Search Profiling with Partial Knowledge of Deterrence
研究在部分了解威慑效果的情况下，如何选择基于协变量的搜索画像政策，以最小化犯罪和搜索的社会成本，并利用最小最大或最小最大遗憾准则选择非劣规则。
Consider the choice of a profiling policy where decisions to search for evidence of crime may vary with observable covariates of the persons at risk of search. I pose a planning problem whose objective is to minimise the social cost of crime and search. The consequences of a search rule depend on the extent to which search deters crime. I study the planning problem when the planner has partial knowledge of deterrence. I show how the planner can eliminate dominated search rules and how he can use the minimax or minimax-regret criterion to choose an undominated rule. Copyright 2006 The Author(s). Journal compilation Royal Economic Society 2006.