Economic dynamics: theory and computation

Table of contents

Preface
Common Symbols
1 Introduction
I Introduction to Dynamics
2 Introduction to Programming
3 Analysis in Metric Space
4 Introduction to Dynamics
5 Further Topics for Finite MCs
6 Infinite State Space
II Advanced Techniques
7 Integration
8 Density Markov Chains
9 Measure-Theoretic Probability
10 Stochastic Dynamic Programming
11 Stochastic Dynamics
12 More Stochastic Dynamic Programming
III Appendixes
Appendix A: Real Analysis
Appendix B: Chapter Appendixes
Bibliography
Index

The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems.
This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field.
The second edition offers a “programming-language agnostic” presentation using pseudocode. A completely rewritten chapter 1 covers conceptual issues concerning Markov chains such as ergodicity and stability, and chapter 2 now focuses on algorithms and techniques for program design and high-performance computing. The coverage of dynamic programming now emphasizes household problems rather than optimal growth. A supplementary website offers solutions to many exercises, code, and other resources.


https://mitpress.mit.edu/9780262544771/economic-dynamics/