{"title":"基尼系数:修订建议","authors":"U. Carrascal","doi":"10.24309/RECTA.2020.21.1.01","DOIUrl":null,"url":null,"abstract":"The Gini index is widely used in statistics for the study of equity in the distribution of a variable. However, its definition has several formulations and its use sometimes has hidden problems that can lead to incorrect conclusions. That is the reason why it is necessary to make some remarks this regard and even formulate some proposals to clarify some errors on its definition and use. We present an alternative to solve this error in one of the most popular formulas of the Gini index.","PeriodicalId":264903,"journal":{"name":"Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Gini index: A proposal for revision\",\"authors\":\"U. Carrascal\",\"doi\":\"10.24309/RECTA.2020.21.1.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Gini index is widely used in statistics for the study of equity in the distribution of a variable. However, its definition has several formulations and its use sometimes has hidden problems that can lead to incorrect conclusions. That is the reason why it is necessary to make some remarks this regard and even formulate some proposals to clarify some errors on its definition and use. We present an alternative to solve this error in one of the most popular formulas of the Gini index.\",\"PeriodicalId\":264903,\"journal\":{\"name\":\"Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24309/RECTA.2020.21.1.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24309/RECTA.2020.21.1.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Gini index is widely used in statistics for the study of equity in the distribution of a variable. However, its definition has several formulations and its use sometimes has hidden problems that can lead to incorrect conclusions. That is the reason why it is necessary to make some remarks this regard and even formulate some proposals to clarify some errors on its definition and use. We present an alternative to solve this error in one of the most popular formulas of the Gini index.