IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v159y2022i2d10.1007_s11205-021-02719-2.html
   My bibliography  Save this article

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

Author

Listed:
  • Valentina S. Consiglio

    (Bertelsmann Stiftung
    Maastricht University (Graduate School of Governance) and United Nations University–MERIT)

  • Denisa M. Sologon

    (Luxembourg Institute of Socio-Economic Research (LISER))

Abstract

While providing equal opportunities to all members of society independent of an individual’s socio-economic background is a major objective of German policy makers, educational opportunities of children with a non-academic family background are still unequally obstructed. When analysing the labour market implications of this disadvantage, social capital as an additional source of inequality often lacks attention. Drawing on the instrumental value of rather loose contacts (i.e. weak ties) on the labour market as revealed by Granovetter (Getting a job. A study of contacts and careers, The University of Chicago Press, Cambridge, 1974), this paper goes beyond the human capital approach and includes a measure of instrumental social capital in the form of weak-tie career support in the earnings function. Applying an Oaxaca-Blinder decomposition and quantile regressions, we find a significant average wage gap between those with and without an academic family background. A large part can be explained by deficits that those from less educated families incur with respect to human and instrumental social capital: Lower educational attainment accounts for more than half of the wage gap between the two groups while fewer career support explains around five percent of the differential. Additionally, a non-academic family background is associated with a significant deficit in returns to their instrumental social capital along the wage distribution. The findings therefore suggest that inequalities of opportunity on the German labour market occur beyond the education system, as not only the quantity but also the quality of career supporting networks of those from a non-academic family are inferior.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:soinre:v:159:y:2022:i:2:d:10.1007_s11205-021-02719-2
    DOI: 10.1007/s11205-021-02719-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-021-02719-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11205-021-02719-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Barry R. Chiswick, 2006. "Jacob Mincer, Experience and the Distribution of Earnings," Springer Books, in: Shoshana Grossbard (ed.), Jacob Mincer A Pioneer of Modern Labor Economics, chapter 10, pages 109-126, Springer.
    2. Barrera-Osorio, F. & García-Moreno, V. & Patrinos, H., & Porta, E., 2011. "Using the Oaxaca-Blinder Decomposition Technique to Analyze Learning Outcomes Changes over Time: An Application to Indonesia’s Results in PISA Mathematics," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 11(3).
    3. Sandra E Black & Paul J Devereux & Petter Lundborg & Kaveh Majlesi, 2020. "Poor Little Rich Kids? The Role of Nature versus Nurture in Wealth and Other Economic Outcomes and Behaviours," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(4), pages 1683-1725.
    4. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
    5. Per Engzell & Felix C. Tropf, 2019. "Heritability of education rises with intergenerational mobility," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(51), pages 25386-25388, December.
    6. Fabian Kosse & Thomas Deckers & Pia Pinger & Hannah Schildberg-Hörisch & Armin Falk, 2020. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 434-467.
    7. Braun, Sebastian Till & Stuhler, Jan, 2018. "The Transmission of Inequality Across Multiple Generations: Testing Recent Theories with Evidence from Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 128(609), pages 576-611.
    8. Schnabel, Reinhold & Schnabel, Isabel, 2002. "Family and gender still matter: the heterogeneity of returns to education in Germany," ZEW Discussion Papers 02-67, ZEW - Leibniz Centre for European Economic Research.
    9. Sandra E Black & Paul J Devereux & Petter Lundborg & Kaveh Majlesi, 2020. "Poor Little Rich Kids? The Role of Nature versus Nurture in Wealth and Other Economic Outcomes and Behaviours," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(4), pages 1683-1725.
    10. Silke Anger & Guido Heineck, 2010. "Do smart parents raise smart children? The intergenerational transmission of cognitive abilities," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(3), pages 1105-1132, June.
    11. Martin Huber, 2015. "Causal Pitfalls in the Decomposition of Wage Gaps," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 179-191, April.
    12. Markus M. Grabka & Jan Goebel & Stefan Liebig, 2019. "Wiederanstieg der Einkommensungleichheit – aber auch deutlich steigende Realeinkommen," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 86(19), pages 343-353.
    13. 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.
    14. Bruce Sacerdote, 2002. "The Nature and Nurture of Economic Outcomes," American Economic Review, American Economic Association, vol. 92(2), pages 344-348, May.
    15. Martin Huber & Anna Solovyeva, 2020. "On the Sensitivity of Wage Gap Decompositions," Journal of Labor Research, Springer, vol. 41(1), pages 1-33, June.
    16. Michele Pellizzari, 2010. "Do Friends and Relatives Really Help in Getting a Good Job?," ILR Review, Cornell University, ILR School, vol. 63(3), pages 494-510, April.
