Handbook of Computational Economics Vol 3 1st Edition by Karl Schmeddersm Kenneth Judd ISBN 978-0444529800 0444529802
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Product details:
ISBN 10: 0444529802
ISBN 13: 978-0444529800
Author: Karl Schmeddersm Kenneth L. Judd
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.
Table of contents:
1. Introduction
2. The Framework
3. What We Have Learned
3.1 Active Perturbation
3.2 Rapid Decrease in Parameter Variances in the First Few Periods
3.3 Nonconvexities
3.4 Rankings
3.5 Time-Varying Parameters
3.6 Model Sizes
4. What We Hope to Learn
4.1 Accuracy
4.2 Efficiency
4.3 Rankings
4.4 Nonconvexities
4.5 Measurement Errors
4.6 Time-Varying Parameters
4.7 Monte Carlo Runs
5. Algorithms and Codes
6. A Showcase on Active Learning
6.1 Outline of the Beck and Wieland Model
6.2 Constant Parameters
6.3 Time-Varying Parameters Version
7. Learning with Forward Looking Variables
7.1 Extending the Framework
7.2 An Example
8. Other Applications of Active Learning
9. Summary
References
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