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Ökonometrische Verfahren zur Messung von Segregation: eine theoretische und empirische Studie

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  • Carsten Hundertmark

Abstract

Segregation ist ein viel diskutiertes soziales Thema. Berufliche Segregation liegt. - vor, wenn sich unterschiedliche Gruppen ungleich auf einzelne Berufe oder Berufsgruppen aufteilen. Üben beispielsweise Frauen in größerem Maße schlechter bezahlte Berufe aus als Männer, so kann dies eine Erklärung für die Lohnlücke zwischen weiblichen und männlichen Arbeitnehmern sein. Regionale Einkommenssegregation liegt vor, wenn sich verschiedene ethnische Gruppen ungleich auf einzelne Regionen aufteilen. Segregation in Schulen kann zu Unterschieden im Bildungsniveau zwischen Schülern aus unterschiedlichen ethnischen Gruppen beitragen. Im Folgenden werden die gängigen Methoden zur Messung von Segregation vorgestellt, verglichen sowie Stärken und Schwächen der einzelnen Verfahren diskutiert. Die methodischen Ansätze stehen hierbei im Vordergrund, aber auch die Darstellung empirischer Ergebnisse ist Gegenstand der nachfolgenden Ausführungen.

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  • Carsten Hundertmark, 2013. "Ökonometrische Verfahren zur Messung von Segregation: eine theoretische und empirische Studie," SOEPpapers on Multidisciplinary Panel Data Research 559, DIW Berlin, The German Socio-Economic Panel (SOEP).
  • Handle: RePEc:diw:diwsop:diw_sp559
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    References listed on IDEAS

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    3. Robert M. Blackburn & Janet Siltanen & Jennifer Jarman, 1995. "The Measurement of Occupational Gender Segregation: Current Problems and a New Approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(2), pages 319-331, March.
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    5. Victor R. Fuchs, 1975. "A Note on Sex Segregation in Professional Occupations," NBER Chapters, in: Explorations in Economic Research, Volume 2, number 1, pages 105-111, National Bureau of Economic Research, Inc.
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    7. Hutchens, Robert, 2001. "Numerical measures of segregation: desirable properties and their implications," Mathematical Social Sciences, Elsevier, vol. 42(1), pages 13-29, July.
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    Keywords

    Einkommen und Armut; Ökonometrie;

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