Partisan Dislocation: A Precinct-Level Measure of Representation and Gerrymandering

IF 4.7 2区 社会学 Q1 POLITICAL SCIENCE Political Analysis Pub Date : 2021-06-30 DOI:10.1017/pan.2021.13
Daryl R. DeFord, Nicholas Eubank, Jonathan Rodden
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引用次数: 9

Abstract

Abstract We introduce a fine-grained measure of the extent to which electoral districts combine and split local communities of co-partisans in unnatural ways. Our indicator—which we term Partisan Dislocation—is a measure of the difference between the partisan composition of a voter’s geographic nearest neighbors and that of her assigned district. We show that our measure is a good local and global indicator of district manipulation, easily identifying instances in which districts carve up clusters of co-partisans (cracking) or combine them in unnatural ways (packing). We demonstrate that our measure is related to but distinct from other approaches to the measurement of gerrymandering, and has some clear advantages, above all as a complement to simulation-based approaches, and as a way to identify the specific neighborhoods most affected by gerrymandering. It can also be used prospectively by district-drawers who wish to create maps that reflect voter geography, but according to our analysis, that goal will sometimes be in conflict with the goal of partisan fairness.
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党派错位:选区层面的代表性和选区划分
摘要:我们引入了一个细粒度的措施,在何种程度上选区结合和分裂共同党派的地方社区在不自然的方式。我们的指标——我们称之为党派错位——是衡量选民地理上最近的邻居和她指定选区的党派构成之间差异的指标。我们表明,我们的措施是一个很好的地方和全球地区操纵指标,很容易识别哪些地区瓜分了共同党派的集群(分裂)或以不自然的方式将它们组合在一起(打包)。我们证明,我们的测量方法与其他测量不公平选区划分的方法相关,但又不同,并且具有一些明显的优势,首先是作为基于模拟的方法的补充,以及作为识别受不公平选区划分影响最大的特定社区的一种方法。选区议员也可能会使用它来绘制反映选民地理分布的地图,但根据我们的分析,这一目标有时会与党派公平的目标相冲突。
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来源期刊
Political Analysis
Political Analysis POLITICAL SCIENCE-
CiteScore
8.80
自引率
3.70%
发文量
30
期刊介绍: Political Analysis chronicles these exciting developments by publishing the most sophisticated scholarship in the field. It is the place to learn new methods, to find some of the best empirical scholarship, and to publish your best research.
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