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.
Klimberg, R., Lawrence, K. and Lawrence, S. (2019), "Regression Modeling Based on a Peer Group for the Executive Compensation of AT&T CEO", Advances in Business and Management Forecasting (Advances in Business and Management Forecasting, Vol. 13), Emerald Publishing Limited, pp. 115-120. https://doi.org/10.1108/S1477-407020190000013013Download as .RIS
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