IDEAS home Printed from https://ideas.repec.org/p/unm/umaror/2013001.html
   My bibliography  Save this paper

Social background's effect of educational attainment: Does method matter?

Author

Listed:
  • Büchner, C.I.R.

    (Externe publicaties SBE)

  • van der Velden, R.K.W.

    (Research Centre for Educ and Labour Mark)

  • Wolbers, M.H.J.

Abstract

Social background directly impacts educational choice and attainment, but also influences choice and attainment indirectly by affecting school performance. Boudon (1974) described this relationship as primary (indirect) and secondary (direct) effects of social stratification. Based on this approach and Mare’s sequential transition model, we decompose this impact to analyze these effects’ relative importance at various stages over the school career. Using Dutch panel data of three school cohorts, we can assess whether primary and secondary effects’ relative importance has been stable over time. We use different statistical methods to assess the results’ robustness. Our findings show secondary effects have a decreasing impact at the first transition over time but a rather stable and in some cases increasing impact at the educational career’s later stages. As a result, the cumulative share of secondary effects on educational attainment is stable over time, at least if one examines the last two cohorts. When using ordinary least squares (OLS) or counterfactual models, secondary effects amount to some 55% of social background’s total effect. However, using structural equation modeling that allows for taking into account measurement error in performance tests and social background, secondary effects’ relative importance amounts to some 45%. This result suggests method does matter for numerical closeness. Nevertheless, the findings of all models used in this study point in the same direction and suggest that preferences and expectations of aspiring higher educational levels remain strongly associated with social background.

Suggested Citation

  • Büchner, C.I.R. & van der Velden, R.K.W. & Wolbers, M.H.J., 2013. "Social background's effect of educational attainment: Does method matter?," ROA Research Memorandum 001, Maastricht University, Research Centre for Education and the Labour Market (ROA).
  • Handle: RePEc:unm:umaror:2013001
    DOI: 10.26481/umaror.2013001
    as

    Download full text from publisher

    File URL: https://cris.maastrichtuniversity.nl/ws/files/1510291/guid-94946267-24cf-4174-b9ec-52ff63de64ca-ASSET1.0.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.26481/umaror.2013001?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. James J. Heckman, 2007. "The Economics, Technology and Neuroscience of Human Capability Formation," NBER Working Papers 13195, National Bureau of Economic Research, Inc.
    2. Maarten L. Buis, 2010. "Direct and indirect effects in a logit model," Stata Journal, StataCorp LP, vol. 10(1), pages 11-29, March.
    3. Robert Erikson & John H. Goldthorpe, 2002. "Intergenerational Inequality: A Sociological Perspective," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 31-44, Summer.
    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. Dhiman Das, 2019. "Academic Resilience Among Children from Disadvantaged Social Groups in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 719-739, September.
    2. Giacomo De Giorgi & Michele Pellizzari & William Gui Woolston, 2012. "Class Size And Class Heterogeneity," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 795-830, August.
    3. María Davia & Nuria Legazpe, 2015. "Educational attainment and maternity in Spain: not only “when” but also “how”," Review of Economics of the Household, Springer, vol. 13(4), pages 871-900, December.
    4. Michelle Kelly-Irving & Silke Tophoven & David Blane, 2015. "Life course research: new opportunities for establishing social and biological plausibility," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(6), pages 629-630, September.
    5. Lin, Dajun & Lutter, Randall & Ruhm, Christopher J., 2018. "Cognitive performance and labour market outcomes," Labour Economics, Elsevier, vol. 51(C), pages 121-135.
    6. Huang, Wei & Zhou, Yi, 2013. "Effects of education on cognition at older ages: Evidence from China's Great Famine," Social Science & Medicine, Elsevier, vol. 98(C), pages 54-62.
    7. Holla,Alaka & Bendini,Maria Magdalena & Dinarte Diaz,Lelys Ileana & Trako,Iva, 2021. "Is Investment in Preprimary Education Too Low ? Lessons from (Quasi) ExperimentalEvidence across Countries," Policy Research Working Paper Series 9723, The World Bank.
    8. Raymond Hicks & Dustin Tingley, 2011. "Causal mediation analysis," Stata Journal, StataCorp LP, vol. 11(4), pages 605-619, December.
    9. Maclean, Johanna Catherine & Popovici, Ioana & French, Michael T., 2016. "Are natural disasters in early childhood associated with mental health and substance use disorders as an adult?," Social Science & Medicine, Elsevier, vol. 151(C), pages 78-91.
    10. Yu, Linyue & Wilcox-Gök, Virginia, 2015. "The impact of maternal depression on children’s cognitive development: An analysis based on panel quantile regressions," Economics Letters, Elsevier, vol. 126(C), pages 107-109.
    11. Khalil, Elias L., 2010. "The Bayesian fallacy: Distinguishing internal motivations and religious beliefs from other beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 268-280, August.
    12. Arthi, Vellore & Parman, John, 2021. "Disease, downturns, and wellbeing: Economic history and the long-run impacts of COVID-19," Explorations in Economic History, Elsevier, vol. 79(C).
    13. Sánchez, Alan & Favara, Marta & Sheridan, Margaret & Behrman, Jere, 2024. "Does early nutrition predict cognitive skills during later childhood? Evidence from two developing countries," World Development, Elsevier, vol. 176(C).
    14. Jonathan Colmer, 2013. "Climate Variability, Child Labour and Schooling: Evidence on the Intensive and Extensive Margin," GRI Working Papers 132, Grantham Research Institute on Climate Change and the Environment.
    15. By Tyas Prevoo & Bas ter Weel, 2015. "The importance of early conscientiousness for socio-economic outcomes: evidence from the British Cohort Study," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 918-948.
    16. Albanesi, Stefania & Olivetti, Claudia & Petrongolo, Barbara, 2022. "Families, labor markets and policy," LSE Research Online Documents on Economics 118038, London School of Economics and Political Science, LSE Library.
    17. Tia Palermo & Sudhanshu Handa & Amber Peterman & Leah Prencipe & David Seidenfeld, 2016. "Unconditional government social cash transfer in Africa does not increase fertility," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(4), pages 1083-1111, October.
    18. Alzúa, María Laura & Katzkowicz, Noemí, 2021. "Pay for performance for prenatal care and newborn health: Evidence from a developing country," World Development, Elsevier, vol. 141(C).
    19. Schultz-Nielsen, Marie Louise & Tekin, Erdal & Greve, Jane, 2016. "Labor market effects of intrauterine exposure to nutritional deficiency: Evidence from administrative data on Muslim immigrants in Denmark," Economics & Human Biology, Elsevier, vol. 21(C), pages 196-209.
    20. Tim Lohse & Peter Lutz & Christian Thomann, 2013. "Redistributional consequences of early childhood intervention," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(3), pages 373-381, June.

    More about this item

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:unm:umaror:2013001. 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: Andrea Willems or Leonne Portz (email available below). General contact details of provider: https://edirc.repec.org/data/romaanl.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.