We show that the ways incentives can be provided during dynamic interaction depend very crucially on the manner in which players learn information. This conclusion is established in a general stationary environment with noisy public monitoring and frequent actions. The monitoring process can be represented by a sum of a multi-dimensional Brownian component and a jump process. We show that jumps can be used to provide incentives both with transfers and value burning while continuous information can be used to provide incentives only with transfers. Also, it is asymptotically optimal to use the cumulative realization of the Brownian component linearly. Additionally, we approximate the equilibrium payoff set for fixed small discount rates as the periods become short by a series of linear programming problems. These problems highlight how the two types of information can be used to provide incentives.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Society for Economic Dynamics in its series 2006 Meeting Papers with number
871.
Length: Date of creation: 03 Dec 2006 Date of revision: Handle: RePEc:red:sed006:871
Contact details of provider: Postal: Society for Economic Dynamics Anne Stubing CV Starr Center for Applied Economics 269 Mercer Street, Room 303 New York University New York, NY 10003 Fax: 1-860-486-4463 Email: Web page: http://www.EconomicDynamics.org/society.htm More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Christian Zimmermann).
Find related papers by JEL classification: C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information
This paper has been announced in the following NEP Reports:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Did you know? You can create a compilation of all publications of a group of people, say alumni of a program, your students or memers of an association.