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Does an aptitude test affect socioeconomic and gender gaps in attendance at an elite university?

Listed author(s):
  • Jake Anders


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

The increasing use of aptitude tests as part of the admissions processes at elite English universities potentially has significant implications for fair access to these institutions. I attempt to isolate the impact of the introduction of one such test on the proportion of successful applicants by school type (as a proxy for socioeconomic status) and by gender using a difference in differences approach and administrative data from the University of Oxford. The introduction of the test coincided with the implementation of a guideline number of interviews per available place, significantly reducing the proportion of applicants offered an interview (by 14 percentage points) and, hence, increasing the proportion of interviewees offered places (by 3.6 percentage points). By gender, I find some evidence that these changes may be having differing effects at different stages of the admissions process, but not on each group's overall chances of securing an offer. I do not find any evidence that the policy has negative side effects on the chances of applicants from less advantaged socioeconomic backgrounds at any stage of the process.

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Paper provided by Department of Quantitative Social Science - UCL Institute of Education, University College London in its series DoQSS Working Papers with number 14-07.

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Date of creation: 03 Apr 2014
Handle: RePEc:qss:dqsswp:1407
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Department of Quantitative Social Science. UCL IOE, 20 Bedford Way London WC1H 0AL

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  1. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  2. Jake Anders, 2012. "Using the Longitudinal Study of Young People in England for research into Higher Education access," DoQSS Working Papers 12-13, Department of Quantitative Social Science - UCL Institute of Education, University College London.
  3. Jake Anders, 2012. "The Link between Household Income, University Applications and University Attendance," Fiscal Studies, Institute for Fiscal Studies, vol. 33(2), pages 185-210, 06.
  4. Parente Paulo M.D.C. & Santos Silva João M.C., 2016. "Quantile Regression with Clustered Data," Journal of Econometric Methods, De Gruyter, vol. 5(1), pages 1-15, January.
  5. repec:esx:essedp:728 is not listed on IDEAS
  6. Rothstein, J.M.Jesse M., 2004. "College performance predictions and the SAT," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 297-317.
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