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An Integrated Approach for Top-Corrected Ginis

Listed author(s):
  • Bartels, Charlotte

    ()

    (DIW Berlin)

  • Metzing, Maria

    (DIW Berlin)

Registered author(s):

    Household survey data provide a rich information set on income, household context and demographic variables, but tend to under report incomes at the very top of the distribution. Administrative data like tax records offer more precise information on top incomes, but at the expense of household context details and incomes of non-filers at the bottom of the distribution. We combine the benefits of the two data sources and develop an integrated approach for top-corrected Gini coefficients where we impute top incomes in survey data using information on top income distribution from tax data. We apply our approach to European EU-SILC survey data which in some countries include administrative data. We find higher inequality in those European countries that exclusively rely (Germany, UK) or have relied (Spain) on interviews for the provision of EU-SILC survey data as compared to countries that use administrative data.

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    Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 10573.

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    Length: 38 pages
    Date of creation: Feb 2017
    Handle: RePEc:iza:izadps:dp10573
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    1. 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.
    2. Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality in the United States, 1913–1998," The Quarterly Journal of Economics, Oxford University Press, vol. 118(1), pages 1-41.
    3. Roine, Jesper & Vlachos, Jonas & Waldenström, Daniel, 2007. "The Long-run Determinants of Inequality: What Can We Learn from Top Income Data?," Working Paper Series 721, Research Institute of Industrial Economics, revised 30 Apr 2008.
    4. 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 for the Study of Labor (IZA).
    5. Martin Biewen & Andos Juhasz, 2012. "Understanding Rising Income Inequality in Germany, 1999/2000–2005/2006," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 58(4), pages 622-647, December.
    6. Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2009. "Top Incomes in the Long Run of History," NBER Working Papers 15408, National Bureau of Economic Research, Inc.
    7. Stefan Bach & Giacomo Corneo & Viktor Steiner, 2009. "From Bottom To Top: The Entire Income Distribution In Germany, 1992-2003," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(2), pages 303-330, 06.
    8. Thomas Piketty, 2003. "Income Inequality in France, 1901-1998," Journal of Political Economy, University of Chicago Press, vol. 111(5), pages 1004-1042, October.
    9. repec:iae:iaewps:wp2016n5 is not listed on IDEAS
    10. Feldstein, Martin S, 1969. "The Effects on Taxation on Risk Taking," Journal of Political Economy, University of Chicago Press, vol. 77(5), pages 755-764, Sept./Oct.
    11. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
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