    17. Owen O'Donnell & Eddy van Doorslaer & Adam Wagstaff & Magnus Lindelow, 2008. "Analyzing Health Equity Using Household Survey Data : A Guide to Techniques and Their Implementation," World Bank Publications - Books, The World Bank Group, number 6896.
    18. 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.
    19. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    20. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    21. Polachek, Solomon W., 2008. "Earnings Over the Life Cycle: The Mincer Earnings Function and Its Applications," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(3), pages 165-272, April.
    22. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    23. Markus M. Grabka & Jan Goebel, 2018. "Income Distribution in Germany: Real Income on the Rise since 1991 but More People with Low Incomes," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 8(21), pages 181-190.
    24. Florian Wendelspiess Chávez Juárez, 2015. "Intergenerational transmission of education: the relative importance of transmission channels," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 24(1), pages 1-44, December.
    25. Chiswick, Barry R. & Le, Anh T. & Miller, Paul W., 2006. "How Immigrants Fare Across the Earnings Distribution: International Analyses," IZA Discussion Papers 2405, Institute of Labor Economics (IZA).
    26. Sebastian Till Braun & Jan Stuhler, 2018. "The Transmission of Inequality Across Multiple Generations: Testing Recent Theories with Evidence from Germany," Economic Journal, Royal Economic Society, vol. 128(609), pages 576-611, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eman Alqahtani & Nourah Janbi & Sanaa Sharaf & Rashid Mehmood, 2022. "Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling," Sustainability, MDPI, vol. 14(20), pages 1-65, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Wei Zou & Ruiqi Ma, 2024. "An Extended Family Perspective on Intergenerational Human Capital Transmission in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 174(3), pages 1101-1139, September.
    3. Lekfuangfu, Warn N. & Odermatt, Reto, 2022. "All I have to do is dream? The role of aspirations in intergenerational mobility and well-being," European Economic Review, Elsevier, vol. 148(C).
    4. de la Croix, David & Goñi, Marc, 2020. "Nepotism vs. Intergenerational Transmission of Human Capital in Academia (1088--1800)," CEPR Discussion Papers 15159, C.E.P.R. Discussion Papers.
    5. Jan Stuhler, 2018. "A Review of Intergenerational Mobility and its Drivers," JRC Research Reports JRC112247, Joint Research Centre.
    6. Sloczynski, Tymon, 2015. "Average Wage Gaps and Oaxaca–Blinder Decompositions," IZA Discussion Papers 9036, Institute of Labor Economics (IZA).
    7. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    8. Brandon Vick, 2017. "Measuring links between labor monopsony and the gender pay gap in Brazil," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-28, December.
    9. Marco Biagetti & Sergio Scicchitano, 2016. "Are women in supervisory positions more discriminated against? A multinomial approach," Working Papers 2, Department of the Treasury, Ministry of the Economy and of Finance.
    10. Daniela Piazzalunga & Maria Laura Di Tommaso, 2019. "The increase of the gender wage gap in Italy during the 2008-2012 economic crisis," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 171-193, June.
    11. Costa-Font, Joan & Fabbri, Daniele & Gil, Joan, 2009. "Decomposing body mass index gaps between Mediterranean countries: A counterfactual quantile regression analysis," Economics & Human Biology, Elsevier, vol. 7(3), pages 351-365, December.
    12. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    13. Böheim, René & Himpele, Klemens & Mahringer, Helmut & Zulehner, Christine, 2013. "The distribution of the gender wage gap in Austria : evidence from matched employer-employee data and tax records," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(1), pages 19-34.
    14. Kaya, Ezgi, 2019. "Gender wage gap across the quantiles:What is the role of firm segregation?," Cardiff Economics Working Papers E2019/7, Cardiff University, Cardiff Business School, Economics Section.
    15. Rahman, Mustafizur & Al-Hasan, Md., 2018. "Male-Female wage gap and informal employment in Bangladesh: A quantile regression approach," MPRA Paper 90131, University Library of Munich, Germany.
    16. Arceo-Gómez, Eva O. & Campos-Vázquez, Raymundo M., 2014. "Evolución de la brecha salarial de género en México," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(323), pages .619-653, julio-sep.
    17. Caliendo, Marco & Lee, Wang-Sheng & Mahlstedt, Robert, 2017. "The gender wage gap and the role of reservation wages: New evidence for unemployed workers," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 161-173.
    18. Juan F. Castro, 2015. "Linear decompositions of cognitive achievement gaps a cautionary note and an illustration using peruvian data," Working Papers 15-08, Centro de Investigación, Universidad del Pacífico.
    19. Owen O’Donnell & Eddy van Doorslaer & Adam Wagstaff, 2012. "Decomposition of Inequalities in Health and Health Care," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 17, Edward Elgar Publishing.

    More about this item

    Keywords

    Wage gap; Inequality; Social capital; Decomposition; Quantile regression; SOEP;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:soinre:v:159:y:2022:i:2:d:10.1007_s11205-021-02719-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.