{"title":"猜测优于省略:世界经济自由中处理稀疏数据的更好方法","authors":"Ryan H. Murphy","doi":"10.2139/ssrn.2491378","DOIUrl":null,"url":null,"abstract":"Economic Freedom of the World, an economic index published by the Fraser Institute, has seen wide use inside and outside academia. Certain data issues arise, however, when complete data are unavailable. This paper proposes to mitigate or eliminate many of these issues by filling in the missing values using estimates derived from four regression models.","PeriodicalId":254025,"journal":{"name":"SMU Cox School of Business Research Paper Series","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Guesstimating is Superior to Omitting: A Better Way of Addressing Sparse Data in Economic Freedom of the World\",\"authors\":\"Ryan H. Murphy\",\"doi\":\"10.2139/ssrn.2491378\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Economic Freedom of the World, an economic index published by the Fraser Institute, has seen wide use inside and outside academia. Certain data issues arise, however, when complete data are unavailable. This paper proposes to mitigate or eliminate many of these issues by filling in the missing values using estimates derived from four regression models.\",\"PeriodicalId\":254025,\"journal\":{\"name\":\"SMU Cox School of Business Research Paper Series\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SMU Cox School of Business Research Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2491378\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SMU Cox School of Business Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2491378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
弗雷泽研究所(Fraser Institute)发布的世界经济自由度指数(Economic Freedom of World)在学术界内外得到了广泛应用。但是,当无法获得完整的数据时,就会出现某些数据问题。本文建议通过使用从四个回归模型中得出的估计值来填充缺失值来减轻或消除许多这些问题。
Guesstimating is Superior to Omitting: A Better Way of Addressing Sparse Data in Economic Freedom of the World
Economic Freedom of the World, an economic index published by the Fraser Institute, has seen wide use inside and outside academia. Certain data issues arise, however, when complete data are unavailable. This paper proposes to mitigate or eliminate many of these issues by filling in the missing values using estimates derived from four regression models.