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Hohe Einkommen: Eine Verteilungsanalyse für Freie Berufe, Unternehmer und abhängig Beschäftigte

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  • Joachim Merz
  • Markus Zwick

    ()
    (LEUPHANA University Lüneburg,Department of Economic, Behaviour and Law Sciences, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)))

Abstract

The distribution of societal resources is of high societal, economic and social policy importance. What is missing are reliable data above all about high income. This study will contribute to a well-founded analysis of high income for self employed – as (liberal) professions and entrepreneurs – and as employees, central groups of the labour market and the society at all. Before the background of requirements to a database and given official and non-official data sources we characterize our microdata base, the wage and income tax statistic 1995, a population statistic , which in particular is well-suited for the analysis ogf high income. We describe the used economic income concept and our 10% sample with about 3 Million anonymized tax records. For the first time we then present distributional and re-distributional results based on all income areas and for alternative high income thresholds – millionares and 200% of the mean – for professions, entrepreneurs and employees.

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File URL: http://www.leuphana.de/fileadmin/user_upload/Forschungseinrichtungen/ffb/files/publikationen/diskussion/DP_40_hohe_einkommen.pdf
File Function: First version, 2003
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Bibliographic Info

Paper provided by Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg in its series FFB-Discussionpaper with number 40.

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Length: 38 pages
Date of creation: May 2003
Date of revision:
Handle: RePEc:leu:wpaper:40

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Web page: http://ffb.uni-lueneburg.de/repec/leu/
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Related research

Keywords: Wealth; high income; incoime distribution of (liberal) professions; entrepreneurs and employees; decomposition of inequality; re-distribution; German Wage and Income Tax Statistic; tax microdata;

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  1. Blackburn, McKinley L., 1989. "Interpreting the magnitude of changes in measures of income inequality," Journal of Econometrics, Elsevier, vol. 42(1), pages 21-25, September.
  2. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
  3. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-25, April.
  4. Markus M. Grabka, 2000. "Einkommensverteilung in Deutschland: stärkere Umverteilungseffekte in Ostdeutschland," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 67(19), pages 291-297.
  5. Sen, Amartya, 1979. " Issues in the Measurement of Poverty," Scandinavian Journal of Economics, Wiley Blackwell, vol. 81(2), pages 285-307.
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Cited by:
  1. Peichl, Andreas, 2005. "Die Evaluation von Steuerreformen durch Simulationsmodelle," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 05-1, University of Cologne, FiFo Institute for Public Economics.

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