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Predicting success in college on the basis of the results of unified national exam

Author

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  • Oleg Poldin

    (Higher School of Economics, Russia)

Abstract

This paper presents the results of econometric study on predicting first-year grade point average and dropout probability with national examination (EGE) results at the bachelor program in Economics in the Higher School of Economics. The use of a sum of four exams — math, social studies, Russian language and foreign language — shows worse fitting than a sum of three exams, excluding foreign language. In models with separate exams as regressors, the greatest effect on dependent variable provides math grades.

Suggested Citation

  • Oleg Poldin, 2011. "Predicting success in college on the basis of the results of unified national exam," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 21(1), pages 56-69.
    • Handle: RePEc:ris:apltrx:0003
    as

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    References listed on IDEAS

    as
    1. Rothstein, J.M.Jesse M., 2004. "College performance predictions and the SAT," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 297-317.
    2. repec:cdl:econwp:qt59s4j4m4 is not listed on IDEAS
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    Citations

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    Cited by:

    1. Gregory Androushchak & Oleg Poldin & Maria Yudkevich, 2012. "Peer effects in exogenously formed student groups," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 26(2), pages 3-16.
    2. Oleg Poldin & Vera Silaeva & Andrey Silaev, 2014. "Comparing quality of admission to universities by the results of olympiads and unified state exams scores," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 36(4), pages 118-132.
    3. Oleg Zamkov & Anatoly Peresetsky, 2013. "Russian Unified National Exams (UNE) and academic performance of ICEF HSE students," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 30(2), pages 93-114.
    4. Ilya Prakhov, 2012. "The unified state examination and the determinants of academic achievement: Does investment in pre-entry coaching matter?," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 27(3), pages 86-108.
    5. Ilya Prakhov, 2019. "The Determinants Of Expected Returns On Higher Education In Russia: A Human Capital Theory Perspective," HSE Working papers WP BRP 50/EDU/2019, National Research University Higher School of Economics.
    6. Ekaterina Kochergina & Ilya Prakhov, 2016. "Relationships between Risk Attitude, Academic Performance, and the Likelihood of Drop-outs," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 206-228.
    7. Anatoly Peresetsky & Misak Davtian, 2011. "Russian USE and olympiads as instruments for university admission selection," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 23(3), pages 41-56.
    8. Evgeniya Popova & Marina Sheina, 2017. "Does Studying in a Strong School Guarantee Good College Performance?," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 128-157.

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    Keywords

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    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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