Di Salvatore, Jessica (2019) Data for Peacekeepers against criminal violence – unintended effects of peacekeeping operations? [Dataset]

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Request Changes to record.

Abstract

Research shows that peacekeepers reduce conflict intensity; however, effects of deployment on non-political violence are unknown. This article focuses on criminal violence and proposes a two-fold mechanism to explain why peacekeeping missions, even when effectively reducing conflict, can inadvertently increase criminal violence. First, less conflict opens up economic opportunities (so-called peacekeeping economies) and provides operational security for organized crime, thus increasing violent competition among criminal groups. Second, demobilized combatants are vulnerable to turn to crime because of limited legal livelihood opportunities and their training in warfare. While UN troops may exacerbate these dynamics, UN police peculiar role is likely to successfully contain criminal violence. Cross-national and subnational empirical analyses show that large UN military deployments result in higher homicide rates whereas UN police, overall, moderates this collateral effect.

Item Type:	Dataset
Subjects:	H Social Sciences > HV Social pathology. Social and public welfare J Political Science > JZ International relations
Divisions:	Faculty of Social Sciences > Economics
Type of Data:	Observational data
Library of Congress Subject Headings (LCSH):	Peacekeeping forces, Violent crimes, United Nations -- Peacekeeping forces
Publisher:	University of Warwick, Department of Economics
Official Date:	19 June 2019
Dates:	Date Event 19 June 2019 Published
Status:	Not Peer Reviewed
Publication Status:	Published
Media of Output (format):	.tab .do
Access rights to Published version:	Open Access (Creative Commons)
Copyright Holders:	University of Warwick
Description:	Data record consists of two datasets in .tab format, a Stata .do file for replication, a codebook PDF, and a readme file. Description of all variables used in the analysis can be found in the codebook. System used was Stata v15 with packages ‘estout’ and ‘blindschemes’ installed. This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill.
Related URLs:	Related item in WRAP Other
Contributors:	Contribution Name Contributor ID Contact Person Di Salvatore, Jessica 87574

Request changes or add full text files to a record

Repository staff actions (login required)

View Item