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Was erklärt die Lohnunterschiede zwischen Ost- und Westdeutschland?

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  • Jan Kluge
  • Michael Weber

Abstract

Auch über 25 Jahre nach der deutschen Vereinigung sind noch immer starke Lohnunterschiede zwischen Ost- und Westdeutschland zu beobachten. Mithilfe verknüpfter Arbeitgeber-Arbeitnehmer-Daten lassen sich 40 % der im Jahr 2010 beobachteten Ost-West-Lohndifferenz auf strukturelle Unterschiede in persönlichen, betrieblichen und regionalen Charakteristika zurückführen. Besonders bedeutsam sind dabei die Betriebsgrößen- und Preisunterschiede zwischen Ost- und Westdeutschland. Auch die höhere Erwerbsbeteiligung der Frauen und die geringere Tarifbindung in Ostdeutschland tragen zur Lohndifferenz bei. Da sich viele der identifizierten Einflussfaktoren einer direkten wirtschaftspolitischen Einflussnahme entziehen, dürfte auch in Zukunft nicht mit einer raschen Angleichung der Löhne in Ost- und Westdeutschland zu rechnen sein.

Suggested Citation

  • Jan Kluge & Michael Weber, 2016. "Was erklärt die Lohnunterschiede zwischen Ost- und Westdeutschland?," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 23(02), pages 03-09, April.
  • Handle: RePEc:ces:ifodre:v:23:y:2016:i:02:p:03-09
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    as
    1. Yellen, Janet L, 1984. "Efficiency Wage Models of Unemployment," American Economic Review, American Economic Association, vol. 74(2), pages 200-205, May.
    2. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    3. repec:iab:iabfda:201302(de is not listed on IDEAS
    4. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    5. 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.
    6. Jörg Heining & Wolfram Klosterhuber & Stefan Seth, 2014. "An Overview on the Linked Employer-Employee Data of the Institute for Employment Research (IAB)," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 134(1), pages 141-148.
    7. Heining, Jörg & Scholz, Theresa & Seth, Stefan, 2013. "Linked-Employer-Employee data from the IAB: LIAB cross-sectional model 2 1993-2010 (LIAB QM2 9310)," FDZ Datenreport. Documentation on Labour Market Data 201302_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Uwe Blien & Hermann Gartner & Heiko Stüber & Katja Wolf, 2009. "Regional price levels and the agglomeration wage differential in western Germany," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(1), pages 71-88, March.
    9. Robert Orlowski & Regina T. Riphahn, 2008. "The East German Wage Structure after Transition," SOEPpapers on Multidisciplinary Panel Data Research 148, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Andersson, Martin & Klaesson , Johan & Larsson , Johan P, 2014. "The Sources of the Urban Wage Premium by Worker Skills," Papers in Innovation Studies 2014/6, Lund University, CIRCLE - Centre for Innovation Research.
    11. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    12. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    13. Christian Ochsner & Michael Weber, 2014. "Die Kleinteiligkeit der ostdeutschen Wirtschaft – dynamisch betrachtet," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(05), pages 22-33, October.
    14. 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.
    15. Johannes Ludsteck, 2014. "The Impact of Segregation and Sorting on the Gender Wage Gap: Evidence from German Linked Longitudinal Employer-Employee Data," ILR Review, Cornell University, ILR School, vol. 67(2), pages 362-394, April.
    16. David G. Blanchflower & Alex Bryson, 2010. "The Wage Impact of Trade Unions in the UK Public and Private Sectors," Economica, London School of Economics and Political Science, vol. 77(305), pages 92-109, January.
    17. Jan Kluge & Michael Weber, 2015. "Decomposing the German East-West wage gap," ifo Working Paper Series 205, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    18. Burdett, Kenneth & Mortensen, Dale T, 1998. "Wage Differentials, Employer Size, and Unemployment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(2), pages 257-273, May.
    19. Usamah Fayez Al-Farhan, 2010. "Changes in the Gender Wage Gap in Germany during a Period of Rising Wage Inequality 1999-2006: Was it Discrimination in the Returns to Human Capital?," SOEPpapers on Multidisciplinary Panel Data Research 293, DIW Berlin, The German Socio-Economic Panel (SOEP).
    20. Joachim Ragnitz, 2012. "Regionale Lohnunterschiede in Deutschland," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 19(02), pages 26-32, April.
    21. Joachim Ragnitz, 2010. "Strukturelle Ursachen des Einkommensrückstands Ostdeutschlands," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(02), pages 17-23, 04.
    22. Gabriele Fischer & Florian Janik & Dana Müller & Alexandra Schmucker, 2009. "European Data Watch: The IAB Establishment Panel - Things Users Should Know," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 129(1), pages 133-148.
    23. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    24. Martin Andersson & Johan Klaesson & Johan P Larsson, 2014. "The sources of the urban wage premium by worker skills: Spatial sorting or agglomeration economies?," Papers in Regional Science, Wiley Blackwell, vol. 93(4), pages 727-747, November.
    25. Florian Lehmer & Joachim Möller, 2010. "Interrelations between the urban wage premium and firm-size wage differentials: a microdata cohort analysis for Germany," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 31-53, August.
    26. Shapiro, Carl & Stiglitz, Joseph E, 1984. "Equilibrium Unemployment as a Worker Discipline Device," American Economic Review, American Economic Association, vol. 74(3), pages 433-444, June.
    27. Michael Gühne & Gunther Markwardt, 2014. "Lohnunterschiede zwischen Ost- und Westdeutschland: Neue Einsichten," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 37-44, June.
    28. Heining, Jörg & Scholz, Theresa & Seth, Stefan, 2013. "Linked-Employer-Employee-Daten des IAB: LIAB-Querschnittmodell 2 1993-2010 (LIAB QM2 9310)," FDZ Datenreport. Documentation on Labour Market Data 201302_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    2. Valentina S. Consiglio & Denisa M. Sologon, 2019. "The Myth of Equal Opportunity in Germany?," SOEPpapers on Multidisciplinary Panel Data Research 1060, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. Michael Weber, 2016. "Der flächendeckende Mindestlohn in Ost- und Westdeutschland: Erwartungen undWirklichkeit," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 23(03), pages 36-40, June.
    4. David Bauer & Joachim Ragnitz & Christian Ochsner, 2018. "Strategies for the Best Equipment and Use of Funds after 2020," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 82, July.
    5. Joachim Ragnitz, 2019. "Schlechter als erwartet, besser als gedacht: Die wirtschaftliche Situation in Ostdeutschland 30 Jahre nach dem Mauerfall," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 26(05), pages 03-08, October.
    6. Valentina S. Consiglio & Denisa M. Sologon, 2022. "The Myth of Equal Opportunity in Germany? Wage Inequality and the Role of (Non-)academic Family Background for Differences in Capital Endowments and Returns on the Labour Market," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(2), pages 455-493, January.

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    More about this item

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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