IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0296443.html
   My bibliography  Save this article

A contemporary class structure: Capital disparities in The Netherlands

Author

Listed:
  • J Cok Vrooman
  • Jeroen Boelhouwer
  • Mérove Gijsberts

Abstract

The academic and public debate on social inequality has recently been fuelled by large disparities in income and wealth, profound changes in the labour market, and other emerging cleavages in post-industrial societies. This article contributes to the discussion by arguing that class divisions are theoretically based on four types of capital: people’s economic means, their social capital, their cultural resources, and the combination of their health and attractiveness (‘person capital’). From this premise, the social structure of the Netherlands is examined. A dedicated survey was linked to microdata from the national population register, tax authorities and benefit agencies. Using latent class analysis, we assess contingencies in the distribution of the different resources, and identify a structure consisting of six capital groups. The established upper echelon (15.5% of the adult population) has the most capital, followed by the privileged younger people (12.7%), the employed middle echelon (26.9%) and the comfortable retirees (16.6%). Total capital is lowest among the insecure workers (13.5%) and the precariat (14.8%). Each social class has a distinctive mix of the four types of capital, highlighting the need to look beyond economic differences in order to comprehend structural inequality. The results of this study also indicate that resource disparities between classes coincide with other forms of social hierarchy and contrasts by age. Moreover, the contemporary class structure is associated with divergent views and experiences among the Dutch. Classes with little capital tend to rate politics, society, and their own social position more negatively. In addition, they value self-enhancement and hedonism less than today’s upper classes and report lower levels of well-being.

Suggested Citation

  • J Cok Vrooman & Jeroen Boelhouwer & Mérove Gijsberts, 2024. "A contemporary class structure: Capital disparities in The Netherlands," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-42, January.
  • Handle: RePEc:plo:pone00:0296443
    DOI: 10.1371/journal.pone.0296443
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0296443
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296443&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0296443?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
    ---><---

    References listed on IDEAS

    as
    1. Berggren, Niclas & Jordahl, Henrik & Poutvaara, Panu, 2017. "The right look: Conservative politicians look better and voters reward it," Journal of Public Economics, Elsevier, vol. 146(C), pages 79-86.
    2. West, Patrick, 1991. "Rethinking the health selection explanation for health inequalities," Social Science & Medicine, Elsevier, vol. 32(4), pages 373-384, January.
    3. Rasmus Hoffmann & Hannes Kröger & Siegfried Geyer, 2019. "Social Causation Versus Health Selection in the Life Course: Does Their Relative Importance Differ by Dimension of SES?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 1341-1367, February.
    4. Weiguang Deng & Dayang Li & Dong Zhou, 2020. "Beauty and job accessibility: new evidence from a field experiment," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1303-1341, October.
    5. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    6. Doorley, Karina & Sierminska, Eva, 2015. "Myth or fact? The beauty premium across the wage distribution in Germany," Economics Letters, Elsevier, vol. 129(C), pages 29-34.
    7. Alan Abramowitz & Jennifer McCoy, 2019. "United States: Racial Resentment, Negative Partisanship, and Polarization in Trump’s America," The ANNALS of the American Academy of Political and Social Science, , vol. 681(1), pages 137-156, January.
    8. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    9. Hoffmann, Rasmus & Kröger, Hannes & Geyer, Siegfried, 2019. "Social Causation Versus Health Selection in the Life Course: Does Their Relative Importance Differ by Dimension of SES?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141(3), pages 1341-1367.
    10. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
    11. López Bóo, Florencia & Rossi, Martín A. & Urzúa, Sergio S., 2013. "The labor market return to an attractive face: Evidence from a field experiment," Economics Letters, Elsevier, vol. 118(1), pages 170-172.
    12. Berkman, Lisa F. & Glass, Thomas & Brissette, Ian & Seeman, Teresa E., 2000. "From social integration to health: Durkheim in the new millennium," Social Science & Medicine, Elsevier, vol. 51(6), pages 843-857, September.
    13. Ian M. Schmutte, 2015. "Job Referral Networks and the Determination of Earnings in Local Labor Markets," Journal of Labor Economics, University of Chicago Press, vol. 33(1), pages 1-32.
    14. Sarah Marchal & Wim Van Lancker, 2019. "The Measurement of Targeting Design in Complex Welfare States: A Proposal and Empirical Applications," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(2), pages 693-726, June.
    15. Fletcher, Jason M., 2009. "Beauty vs. brains: Early labor market outcomes of high school graduates," Economics Letters, Elsevier, vol. 105(3), pages 321-325, December.
    16. Amable, Bruno, 2016. "Institutional complementarities in the dynamic comparative analysis of capitalism," Journal of Institutional Economics, Cambridge University Press, vol. 12(1), pages 79-103, March.
    17. Robert H. Frank, 2016. "Success and Luck: Good Fortune and the Myth of Meritocracy," Economics Books, Princeton University Press, edition 1, number 10663.
    18. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 years," NBER Working Papers 16138, National Bureau of Economic Research, Inc.
    19. Melanie K. Jones, 2008. "Disability and the labour market: a review of the empirical evidence," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 35(5), pages 405-424, September.
    20. McCartney, Gerry & Collins, Chik & Mackenzie, Mhairi, 2013. "What (or who) causes health inequalities: Theories, evidence and implications?," Health Policy, Elsevier, vol. 113(3), pages 221-227.
    21. Hobolt, Sara B. & Leeper, Thomas J. & Tilley, James, 2021. "Divided by the Vote: Affective Polarization in the Wake of the Brexit Referendum," British Journal of Political Science, Cambridge University Press, vol. 51(4), pages 1476-1493, October.
    22. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    23. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    24. Titus Galama, 2011. "A Contribution to Health Capital Theory," Working Papers WR-831, RAND Corporation.
    25. Jacob S. Hacker & Paul Pierson, 2010. "Winner-Take-All Politics: Public Policy, Political Organization, and the Precipitous Rise of Top Incomes in the United States," Politics & Society, , vol. 38(2), pages 152-204, June.
    26. Alessandro Pluchino & Alessio Emanuele Biondo & Andrea Rapisarda, 2018. "Talent Versus Luck: The Role Of Randomness In Success And Failure," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(03n04), pages 1-31, May.
    27. repec:dau:papers:123456789/10510 is not listed on IDEAS
    28. Oreffice, Sonia & Quintana-Domeque, Climent, 2016. "Beauty, body size and wages: Evidence from a unique data set," Economics & Human Biology, Elsevier, vol. 22(C), pages 24-34.
    29. Gerdtham, U. -G. & Johannesson, M. & Lundberg, L. & Isacson, D., 1999. "The demand for health: results from new measures of health capital," European Journal of Political Economy, Elsevier, vol. 15(3), pages 501-521, September.
    30. Richard Breen, 2019. "Education and intergenerational social mobility in the US and four European countries," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 35(3), pages 445-466.
    31. Shayo, Moses, 2009. "A Model of Social Identity with an Application to Political Economy: Nation, Class, and Redistribution," American Political Science Review, Cambridge University Press, vol. 103(2), pages 147-174, May.
    32. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    33. Melanie K. Jones, 2008. "Disability and the labour market: a review of the empirical evidence," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 35(5), pages 405-424, September.
    Full references (including those not matched with items on IDEAS)

