available for 2003-04 to 2010-11. Whereas the 2% sample substantially improves top incomes estimates, data without censored and perturbed income variables are needed and could be provided without unduly threatening tax filer confidentiality.

Suggested Citation

  • Richard V. Burkhauser & Markus H. Hahn & Roger Wilkins, 2016. "Top Incomes and Inequality in Australia: Reconciling Recent Estimates from Household Survey and Tax Return Data," Melbourne Institute Working Paper Series wp2016n19, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2016n19
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    References listed on IDEAS

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    1. Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2011. "Top Incomes in the Long Run of History," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 3-71, March.
    2. Anthony Atkinson & Thomas Piketty, 2007. "Top incomes over the twentieth century: A contrast between continental european and english-speaking countries," Post-Print halshs-00754859, HAL.
    3. repec:iae:iaewps:wp2016n5 is not listed on IDEAS
    4. Alvaredo, Facundo, 2011. "A note on the relationship between top income shares and the Gini coefficient," Economics Letters, Elsevier, vol. 110(3), pages 274-277, March.
    5. Besharov, Douglas J. & Couch, Kenneth A. (ed.), 2012. "Counting the Poor: New Thinking About European Poverty Measures and Lessons for the United States," OUP Catalogue, Oxford University Press, number 9780199860586, Decembrie.
    6. Atkinson, Anthony B., 2015. "Inequality: what can be done?," LSE Research Online Documents on Economics 101810, London School of Economics and Political Science, LSE Library.
    7. Burkhauser, Richard V. & Herault, Nicolas & Jenkins, Stephen P. & Wilkins, Roger, 2016. "What Has Been Happening to UK Income Inequality since the Mid-1990s? Answers from Reconciled and Combined Household Survey and Tax Return Data," IZA Discussion Papers 9718, Institute of Labor Economics (IZA).
    8. Atkinson, A. B. & Piketty, Thomas (ed.), 2007. "Top Incomes Over the Twentieth Century: A Contrast Between Continental European and English-Speaking Countries," OUP Catalogue, Oxford University Press, number 9780199286881, Decembrie.
    9. Richard Burkhauser & Markus Hahn & Roger Wilkins, 2015. "Measuring top incomes using tax record data: a cautionary tale from Australia," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 181-205, June.
    10. Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality in the United States, 1913–1998," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 1-41.
    11. A. B. Atkinson, 2005. "Top incomes in the UK over the 20th century," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 325-343, March.
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    Cited by:

    1. Richard V. Burkhauser & Nicolas Hérault & Stephen P. Jenkins & Roger Wilkins, 2018. "Survey Under‐Coverage of Top Incomes and Estimation of Inequality: What is the Role of the UK's SPI Adjustment?," Fiscal Studies, John Wiley & Sons, vol. 39(2), pages 213-240, June.
    2. Roman Bobilev & Anne Boschini & Jesper Roine, 2020. "Women in the Top of the Income Distribution: What Can We Learn From LIS-Data?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(1), pages 63-107, March.
    3. Thomas Blanchet & Ignacio Flores & Marc Morgan, 2022. "The weight of the rich: improving surveys using tax data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 119-150, March.

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    More about this item

    Keywords

    Inequality; summary income inequality measures; top income share measures; Australian tax records data; HILDA Survey data;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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