EconPapers    
Economics at your fingertips  
 

Variational Inequality Type Formulations of General Market Equilibrium Problems with Local Information

Igor Konnov ()

Journal of Optimization Theory and Applications, 2021, vol. 188, issue 2, No 2, 332-355

Abstract: Abstract We suggest a new approach to creation of general market equilibrium models involving economic agents with local and partial knowledge about the system and under different restrictions. The market equilibrium problem is then formulated as a quasi-variational inequality that enables us to establish existence results for the model in different settings. We also describe dynamic processes, which fall into information exchange schemes of the proposed market model. In particular, we propose an iterative solution method for quasi-variational inequalities, which is based on evaluations of the proper market information only in a neighborhood of the current market state without knowledge of the whole feasible set and prove its convergence.

Keywords: General market equilibrium; Quasi-variational inequality; Local knowledge; Existence of solutions; Iterative processes; 91B50; 91B55; 49J40; 65K10 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-020-01777-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Working Paper: Variational Inequality Type Formulations of General Market Equilibrium Problems with Local Information (2020) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:188:y:2021:i:2:d:10.1007_s10957-020-01777-9

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-020-01777-9

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:188:y:2021:i:2:d:10.1007_s10957-020-01777-9