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Allocating Security Expenditures under Knightian Uncertainty:An Info-Gap Approach

机译:分配骑士不确定性下的安全支出:信息差距方法

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We apply the information gap approach to resource allocation under Knightian (non-probabilistic) uncertainty in order to study how best to allocate public resources between competing defence measures. We demonstrate that when determining the level and composition of defence spending in an environment of extreme uncertainty vis-a-vis the likelihood of armed conflict and its outcomes, robust-satisficing-expected utility will usually be preferable to expected utility maximisation. Moreover, our analysis suggests that in environments with unreliable information about threats to national security and their consequences, a desire for robustness to model misspecification in the decision-making process will imply greater expenditure on certain types of defence measures at the expense of others. Our results also provide a positivist explanation of how governments seem to allocate security expenditures in practice.
机译:我们在骑士(非概率)不确定性下应用信息差距方法,以研究如何最好地在竞争防范措施之间分配公共资源。我们证明,在确定极端不确定性环境中防御支出的水平和组成时,武装冲突的可能性及其结果,通常会对预期的效用最大化来说是鲁棒的满足预期效用。此外,我们的分析表明,在有关国家安全威胁的环境及其后果的环境中,在决策过程中对模型拼盘的稳健性的渴望将暗示某些类型的防御措施的开支以牺牲他人的牺牲品。我们的业绩还提供了对政府在实践中分配安全支出的积极辩论的解释。

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