Mixed Logit Estimation of Radical Islamic Terrorism in Europe and North America

Carlos Barros and Isabel Proença
Additional contact information
Isabel Proença: Instituto Superior de Economia e Gestão, Technical University of Lisbon, Portugal
Authors registered in the RePEc Author Service: Isabel Proença ()

Journal of Conflict Resolution, 2005, vol. 49, issue 2, 298-314

Abstract: This article estimates what characteristics (e.g., location, number of casualties, and type of attack) are associated with an Islamic terrorist attack. This is established by identifying the significant determinants of the probability that an attack had been carried out by Islamic terrorists. For Europe, the United States, and Canada, the analysis employs ITERATE (International Terrorism: Attributes of Terrorist Events) data from October 1979 to December 2002 to ascertain the significant characteristics of Islamic terrorist attacks. A random-parameter logit model is used to analyze the probability of such attacks, taking into account the heterogeneity of the sample data. This model outperforms the standard logit model. Some policy implications are presented.

Keywords: Islamic radical terrorism; mixed logit model; public policy (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0022002704272829 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:jocore:v:49:y:2005:i:2:p:298-314

DOI: 10.1177/0022002704272829

Access Statistics for this article

More articles in Journal of Conflict Resolution from Peace Science Society (International)
Bibliographic data for series maintained by SAGE Publications ().