Delegated Screening and Robustness

Suraj Malladi
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引用次数: 1

Abstract

A policymaker relies on regulators or bureaucrats to screen agents on her behalf. How can she maintain some control over the design of the screening process? She solves a two-layer mechanism design problem: she restricts the set of allowable allocations, after which a screener picks a menu that maps an agent's costly evidence to this restricted set. In general, the policymaker can set a floor in a way that dominates full delegation no matter how the screener's objectives are misaligned. When this misalignment is only over the relative importance of reducing allocation errors or agent's screening costs, the effectiveness of this restriction hinges sharply on the direction of the screener's bias. If the screener is more concerned with reducing errors, setting this floor is in fact robustly optimal for the policymaker. But if the screener is more concerned with keeping costs down, not only does this particular floor have no effect: any restriction that strictly improves over full delegation is complex and sensitive to the details of the screener's preferences. I consider the implications for regulatory governance.
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委托筛选和稳健性
政策制定者依靠监管机构或官僚来代表她筛选代理人。她如何对筛选过程的设计保持一定的控制?她解决了一个两层机制设计问题:她限制了允许分配的集合,之后筛选器选择一个菜单,将代理的昂贵证据映射到这个受限的集合。一般来说,无论筛选者的目标如何偏离,政策制定者都可以以一种主导全部授权的方式设定最低标准。当这种偏差仅超过减少分配错误或代理人筛选成本的相对重要性时,这种限制的有效性在很大程度上取决于筛选者偏见的方向。如果筛选者更关心的是减少错误,那么设定这个下限实际上对政策制定者来说是最理想的。但如果筛选者更关心的是降低成本,那么这个特定的下限不仅没有效果:任何严格改进于完全授权的限制都是复杂的,而且对筛选者偏好的细节很敏感。我考虑了对监管治理的影响。
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