SSRN Home Search and Download Papers Browse Abstract and Paper Submission Subscribe to Networks View Briefcase Top Papers Top Authors Top Institutions

 

Abstract

 
 

References (21)

Beta

 


 



A Principal-Agent Model of Sequential Testing

Dino Gerardi
Yale University - Cowles Foundation

Lucas Maestri
affiliation not provided to SSRN


October 27, 2008

Cowles Foundation Discussion Paper No. 1680

Abstract:     
This paper analyzes the optimal provision of incentives in a sequential testing context. In every period the agent can acquire costly information that is relevant to the principal's decision. Neither the agent's effort nor the realizations of his signals are observable. First, we assume that the principal and the agent are symmetrically informed at the time of contracting. We construct the optimal mechanism and show that the agent is indifferent in every period between performing the test and sending an uninformative message which continues the relationship. Furthermore, in the first period the agent is indifferent between carrying out his task and sending an uninformative message which ends the relationship immediately. We then characterize the optimal mechanisms when the agent has superior information at the outset of the relationship. The principal prefers to offer different contracts if and only if the agent types are sufficiently diverse. Finally, all agent types benefit from their initial private information.

Keywords: Dynamic mechanism design, Information acquisition, Sequential testing

JEL Classifications: C72, D82, D83

Working Paper Series

Date posted: October 31, 2008 ; Last revised: October 31, 2008

Suggested Citation

Gerardi, Dino and Maestri, Lucas, A Principal-Agent Model of Sequential Testing (October 27, 2008). Cowles Foundation Discussion Paper No. 1680. Available at SSRN: http://ssrn.com/abstract=1290568


Export to: Export Citation What's this?

Contact Information

Dino Gerardi (Contact Author)
Yale University - Cowles Foundation ( email )
Box 208281
New Haven, CT 06520-8281
United States
203-432-3562 (Phone)
203-432-5779 (Fax)
Lucas Maestri
affiliation not provided to SSRN ( email )
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 120
Downloads: 39
References: 21

© 2010 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was served by apolloa 3 in 0.421 seconds.