Nonlinearity, ComputationaL Complexity and Macroeconomic Modelling

In this paper we survey and appraise the main contributions to solving and stabilising non‐linear equation systems typically found in Economics. We are keen wherever possible to draw distinctions and limiting cases between different solution methods, define acceleration strategies and encourage the...

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Published in:Journal of economic surveys Vol. 13; no. 5; pp. 577 - 618
Main Authors: McAdam1, Peter, Hughes Hallett, A. J.
Format: Journal Article
Language:English
Published: Oxford, UK and Boston, USA Blackwell Publishers Ltd 01-12-1999
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Abstract In this paper we survey and appraise the main contributions to solving and stabilising non‐linear equation systems typically found in Economics. We are keen wherever possible to draw distinctions and limiting cases between different solution methods, define acceleration strategies and encourage the use of hybrid or switching algorithms. Both large‐scale traditional macroeconomic models as well as smaller non‐linear analytical models are considered.
AbstractList In this paper we survey and appraise the main contributions to solving and stabilising non‐linear equation systems typically found in Economics. We are keen wherever possible to draw distinctions and limiting cases between different solution methods, define acceleration strategies and encourage the use of hybrid or switching algorithms. Both large‐scale traditional macroeconomic models as well as smaller non‐linear analytical models are considered.
Author McAdam1, Peter
Hughes Hallett, A. J.
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  fullname: Hughes Hallett, A. J.
  organization: University of Strathclyde and CEPR
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crossref_primary_10_1016_j_econmod_2005_06_002
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SubjectTerms Algorithms
Economic models
Macroeconomic modelling
Macroeconomics
Mathematical economics
Modelling
Non-linear models
Nonlinearity
Numerical solution methods
Stability
Title Nonlinearity, ComputationaL Complexity and Macroeconomic Modelling
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