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This paper models a corruption problem through the principal-agent framework with lotteries where the bureaucrat is regarded as the agent and the society, as the principal. The model contemplates three variables: bureaucratic efficiency, compensation and level of honesty. Solutions for the model were given using linear program algorithms. The optimal contracts indicate that: (1) under an unmonitored scenario, it is possible that the society be better off in the presence of extreme corruption; (2) risk-loving bureaucrats can provide more righteous conducts and increase the society’s expected utility; (3) altruist bureaucrats makes the society better off while spiteful bureaucrats makes the society worse off; and (4) higher reservation utility tends to increase the probability of the bureaucrats receive a high compensation.
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Danilo Hiroshi Matsuoka (2022) studied this question.
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