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| Author: | Manski, C.F. |
| Title: | Search profiling with partial knowledge of deterrence |
| Journal: | Economic Journal
2006 : NOV, VOL. 116:515, p. F385-F401 |
| Index terms: | decision making social costs crime policy models |
| Language: | eng |
| Abstract: | Consider the choice of a profiling policy where decisions to search (henceforth as: s.) for crime (here as: cr.) evidence may vary with observable covariates of the persons at risk of s. This study sets a planning problem (here as: pl-prb.) aiming to minimize the social cost of cr. and s. The consequences of a s. rule depend on the extent to which s. deters cr. Studied is the pl-prb. when the planner has partial knowledge of deterrence. It is shown how the planner can eliminate dominated s. rules and how he can use the minimax or minimax-regret criterion to choose an undominated rule. |
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