arXiv Open Access 2024

Predictive Enforcement

Yeon-Koo Che Jinwoo Kim Konrad Mierendorff

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Abstrak

We study law enforcement guided by data-informed predictions of "hot spots" for likely criminal offenses. Such "predictive" enforcement could lead to data being selectively and disproportionately collected from neighborhoods targeted for enforcement by the prediction. Predictive enforcement that fails to account for this endogenous "datafication" may lead to the over-policing of traditionally high-crime neighborhoods and performs poorly, in particular, in some cases as poorly as if no data were used. Endogenizing the incentives for criminal offenses identifies additional deterrence benefits from the informationally efficient use of data.

Topik & Kata Kunci

econ.TH

Penulis (3)

Yeon-Koo Che

Jinwoo Kim

Konrad Mierendorff

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APA MLA BibTeX

Che, Y., Kim, J., Mierendorff, K. (2024). Predictive Enforcement. https://arxiv.org/abs/2405.04764

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Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