    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. Thor Berger & Carl Benedikt Frey, 2016. "Structural Transformation in the OECD: Digitalisation, Deindustrialisation and the Future of Work," OECD Social, Employment and Migration Working Papers 193, OECD Publishing.
    2. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    3. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    4. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    5. Usabiaga, Carlos & Núñez, Fernando & Arendt, Lukasz & Gałecka-Burdziak, Ewa & Pater, Robert, 2022. "Skill requirements and labour polarisation: An association analysis based on Polish online job offers," Economic Modelling, Elsevier, vol. 115(C).
    6. Hensvik, Lena & Skans, Oskar Nordström, 2023. "The skill-specific impact of past and projected occupational decline," Labour Economics, Elsevier, vol. 81(C).
    7. Vivarelli, Marco, 2018. "Globalisation, structural change and innovation in emerging economies: The impact on employment and skills," MERIT Working Papers 2018-037, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    9. Genz Sabrina & Janser Markus & Lehmer Florian, 2019. "The Impact of Investments in New Digital Technologies on Wages – Worker-Level Evidence from Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 483-521, June.
    10. Gravina, Antonio Francesco & Foster-McGregor, Neil, 2020. "Automation, globalisation and relative wages: An empirical analysis of winners and losers," MERIT Working Papers 2020-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Du, Longzheng & Lin, Weifen, 2022. "Does the application of industrial robots overcome the Solow paradox? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    12. Domini, Giacomo & Grazzi, Marco & Moschella, Daniele & Treibich, Tania, 2021. "Threats and opportunities in the digital era: Automation spikes and employment dynamics," Research Policy, Elsevier, vol. 50(7).
    13. Niu, Meng & Wang, Zhenguo & Zhang, Yabin, 2022. "How information and communication technology drives (routine and non-routine) jobs: Structural path and decomposition analysis for China," Telecommunications Policy, Elsevier, vol. 46(1).
    14. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    15. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    16. Jelena Reljic & Rinaldo Evangelista & Mario Pianta, 2019. "Digital technologies, employment and skills," LEM Papers Series 2019/36, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. Georg Graetz, 2019. "Labor Demand in the Past, Present, and Future," European Economy - Discussion Papers 114, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    18. Genz Sabrina & Janser Markus & Lehmer Florian, 2019. "The Impact of Investments in New Digital Technologies on Wages – Worker-Level Evidence from Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 483-521, June.
    19. de Vries, Gaaitzen J. & Gentile, Elisabetta & Miroudot, Sébastien & Wacker, Konstantin M., 2020. "The rise of robots and the fall of routine jobs," Labour Economics, Elsevier, vol. 66(C).
    20. Eleftheria KOLOKYTHA & Georgios KOLOKYTHAS & Fotini PERDIKI & Stavros VALSAMIDIS, 2018. "Labour Job Digitalization: Myths And Realities," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 17(2), pages 3-18.

    More about this item

    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:plo:pone00:0296443. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.