Hostage taking: Understanding terrorism event dynamics
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.
Year of publication: |
2009
|
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Authors: | Brandt, Patrick T. ; Sandler, Todd |
Published in: |
Journal of Policy Modeling. - Elsevier, ISSN 0161-8938. - Vol. 31.2009, 5, p. 758-778
|
Publisher: |
Elsevier |
Keywords: | Kidnappings Skyjackings No-concession policy Impact multipliers Poisson autoregressive model Changepoint models Reversible-jump Markov chain Monte Carlo methods |
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