Numerical Methods in Economics pdf epub mobi txt 電子書 下載2025
- 經濟學
- 數學
- economics
- Econometrics
- 經濟
- 教科書
- macroeconomics
- computer_science
- Numerical Methods Economics
- Computational Economics
- Econometrics
- Optimization
- Simulation
- Financial Modeling
- Economic Forecasting
- Machine Learning
- Data Analysis
- Modeling
具體描述
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.
著者簡介
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.
圖書目錄
Introduction
Elementary Concepts in Numerical Analysis
Linear Equations and Iterative Methods
Optimization
Non-linear Equations
Approximation Methods
Numerical Integration and Differentiation
Monte Carlo and Simulation Methods
QuasiMonte Carlo Methods
Finite Difference Methods
Projection Methods for Functional Equations
Numerical Dynamic Programming
Regular Perturbations of Simple Systems
Regular Perturbations in Multidimensional Systems
Advanced Asymptotic Methods
Solution Methods for Perfect Foresight Models
Solving Rational Expectations Models
References
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