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Hostage taking: Understanding terrorism event dynamics

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Author Info
Brandt, Patrick T.
Sandler, Todd

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Abstract

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.

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File URL: http://www.sciencedirect.com/science/article/B6V82-4VJBTK1-4/2/9e1887118fbf0e081169dc74a28f201d
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Publisher Info
Article provided by Elsevier in its journal Journal of Policy Modeling.

Volume (Year): 31 (2009)
Issue (Month): 5 (September)
Pages: 758-778
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Handle: RePEc:eee:jpolmo:v:31:y:2009:i:5:p:758-778

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Web page: http://www.elsevier.com/locate/inca/505735

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

Related research
Keywords: Kidnappings Skyjackings No-concession policy Impact multipliers Poisson autoregressive model Changepoint models Reversible-jump Markov chain Monte Carlo methods;

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This page was last updated on 2009-12-3.


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