On Convergence of the PIES Algorithm for Computing Equilibria
Byong-Hun Ahn and
William W. Hogan
Additional contact information
Byong-Hun Ahn: Korea Advanced Institute of Science, Seoul, Korea
William W. Hogan: Harvard University, Cambridge, Massachusetts
Operations Research, 1982, vol. 30, issue 2, 281-300
Abstract:
Equilibria in market models with continuous market supply functions can be obtained by computing fixed points. With an activity analysis representation of production, fixed-point algorithms would converge slowly. Further, since the market model here is of a partial equilibrium nature, the market demand function may not exhibit the integratability condition, precluding the formulation of the market equilibrium problem as an economic surplus maximization problem. We examine an iterative algorithm, the PIES method, for locating equilibria in markets whose production is described by optimization over a finite set of activities and whose econometric demand function does not possess the integrability property. Convergence properties of the algorithm along with existence and uniqueness of market equilibrium are summarized.
Keywords: 131 computation of market equilibrium; 473 computation of energy market model; 622 computation of equilibrium points (search for similar items in EconPapers)
Date: 1982
References: Add references at CitEc
Citations: View citations in EconPapers (32)
Downloads: (external link)
http://dx.doi.org/10.1287/opre.30.2.281 (application/pdf)
Related works:
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:inm:oropre:v:30:y:1982:i:2:p:281-300
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().