REGRESSION MODELING BASED ON A PEER GROUP FOR THE EXECUTIVE COMPENSATION OF AT&T CEO

Ronald K. Klimberg, Kenneth D. Lawrence, Sheila M. Lawrence

Research output: Chapter in Book/Report/Conference proceedingChapter

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.

Original languageEnglish (US)
Title of host publicationAdvances in Business and Management Forecasting
PublisherEmerald Publishing
Pages115-120
Number of pages6
DOIs
StatePublished - 2019

Publication series

NameAdvances in Business and Management Forecasting
Volume13
ISSN (Print)1477-4070

All Science Journal Classification (ASJC) codes

  • General Business, Management and Accounting

Keywords

  • K-means
  • Regression
  • cluster analysis
  • compensation
  • modeling
  • stepwise

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