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Titlebook: Computational Solution of Large-Scale Macroeconometric Models; Giorgio Pauletto Book 1997 Springer Science+Business Media Dordrecht 1997 Q

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發(fā)表于 2025-3-21 20:07:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Solution of Large-Scale Macroeconometric Models
編輯Giorgio Pauletto
視頻videohttp://file.papertrans.cn/234/233135/233135.mp4
叢書名稱Advances in Computational Economics
圖書封面Titlebook: Computational Solution of Large-Scale Macroeconometric Models;  Giorgio Pauletto Book 1997 Springer Science+Business Media Dordrecht 1997 Q
描述This book is the result of my doctoral dissertation research at the Department of Econometrics of the University of Geneva, Switzerland. This research was also partially financed by the Swiss National Science Foundation (grants 12- 31072.91 and 12-40300.94). First and foremost, I wish to express my deepest gratitude to Professor Manfred Gilli, my thesis supervisor, for his constant support and help. I would also like to thank the president of my jury, Professor Fabrizio Carlevaro, as well as the other members of the jury, Professor Andrew Hughes Hallett, Professor Jean-Philippe Vial and Professor Gerhard Wanner. I am grateful to my colleagues and friends of the Departement of Econometrics, especially David Miceli who provided constant help and kind understanding during all the stages of my research. I would also like to thank Pascale Mignon for proofreading my text and im- proving my English. Finally, I am greatly indebted to my parents for their kindness and encourage- ments without which I could never have achieved my goals. Giorgio Pauletto Department of Econometrics, University of Geneva, Geneva, Switzerland Chapter 1 Introduction The purpose of this book is to present the avai
出版日期Book 1997
關(guān)鍵詞Quasi-Newton method; Simulation; algorithms; modeling; nonlinear systems
版次1
doihttps://doi.org/10.1007/978-1-4757-2631-2
isbn_softcover978-1-4419-4778-9
isbn_ebook978-1-4757-2631-2Series ISSN 0929-130X
issn_series 0929-130X
copyrightSpringer Science+Business Media Dordrecht 1997
The information of publication is updating

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發(fā)表于 2025-3-21 21:35:43 | 只看該作者
Model Simulation on Parallel Computers,nt. This is probably true if we run single simulations on a model. However, if it comes to solving a model repeatedly a large number of times, as is the case for stochastic simulation, optimal control or the evaluation of forecast errors, the time necessary to execute this task on a computer can bec
板凳
發(fā)表于 2025-3-22 03:21:17 | 只看該作者
Rational Expectations Models,ying economic theory and also provide a response to the Lucas critique. These ongoing efforts gave rise to numerous models currently in use in various countries. Among others, we may mention MULTIMOD (Masson et al. [79]) used by the International Monetary Fund and MX-3 (Gagnon [41]) used by the Fede
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發(fā)表于 2025-3-22 11:42:41 | 只看該作者
Mir M. Seyedbagheri,Zhongqi He,Daniel C. Olk for linear systems. Some of these methods are part of the fundamental building blocks for many techniques for solving nonlinear systems presented later. The topic has been extensively studied and many methods have been analyzed in scientific computing literature, see e.g. Golub and Van Loan [56], G
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發(fā)表于 2025-3-22 14:03:58 | 只看該作者
https://doi.org/10.1007/978-94-007-4104-1nt. This is probably true if we run single simulations on a model. However, if it comes to solving a model repeatedly a large number of times, as is the case for stochastic simulation, optimal control or the evaluation of forecast errors, the time necessary to execute this task on a computer can bec
7#
發(fā)表于 2025-3-22 19:57:13 | 只看該作者
https://doi.org/10.1007/978-94-007-4104-1ying economic theory and also provide a response to the Lucas critique. These ongoing efforts gave rise to numerous models currently in use in various countries. Among others, we may mention MULTIMOD (Masson et al. [79]) used by the International Monetary Fund and MX-3 (Gagnon [41]) used by the Fede
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發(fā)表于 2025-3-22 21:37:48 | 只看該作者
Advances in Computational Economicshttp://image.papertrans.cn/c/image/233135.jpg
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發(fā)表于 2025-3-23 05:14:05 | 只看該作者
https://doi.org/10.1007/978-1-4757-2631-2Quasi-Newton method; Simulation; algorithms; modeling; nonlinear systems
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發(fā)表于 2025-3-23 05:49:23 | 只看該作者
978-1-4419-4778-9Springer Science+Business Media Dordrecht 1997
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