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Inequalities in student to course match: evidence from linked administrative data

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  • Campbell, Stuart
  • Macmillan, Lindsey
  • Murphy, Richard
  • Wyness, Gill

Abstract

This paper examines inequalities in the match between student quality and university quality using linked administrative data from schools, universities and tax authorities. We analyse two measures of match at the university-subject (course) level, based on student academic attainment, and graduate earnings. We find that students from lower socio-economic groups systematically undermatch for both measures across the distribution of attainment, with particularly stark socio-economic gaps for the most undermatched. While there are negligible gender gaps in academic match, high-attaining women systematically undermatch in terms of expected earnings, largely driven by subject choice.

Suggested Citation

  • Campbell, Stuart & Macmillan, Lindsey & Murphy, Richard & Wyness, Gill, 2019. "Inequalities in student to course match: evidence from linked administrative data," LSE Research Online Documents on Economics 103413, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:103413
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    File URL: http://eprints.lse.ac.uk/103413/
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    1. 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.
    2. Lance J. Lochner & Alexander Monge-Naranjo, 2011. "The Nature of Credit Constraints and Human Capital," American Economic Review, American Economic Association, vol. 101(6), pages 2487-2529, October.
    3. Philip Oreopoulos & Ryan Dunn, 2013. "Information and College Access: Evidence from a Randomized Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(1), pages 3-26, January.
    4. Pedro Carneiro & James J. Heckman, 2002. "The Evidence on Credit Constraints in Post--secondary Schooling," Economic Journal, Royal Economic Society, vol. 112(482), pages 705-734, October.
    5. 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.
    6. Barr, Nicholas & Chapman, Bruce & Dearden, Lorraine & Dynarski, Susan, 2019. "The US college loans system: Lessons from Australia and England," Economics of Education Review, Elsevier, vol. 71(C), pages 32-48.
    7. Richard Murphy & Judith Scott-Clayton & Gill Wyness, 2017. "The end of free college in England," CentrePiece - The magazine for economic performance 503, Centre for Economic Performance, LSE.
    8. Christopher Avery, 2013. "Evaluation of the College Possible Program: Results from a Randomized Controlled Trial," NBER Working Papers 19562, National Bureau of Economic Research, Inc.
    9. Eleanor Wiske Dillon & Jeffrey Andrew Smith, 2017. "Determinants of the Match between Student Ability and College Quality," Journal of Labor Economics, University of Chicago Press, vol. 35(1), pages 45-66.
    10. 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.
    11. David Card & A. Abigail Payne, 2021. "High School Choices And The Gender Gap In Stem," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 9-28, January.
    12. Audrey Light & Wayne Strayer, 2000. "Determinants of College Completion: School Quality or Student Ability?," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 299-332.
    13. Sandra E. Black & Kalena E. Cortes & Jane Arnold Lincove, 2015. "Academic Undermatching of High-Achieving Minority Students: Evidence from Race-Neutral and Holistic Admissions Policies," American Economic Review, American Economic Association, vol. 105(5), pages 604-610, May.
    14. Caroline M. Hoxby & Sarah Turner, 2015. "What High-Achieving Low-Income Students Know about College," American Economic Review, American Economic Association, vol. 105(5), pages 514-517, May.
    15. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    16. Martin McGuigan & Sandra McNally & Gill Wyness, 2016. "Student Awareness of Costs and Benefits of Educational Decisions: Effects of an Information Campaign," Journal of Human Capital, University of Chicago Press, vol. 10(4), pages 482-519.
    17. Eleanor Wiske Dillon & Jeffrey Andrew Smith, 2020. "The Consequences of Academic Match between Students and Colleges," Journal of Human Resources, University of Wisconsin Press, vol. 55(3), pages 767-808.
    18. Susan Dynarski & C.J. Libassi & Katherine Michelmore & Stephanie Owen, 2018. "Closing the Gap: The Effect of a Targeted, Tuition-Free Promise on College Choices of High-Achieving, Low-Income Students," NBER Working Papers 25349, National Bureau of Economic Research, Inc.
    19. Sandra McNally, 2016. "How important is career information and advice?," IZA World of Labor, Institute of Labor Economics (IZA), pages 317-317, December.
    20. Murphy, Richard & Scott-Clayton, Judith & Wyness, Gill, 2019. "The end of free college in England: Implications for enrolments, equity, and quality," Economics of Education Review, Elsevier, vol. 71(C), pages 7-22.
    21. Gibbons, Stephen & Vignoles, Anna, 2012. "Geography, choice and participation in higher education in England," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 98-113.
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    Cited by:

    1. Adam Altmejd & Andrés Barrios-Fernández & Marin Drlje & Joshua Goodman & Michael Hurwitz & Dejan Kovac & Christine Mulhern & Christopher Neilson & Jonathan Smith, 2021. "O Brother, Where Start Thou? Sibling Spillovers on College and Major Choice in Four Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1831-1886.
    2. Maragkou, Konstantina, 2020. "Socio-economic inequality and academic match among post-compulsory education participants," Economics of Education Review, Elsevier, vol. 79(C).
    3. Delaney, Judith M. & Devereux, Paul J., 2020. "Choosing differently? College application behavior and the persistence of educational advantage," Economics of Education Review, Elsevier, vol. 77(C).
    4. Britton, Jack & van der Erve, Laura & Belfield, Chris & Vignoles, Anna & Dickson, Matt & Zhu, Yu & Walker, Ian & Dearden, Lorraine & Sibieta, Luke & Buscha, Franz, 2022. "How much does degree choice matter?," Labour Economics, Elsevier, vol. 79(C).
    5. Joshua Goodman & Michael Hurwitz & Christine Mulhern & Jonathan Smith, 2019. "O Brother, Where Start Thou? Sibling Spillovers in College Enrollment," NBER Working Papers 26502, National Bureau of Economic Research, Inc.
    6. Delaney, Judith M. & Devereux, Paul J., 2021. "Gender differences in college applications: Aspiration and risk management," Economics of Education Review, Elsevier, vol. 80(C).
    7. Gillian Wyness & Richard Murphy, 2020. "What is the nature and extent of student–university mismatch?," IZA World of Labor, Institute of Labor Economics (IZA), pages 477-477, June.

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    More about this item

    Keywords

    higher education; educational economics; college choice; mismatch; undermatch; education;
    All these keywords.

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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