Efficient Statistical Equilibria in Markets
In this paper we will study statistical equilibria in commodity markets where agents have a specified utility attached to every transaction in their offer sets. A probability measure on the product of all offer sets is called benefit efficient if market transactions with higher total benefit are more probable. We will characterize all such probability measures and show how this defines a new family of statistical equilibria in commodity markets. If agents are indifferent with respect to utility, these equilibria reduce to the classical entropy maximizing states. Moreover, we show how to construct what we call the most likely explanation for a set of observed commodity prices.
|Date of creation:||26 May 2005|
|Contact details of provider:|| Postal: NHH, Department of Business and Management Science, Helleveien 30, N-5045 Bergen, Norway|
Phone: +47 55 95 92 93
Fax: +47 55 95 96 50
Web page: http://www.nhh.no/en/research-faculty/department-of-business-and-management-science.aspx
More information through EDIRC
References listed on IDEAS
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.:
- Krebs, Tom, 1997. "Statistical Equilibrium in One-Step Forward Looking Economic Models," Journal of Economic Theory, Elsevier, vol. 73(2), pages 365-394, April.
- Foley Duncan K., 1994. "A Statistical Equilibrium Theory of Markets," Journal of Economic Theory, Elsevier, vol. 62(2), pages 321-345, April.
- Anas, Alex, 1983. "Discrete choice theory, information theory and the multinomial logit and gravity models," Transportation Research Part B: Methodological, Elsevier, vol. 17(1), pages 13-23, February.
- Kurt Jörnsten & Inge Thorsen & Jan Ubøe, 2004. "Replication/prediction problems in the journey to work," Environment and Planning A, Pion Ltd, London, vol. 36(2), pages 347-364, February.
When requesting a correction, please mention this item's handle: RePEc:hhs:nhhfms:2005_002. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Stein Fossen)
If references are entirely missing, you can add them using this form.