Scoring Strategic Agents
研究一个中介如何设计评分规则，在代理人可能策略性扭曲特征的情况下，最大化接收者的决策准确性。
I introduce a model of predictive scoring. A receiver wants to predict a sender’s quality. An intermediary observes multiple features of the sender and aggregates them into a score. Based on the score, the receiver makes a decision. The sender prefers “higher” decisions, and she can distort each feature at a privately known cost. I characterize the scoring rule that maximizes decision accuracy. This rule underweights some features to deter sender distortion, and overweights other features so that the score is correct on average. The receiver prefers this scoring rule to full disclosure because it mitigates his commitment problem.