IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0212.html
   My bibliography  Save this article

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

Author

Listed:
  • Zamkov, Oleg

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

  • Peresetsky, Anatoly

    (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

  • Zamkov, Oleg & Peresetsky, Anatoly, 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
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2013_2_93-114.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Rothstein, Jesse M, 2004. "College performance predictions and the SAT," Department of Economics, Working Paper Series qt59s4j4m4, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. Poldin, Oleg, 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. Peresetsky, Anatoly & Davtian, Misak, 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Poldin, Oleg & Silaeva, Vera & Silaev, Andrey, 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. Magzhanov, Timur & Sagradyan, Anna, 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Sezgin Polat & Jean-Jacques Paul, 2016. "How to predict university performance: a case study from a prestigious Turkish university?," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 22, pages 423-434, Asociación de Economía de la Educación.
    3. Conlin, Michael & Dickert-Conlin, Stacy & Chapman, Gabrielle, 2013. "Voluntary disclosure and the strategic behavior of colleges," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 48-64.
    4. Bai, Chong-en & Chi, Wei & Qian, Xiaoye, 2014. "Do college entrance examination scores predict undergraduate GPAs? A tale of two universities," China Economic Review, Elsevier, vol. 30(C), pages 632-647.
    5. Jensen, Elizabeth J. & Wu, Stephen, 2010. "Early decision and college performance," Economics of Education Review, Elsevier, vol. 29(4), pages 517-525, August.
    6. Chapman, Gabrielle & Dickert-Conlin, Stacy, 2012. "Applying early decision: Student and college incentives and outcomes," Economics of Education Review, Elsevier, vol. 31(5), pages 749-763.
    7. Verbetsky, Alexey D. (Вербецкий, Алексей) & Friedman, Alla A. (Фридман, Алла), 2016. "Universities’ Admission Policy and Student Competition [Политика Приема В Вузы И Конкуренция Абитуриентов]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 68-91, October.
    8. Peresetsky, Anatoly & Davtian, Misak, 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.
    9. Bai, Chong-en & Chi, Wei, 2011. "Determinants of undergraduate GPAs in China: college entrance examination scores, high school achievement, and admission route," MPRA Paper 31240, University Library of Munich, Germany.
    10. Peter Bergman, 2020. "Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems," Education Finance and Policy, MIT Press, vol. 15(4), pages 623-647, Fall.
    11. Jesse Rothstein & Albert Yoon, 2006. "Mismatch in Law School," Working Papers 29, Princeton University, School of Public and International Affairs, Education Research Section..
    12. Tatiana Khavenson & Anna Solovyova, 2014. "Studying the Relation between the Unified State Exam Points and Higher Education Performance," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 176-199.
    13. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2017. "Are University Admissions Academically Fair?," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 449-464, July.
    14. Guyonne Kalb & Sholeh A. Maani, 2007. "The Importance of Observing Early School Leaving and Usually Unobserved Background and Peer Characteristics in Analysing Academic Performance," Melbourne Institute Working Paper Series wp2007n05, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    15. Beattie, Graham & Laliberté, Jean-William P. & Oreopoulos, Philip, 2018. "Thrivers and divers: Using non-academic measures to predict college success and failure," Economics of Education Review, Elsevier, vol. 62(C), pages 170-182.
    16. Michelle Rendall & Andrew Rendall, 2013. "Math Matters: Student Ability, College Majors, and Wage Inequality," 2013 Meeting Papers 1196, Society for Economic Dynamics.
    17. Jesse Rothstein, 2019. "Inequality of Educational Opportunity? Schools as Mediators of the Intergenerational Transmission of Income," Journal of Labor Economics, University of Chicago Press, vol. 37(S1), pages 85-123.
    18. Mario I. Suárez & Alan R Dabney & Hersh C Waxman & Timothy P Scott & Adrienne O Bentz, 2021. "Exploring Factors that Predict STEM Persistence at a Large, Public Research University," International Journal of Higher Education, Sciedu Press, vol. 10(4), pages 161-161, August.
    19. Dur, Robert & Glazer, Amihai, 2008. "Subsidizing Enjoyable Education," Labour Economics, Elsevier, vol. 15(5), pages 1023-1039, October.
    20. Richard C. Atkinson and Saul Geiser, 2009. "Reflections on a Century of College Admissions Tests," University of California at Berkeley, Center for Studies in Higher Education qt49z7127p, Center for Studies in Higher Education, UC Berkeley.

    More about this item

    Keywords

    college admissions; Russian Unified National Exam; olympiads; predicting GPA; ICEF HSE; LSE; GPA; predictive power; drop-out probability;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:apltrx:0212. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.