Numerical Methods in Economics

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Kenneth Lewis Judd is a computational economist at Stanford University, where he is the Paul H. Bauer Senior Fellow at the Hoover Institution. He received his PhD in economics from the University of Wisconsin in 1980. He is perhaps best known as the author of Numerical Methods in Economics, and he is also among the editors of the Handbook of Computational Economics and of the Journal of Economic Dynamics and Control.

出版者:The MIT Press
作者:Kenneth L. Judd
出品人:
页数:633
译者:
出版时间:1998-10-27
价格:USD 88.00
装帧:Hardcover
isbn号码:9780262100717
丛书系列:
图书标签:
  • 经济学 
  • 数学 
  • economics 
  • Econometrics 
  • 经济 
  • 教科书 
  • macroeconomics 
  • computer_science 
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To harness the full power of computer technology, economists need to use a broad range of mathematical techniques. In this book, Kenneth Judd presents techniques from the numerical analysis and applied mathematics literatures and shows how to use them in economic analyses.The book is divided into five parts. Part I provides a general introduction. Part II presents basics from numerical analysis on R^n,including linear equations, iterative methods, optimization, nonlinear equations, approximation methods, numerical integration and differentiation, and Monte Carlo methods. Part III covers methods for dynamic problems, including finite difference methods, projection methods, and numerical dynamic programming. Part IV covers perturbation and asymptotic solution methods. Finally, Part V covers applications to dynamic equilibrium analysis, including solution methods for perfect foresight models and rational expectation models. A web site contains supplementary material including programs and answers to exercises.

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所以交叉学科的利用空间简直大的可怕。

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ch1-8/10-12

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ch1-8/10-12

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ch1-8/10-12

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所以交叉学科的利用空间简直大的可怕。

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