A Multiplicative Model of Optimal CEO Incentives in Market Equilibrium
London Business School - Institute of Finance and Accounting; University of Pennsylvania - The Wharton School; National Bureau of Economic Research (NBER); European Corporate Governance Institute (ECGI); Centre for Economic Policy Research (CEPR)
New York University - Stern School of Business; National Bureau of Economic Research (NBER); Centre for Economic Policy Research (CEPR); European Corporate Governance Institute (ECGI)
Toulouse School of Economics
June 29, 2011
Review of Financial Studies, Vol. 22, No. 12, pp. 4881-4917, December 2009
EFA 2008 Athens Meetings Paper
This paper presents a unified theory of both the level and sensitivity of pay in competitive market equilibrium, by embedding a moral hazard problem into a talent assignment model. By considering multiplicative specifications for the CEO's utility and production functions, we generate a number of different results from traditional additive models. First, both the CEO's low fractional ownership (the Jensen-Murphy incentives measure) and its negative relationship with firm size can be quantitatively reconciled with optimal contracting, and thus need not reflect rent extraction. Second, the dollar change in wealth for a percentage change in firm value, divided by annual pay, is independent of firm size and therefore a desirable empirical measure of incentives. Third, incentive pay is effective at solving agency problems with multiplicative impacts on firm value, such as strategy choice. However, additive issues such as perk consumption are best addressed through direct monitoring.
Number of Pages in PDF File: 42
Keywords: Executive compensation, multiplicative preferences, pay-performance sensitivity, incentives, perks, optimal contracting, calibration
JEL Classification: D2, D3, G34, J3Accepted Paper Series
Date posted: March 19, 2008 ; Last revised: December 7, 2011
© 2015 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo3 in 0.828 seconds