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Behavioral economics of corruption and its implications

Author

Listed:
  • Roberta Muramatsu
  • Ana Maria A. F. Bianchi

Abstract

This paper holds that the standard economic accounts of corruption based on expected costs and benefits are insufficient to understand and to tackle dishonesty in the real world. It embarks on a survey of the literature to discuss the major roles automatic judgments and decisions, as well as cognitive biases and social preferences might play in deviations from honest behavior. The paper further discusses the implications of behavioral economics to the debate over how to fight corruption and foster integrity. JEL Classification: B40; B41; D90; D91.

Suggested Citation

  • Roberta Muramatsu & Ana Maria A. F. Bianchi, 2021. "Behavioral economics of corruption and its implications," Brazilian Journal of Political Economy, Center of Political Economy, vol. 41(1), pages 100-116.
    • Handle: RePEc:ekm:repojs:v:41:y:2021:i:1:p:100-116:id:2122
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    File URL: https://centrodeeconomiapolitica.org.br/repojs/index.php/journal/article/view/2122/2192
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    Citations

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    Cited by:

    1. Petr Wawrosz, 2022. "How Corruption Is and Should Be Investigated by Economic Theory," Economies, MDPI, vol. 10(12), pages 1-23, December.
    2. Roberta Muramatsu & Ana Maria Bianchi, 2021. "The big picture of corruption: Five lessons from Behavioral Economics," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 5(S3), pages 55-62, October.

    More about this item

    Keywords

    Behavioral economics; corruption; methodology; experiments; policy;
    All these keywords.

    JEL classification:

    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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