Improving Tatonnement Methods of Solving Heterogeneous Agent Models
Alexander Ludwig
No 4058, MEA discussion paper series from Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy
Abstract:
This paper modifies standard block Gauss-Seidel iterations used by tatonnement methods for solving large scale deterministic heterogeneous agent models. The composite method between first- and second-order tatonnement methods is shown to considerably improve convergence both in terms of speed as well as robustness relative to conventional first-order tatonnement methods. In addition, the relative advantage of the modified algorithm increases in the size and complexity of the economic model. Therefore, the algorithm allows significant reductions in computational time when solving large models. The algorithm is particularly attractive since it is easy to implement – it only augments conventional and intuitive tatonnement iterations with standard numerical methods.
JEL-codes: C63 C68 E13 (search for similar items in EconPapers)
Date: 2004-09-10
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://mea.mpisoc.mpg.de/uploads/user_mea_discussi ... msq96fgiman_dp58.pdf (application/pdf)
Related works:
Working Paper: Improving tatonnement methods for solving heterogeneous agent models (2004) 
Working Paper: Improving Tatonnement Methods for Solving Heterogeneous Agent Models (2004) 
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:mea:meawpa:04058
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in MEA discussion paper series from Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy, Amalienstraße 33, 80799 München, Germany.
Bibliographic data for series maintained by Henning Frankenberger ().