Determinants of Recurrence of Terrorist Attacks.

Global Analysis with Panel Data

Authors

DOI:

https://doi.org/10.30854/anf.v31.n56.2023.956

Keywords:

Terrorism, Terrorist attacks, Recurrence, Stochastic models, Panel data

Abstract

Objective: The objective of this study is to establish the determinants of the number of terrorist attacks in a territory over time. Methodology: Elements of both the theory of the attack claims and the recurrence of attacks are incorporated, to obtain a deeper analytical spectrum. Secondly, a negative binomial stochastic model with panel data is implemented, characterized by being dynamic to avoid endogeneity problems. The information used comes from the Global Terrorism Database, Big Allied and Dangerous, Political Terror Scale, and World Bank databases. Results: The initial results obtained indicate that the probability of terrorist attacks increases when there is a history of armed assault, a high educational level, suicide attacks, and attacks on civilians, while it decreases with high female labor participation and low corruption rates. Alternatively, the research found sufficient empirical evidence to affirm that the attack claims help to explain the phenomenon of the number of attacks by including civilian targets, the number of fatalities, armed assaults, and suicides. Conclusions: If variables from the number of attack theories are incorporated, such as female labor participation, variation in GDP per capita, education expenditures, and the corruption index, the results are significantly more robust. This broadens the argumentative spectrum and enhances the explanatory capacity of the variables amongst themselves.

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Author Biographies

  • Isabel Cristina Rivera-Lozada, Universidad del Cauca

    Researcher in education, gender and conflict of the GICEA group, peer recognized by the Ministry of Science, Technology and Innovation of Colombia. She has a PhD in Education with specialization in Pedagogical Mediation, Master in Political Science, Specialization in Finance and Economist. Her experience includes participation in consultancies on the design of models of flexible formal and non-formal education, projects and research at national and international level on issues of education, health economics, gender and entrepreneurship. She has formed research groups with the Latin American Council of Social Sciences CLACSO, ADRA Peru and social organizations such as Tierra de Paz, Corpomanigua and Tierraviva in Colombia. With a trajectory of 23 years as a university professor at undergraduate and graduate level. She is currently a member of the Central Curriculum Committee of the University of Cauca and editor of journals in education and economics.

     

  • Andres Mauricio Gomez-Sanchez, Universidad del Cauca

    Professor and researcher. University of Cauca. Faculty of Accounting, Economics and Administrative Sciences. Department of Economics. Popayán, Colombia. Economist, Universidad del Valle, Colombia. Specialist in Project Management, Universidad del Cauca, Colombia. Master in Applied Economics, Universidad del Valle, Colombia. PhD. in Industrial Economics, Universidad de Valencia, Spain. Researcher, Entropía Group. His research experience includes directing the Regional Unemployment Observatory of the Colombian Ministry of Labor for the Department of Cauca. Consultant for institutions such as the Chamber of Commerce of Cauca and the Mayor's Office of Popayán. Author and co-author of several articles in national and international indexed journals. Finally, he is peer reviewer of several indexed local economic journals. As a professor, he has more than 20 years of experience at the undergraduate and graduate levels in the areas of econometrics and microeconomics at the Universidad del Cauca.

     

  • Jorge Luis Rivadeneira-Daza, Universidad del Cauca

    Economist. Member of the research group on Gender, Education and Conflict, GEDCO, as well as the research group Economics of Inequalities. She won first place in the regional tournament of Economic Debates, category B, organized by the National Federation of Economics Students, FENADECO.

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Published

2024-01-01

How to Cite

Determinants of Recurrence of Terrorist Attacks. : Global Analysis with Panel Data. (2024). ÁNFORA, 31(56), 23-51. https://doi.org/10.30854/anf.v31.n56.2023.956
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