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School Quality, Exam Performance and Career Choice

Author

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  • Dustmann, C.
  • Rajah, N.
  • van Soest, A.H.O.

    (Tilburg University, Center For Economic Research)

Abstract

The purpose of this paper is to examine the effects of the school quality on performance in national exams and the career decision at age 16. We use micro data from UK, which provides a rich set of variables on parental background, previous achievements, and community variable. We find that, conditional on school type, the pupil-teacher ratio has no effect on examination performance. The pupil-teacher ratio has an effect on career decision at age 16 as to whether to remain in full time education beyond the minimum age.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Dustmann, C. & Rajah, N. & van Soest, A.H.O., 1998. "School Quality, Exam Performance and Career Choice," Discussion Paper 1998-16, Tilburg University, Center for Economic Research.
  • Handle: RePEc:tiu:tiucen:a00aaabe-3eb5-4c67-8d1a-29bf10d4b411
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Regina T. Riphahn, 2002. "Residential location and youth unemployment: The economic geography of school-to-work transitions," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(1), pages 115-135.
    2. Steve Bradley & Rob Crouchley, 2020. "The effects of test scores and truancy on youth unemployment and inactivity: a simultaneous equations approach," Empirical Economics, Springer, vol. 59(4), pages 1799-1831, October.
    3. Regina T. Riphahn, 2010. "Residential Location and Youth Unemployment: The Economic Geography of School-To-Work," Working Papers id:2648, eSocialSciences.
    4. Rosalind Levacic & Stephen Machin & David Reynolds & Anna Vignoles & James Walker, 2000. "The Relationship between Resource Allocation and Pupil Attainment: A Review," CEE Discussion Papers 0002, Centre for the Economics of Education, LSE.
    5. Rosalind Levacic & Anna Vignoles, 2002. "Researching the Links between School Resources and Student Outcomes in the UK: A Review of Issues and Evidence," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 313-331.
    6. Pamela Lenton, 2006. "Where do I go and what should I do? Routes through further education," Working Papers 2006014, The University of Sheffield, Department of Economics, revised Dec 2006.
    7. Ragui Assaad & Christine Binzel & May Gadallah, 2010. "Transitions To Employment And Marriage Among Young Men In Egypt," Middle East Development Journal (MEDJ), World Scientific Publishing Co. Pte. Ltd., vol. 2(01), pages 39-88.
    8. Steve Gibbons, 2002. "Geography, Resources and Primary School Performance," CEE Discussion Papers 0025, Centre for the Economics of Education, LSE.
    9. Steven Bradley & Robert Crouchley, 2017. "The effects of test scores and truancy on youth unemployment and inactivity: A simultaneous equations approach," Working Papers 189398493, Lancaster University Management School, Economics Department.
    10. Duncan McVicar, 2001. "School Quality and Staying-On in Northern Ireland - Resources, Peer Groups and Ethos," The Economic and Social Review, Economic and Social Studies, vol. 32(2), pages 131-151.

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    More about this item

    Keywords

    School inputs; educational attainment; training;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I20 - Health, Education, and Welfare - - Education - - - General

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