Measuring Corruption in the Field Using Behavioral Games

Working Paper: CEPR ID: DP16596

Authors: Alex Armand; Alexander Coutts; Pedro C. Vicente; InĂªs 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.

Keywords: corruption; game; trust; lab-in-the-field; citizen; political leader; incentives; behavior; elite capture

JEL Codes: D10; D70; D72; D73; C90


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
citizens send bribes (D73)leaders appropriate community funds (D70)
leaders appropriate community funds (D70)citizens send larger bribes (D73)
citizens' trust in leaders (D73)citizens' bribery behavior (D72)

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