IDEAS home Printed from https://ideas.repec.org/a/aea/aejpol/v10y2018i1p298-325.html

Cheating and Incentives: Learning from a Policy Experiment

Author

Listed:
  • César Martinelli
  • Susan W. Parker
  • Ana Cristina Pérez-Gea
  • Rodimiro Rodrigo

Abstract

We use a database generated by a policy intervention that incentivized learning as measured by standardized exams to investigate empirically the relationship between cheating by students and cash incentives to students and teachers. We adapt methods from the education measurement literature to calculate the extent of cheating and show that cheating is more prevalent under treatments that provide monetary incentives to students (versus no incentives or incentives only to teachers). We provide evidence suggesting that students may have learned to cheat, with the number of cheating students per classroom increasing over time under treatments that provide monetary incentives to students.

Suggested Citation

  • César Martinelli & Susan W. Parker & Ana Cristina Pérez-Gea & Rodimiro Rodrigo, 2018. "Cheating and Incentives: Learning from a Policy Experiment," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 298-325, February.
  • Handle: RePEc:aea:aejpol:v:10:y:2018:i:1:p:298-325
    Note: DOI: 10.1257/pol.20150066
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/articles?id=10.1257/pol.20150066
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=ef_19AvTGikpuijSx03bjcCsO_sVZLXq
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=ogW4Ini8GEAdqJHhbAPCtKHgOsy-opLe
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Yue-Yi Hwa & Clare Leaver, 2021. "Management in education systems," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(2), pages 367-391.
    2. Tang, Johnny Jiahao, 2020. "Individual heterogeneity and cultural attitudes in credence goods provision," European Economic Review, Elsevier, vol. 126(C).
    3. Hübler, Olaf & Koch, Melanie & Menkhoff, Lukas & Schmidt, Ulrich, 2021. "Corruption and cheating: Evidence from rural Thailand," World Development, Elsevier, vol. 145(C).
    4. Aksoy, Billur & Palma, Marco A., 2019. "The effects of scarcity on cheating and in-group favoritism," Journal of Economic Behavior & Organization, Elsevier, vol. 165(C), pages 100-117.
    5. Julio J. Elías & Nicola Lacetera & Mario Macis, 2019. "Paying for Kidneys? A Randomized Survey and Choice Experiment," American Economic Review, American Economic Association, vol. 109(8), pages 2855-2888, August.
    6. Klijn, Flip & Mdaghri Alaoui, Mehdi & Vorsatz, Marc, 2022. "Academic integrity in on-line exams: Evidence from a randomized field experiment," Journal of Economic Psychology, Elsevier, vol. 93(C).
    7. Olaf Hübler & Lukas Menkhoff & Ulrich Schmidt, 2018. "Who Is Cheating? The Role of Attendants, Risk Aversion, and Affluence," Discussion Papers of DIW Berlin 1736, DIW Berlin, German Institute for Economic Research.
    8. Bilen, Eren & Matros, Alexander, 2021. "Online cheating amid COVID-19," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 196-211.
    9. Gary Charness & Celia Blanco-Jimenez & Lara Ezquerra & Ismael Rodriguez-Lara, 2019. "Cheating, incentives, and money manipulation," Experimental Economics, Springer;Economic Science Association, vol. 22(1), pages 155-177, March.
    10. Barrera-Osorio, Felipe & Cilliers, Jacobus & Cloutier, Marie-Hélène & Filmer, Deon, 2022. "Heterogenous teacher effects of two incentive schemes: Evidence from a low-income country," Journal of Development Economics, Elsevier, vol. 156(C).
    11. Marius Protte & Behnud Mir Djawadi, 2025. "Human vs. Algorithmic Auditors: The Impact of Entity Type and Ambiguity on Human Dishonesty," Papers 2507.15439, arXiv.org.
    12. Singh, Abhijeet & Berg, Petter, 2024. "Myths of official measurement: Limits to test-based education reforms with weak governance," Journal of Public Economics, Elsevier, vol. 239(C).
    13. Alan, Sule & Ertac, Seda & Gumren, Mert, 2020. "Cheating and incentives in a performance context: Evidence from a field experiment on children," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 681-701.
    14. Sergio Longobardi & Patrizia Falzetti & Margherita Maria Pagliuca, 2018. "Quis custiodet ipsos custodes? How to detect and correct teacher cheating in Italian student data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(3), pages 515-543, August.
    15. Berkhout, Emilie & Pradhan, Menno & Rahmawati, & Suryadarma, Daniel & Swarnata, Arya, 2024. "Using technology to prevent fraud in high stakes national school examinations: Evidence from Indonesia," Journal of Development Economics, Elsevier, vol. 170(C).
    16. Billur Aksoy & Marco A. Palma, "undated". "The Effects of Scarcity on Cheating and In-Group Favoritism," Working Papers 20180918-001, Texas A&M University, Department of Economics.
    17. Marie Claire Villeval, 2019. "Comportements (non) éthiques et stratégies morales," Revue économique, Presses de Sciences-Po, vol. 70(6), pages 1021-1046.
    18. Olaf Hübler & Melanie Koch & Lukas Menkhoff & Ulrich Schmidt, 2019. "Cheating and Corruption: Evidence from a Household Survey," Discussion Papers of DIW Berlin 1826, DIW Berlin, German Institute for Economic Research.

    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    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:aea:aejpol:v:10:y:2018:i:1:p:298-325. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    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.