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On the development of students’ attitudes towards corruption and cheating in Russian universities

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  • Denisova-Schmidt, Elena
  • Huber, Martin
  • Leontyeva, Elvira

Abstract

Based on empirical data from selected public universities in Khabarovsk, Russia, this paper compares first and fifth year students regarding their attitudes towards corruption in general and university corruption in particular. Even after making both groups of students comparable with respect to a range of socio-economic characteristics by a matching approach, the results suggest that fifth year students are more open to a range of informal and corrupt practices than first years. Our analysis therefore points to the possibility that the Russian higher education system might ‘favor’ compliance with corruption and informal practices, with potentially detrimental consequences for the Russian society as a whole.

Suggested Citation

  • Denisova-Schmidt, Elena & Huber, Martin & Leontyeva, Elvira, 2016. "On the development of students’ attitudes towards corruption and cheating in Russian universities," FSES Working Papers 467, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    • Handle: RePEc:fri:fribow:fribow00467
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    File URL: http://doc.rero.ch/record/258580/files/WP_SES_467.pdf
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    References listed on IDEAS

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    1. Michael Jetter & Jay K. Walker, 2015. "Good girl, bad boy: Corrupt behavior in professional tennis," Documentos de Trabajo de Valor Público 12545, Universidad EAFIT.
    2. Anand V. Swamy & Stephen Knack & Young Lee & Omar Azfar, 2000. "Gender and Corruption," Department of Economics Working Papers 2000-10, Department of Economics, Williams College.
    3. John, Leslie K. & Loewenstein, George & Rick, Scott I., 2014. "Cheating more for less: Upward social comparisons motivate the poorly compensated to cheat," Organizational Behavior and Human Decision Processes, Elsevier, vol. 123(2), pages 101-109.
    4. Philip Shaw & Marina-Selini Katsaiti & Brandon Pecoraro, 2015. "On The Determinants Of Educational Corruption: The Case Of Ukraine," Contemporary Economic Policy, Western Economic Association International, vol. 33(4), pages 698-713, October.
    5. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    6. Swamy, Anand & Knack, Stephen & Lee, Young & Azfar, Omar, 2001. "Gender and corruption," Journal of Development Economics, Elsevier, vol. 64(1), pages 25-55, February.
    7. Osipian, Ararat, 2009. "Education Corruption, Reform, and Growth: Case of Post-Soviet Russia," MPRA Paper 17447, University Library of Munich, Germany.
    8. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
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    Cited by:

    1. Шмелева Е. Д. & Семенова Т. В., 2019. "Академическое мошенничество студентов: учебная мотивация vs образовательная среда," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 101-129.
    2. Evgeniia Shmeleva & Tatiana Semenova, 2019. "Academic Dishonesty among College Students: Academic Motivation vs Contextual Factors," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 101-129.
    3. Anna Abalkina & Alexander Libman, 2020. "The real costs of plagiarism: Russian governors, plagiarized PhD theses, and infrastructure in Russian regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2793-2820, December.
    4. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva, 2016. "Do Anti-Corruption Educational Campaigns Reach Students? Some Evidence from Russia and Ukraine," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 61-83.

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    More about this item

    Keywords

    Russia; University; Corruption; Ambivalence; Academic Dishonesty; Higher Education; Matching;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption

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