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Do secrets come out? Statistical evaluation of student cheating

Author

Listed:
  • Ekaterina Borisova

    (International Center for the Study of Institutions and Development, National Research University Higher School of Economics, Moscow, Russia)

  • Anatoly Peresetsky

    (National Research University Higher School of Economics, Moscow, Russian Federation)

Abstract

We suggest an original method of student cheating evaluation based on the comparison of students’ grades in exams in class, home assignments and experimental homework. The data for the study is collected from the survey of 2012–2013 sophomores of the International College of Economics and Finance at the National Research University Higher School of Economics in Moscow, Russia. At the end of the course in Statistics in addition to standard assignments (homework and exams) students were given experimental homework with a ban on cooperation among them. The violation of this rule was qualified as cheating. The scale of cooperation is measured and then tested through the stochastic frontier technique; it reveals connection with the GPA level, students’ expectations of the cheaters’ share and students’ moral norms. We also find different behavioral patterns for high and low performing students as well as country specific context of student cheating behavior.

Suggested Citation

  • Ekaterina Borisova & Anatoly Peresetsky, 2016. "Do secrets come out? Statistical evaluation of student cheating," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 44, pages 119-130.
    • Handle: RePEc:ris:apltrx:0307
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    References listed on IDEAS

    as
    1. Jeff Butler & Paola Giuliano & Luigi Guiso, 2016. "Trust and Cheating," Economic Journal, Royal Economic Society, vol. 126(595), pages 1703-1738, September.
    2. Brian A. Jacob & Steven D. Levitt, 2003. "Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 843-877.
    3. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107029514, January.
    4. Jan R. Magnus & Victor M. Polterovich & Dmitri L. Danilov & Alexei V. Savvateev, 2002. "Tolerance of Cheating: An Analysis Across Countries," The Journal of Economic Education, Taylor & Francis Journals, vol. 33(2), pages 125-135, June.
    5. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-877, October.
    6. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    7. Borisova, E. & Polishchuk, L. & Suvorov, A., 2014. "Observe or Violate: Intrinsic Motivation of Academic Ethics," Journal of the New Economic Association, New Economic Association, vol. 22(2), pages 41-72.
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    Keywords

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    JEL classification:

    • A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values
    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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