Should the Timing of Inspections be Predictable?
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A principal hires an agent to work on a long-term project that culminates in a breakthrough or a breakdown. At each time, the agent privately chooses to work or shirk. Working increases the arrival rate of breakthroughs and decreases the arrival rate of breakdowns. To motivate the agent to work, the principal conducts costly inspections. She fires the agent if shirking is detected. We characterize the principal's optimal inspection policy. Predictable inspections are optimal if work primarily generates breakthroughs. Random inspections are optimal if work primarily prevents breakdowns. Crucially, the agent's actions affect the survival rate of the project, which determines his risk attitude over the timing of planned inspections.
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Data-Driven Monitoring and Deterrence in a Changing Environment
In a bandit monitoring model with hidden Markov state evolution, the principal's informational motive to explore functions as an endogenous commitment device that strictly lowers equilibrium infraction rates.
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