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Citations for "Top Incomes in Germany and Switzerland Over the Twentieth Century"

by Fabien Dell

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  1. Andrew Leigh, 2007. "How Closely Do Top Income Shares Track Other Measures of Inequality?," CEPR Discussion Papers 562, Centre for Economic Policy Research, Research School of Economics, Australian National University.
  2. Mollick, André Varella, 2012. "Income inequality in the U.S.: The Kuznets hypothesis revisited," Economic Systems, Elsevier, vol. 36(1), pages 127-144.
  3. Burkhauser, Richard V. & Feng, Shuaizhang & Jenkins, Stephen P. & Larrimore, Jeff, 2009. "Recent trends in top income shares in the USA: reconciling estimates from March CPS and IRS tax return data," ISER Working Paper Series 2009-27, Institute for Social and Economic Research.
  4. Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2011. "Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring," Journal of Economic Inequality, Springer, vol. 9(3), pages 393-415, September.
  5. Jordi Guilera Rafecas, 2008. "Top income shares in Portugal over the twentieth century," Working Papers in Economics 195, Universitat de Barcelona. Espai de Recerca en Economia.
  6. Bönke, Timm & Corneo, Giacomo & Lüthen, Holger, 2012. "Lifetime earnings inequality in Germany," CEPR Discussion Papers 8929, C.E.P.R. Discussion Papers.
  7. Roine, Jesper & Waldenstrom, Daniel, 2008. "The evolution of top incomes in an egalitarian society: Sweden, 1903-2004," Journal of Public Economics, Elsevier, vol. 92(1-2), pages 366-387, February.
  8. Atkinson, Tony & Leigh, Andrew, 2010. "The Distribution of Top Incomes in Five Anglo-Saxon Countries over the Twentieth Century," IZA Discussion Papers 4937, Institute for the Study of Labor (IZA).
  9. Peichl, Andreas & Schaefer, Thilo & Scheicher, Christoph, 2008. "Measuring Richness and Poverty: A Micro Data Application to Europe and Germany," IZA Discussion Papers 3790, Institute for the Study of Labor (IZA).
  10. Peichl, Andreas & Pestel, Nico, 2010. "Multidimensional Measurement of Richness: Theory and an Application to Germany," IZA Discussion Papers 4825, Institute for the Study of Labor (IZA).
  11. Stefan Bach & Giacomo Corneo & Viktor Steiner, 2005. "Top Incomes and Top Taxes in Germany," Discussion Papers of DIW Berlin 532, DIW Berlin, German Institute for Economic Research.
  12. Peichl, Andreas & Pestel, Nico, 2011. "Multidimensional Affluence: Theory and Applications to Germany and the US," IZA Discussion Papers 5926, Institute for the Study of Labor (IZA).
  13. Gustafsson, Björn Anders & Jansson, Birgitta, 2007. "Top Incomes in Sweden during Three-Quarters of a Century: A Micro Data Approach," IZA Discussion Papers 2672, Institute for the Study of Labor (IZA).
  14. Jenderny, Katharina, 2013. "Mobility of top incomes in Germany," Discussion Papers 2013/7, Free University Berlin, School of Business & Economics.
  15. Schmidt, Thomas-Patrick & Müller, Heiko, 2012. "Die Elastizitat des zu versteuernden Einkommens in Deutschland: Eine empirische Untersuchung auf Basis des deutschen Taxpayer-Panels," arqus Discussion Papers in Quantitative Tax Research 132, arqus - Arbeitskreis Quantitative Steuerlehre.
  16. Jenderny, Katharina, 2013. "Declining Tax Progression and the German Dual Income Tax," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80039, Verein für Socialpolitik / German Economic Association.
  17. Peichl, Andreas & Schaefer, Thilo & Scheicher, Christoph, 2006. "Measuring Richness and Poverty," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 06-11, University of Cologne, FiFo Institute for Public Economics.
  18. Paul Makdissi & Myra Yazbeck, 2012. "On the Measurement of Indignation," Working Papers 1213E, University of Ottawa, Department of Economics.
  19. Roine, Jesper & Waldenström, Daniel, 2005. "Top Incomes in Sweden over the Twentieth Century," SSE/EFI Working Paper Series in Economics and Finance 602, Stockholm School of Economics.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.