Abstract

When companies or organizations can evade audits on their harmful incidents, how should the affected entities design their audit and penalty policies? In “Audit and Remediation Strategies in the Presence of Evasion Capabilities” by Wang, de Véricourt, and Sun, the authors find random audits may be needed in the optimal policy. Specifically, the optimal policy alternates between ascending monetary penalties (without any audits) and random audits at a constant rate (when the penalty reach its maximum level). Only when the evasion is ineffective or the self-correction is too costly do deterministic audits become optimal. They tackle the problem in a continuous-time principal-agent framework with both adverse selection and moral hazard.

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