Learning competitive equilibrium
Abstract
We consider a pure exchange economy repeated from a fixed endowment for an indefinite number of periods and posit a learning rule which directs convergence to competitive equilibrium. In each period trade converges to an allocation in the contract set, where agents interpret the current (common) normalized utility gradient as a vector of prices to determine the implied wealth redistribution relative to their endowments. Agents who are less wealthy at the new allocation are designated subsidizers, and demand to provide smaller subsidies in subsequent periods of economic activity. Our model is a globally stable alternative to Walras' tâtonnement.Download Info
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Bibliographic Info
Article provided by Elsevier in its journal Journal of Mathematical Economics.
Volume (Year): 44 (2008)
Issue (Month): 7-8 (July)
Pages: 651-671
Contact details of provider:
Web page: http://www.elsevier.com/locate/jmateco
Related research
Keywords:Other versions of this item:
- Sean Crockett & Stephen Spear & Shyam Sunder, 1899. "Learning Competitive Equilibrium," GSIA Working Papers 2003-E18, Carnegie Mellon University, Tepper School of Business.
References
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Duffy, John, 2006.
"Agent-Based Models and Human Subject Experiments,"
Handbook of Computational Economics,
in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011
Elsevier.
- John Duffy, 2004. "Agent-Based Models and Human Subject Experiments," Computational Economics 0412001, EconWPA.
- Jacob K. Goeree & Luke Lindsay, 2012. "Stabilizing the economy: Market design and general equilibrium," ECON - Working Papers 092, Department of Economics - University of Zurich.
- Paola Tubaro, 2009. "Agent-based Computational Economics: a Methodological Appraisal," EconomiX Working Papers 2009-42, University of Paris West - Nanterre la Défense, EconomiX.
- Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2008. "Allocative efficiency and traders' protection under zero intelligence behavior," Working Papers 168, Department of Applied Mathematics, Università Ca' Foscari Venezia, revised Nov 2009.
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