株式会社極東書店トップ ＞ 商品一覧 ＞ Computational Economic Systems. Models, Methods and Econometrics.
商品詳細
Computational Economic Systems. Models, Methods and Econometrics. コンピュータによる経済システム論－モデル・方法・計量経済学
・ISBN 978-0-7923-3869-7 hard EUR 99.99
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| 著者・編者 | Gilli, M. (ed.), |
|---|---|
| シリーズ | Advanced in Computational Economics 5 |
| 出版社 | (Kluwer Academic, NE) |
| 出版年月 | 1996 |
| ページ数 | 282 pp. |
| 言語 | ENG |
| ニュース番号 | ＜420-170 425-133＞ |
解説
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.
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.