Computational Economic Systems
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Computational Economic Systems : Models, Methods & Econometrics

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The approach to many problems in economic analysis has changed drastically with the development and dissemination of new and more efficient computational techniques. Computational Economic Systems: Models, Methods & Econometrics presents a selection of papers illustrating the use of new computational methods and computing techniques to solve economic problems.
Part I of the volume consists of papers which focus on modelling economic systems, presenting computational methods to investigate the evolution of behavior of economic agents, techniques to solve complex inventory models on a parallel computer and an original approach for the construction and solution of multicriteria models involving logical conditions.
Contributions to Part II concern new computational approaches to economic problems. We find an application of wavelets to outlier detection. New estimation algorithms are presented, one concerning seemingly related regression models, a second one on nonlinear rational expectation models and a third one dealing with switching GARCH estimation. Three contributions contain original approaches for the solution of nonlinear rational expectation models.
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Product details

  • Hardback | 284 pages
  • 165.1 x 243.8 x 22.9mm | 635.04g
  • Dordrecht, Netherlands
  • English
  • 1996 ed.
  • X, 284 p.
  • 0792338693
  • 9780792338697

Table of contents

Preface. Part One: Modeling Computational Economic Systems. Evolutionary Games and Genetic Algorithms; C.R. Birchenhall. The Emergence and Evolution of Self-Organized Coalitions; A. de Vany. Smart Systems and Simple Agents: Industry Pricing by Parallel and Genetic Strategies; R. Board, P.A. Tinsley. A Distributed Parallel Genetic Algorithm: An Application from Economic Dynamics; P.M. Beaumont, P.T. Bradshaw. Multi-Item Stochastic Inventory Models with Constraints and their Parallel Computation; Yuan Wang, Yuafan Deng. Building and Solving Multicriteria Models Involving Logical Conditions; R.L.V. Pinto, B. Rustem. Part Two: Computational Methods in Econometrics. Wavelets in Econometrics: An Application to Outlier Testing; S.A. Greenblatt. Linear versus Nonlinear Information Processing: A Look at Neural Networks; E. Barucci, et al. Solving Triangular Seemingly Unrelated Regression Equations Models on Massively Parallel Systems; E.J. Kontoghiorghes, E. Dinenis. Maximum Likelihood Estimation of Nonlinear Rational Expectations Models by Orthogonal Polynomial Projection Methods; M.J. Miranda. Structural Breaks and GARCH Modelling; S.G. Hall, M. Sola. Block Distributed Methods for Solving Multicountry Econometric Models; J. Faust, R. Tryon. Efficient Solution of Linear Equations Arising in a Nonlinear Economic Model; A.M. Bruaset. Solving Path-Dependent Rational Expectations Models Using the Fair-Taylor Method; F.J.H. Don, R.M.G. van Stratum. Author Index. Subject Index.
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