Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 299

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Does a helping hand put others at risk?: affirmative action, police departments, and crime

Open access
Lott, J.·2000·Economic Inquiry

Abstract

Will increasing the number of minority and women police officers make law enforcement more effective by drawing on abilities that have gone untapped and creating better contact with communities and victims? Or will standards have to be lowered too far before large numbers of minorities and women can be hired? Using cross-sectional time-series data for U.S. cities, I find that more black and minority police officers increase crime rates, but this apparently arises because lower hiring standards involved in recruiting more minority officers reduces the quality of both new minority and new nonminority officers. The most adverse effects of these hiring policies have occurred in the most heavily black populated areas. There is no consistent evidence that crime rates rise when more women are hired, and this raises questions about whether norming tests or altering their content to create equal pass rates is preferable. The paper examines how the changing composition of police departments affects such measures as the murder of and assaults against police officers.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/ei/38.2.239

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 31 references

Cited by

See all 299

Metadata

Authors
Lott, J.
Venue
Economic Inquiry
Publisher
Wiley
Published
2000-04-01
Volume
38
Issue
2
Pages
239-277
ISSN
  • 0043-3640 (ISSN-L)
  • 0095-2583
  • 1465-7295
OpenAlex
W4240497998
Cited by
299
References
31
FWCI
260.55
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Does a helping hand put others at risk?: affirmative action, police departments, and crime. https://app.cochat.ai/papers/10.1093/ei/38.2.239
The paper
Lott, J. (2000). Does a helping hand put others at risk?: affirmative action, police departments, and crime. Economic Inquiry. https://doi.org/10.1093/ei/38.2.239

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.