{"title":"灾难性的自由裁量权:模棱两可的决策情况会助长政治偏袒","authors":"Stephan A. Schneider, Sven Kunze","doi":"10.2139/ssrn.3786196","DOIUrl":null,"url":null,"abstract":"Allocation decisions are vulnerable to political influence, but it is unclear in which situations politicians use their discretionary power in a partisan manner. We analyze the allocation of presidential disaster declarations in the United States, exploiting the spatiotemporal randomness of all hurricane strikes from 1965–2018. We show that biased declaration behavior is not politically affordable if a disaster is either very strong or weak, when relief provision is clearly necessary or not. However, in ambiguous situations, after medium-intensity hurricanes, presidents favor areas governed by their co-partisans. Our nonlinear estimations demonstrate that this hump-shaped alignment bias exceeds average estimates up to eightfold.","PeriodicalId":360236,"journal":{"name":"Political Economy: Government Expenditures & Related Policies eJournal","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Disastrous Discretion: Ambiguous Decision Situations Foster Political Favoritism\",\"authors\":\"Stephan A. Schneider, Sven Kunze\",\"doi\":\"10.2139/ssrn.3786196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Allocation decisions are vulnerable to political influence, but it is unclear in which situations politicians use their discretionary power in a partisan manner. We analyze the allocation of presidential disaster declarations in the United States, exploiting the spatiotemporal randomness of all hurricane strikes from 1965–2018. We show that biased declaration behavior is not politically affordable if a disaster is either very strong or weak, when relief provision is clearly necessary or not. However, in ambiguous situations, after medium-intensity hurricanes, presidents favor areas governed by their co-partisans. Our nonlinear estimations demonstrate that this hump-shaped alignment bias exceeds average estimates up to eightfold.\",\"PeriodicalId\":360236,\"journal\":{\"name\":\"Political Economy: Government Expenditures & Related Policies eJournal\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Political Economy: Government Expenditures & Related Policies eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3786196\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Political Economy: Government Expenditures & Related Policies eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3786196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Disastrous Discretion: Ambiguous Decision Situations Foster Political Favoritism
Allocation decisions are vulnerable to political influence, but it is unclear in which situations politicians use their discretionary power in a partisan manner. We analyze the allocation of presidential disaster declarations in the United States, exploiting the spatiotemporal randomness of all hurricane strikes from 1965–2018. We show that biased declaration behavior is not politically affordable if a disaster is either very strong or weak, when relief provision is clearly necessary or not. However, in ambiguous situations, after medium-intensity hurricanes, presidents favor areas governed by their co-partisans. Our nonlinear estimations demonstrate that this hump-shaped alignment bias exceeds average estimates up to eightfold.