Solutions Manual for Recursive Methods in Economic Dynamics / Edition 1

Solutions Manual for Recursive Methods in Economic Dynamics / Edition 1

by Claudio Irigoyen, Mark L. J. Wright
     
 

ISBN-10: 067400888X

ISBN-13: 9780674008885

Pub. Date: 01/30/2003

Publisher: Harvard

This solutions manual is a valuable companion volume to the classic textbook Recursive Methods in Economic Dynamics by Nancy L. Stokey, Robert E. Lucas, Jr., and Edward C. Prescott. The exercises in the Stokey et al. book are integral to the text, and thus, a reader cannot fully appreciate the text without understanding the results developed in the exercises

Overview

This solutions manual is a valuable companion volume to the classic textbook Recursive Methods in Economic Dynamics by Nancy L. Stokey, Robert E. Lucas, Jr., and Edward C. Prescott. The exercises in the Stokey et al. book are integral to the text, and thus, a reader cannot fully appreciate the text without understanding the results developed in the exercises. This manual provides detailed answers to the central exercises in Recursive Methods.

The authors’ selection of exercises is designed to maximize the reader’s understanding of Recursive Methods. Solutions are presented to every question in the core chapters on recursive methods, as well as most questions from the chapters on mathematical background. Some questions from the chapters on applications of these techniques to economic models have been reserved so as to provide instructors with a crucial “test bank” of questions.

Efficient and lucid in approach, this manual will greatly enhance the value of Recursive Methods as a text for self-study.

Product Details

ISBN-13:
9780674008885
Publisher:
Harvard
Publication date:
01/30/2003
Edition description:
New Edition
Pages:
304
Sales rank:
995,919
Product dimensions:
6.12(w) x 9.25(h) x (d)

Table of Contents

Foreword

1. Introduction

2. An Overview

3. Mathematical Preliminaries

4. Dynamic Programming under Certainty

5. Applications of Dynamic Programming under Certainty

6. Deterministic Dynamics

7. Measure Theory and Integration

8. Markov Processes

9. Stochastic Dynamic Programming

10. Applications of Stochastic Dynamic Programming

11. Strong Convergence of Markov Processes

12. Weak Convergence of Markov Processes

13. Applications of Convergence Results for Markov Processes

14. Laws of Large Numbers

15. Pareto Optima and Competitive Equilibria

16. Applications of Equilibrium Theory

17. Fixed-Point Arguments

18. Equilibria in Systems with Distortions

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