论文标题
将投票区与不确定的数据包络分析进行比较
Comparing Voting Districts with Uncertain Data Envelopment Analysis
论文作者
论文摘要
格里·曼德（Gerrymandering）的投票区是当代美国社会最突出的关注之一，创建新的投票地图以及随后的法律挑战，都表明了我们的许多现代政治话语。关于可服务的投票区的法律，社会和政治辩论需要一个公平的概念，这是一个宽松的特征，但无定形的概念，已经避免了精确的定义。我们提出了一个新的范式来比较投票地图，以避免与先验度量相关的陷阱用于统一评估地图。相反，我们的评估方法表明了如何使用不确定的数据包络分析来评估各种指标的地图，该策略允许每个地区分别和最佳评估。我们在提议的公开图中测试我们的方法，以说明我们的评估策略。
Gerrymandering voting districts is one of the most salient concerns of contemporary American society, and the creation of new voting maps, along with their subsequent legal challenges, speaks for much of our modern political discourse. The legal, societal, and political debate over serviceable voting districts demands a concept of fairness, which is a loosely characterized, but amorphous, concept that has evaded precise definition. We advance a new paradigm to compare voting maps that avoids the pitfalls associated with an a priori metric being used to uniformly assess maps. Our evaluative method instead shows how to use uncertain data envelopment analysis to assess maps on a variety of metrics, a tactic that permits each district to be assessed separately and optimally. We test our methodology on a collection of proposed and publicly available maps to illustrate our assessment strategy.
