David Versus Goliath: Fundamental Patterns and Predictions in Modern Wars and Terrorist Campaigns
|Title:||David Versus Goliath: Fundamental Patterns and Predictions in Modern Wars and Terrorist Campaigns||Authors:||Spagat, Michael
Weezel, Stijn van
|Permanent link:||http://hdl.handle.net/10197/9095||Date:||Oct-2017||Abstract:||It is still unknown whether there is some deep structure to modern wars and terrorist campaigns that could allow reliable prediction of future patterns of violent events. Recent war research focuses on size distributions of violent events, with size defined by the number of people killed in each event. Event size distributions within previously available datasets, for both armed conflicts and for global terrorism as a whole, exhibit extraordinary regularities that transcend specifics of time and place. These distributions have been well modelled by a narrow range of power laws that are, in turn, supported by a theory of coalescence and fragmentation of violent groups. We show that the predicted eventsize patterns emerge in a mass of new event data covering conflict in Africa and Asia from 1990 to 2014. Moreover, there are similar regularities in the events generated by individual terrorist organizations, 1997-2014. The existence of such robust empirical patterns hints at the predictability of size distributions of violent events in future wars. We pursue this prospect using split-sample techniques that help us to make useful out-of-sample predictions. Power-law-based prediction systems outperform lognormal-based systems. We conclude that there is indeed evidence from the existing data that fundamental patterns do exist, and that these can allow prediction of future structures in modern wars and terrorist campaigns.||Type of material:||Working Paper||Publisher:||University College Dublin. School of Economics||Start page:||1||End page:||13||Series/Report no.:||UCD Centre for Economic Research Working Paper Series; 2017/21||Copyright (published version):||2017 the Authors||Keywords:||Armed conflict; Cross-validation; Event data; Power-law; Terrorism||Language:||en||Status of Item:||Not peer reviewed|
|Appears in Collections:||Economics Working Papers & Policy Papers|
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.