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Geschlechtsspezifische Lohnunterschiede in Bayern

Author

Listed:
  • Rossen, Anja

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Fuchs, Michaela

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Lawitzky, Corinna

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Weyh, Antje

    (Institute for Employment Research (IAB), Nuremberg, Germany)

Abstract

"Der Gender Pay Gap, also die Lohnlücke zwischen vollzeitbeschäftigten Frauen und Männern, beträgt in Bayern 25,0 Prozent und fällt damit deutlich höher aus als im deutschen Durchschnitt (20,8 Prozent). In der Stadt Hof besteht mit 16,1 Prozent der niedrigste, im Landkreis Dingolfing-Landau mit 39,5 Prozent der höchste Lohnunterschied zu Ungunsten der Frauen. In allen bayerischen Kreisen verdienen Männer somit mehr als Frauen. Zudem scheinen die regionalen Unterschiede in der Höhe des Gender Pay Gap vor allem durch die Variation in den Löhnen der Männer getrieben zu sein. Grundsätzlich kann eine Vielzahl an Unterschieden in der Beschäftigungsstruktur zwischen Männern und Frauen zum Lohngefälle beitragen. Berücksichtigt man diese Unterschiede in den individuellen, betrieblichen und regionalen Merkmalen, reduziert sich der Lohnunterschied auf 16,1 Prozent. Folglich bleibt der Großteil dieser bereinigten Lohnlücke unerklärt. Allerdings tragen dazu auch Faktoren bei, die aufgrund fehlender Information in der Berechnung nicht berücksichtigt werden können. Lediglich 4,8 Prozentpunkte des Gender Pay Gaps lassen sich auf eine schlechtere Bewertung lohnbestimmenden Eigenschaften der Frauen zurückführen." (Autorenreferat, IAB-Doku)

Suggested Citation

  • Rossen, Anja & Fuchs, Michaela & Lawitzky, Corinna & Weyh, Antje, 2019. "Geschlechtsspezifische Lohnunterschiede in Bayern," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Bayern 201903, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabrby:201903
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    as
    1. Busch, Anne & Holst, Elke, 2013. "Geschlechtsspezifische Verdienstunterschiede bei Führungskräften und sonstigen Angestellten in Deutschland: Welche Relevanz hat der Frauenanteil im Beruf?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 42(4), pages 315-336.
    2. Arrow, Kenneth J, 1974. "Limited Knowledge and Economic Analysis," American Economic Review, American Economic Association, vol. 64(1), pages 1-10, March.
    3. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    4. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    5. Fuchs, Michaela & Rossen, Anja & Weyh, Antje & Wydra-Somaggio, Gabriele, 2019. "Why do women earn more than men in some regions? : Explaining regional differences in the gender pay gap in Germany," IAB-Discussion Paper 201911, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Gartner, Hermann, 2005. "The imputation of wages above the contribution limit with the German IAB employment sample," FDZ Methodenreport 200502_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Klammer, Ute & Klenner, Christina & Lillemeier, Sarah, 2018. "Comparable Worth: Arbeitsbewertungen als blinder Fleck in der Ursachenanalyse des Gender Pay Gaps?," WSI Studies 14, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    8. Beblo, Miriam & Bender, Stefan & Wolf, Elke, 2006. "The wage effects of entering motherhood: a within-firm matching approach," ZEW Discussion Papers 06-053, ZEW - Leibniz Centre for European Economic Research.
    9. repec:iab:iabfme:200502(en is not listed on IDEAS
    10. Becker, Gary S., 1971. "The Economics of Discrimination," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226041162, June.
    11. Heinze, Anja & Wolf, Elke, 2006. "Gender Earnings Gap in German Firms: The Impact of Firm Characteristics and Institutions," ZEW Discussion Papers 06-020, ZEW - Leibniz Centre for European Economic Research.
    12. Hammermann, Andrea & Schmidt, Jörg, 2015. "Facetten des Gender Pay Gap: Empirische Evidenz auf Basis des Sozio-oekonomischen Panels," IW policy papers 8/2015, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
    13. Elke Holst & Anne Marquardt, 2018. "Die Berufserfahrung in Vollzeit erklärt den Gender Pay Gap bei Führungskräften maßgeblich," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 85(30/31), pages 669-678.
    14. Burkart, Brigitte & Wüst, Kirsten, 2010. "Womit haben wir das verdient? - Weniger Geld bei besserer Leistung," WSI-Mitteilungen, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 63(6), pages 306-313.
    15. Frodermann, Corinna & Schmucker, Alexandra & Müller, Dana, 2018. "Entgeltgleichheit zwischen Frauen und Männern in mittleren und großen Betrieben," IAB-Forschungsbericht 201803, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    16. Daniel Oesch & Oliver Lipps & Patrick McDonald, 2017. "The wage penalty for motherhood: Evidence on discrimination from panel data and a survey experiment for Switzerland," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(56), pages 1793-1824.
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    1. Fuchs, Michaela & Lawitzky, Corinna & Rossen, Anja & Weyh, Antje, 2020. "Geschlechtsspezifische Lohnunterschiede in Thüringen," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 202002, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Fuchs, Michaela & Lawitzky, Corinna & Rossen, Anja & Weyh, Antje, 2020. "Geschlechtsspezifische Lohnunterschiede in Sachsen-Anhalt," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 202001, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    Keywords

    Bayern ; Bundesrepublik Deutschland ; Frauen ; Lohnunterschied ; Männer ; regionale Disparität;
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