A regression model to forecast the compensation of top level executives at metlife

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 an executive compensation forecasting of the top-level executives of MetLife. The data observations consist of a list of 12 comparable corporations selected from comparable financial institutions. A set of 28 financial variables from each of the corporations is compiled as the data source of this regression model.

Original languageEnglish (US)
Title of host publicationAdvances in Business and Management Forecasting
PublisherEmerald Group Holdings Ltd.
Pages23-27
Number of pages5
DOIs
StatePublished - 2021

Publication series

NameAdvances in Business and Management Forecasting
Volume14
ISSN (Print)1477-4070

All Science Journal Classification (ASJC) codes

  • General Business, Management and Accounting

Keywords

  • Benchmarking
  • Best subsets regression
  • Executive compensation
  • Financial performance variables
  • Financial services compensation
  • Peer corporation

Fingerprint

Dive into the research topics of 'A regression model to forecast the compensation of top level executives at metlife'. Together they form a unique fingerprint.

Cite this