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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Year of publication:	2019
Authors:	Klimberg, Ronald K. ; Lawrence, Kenneth D. ; Lawrence, Sheila M.
Published in:	Advances in business and management forecasting : 13. - Bingley : Emerald Publishing Limited, ISBN 978-1-78754-289-1. - 2019, p. 115-120
Subject:	Führungskräfte \| Managers \| Managervergütung \| Executive compensation \| Regressionsanalyse \| Regression analysis \| Theorie \| Theory \| Soziale Gruppe \| Social group

Type of publication:	Article
Language:	English
Other identifiers:	10.1108/S1477-407020190000013013 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015090792