In this paper, we apply techniques of ensemble analysis to understand the political baseline for Congressional representation in Colorado. We generate a large random sample of reasonable redistricting plans and determine the partisan balance of each district using returns from state-wide elections in 2018, and analyze the 2011/2012 enacted districts in this context. Colorado recently adopted a new framework for redistricting, creating an independent commission to draw district boundaries, prohibiting partisan bias and incumbency considerations, requiring that political boundaries (such as counties) be preserved as much as possible, and also requiring that mapmakers maximize the number of competitive districts. We investigate the relationships between partisan outcomes, number of counties which are split, and number of competitive districts in a plan. This paper also features two novel improvements in methodology--a more rigorous statistical framework for understanding necessary sample size, and a weighted-graph method for generating random plans which split approximately as few counties as acceptable human-drawn maps.
翻译:在本文中,我们运用混合分析技术来理解科罗拉多州国会代表的政治基线。我们利用2018年全州选举的回归,对合理的重新划分计划进行大量随机抽样,并用2018年全州选举的回归结果确定每个县的党派平衡,并分析在这方面制定的2011/2012年选区。 科罗拉多州最近通过了一个新的重新划分地区框架,创建了划分地区边界的独立委员会,禁止党派偏见和任职考虑,要求尽可能保留政治边界(如各州),并要求地图绘制者最大限度地增加有竞争力的地区的数量。我们调查了党派结果、分裂的县数和计划中竞争性县数之间的关系。 本文还介绍了两个新颖的改进,一个是更严格的统计框架,以了解必要的抽样规模,另一个是制定随机计划,将大约少数几个县分割为可接受的人所绘制的地图。