Replication Data for: How to Measure Legislative District Compactness If You Only Know It When You See It
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/FA8FVF
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资源简介:
To deter gerrymandering, many state constitutions require legislative districts to be
“compact.” Yet, the law offers few precise definitions other than “you know it when
you see it,” which effectively implies a common understanding of the concept. In
contrast, academics have shown that compactness has multiple dimensions and have
generated many conflicting measures. We hypothesize that both are correct—that
compactness is complex and multidimensional, but a common understanding exists
across people. We develop a survey to elicit this understanding, with high reliability
(in data where the standard paired comparisons approach fails). We create a statistical model that predicts, with high accuracy, solely from the geometric features of the district, compactness evaluations by judges and public officials responsible for
redistricting, among others. We also offer compactness data from our validated measure for 17,896 state legislative and congressional districts, as well as software to
compute this measure from any district.
提供机构:
Harvard Dataverse
创建时间:
2021-03-22



