{"title":"估算席位和选票的党派优势","authors":"Alec Ramsay","doi":"10.1089/elj.2022.0031","DOIUrl":null,"url":null,"abstract":"A new classification of metrics is introduced: Seats–Votes Partisan Advantage (). Metrics in this class measure whether redistricting plans favor one political party or the other. Ten prominent measures of partisan bias are computed for a cross-section of past, present, and hypothetical congressional plans and are classified with respect to this new taxonomy. Of these ten, only (dis)proportionality and the efficiency gap are found to be measures of . One newer metric measures as well.","PeriodicalId":45644,"journal":{"name":"Election Law Journal","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating Seats–Votes Partisan Advantage\",\"authors\":\"Alec Ramsay\",\"doi\":\"10.1089/elj.2022.0031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new classification of metrics is introduced: Seats–Votes Partisan Advantage (). Metrics in this class measure whether redistricting plans favor one political party or the other. Ten prominent measures of partisan bias are computed for a cross-section of past, present, and hypothetical congressional plans and are classified with respect to this new taxonomy. Of these ten, only (dis)proportionality and the efficiency gap are found to be measures of . One newer metric measures as well.\",\"PeriodicalId\":45644,\"journal\":{\"name\":\"Election Law Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Election Law Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1089/elj.2022.0031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"LAW\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Election Law Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1089/elj.2022.0031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LAW","Score":null,"Total":0}
A new classification of metrics is introduced: Seats–Votes Partisan Advantage (). Metrics in this class measure whether redistricting plans favor one political party or the other. Ten prominent measures of partisan bias are computed for a cross-section of past, present, and hypothetical congressional plans and are classified with respect to this new taxonomy. Of these ten, only (dis)proportionality and the efficiency gap are found to be measures of . One newer metric measures as well.
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