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Doctor Who? Who Gets Admission Offers in UK Medical Schools

Author

Listed:
  • Arulampalam, Wiji

    (University of Warwick)

  • Naylor, Robin

    (University of Warwick)

  • Smith, Jeremy

    (University of Warwick)

Abstract

In the context of the UK Government’s ambitious programme of medical school expansion, it is important to have an understanding of how the medical school admissions process works, and with what effects. The issue is also relevant for the Schwartz Review (2004) into higher education admissions. Using individual-level data for two entire cohorts of medical student applicants in UK universities and exploiting the panel structure of the applicant-medical school information, we estimate models to analyse the probability that an individual student receives an offer of a place. We find that prior qualifications, school type, gender, age, social class and ethnic background are major influences on whether a student receives an offer from a medical school. We also find that the probability of receiving an offer from a particular medical school is influenced by the identity of other medical schools applied to. Finally, we find evidence that certain groups of applicants are particularly disadvantaged the later they apply within the application process.

Suggested Citation

  • Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2005. "Doctor Who? Who Gets Admission Offers in UK Medical Schools," IZA Discussion Papers 1775, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp1775
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    References listed on IDEAS

    as
    1. Wiji Arulampalam & Robin A. Naylor & Jeremy P. Smith, 2004. "A hazard model of the probability of medical school drop‐out in the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(1), pages 157-178, February.
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    4. Andrews, Donald W K, 2001. "Testing When a Parameter Is on the Boundary of the Maintained Hypothesis," Econometrica, Econometric Society, vol. 69(3), pages 683-734, May.
    5. Arnaud Chevalier & Gavan Conlon, 2003. "Does it pay to attend a prestigious university?," CEE Discussion Papers 0033, Centre for the Economics of Education, LSE.
    6. Dominic J. Brewer & Eric Eide & Ronald G. Ehrenberg, 1996. "Does It Pay To Attend An Elite Private College? Cross Cohort Evidence on the Effects of College Quality on Earnings," NBER Working Papers 5613, National Bureau of Economic Research, Inc.
    7. Audrey Light & Wayne Strayer, 2002. "From Bakke To Hopwood: Does Race Affect College Attendance And Completion?," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 34-44, February.
    8. Dominic J. Brewer & Eric R. Eide & Ronald G. Ehrenberg, 1999. "Does It Pay to Attend an Elite Private College? Cross-Cohort Evidence on the Effects of College Type on Earnings," Journal of Human Resources, University of Wisconsin Press, vol. 34(1), pages 104-123.
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    Cited by:

    1. Carmen Aina & Cheti Nicoletti, 2014. "The intergenerational transmission of liberal professions: nepotism versus abilities," Discussion Papers 14/14, Department of Economics, University of York.
    2. Idaira Rodríguez-Santana & Martin Chalkley, 2015. "The socioeconomic and demographic characteristics of United Kingdom junior doctors in training across specialities," Working Papers 119cherp, Centre for Health Economics, University of York.
    3. Nicoletti, Cheti & Aina, Carmen, 2014. "The intergenerational mobility of liberal professions: nepotism versus abilities," ISER Working Paper Series 2014-39, Institute for Social and Economic Research.

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    More about this item

    Keywords

    medical students; admissions; offer (non-rejection) probabilities; endogenous selection; unobserved heterogeneity;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I2 - Health, Education, and Welfare - - Education
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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