{"title":"海斯曼投票中地区偏见的本质","authors":"Nolan Kopkin","doi":"10.3233/JSA-180284","DOIUrl":null,"url":null,"abstract":"This study explores regional bias in Heisman voting from 1990–2016 using a negative binomial regression model with player-year fixed effects. Analysis confirms finalists receive higher vote tallies in home regions, on average. Additionally, results show regional vote tallies are decreasing in the fraction of other finalists in-region. Furthermore, evidence reveals finalists receive higher vote tallies for each game played against in-region teams and lower vote tallies for each game played by other finalists against in-region teams. Analysis is augmented by showing the recent increase in national television coverage of college football has been accompanied by a decline in regional bias. 5","PeriodicalId":53203,"journal":{"name":"Journal of Sports Analytics","volume":"21 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JSA-180284","citationCount":"2","resultStr":"{\"title\":\"The nature of regional bias in Heisman voting\",\"authors\":\"Nolan Kopkin\",\"doi\":\"10.3233/JSA-180284\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study explores regional bias in Heisman voting from 1990–2016 using a negative binomial regression model with player-year fixed effects. Analysis confirms finalists receive higher vote tallies in home regions, on average. Additionally, results show regional vote tallies are decreasing in the fraction of other finalists in-region. Furthermore, evidence reveals finalists receive higher vote tallies for each game played against in-region teams and lower vote tallies for each game played by other finalists against in-region teams. Analysis is augmented by showing the recent increase in national television coverage of college football has been accompanied by a decline in regional bias. 5\",\"PeriodicalId\":53203,\"journal\":{\"name\":\"Journal of Sports Analytics\",\"volume\":\"21 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3233/JSA-180284\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sports Analytics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/JSA-180284\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"HOSPITALITY, LEISURE, SPORT & TOURISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sports Analytics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/JSA-180284","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
This study explores regional bias in Heisman voting from 1990–2016 using a negative binomial regression model with player-year fixed effects. Analysis confirms finalists receive higher vote tallies in home regions, on average. Additionally, results show regional vote tallies are decreasing in the fraction of other finalists in-region. Furthermore, evidence reveals finalists receive higher vote tallies for each game played against in-region teams and lower vote tallies for each game played by other finalists against in-region teams. Analysis is augmented by showing the recent increase in national television coverage of college football has been accompanied by a decline in regional bias. 5