EconPapers    
Economics at your fingertips  
 

A Mathematical Model of the Risk of Nuclear Terrorism

Matthew Bunn
Additional contact information
Matthew Bunn: Project on Managing the Atom in the Belfer Center for Science and International Affairs at Harvard University's John F. Kennedy School of Government, White House Office of Science and Technology Policy

The ANNALS of the American Academy of Political and Social Science, 2006, vol. 607, issue 1, 103-120

Abstract: This article presents a mathematical model for measuring the global risk of nuclear theft and terrorism. One plausible set of parameter values used in a numerical example suggests a 29 percent probability of a nuclear terrorist attack in the next decade. The expected loss over that period would be $1.17 trillion (undiscounted), or more than $100 billion per year. Historical and other evidence is used to explore the likely values of several of the key parameters, and policy options for reducing the risk are briefly assessed. The uncertainties in estimating the risk of nuclear terrorism are very large, but even a risk dramatically smaller than that estimated in the numerical example used in this article would justify a broad range of actions to reduce the threat.

Keywords: nuclear terrorism; mathematical model; nuclear theft; black market; calculating risk (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0002716206290182 (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:anname:v:607:y:2006:i:1:p:103-120

DOI: 10.1177/0002716206290182

Access Statistics for this article

More articles in The ANNALS of the American Academy of Political and Social Science
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:anname:v:607:y:2006:i:1:p:103-120