Abstract

 
 

References (8)



 
 

Citations (4)



 


 



Coalition-Proof Trade and the Friedman Rule in the Lagos-Wright Model


Tai-Wei Hu


affiliation not provided to SSRN

John Kennan


University of Wisconsin; National Bureau of Economic Research (NBER)

Neil Wallace


Pennsylvania State University, College of the Liberal Arts - Department of Economic

August 2007

NBER Working Paper No. w13310

Abstract:     
The Lagos-Wright model -- a monetary model in which pairwise meetings alternate in time with a centralized meeting -- has been extensively analyzed, but always using particular trading protocols. Here, trading protocols are replaced by two alternative notions of implementability: one that allows only individual defections and one that also allows cooperative defections in meetings. It is shown that the first-best allocation is implementable under the stricter notion with- out taxation if people are sufficiently patient. And, if people are free to skip the centralized meeting, then lump-sum taxation used to pay interest on money does not enlarge the set of implementable allocations.

Number of Pages in PDF File: 26

working papers series


Download This Paper

Date posted: August 10, 2007  

Suggested Citation

Hu, Tai-Wei, Kennan, John and Wallace, Neil, Coalition-Proof Trade and the Friedman Rule in the Lagos-Wright Model (August 2007). NBER Working Paper No. w13310. Available at SSRN: http://ssrn.com/abstract=1005912

Contact Information

Tai-Wei Hu
affiliation not provided to SSRN ( email )
John Kennan (Contact Author)
University of Wisconsin ( email )
1180 Observatory Drive
Madison, WI 53706
United States
608-262-5393 (Phone)
608-263-3876 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Neil Wallace
Pennsylvania State University, College of the Liberal Arts - Department of Economic ( email )
524 Kern Graduate Building
University Park, PA 16802-3306
United States
814-863-3805 (Phone)
814-863-4775 (Fax)
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 389
Downloads: 22
References:  8
Citations:  4

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo4 in 0.578 seconds