IDEAS home Printed from https://ideas.repec.org/p/qss/dqsswp/1402.html
   My bibliography  Save this paper

The link between family background and later lifetime income: how does the UK compare to other countries?

Author

Listed:
  • John Jerrim

    (Department of Quantitative Social Science, Institute of Education, University of London)

Abstract

The link between family background and labour market outcomes is an issue of great academic, social and political concern. It is frequently claimed that such intergenerational associations are stronger in Britain than other countries. But is this really true? I investigate this issue by estimating the link between parental education and later lifetime income, using three cross-nationally comparable datasets covering more than 30 countries. My results suggest that the UK is broadly in the middle of the cross-country rankings, with intergenerational associations notably stronger than in Scandinavia but weaker than in Eastern Europe. Overall, I find only limited support for claims that family background is a greater barrier to economic success in Britain than other parts of the developed world.

Suggested Citation

  • John Jerrim, 2014. "The link between family background and later lifetime income: how does the UK compare to other countries?," DoQSS Working Papers 14-02, Quantitative Social Science - UCL Social Research Institute, University College London.
  • Handle: RePEc:qss:dqsswp:1402
    as

    Download full text from publisher

    File URL: https://repec.ucl.ac.uk/REPEc/pdf/qsswp1402.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arnaud Chevalier & Colm Harmon & Vincent O’ Sullivan & Ian Walker, 2013. "The impact of parental income and education on the schooling of their children," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-22, December.
    2. Jantti, Markus & Bratsberg, Bernt & Roed, Knut & Raaum, Oddbjorn & Naylor, Robin & Osterbacka, Eva & Bjorklund, Anders & Eriksson, Tor, 2005. "American exceptionalism in a new light: a comparison of intergenerational earnings mobility in the Nordic countries, the United Kingdom and the United States," Economic Research Papers 269752, University of Warwick - Department of Economics.
    3. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    4. Matt Dickson & Paul Gregg & Harriet Robinson, 2016. "Early, Late or Never? When Does Parental Education Impact Child Outcomes?," Economic Journal, Royal Economic Society, vol. 126(596), pages 184-231, October.
    5. repec:bri:cmpowp:12/298 is not listed on IDEAS
    6. Ganzeboom, H.B.G. & de Graaf, P.M. & Treiman, D.J. & de Leeuw, J., 1992. "A standard international socio-economic index of occupational status," WORC Paper 92.01.001/1, Tilburg University, Work and Organization Research Centre.
    7. Steedman, Hilary & McIntosh, Steven, 2001. "Measuring Low Skills in Europe: How Useful Is the ISCED Framework?," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 564-581, July.
    8. Blanden, Jo, 2013. "Cross-national rankings of intergenerational mobility: a comparison of approaches from economics and sociology," LSE Research Online Documents on Economics 59310, London School of Economics and Political Science, LSE Library.
    9. Gary Solon, 2002. "Cross-Country Differences in Intergenerational Earnings Mobility," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 59-66, Summer.
    10. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    11. John Jerrim, 2012. "The socio-economic gradient in teenagers' literacy skills: how does England compare to other countries?," DoQSS Working Papers 12-04, Quantitative Social Science - UCL Social Research Institute, University College London.
    12. Gary Marks, 2011. "Issues in the Conceptualisation and Measurement of Socioeconomic Background: Do Different Measures Generate Different Conclusions?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 104(2), pages 225-251, November.
    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. Paul Gregg & Lindsey Macmillan & Claudia Vittori, 2015. "Nonlinear Estimation of Lifetime Intergenerational Economic Mobility and the Role of Education," DoQSS Working Papers 15-03, Quantitative Social Science - UCL Social Research Institute, University College London.
    2. Silvia Avram & Olga Canto, 2016. "Labour outcomes and family background: Evidence from the EU during the recession," Working Papers 414, ECINEQ, Society for the Study of Economic Inequality.
    3. John Jerrim & Lindsey Macmillan, 2014. "Income inequality, intergenerational mobility and the Great Gatsby Curve: is education the key?," DoQSS Working Papers 14-18, Quantitative Social Science - UCL Social Research Institute, University College London.
    4. Golo Henseke, 2018. "Good jobs, good pay, better health? The effects of job quality on health among older European workers," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(1), pages 59-73, January.

