Fr. 147.00

Numerical Methods in Economics

English · Paperback / Softback

Shipping usually within 6 to 7 weeks

Description

Read more

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 website contains supplementary material including programs and answers to exercises.

About the author










Kenneth L. Judd

Product details

Authors Kenneth L Judd, Kenneth L. Judd, Judd Kenneth L.
Publisher The MIT Press
 
Languages English
Age Recommendation from age 18
Product format Paperback / Softback
Released 04.04.2023
 
EAN 9780262547741
ISBN 978-0-262-54774-1
No. of pages 656
Subjects Education and learning > Teaching preparation > Vocational needs
Social sciences, law, business > Business > Economics

BUSINESS & ECONOMICS / Economics / Theory, BUSINESS & ECONOMICS / Econometrics, Economic theory & philosophy, Econometrics, Economic theory and philosophy, Econometrics and economic statistics

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.