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Measuring corruption in the field using behavioral games

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  • Alex Armand
  • Alexander Coutts
  • Pedro C. Vicente
  • Ines Vilela

Abstract

Corruption is often harmful for economic development, yet it is difficult to measure due to its illicit nature. We propose a novel corruption game to characterize the interaction between actual political leaders and citizens, and implement it in Northern Mozambique. Contrary to the game-theoretic prediction, both leaders and citizens engage in corruption. Importantly, corruption in the game is correlated with real-world corruption by leaders: citizens send bribes to leaders whom we observe appropriating community money, and these leaders are likely to reciprocate the bribes. In corrupt behavior, we identify an important trust dimension captured by a standard trust game.

Suggested Citation

  • Alex Armand & Alexander Coutts & Pedro C. Vicente & Ines Vilela, 2021. "Measuring corruption in the field using behavioral games," NOVAFRICA Working Paper Series wp2112, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.
  • Handle: RePEc:unl:novafr:wp2112
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    4. Yuliet Verbel, 2024. "Easier Together: Shared Responsibility and Corruption," Discussion Papers 2024-03, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.

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    More about this item

    Keywords

    Corruption; game; trust; lab-in-the-field; citizen; political leader; incentives; behavior; elite capture;
    All these keywords.

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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