{"title":"基于同行群的AT&T高管薪酬回归模型","authors":"R. Klimberg, K. Lawrence, Sheila M. Lawrence","doi":"10.1108/S1477-407020190000013013","DOIUrl":null,"url":null,"abstract":"This chapter concerns itself with the development of a regression model for determining the executive compensation of the AT&T CEO. The data observations for this model consist of a list of 21 comparable companies selected by the compensation committee of AT&T, its institutional investors, and AT&T advisors. A set of 24 financial variables for each of the companies is compiled as the data source for the regression model.","PeriodicalId":190722,"journal":{"name":"Advances in Business and Management Forecasting","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Regression Modeling Based on a Peer Group for the Executive Compensation of AT&T CEO\",\"authors\":\"R. Klimberg, K. Lawrence, Sheila M. Lawrence\",\"doi\":\"10.1108/S1477-407020190000013013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This chapter concerns itself with the development of a regression model for determining the executive compensation of the AT&T CEO. The data observations for this model consist of a list of 21 comparable companies selected by the compensation committee of AT&T, its institutional investors, and AT&T advisors. A set of 24 financial variables for each of the companies is compiled as the data source for the regression model.\",\"PeriodicalId\":190722,\"journal\":{\"name\":\"Advances in Business and Management Forecasting\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Business and Management Forecasting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/S1477-407020190000013013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Business and Management Forecasting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/S1477-407020190000013013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Regression Modeling Based on a Peer Group for the Executive Compensation of AT&T CEO
This chapter concerns itself with the development of a regression model for determining the executive compensation of the AT&T CEO. The data observations for this model consist of a list of 21 comparable companies selected by the compensation committee of AT&T, its institutional investors, and AT&T advisors. A set of 24 financial variables for each of the companies is compiled as the data source for the regression model.
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