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Titlebook: Computational Economics and Econometrics; Hans M. Amman,David A. Belsley,Louis F. Pau Book 1992 Kluwer Academic Publishers 1992 Simulation

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書目名稱Computational Economics and Econometrics
編輯Hans M. Amman,David A. Belsley,Louis F. Pau
視頻videohttp://file.papertrans.cn/233/232257/232257.mp4
叢書名稱Advanced Studies in Theoretical and Applied Econometrics
圖書封面Titlebook: Computational Economics and Econometrics;  Hans M. Amman,David A. Belsley,Louis F. Pau Book 1992 Kluwer Academic Publishers 1992 Simulation
描述The field of Computational Economics is a fast growing area. Due to the limitations in analytical modeling, more and more researchers apply numerical methods as a means of problem solving. In tum these quantitative results can be used to make qualitative statements. This volume of the Advanced Series in Theoretical and Applied and Econometrics comprises a selected number of papers in the field of computational economics presented at the Annual Meeting of the Society Economic Dynamics and Control held in Minneapolis, June 1990. The volume covers ten papers dealing with computational issues in Econo- metrics, Economics and Optimization. The first five papers in these proceedings are dedicated to numerical issues in econometric estimation. The following three papers are concerned with computational issues in model solving and optimization. The last two papers highlight some numerical techniques for solving micro models. We are sure that Computational Economics will become an important new trend in Economics in the coming decade. Hopefully this volume can be one of the first contributions highlighting this new trend. The Editors H.M. Amman et a1. (eds), Computational Economics and Econ
出版日期Book 1992
關(guān)鍵詞Simulation; computational economics; econometrics; economics; latent variables; optimization
版次1
doihttps://doi.org/10.1007/978-94-011-3162-9
isbn_softcover978-94-010-5394-5
isbn_ebook978-94-011-3162-9Series ISSN 1570-5811 Series E-ISSN 2214-7977
issn_series 1570-5811
copyrightKluwer Academic Publishers 1992
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The Degree of Effective Identification and a Diagnostic Measure for Assessing it realize that one is unlikely even to attempt to define a measure of this sort for the degree of effective identification without knowing in the back of one’s mind that the computational power exists to provide the empirical input needed to bring it to life.
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Flughafenplanung in Deutschland,of stochastic control, resulting in one or more partial differential equations (PDEs). As most PDEs are difficult to solve analytically, we apply a simulation approach to investigate the characteristics of our model.
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1570-5811 numerical methods as a means of problem solving. In tum these quantitative results can be used to make qualitative statements. This volume of the Advanced Series in Theoretical and Applied and Econometrics comprises a selected number of papers in the field of computational economics presented at the
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Nonstationary Model Solution Techniques and the USA Algorithmter Fast-Gauss-Seidel iterations for solving large-scale nonlinear macroeconomic models. Specific attention is drawn to their robustness properties and computational costs. On both grounds, the USA algorithm is found to compare unfavourably for a selection of models of the UK economy.
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