Measuring corruption in the field using behavioral games

A-Tier
Journal: Journal of Public Economics
Year: 2023
Volume: 218
Issue: C

Authors (4)

Score contribution per author:

1.005 = (α=2.01 / 4 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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. In corrupt behavior, we identify an important trust dimension captured by a standard trust game.

Technical Details

RePEc Handle
repec:eee:pubeco:v:218:y:2023:i:c:s0047272722002018
Journal Field
Public
Author Count
4
Added to Database
2026-01-24