    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. Silvia Avram & Olga Canto, 2016. "Labour outcomes and family background: Evidence from the EU during the recession," Working Papers 414, ECINEQ, Society for the Study of Economic Inequality.
    2. Rasmus Landersø & James J. Heckman, 2017. "The Scandinavian Fantasy: Sources of Intergenerational Mobility in Denmark and the US," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(1), pages 178-230, January.
    3. Catherine Haeck & Pierre Lefebvre, 2020. "The Evolution of Cognitive Skills Inequalities by Socioeconomic Status across Canada," Working Papers 20-04, Research Group on Human Capital, University of Quebec in Montreal's School of Management.
    4. Raitano Michele & Vona Francesco, 2018. "From the Cradle to the Grave: The Influence of Family Background on the Career Path of Italian Men," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1062-1088, December.
    5. Huebener, Mathias, 2015. "The role of paternal risk attitudes in long-run education outcomes and intergenerational mobility," Economics of Education Review, Elsevier, vol. 47(C), pages 64-79.
    6. repec:hal:spmain:info:hdl:2441/7d426vdmrr8am8khcm1fvu5adl is not listed on IDEAS
    7. Mazzonna, Fabrizio, 2014. "The long-lasting effects of family background: A European cross-country comparison," Economics of Education Review, Elsevier, vol. 40(C), pages 25-42.
    8. Bevis, Leah E.M. & Barrett, Christopher B., 2015. "Decomposing Intergenerational Income Elasticity: The Gender-differentiated Contribution of Capital Transmission in Rural Philippines," World Development, Elsevier, vol. 74(C), pages 233-252.
    9. Quheng Deng & Björn Gustafsson & Shi Li, 2013. "Intergenerational Income Persistence in Urban China," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(3), pages 416-436, September.
    10. Alyssa Schneebaum & Bernhard Rumplmaier & Wilfried Altzinger, 2015. "Gender in intergenerational educational persistence across time and place," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(2), pages 413-445, May.
    11. repec:hal:spmain:info:hdl:2441/1vv4tl36f973o2k8aljdj1kll is not listed on IDEAS
    12. Brezis, Elise S. & Hellier, Joël, 2018. "Social mobility at the top and the higher education system," European Journal of Political Economy, Elsevier, vol. 52(C), pages 36-54.
    13. Maciej Jakubowski, 2015. "Latent variables and propensity score matching: a simulation study with application to data from the Programme for International Student Assessment in Poland," Empirical Economics, Springer, vol. 48(3), pages 1287-1325, May.
    14. Neidhöfer, Guido & Serrano, Joaquín & Gasparini, Leonardo, 2018. "Educational inequality and intergenerational mobility in Latin America: A new database," Journal of Development Economics, Elsevier, vol. 134(C), pages 329-349.
    15. Corak, Miles & Curtis, Lori & Phipps, Shelley, 2010. "Economic Mobility, Family Background, and the Well-Being of Children in the United States and Canada," IZA Discussion Papers 4814, Institute of Labor Economics (IZA).
    16. 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.
    17. Gabriela Schütz & Heinrich W. Ursprung & Ludger Wößmann, 2008. "Education Policy and Equality of Opportunity," Kyklos, Wiley Blackwell, vol. 61(2), pages 279-308, May.
    18. Guido Neidhöfer, 2019. "Intergenerational mobility and the rise and fall of inequality: Lessons from Latin America," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(4), pages 499-520, December.
    19. Chenhong Peng & Paul Siu Fai Yip & Yik Wa Law, 2019. "Intergenerational Earnings Mobility and Returns to Education in Hong Kong: A Developed Society with High Economic Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 133-156, May.
    20. Rozinskaya, N. & Drobyshevskaya, T., 2022. "Quantitative estimates of intergenerational mobility," Journal of the New Economic Association, New Economic Association, vol. 57(5), pages 93-111.
    21. Paul Gregg & Lindsey Macmillan & Claudia Vittori, 2017. "Moving Towards Estimating Sons' Lifetime Intergenerational Economic Mobility in the UK," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(1), pages 79-100, February.
    22. Michele Raitano & Francesco Vona, 2013. "Peer heterogeneity, school tracking and students' performances: evidence from PISA 2006," Applied Economics, Taylor & Francis Journals, vol. 45(32), pages 4516-4532, November.

    More about this item

    Keywords

    intergenerational mobility; parental education; income; PIAAC; EU-SILC;
    All these keywords.

    JEL classification:

    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:qss:dqsswp:1402. 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: Dr Neus Bover Fonts (email available below). General contact details of provider: https://edirc.repec.org/data/dqioeuk.html .

    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.