Evaluating the determinants of support for police militarization among officers

1Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

We evaluate the determinants of officer support for their agency participating in the 1033 Program: a program that facilitates the flow of military hardware to local law enforcement agencies. In doing so, we provide insight into why officers demand such equipment, which, in turn, may partially explain patterns of program participation and equipment usage. We utilize a series of random forest models to examine survey data collected from officers in a large police department, finding that being White and exhibiting animus toward minority communities are highly predictive of officer support across models. Our findings validate long-held public concerns regarding the distributional patterns and consequences of 1033 transfers: concerns that have led to a number of proposed policy changes at the state and federal levels meant to restrict program usage (e.g., EO-13688, HR-1694, MO HB-330). Policy makers should consider how out-group animus may drive distributional patterns and usage when considering policy reform.

References Powered by Scopus

Random forests

96476Citations
N/AReaders
Get full text

The central role of the propensity score in observational studies for causal effects

21265Citations
N/AReaders
Get full text

Greedy function approximation: A gradient boosting machine

20278Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Shifting police strategies: US aid and repression by public safety institutions in Latin America

0Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Welch, R. M., Mewhirter, J., Wright, J. E., & Oh, J. (2023). Evaluating the determinants of support for police militarization among officers. Politics and Policy, 51(4), 636–660. https://doi.org/10.1111/polp.12549

Readers over time

‘23‘24‘2502468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 6

100%

Readers' Discipline

Tooltip

Business, Management and Accounting 3

50%

Social Sciences 2

33%

Economics, Econometrics and Finance 1

17%

Save time finding and organizing research with Mendeley

Sign up for free
0