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Econometric assessment of the impact of training in the Moscow national team in economics in online format on the results of schoolchildren in the Russian Olympiad of schoolchildren

Author

Listed:
  • Babayan Vladimir

    (Department of Economics, Lomonosov Moscow State University)

  • Belousov Ivan

    (Department of Economics, Lomonosov Moscow State University)

  • Lesin Vladislav

    (Department of Economics, Lomonosov Moscow State University)

  • Magzhanov Timur

    (Department of Economics, Lomonosov Moscow State University)

  • Telepnev Danila

    (Department of Economics, Lomonosov Moscow State University)

Abstract

This paper demonstrates identifying of the treatment effect of receiving educational training in the Moscow national economics onlineteam on schoolchildren scores at the All-Russian Olympiad in economics. The paper proves efficiency of conducting an online educational platform. To capture the mentioned effect, classical econometric models were used: the regression discontinuity design and the discrete binary choice model. Some specifications of classical multiple regression were also used to identify the time effect and additional evaluation was carried out using the 2 assumption that certain students were randomly included in the control group and the treatment group.

Suggested Citation

  • Babayan Vladimir & Belousov Ivan & Lesin Vladislav & Magzhanov Timur & Telepnev Danila, 2022. "Econometric assessment of the impact of training in the Moscow national team in economics in online format on the results of schoolchildren in the Russian Olympiad of schoolchildren," Working Papers 0047, Moscow State University, Faculty of Economics.
    • Handle: RePEc:upa:wpaper:0047
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    More about this item

    Keywords

    All-Russian Olympiad of schoolchildren (VSOSH); online education; impact effect; discontinuous design model; binary choice model;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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