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

Author

Listed:
  • Merz, Joachim
  • Zwick, Markus

Abstract

Die Verteilung gesellschaftlicher Ressourcen ist von hoher gesellschafts- wie wirtschafts- und sozialpolitischer Bedeutung. Was allerdings für eine fundierte Auseinandersetzung fehlt, sind zuverlässige Daten vor allem zu den hohen Einkommen. Die vorliegende Studie soll dazu beitragen, die Analyse der hohen Einkommen für Selbständige - mit ihren Freien Berufen und Unternehmern - und abhängig Beschäftigte als zentrale Gruppen des Arbeitsmarktes und der Gesellschaft, quantitativ und qualitativ zu fundieren. Vor dem Hintergrund der hierfür an eine Datenbasis zu stellenden Anforderungen und den vorhandenen amtlichen und nichtamtlichen Datenquellen charakterisieren wir unsere Mikrodatenbasis: Die Lohn- und Einkommensteuerstatistik 1995, eine für die Analyse hoher Einkommen besonders geeignete Vollerhebungs-Datenbasis. Wir beschreiben das ökonomische Einkommenskonzept und die verwendete 10%Stichprobe mit ca. 3 Mio. anonymisierten Steuerpflichtigen. Auf dieser Basis werden dann erstmals die Ergebnisse der Einkommensanalysen zur Verteilung und Umverteilung über alle Einkommensbereiche und dann für alternative Reichtumsgrenzen - Millionäre und. 200% des Mittelwertes - für Freie Berufe, Unternehmer und abhängig Beschäftigte vorgestellt und diskutiert.

Suggested Citation

  • Merz, Joachim & Zwick, Markus, 2003. "Hohe Einkommen: Eine Verteilungsanalyse für Freie Berufe, Unternehmer und abhängig Beschäftigte," MPRA Paper 5980, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:5980
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    References listed on IDEAS

    as
    1. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-625, April.
    2. repec:bla:scandj:v:81:y:1979:i:2:p:285-307 is not listed on IDEAS
    3. 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.
    4. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    5. 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.
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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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    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

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