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解释警察在家庭虐待案件中的预测表现

Explaining the Predictive Performance of Police in Cases of Domestic Abuse
NBER Working Papers · 2026 · Jeffrey Grogger、Andrew Jordan、Tom Kirchmaier

中文摘要

英格兰和威尔士的警察被要求预测家庭虐待案件中发生严重再犯的可能性,但除了一份存在缺陷的问卷外,他们几乎得不到其他支持。为了分析警员的决策,我们首先提出了处理删失问题的方法;这一问题之所以产生,是因为警员作出的预测可能会改变其试图预测的结果。即使对删失问题作出调整,我们仍发现其预测表现较差,在某些情况下甚至低于随机情形下的预期水平。随后,我们考察这些预测是否属于判断错误,并提供了多种确证性证据。我们还考察警员如何形成预测,并发现了与代表性偏差、过度反应、分类和选择性注意相一致的证据。我们发现,技能较高的警员利用问卷未捕捉到的信息改善预测,而技能较低的警员使用这些信息的方式反而降低了预测准确性。

Abstract

Police in England and Wales are asked to predict the likelihood of serious recidivism in domestic abuse cases, with little support beyond a flawed questionnaire. To analyze their decisions, we first develop methods to deal with a censoring problem that arises because the officer’s prediction may change the outcome she was attempting to predict. Even after adjusting for censoring, we find predictive performance to be low, even lower in some cases than what one would expect by chance. We next ask whether their predictions represent mistakes, and provide several types of confirmatory evidence. We ask how officers formulate their predictions, and we find evidence consistent with representativeness bias, overreaction, and categorization and selective attention. We find that higher-skill officers use information not captured by the questionnaire to improve their predictions, whereas lower-skill officers use such information in ways that reduce accuracy.
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