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Socio-economic inequality and academic match among post-compulsory education participants

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  • Maragkou, Konstantina

Abstract

The paper investigates socio-economic gaps in the match between student quality and upper-secondary qualification quality using detailed individual-level linked administrative data from schools, colleges and tax authorities in England. Academic match is identified using a continuous measure defining undermatched, matched and overmatched students based on the distance between each student’s attainment in age 16 high-stake examinations and the median attainment of students who achieved a similar academic or vocational qualification. Students from socially disadvantaged backgrounds are found to be more likely to be exposed to academic undermatch compared to their more advantaged peers and this effect is greater among the highest achieving students. The paper demonstrates that among the highest achieving students, 20% of the identified socio-economic gap in academic match can be explained by geographic differences, such as district deprivation and local Further Education opportunities. Further, the dominant 60% of the gap can be explained by differences in the school composition that students from differing backgrounds attend, such as the proportion of high achieving students and the proportion of disadvantaged students. Finally, although the effect of academic match in upper-secondary education on important individual outcomes, including university participation and labour market performance, in terms of earnings and employment probabilities at age 25, is imprecise, there are clear indications about the detrimental effect of academic undermatch on all these outcomes.

Suggested Citation

  • Maragkou, Konstantina, 2020. "Socio-economic inequality and academic match among post-compulsory education participants," Economics of Education Review, Elsevier, vol. 79(C).
  • Handle: RePEc:eee:ecoedu:v:79:y:2020:i:c:s027277572030546x
    DOI: 10.1016/j.econedurev.2020.102060
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    References listed on IDEAS

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    1. Andrew S. Belasco & Michael J. Trivette, 2015. "Aiming Low: Estimating the Scope and Predictors of Postsecondary Undermatch," The Journal of Higher Education, Taylor & Francis Journals, vol. 86(2), pages 233-263, March.
    2. Haroon Chowdry & Claire Crawford & Lorraine Dearden & Alissa Goodman & Anna Vignoles, 2013. "Widening participation in higher education: analysis using linked administrative data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 431-457, February.
    3. Stuart Campbell & Lindsey Macmillan & Richard Murphy & Gill Wyness, 2019. "Inequalities in student to course match: evidence from linked administrative data," CEP Discussion Papers dp1647, Centre for Economic Performance, LSE.
    4. Claire Crawford, 2014. "Socio-economic differences in university outcomes in the UK: drop-out, degree completion and degree class," IFS Working Papers W14/31, Institute for Fiscal Studies.
    5. Claudia Hupkau & Sandra McNally & Jenifer Ruiz-Valenzuela & Guglielmo Ventura, 2017. "Post-Compulsory Education in England: Choices and Implications," National Institute Economic Review, National Institute of Economic and Social Research, vol. 240(1), pages 42-57, May.
    6. Caroline Hoxby & Christopher Avery, 2013. "The Missing "One-Offs": The Hidden Supply of High-Achieving, Low-Income Students," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(1 (Spring), pages 1-65.
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    8. Smith, Jonathan & Pender, Matea & Howell, Jessica, 2013. "The full extent of student-college academic undermatch," Economics of Education Review, Elsevier, vol. 32(C), pages 247-261.
    9. Gibbons, Steve & Machin, Stephen, 2003. "Valuing English primary schools," Journal of Urban Economics, Elsevier, vol. 53(2), pages 197-219, March.
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    Cited by:

    1. Zhu,Yu & Xu, Lei, 2022. "Returns to Higher Education - Graduate and Discipline Premiums," GLO Discussion Paper Series 1091, Global Labor Organization (GLO).
    2. Tan, Weiqiang & Xie, Chenxin & Ye, Dezhu, 2024. "Do urban educational resources affect corporate labor costs?," Economic Modelling, Elsevier, vol. 130(C).

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    More about this item

    Keywords

    Academic undermatch; Upper-secondary education; Inequality; Social mobility;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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