Handbook of Computational Economics
eBook - ePub

Handbook of Computational Economics

  1. 688 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Handbook of Computational Economics

About this book

Handbook of Computational Economics summarizes recent advances in economic thought, revealing some of the potential offered by modern computational methods. With computational power increasing in hardware and algorithms, many economists are closing the gap between economic practice and the frontiers of computational mathematics. In their efforts to accelerate the incorporation of computational power into mainstream research, contributors to this volume update the improvements in algorithms that have sharpened econometric tools, solution methods for dynamic optimization and equilibrium models, and applications to public finance, macroeconomics, and auctions. They also cover the switch to massive parallelism in the creation of more powerful computers, with advances in the development of high-power and high-throughput computing.Much more can be done to expand the value of computational modeling in economics. In conjunction with volume one (1996) and volume two (2006), this volume offers a remarkable picture of the recent development of economics as a science as well as an exciting preview of its future potential.- Samples different styles and approaches, reflecting the breadth of computational economics as practiced today- Focuses on problems with few well-developed solutions in the literature of other disciplines- Emphasizes the potential for increasing the value of computational modeling in economics

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Yes, you can access Handbook of Computational Economics by Karl Schmedders,Kenneth L. Judd in PDF and/or ePUB format, as well as other popular books in Economics & Business Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
North Holland
Year
2013
Print ISBN
9780444529800
eBook ISBN
9780080931784
Topic
Economics
Subtopic
Business Mathematics
Index
Economics

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Acknowledgments
  7. Introduction to the Series
  8. Introduction for Volume 3 of the Handbook of Computational Economics
  9. Chapter 1. Learning About Learning in Dynamic Economic Models
  10. Chapter 2. On the Numerical Solution of Equilibria in Auction Models with Asymmetries within the Private-Values Paradigm
  11. Chapter 3. Analyzing Fiscal Policies in a Heterogeneous-Agent Overlapping-Generations Economy
  12. Chapter 4. On Formulating and Solving Portfolio Decision and Asset Pricing Problems
  13. Chapter 5. Computational Methods for Derivatives with Early Exercise Features
  14. Chapter 6. Solving and Simulating Models with Heterogeneous Agents and Aggregate Uncertainty
  15. Chapter 7. Numerical Methods for Large-Scale Dynamic Economic Models
  16. Chapter 8. Advances in Numerical Dynamic Programming and New Applications
  17. Chapter 9. Analysis of Numerical Errors
  18. Chapter 10. GPU Computing in Economics
  19. Chapter 11. Computing All Solutions to Polynomial Equations in Economics
  20. Index