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Russian Unified National Exams (UNE) and academic performance of ICEF HSE students

Author

Listed:
  • Oleg Zamkov

    (ICEF, Higher School of Economics, Moscow, Russia)

  • Anatoly Peresetsky

    (Higher School of Economics, Moscow, Russia)

Abstract

Starting from 2008, the admission to the BSc program at the ICEF (NRU HSE) is done by the UNE results. 2008 was a transition year: both UNE and internal HSE exams results were counted. Since 2009 the regulations stay stable — only the UNE and Olympiads’ results have been taken into account. In the article the academic success factors for the students admitted in 2009–2011, after 1, 2, and 3 years of study, are analyzed. It has been shown that the students — Olympiads’ winners consistently show better results than other students, other factors equal. The UNE results are still significant for academic performance forecast after 3 years of study. But the final rating of the student after the first year accumulates almost completely the information which the UNE and Olympiads results contain. Region of a student’s school is not significant and gender is marginally significant for future academic performance.

Suggested Citation

  • 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.
    • Handle: RePEc:ris:apltrx:0212
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    References listed on IDEAS

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    1. John V.C. Nye & Grigory Androuschak & Desirée Desierto & Garett Jones & Maria Yudkevich, 2012. "2D : 4D Asymmetry and Gender Differences in Academic Performance : Evidence from Moscow and Manila," UP School of Economics Discussion Papers 201203, University of the Philippines School of Economics.
    2. repec:cdl:econwp:qt59s4j4m4 is not listed on IDEAS
    3. 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.
    4. 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.
    5. Robinson, Michael & Monks, James, 2005. "Making SAT scores optional in selective college admissions: a case study," Economics of Education Review, Elsevier, vol. 24(4), pages 393-405, August.
    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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    Citations

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    Cited by:

    1. 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.
    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. Timur Magzhanov & Anna Sagradyan, 2023. "Ambiguous high scores: The All-Russian Olympiad in economics during the COVID-19 pandemic," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 70, pages 89-108.
    4. 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.

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    JEL classification:

    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • P36 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty

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