On the Use of Loose Monitoring and Lavish Pay in Agency

37 Pages Posted: 21 Feb 2008

See all articles by Qi Chen

Qi Chen

Duke University - Fuqua School of Business

Thomas Hemmer

Rice University - Jesse H. Jones Graduate School of Business

Yun Zhang

George Washington University

Date Written: February 2008

Abstract

In this paper, we study a setting where a firm (principal) is privately informed of the firm's potential and contracts with an agent to supply unobservable effort. We show it can be optimal for the firm to have loose monitoring in the sense that the monitoring system is less perfect than what is implied by a standard agency model a la Holmstrom (1979) and to provide lavish pay in the sense that the optimal contract provides the agent with higher expected utility than his reservation level. These two tools are used to achieve separation among different types of firms such that firms with low potential do not have incentives to mimic contracts offered by high potential firms. Our findings imply that although loose monitoring and lavish compensation offered to employees may be symptoms of firms squandering scarce resources provided by investors, they can also arise as an optimal contracting arrangement.

Keywords: Performance measure, lavish pay, information system, loose monitoring, conservatism

JEL Classification: M40, M41, M46, J33, G34, D82, B21

Suggested Citation

Chen, Qi and Hemmer, Thomas and Zhang, Yun, On the Use of Loose Monitoring and Lavish Pay in Agency (February 2008). Available at SSRN: https://ssrn.com/abstract=1096245 or http://dx.doi.org/10.2139/ssrn.1096245

Qi Chen

Duke University - Fuqua School of Business ( email )

Box 90120
Durham, NC 27708-0120
United States
(919) 660-7753 (Phone)

Thomas Hemmer

Rice University - Jesse H. Jones Graduate School of Business ( email )

6100 South Main Street
P.O. Box 1892
Houston, TX 77005-1892
United States

Yun Zhang (Contact Author)

George Washington University ( email )

2121 I Street NW
Washington, DC 20052
United States

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
208
Abstract Views
2,307
Rank
267,640
PlumX Metrics