Hostage taking: Understanding terrorism event dynamics

被引:52
作者
Brandt, Patrick T. [1 ]
Sandler, Todd [1 ]
机构
[1] Univ Texas Dallas, Sch Econ Polit & Policy Sci, Richardson, TX 75080 USA
基金
美国国家科学基金会;
关键词
Kidnappings; Skyjackings; No-concession policy; Impact multipliers; Poisson autoregressive model; Changepoint models; Reversible-jump Markov chain Monte Carlo methods; INTERVENTION ANALYSIS; TIME-SERIES; COMPUTATION; CYCLES; ETA;
D O I
10.1016/j.jpolmod.2008.07.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper employs advanced time series methods to identify the dynamic properties of three hostage taking series. The immediate and long run multipliers of three covariates-successful past negotiations, violent ends, and deaths-are identified. Each hostage series responds differently to the covariates. Past concessions have the strongest impact on generating future kidnapping events, supporting the conventional wisdom to abide by a stated no-concession policy. Each hostage series has different changepoints caused by a variety of circumstances. Skyjackings and kidnappings are negatively correlated, while skyjackings and other hostage events are positively correlated. Policy recommendations are offered. (C) 2008 Society for Policy Modeling. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:758 / 778
页数:21
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