[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0307.html
   My bibliography  Save this article

Do secrets come out? Statistical evaluation of student cheating

Author

Listed:
  • Borisova, Ekaterina

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

  • Peresetsky, Anatoly

    (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

  • Borisova, Ekaterina & Peresetsky, Anatoly, 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
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2016_44_119-130.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-877, October.
    2. Jeff Butler & Paola Giuliano & Luigi Guiso, 2016. "Trust and Cheating," Economic Journal, Royal Economic Society, vol. 126(595), pages 1703-1738, September.
    3. 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.
    4. 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 9781107609464.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    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. Markose Chekol Zewdie & Michele Moretti & Daregot Berihun Tenessa & Zemen Ayalew Ayele & Jan Nyssen & Enyew Adgo Tsegaye & Amare Sewnet Minale & Steven Van Passel, 2021. "Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach," Land, MDPI, vol. 10(3), pages 1-17, March.
    2. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    3. Antony Andrews & Omphile Temoso & Sean Kimpton, 2021. "Persistent and Transient Inefficiency of Australian States and Territories in Providing Public Hospital Services: An Application of Bayesian Stochastic Finite Mixture Frontier Analysis," Economic Papers, The Economic Society of Australia, vol. 40(2), pages 104-115, June.
    4. Maria Cotofan, 2019. "Learning from Praise: Evidence from a Field Experiment with Teachers," Tinbergen Institute Discussion Papers 19-082/V, Tinbergen Institute.
    5. MAIMOUNA DIAKITE & Jean-François BRUN, 2016. "Tax Potential and Tax Effort: An Empirical Estimation for Non-Resource Tax Revenue and VAT’s Revenue," EcoMod2016 9537, EcoMod.
    6. Yuichi Watanabe & Haruko Noguchi & Yoshinori Nakata, 2020. "How efficient are surgical treatments in Japan? The case of a high-volume Japanese hospital," Health Care Management Science, Springer, vol. 23(3), pages 401-413, September.
    7. Keller, Michael, 2020. "Wasted windfalls: Inefficiencies in health care spending in oil rich countries," Resources Policy, Elsevier, vol. 66(C).
    8. Mgomezulu, Wisdom Richard & Machira, Kennedy & Edriss, Abdi-Khalil & Pangapanga-Phiri, Innocent & Chitete, Moses M.N., 2022. "Responding to inefficiencies on smallholder maize farms: Can sustained adoption of sustainable agricultural practices make a difference?," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(4), December.
    9. Thanh Ngo & Kan Wai Hong Tsui, 2022. "Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines," Operational Research, Springer, vol. 22(4), pages 3411-3434, September.
    10. Gao, Penghui & Secor, William & Escalante, Cesar L., 2022. "Banking Efficiency Analysis for U.S. agricultural and non-agricultural banks: Comparative Period Analysis between the Great Recession of the late 2000s and the Current Pandemic conditions," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322329, Agricultural and Applied Economics Association.
    11. Richard Adjei Dwumfour & Eric Fosu Oteng-Abayie & Emmanuel Kwasi Mensah, 2022. "Bank efficiency and the bank lending channel: new evidence," Empirical Economics, Springer, vol. 63(3), pages 1489-1542, September.
    12. Wanglin Ma & Kathryn Bicknell & Alan Renwick, 2019. "Feed use intensification and technical efficiency of dairy farms in New Zealand," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(1), pages 20-38, January.
    13. Ahimbisibwe, Vianny & Zhunusova, Eliza & Kassa, Habtemariam & Günter, Sven, 2024. "Technical efficiency drivers of farmer-led restoration strategies, and how substantial is the unrealised potential for farm output?," Agricultural Systems, Elsevier, vol. 213(C).
    14. Chen, Jiandong & Wu, Yinyin & Song, Malin & Zhu, Zunhong, 2017. "Stochastic frontier analysis of productive efficiency in China's Forestry Industry," Journal of Forest Economics, Elsevier, vol. 28(C), pages 87-95.
    15. Tommy Lundgren & Mattias Vesterberg, 2024. "Efficiency in electricity distribution in Sweden and the effects of small-scale generation, electric vehicles and dynamic tariffs," Journal of Productivity Analysis, Springer, vol. 62(2), pages 121-137, October.
    16. Radha R. Ashrit, 2023. "Estimation of technical efficiency of Indian farms for major crops during 2013–2014 and 2017–2018: a stochastic Frontier production approach," SN Business & Economics, Springer, vol. 3(2), pages 1-32, February.
    17. Sabrina Auci & Donatella Vignani, 2020. "Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 381-409, July.
    18. Danuse Nerudova & Marian Dobranschi, 2019. "Alternative method to measure the VAT gap in the EU: Stochastic tax frontier model approach," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-38, January.
    19. Kang, Jijun & Yu, Chenyang & Xue, Rui & Yang, Dong & Shan, Yuli, 2022. "Can regional integration narrow city-level energy efficiency gap in China?," Energy Policy, Elsevier, vol. 163(C).
    20. Nguyen, Hoa-Thi-Minh & Do, Huong & Kompas, Tom, 2021. "Economic efficiency versus social equity: The productivity challenge for rice production in a ‘greying’ rural Vietnam," World Development, Elsevier, vol. 148(C).

    More about this item

    Keywords

    student cheating; take home assignment; stochastic frontier; Russia;
    All these keywords.

    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

    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:0307. 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.