Computational Economic Systems Models, Methods & Econometrics / edited by Manfred Gilli.

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 computat...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Gilli, Manfred (Editor)
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 1996.
Edition:1st ed. 1996.
Series:Advances in Computational Economics, 5
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • One: Modeling Computational Economic Systems
  • Evolutionary Games and Genetic Algorithms
  • The Emergency and Evolution of Self-Organized Coalitions
  • Smart Systems and Simple Agents: Industry Pricing by Parallel and Genetic Strategies
  • A Distributed Parallel Genetic Algorithm: An Application from Economic Dynamics
  • Multi-Item Stochastic Inventory Models with Constraints and their Parallel Computation
  • Building and Solving Multicriteria Models Involving Logical Conditions
  • Two: Computational Methods in Econometrics
  • Wavelets in Econometrics: An Application to Outlier Testing
  • Linear Versus Nonlinear Information Processing: A Look at Neutral Networks
  • Solving Triangular Seemingly Unrelated Regression Equations Models on Massively Parallel Systems
  • Maximum Likelihood Estimation of Nonlinear Rational Expectations Models by Orthogonal Polynomial Projection Methods
  • Structural Breaks and GARCH Modelling
  • Block Distributed Methods for Solving Multicountry Econometric Models
  • Efficient Solution of Linear Equations Arising in a Nonlinear Economic Model
  • Solving Path-dependent Rational Expectations Models Using the Fair-Taylor Method
  • Author Index.