CATASTROPHE AND RATIONAL POLICY: CASE OF NATIONAL SECURITY

Hamid Mohtadi () and Bryan Weber

Economic Inquiry, 2021, vol. 59, issue 1, 140-161

Abstract: Predicting catastrophes involves heavy‐tailed distributions with no mean, eluding proactive policy as expected cost‐benefit analysis fails. We study US government counterterrorism policy, given heightened risk of terrorism. But terrorism also involves human behavior. We synthesize the behavioral and statistical aspects in an adversary‐defender game. Calibration to extensive data shows that where a Weibull distribution is the best predictor, US counterterrorism policy is rational (and optimal). Here, we estimate the adversary's unobserved variables, e.g., difficulty of an attack. We also find cases where the best predictor is a Generalized‐Pareto with no finite mean and rational policy fails. Here, we offer “work‐arounds”. (JEL H56, D81, C46)

Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/ecin.12925

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:bla:ecinqu:v:59:y:2021:i:1:p:140-161

Ordering information: This journal article can be ordered from
https://ordering.onl ... s.aspx?ref=1465-7295

Access Statistics for this article

Economic Inquiry is currently edited by Tim Salmon

More articles in Economic Inquiry from Western Economic Association International Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().