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Corruption: A cross-country comparison of contagion and conformism

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  • Schram, Arthur
  • Zheng, Jin Di
  • Zhuravleva, Tatyana

Abstract

For successful anti-corruption policies, it is crucial to understand the basic social contract governing the interaction between people. Social norms are a key element of the social contract, but may vary across cultures. We investigate how descriptive social norms affect the development of corruption over time. In a laboratory experiment implemented in the Netherlands, Russia, Italy, and China we study a corruption game that is based on a real-effort task. To induce natural variation in descriptive norms, we vary the type of information about others’ choices. Such information may lead to ‘contagion’ -where corruption increases in response to observing high corruption by others- or ‘conformism’ -where it decreases when low corruption by others is observed. Our results show evidence of contagion.

Suggested Citation

  • Schram, Arthur & Zheng, Jin Di & Zhuravleva, Tatyana, 2022. "Corruption: A cross-country comparison of contagion and conformism," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 497-518.
    • Handle: RePEc:eee:jeborg:v:193:y:2022:i:c:p:497-518
    DOI: 10.1016/j.jebo.2021.11.017
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    2. Shuguang Jiang & Marie Claire Villeval, 2022. "Dishonesty in Developing Countries -What Can We Learn From Experiments?," Working Papers hal-03899654, HAL.
    3. Richard Kasa & Gábor Réthi & György Hauber & Krisztina Szegedi, 2023. "Simulation of Corruption Decisions—An Agent-Based Approach," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
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    More about this item

    Keywords

    Corruption; Bribery; Laboratory experiments; Contagion effect; Conformism effect;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption

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