Handbook of Computational Economics, 1st Edition

  • Published By:
  • ISBN-10: 0080931782
  • ISBN-13: 9780080931784
  • DDC: 330.01
  • Grade Level Range: College Freshman - College Senior
  • 688 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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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.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Introduction to the Series.
Introduction for Volume 3 of the Handbook of Computational Economics.
1: Learning About Learning in Dynamic Economic Models.
2: On the Numerical Solution of Equilibria in Auction Models with Asymmetries within the Private-Values Paradigm.
3: Analyzing Fiscal Policies in a Heterogeneous-Agent Overlapping-Generations Economy.
4: On Formulating and Solving Portfolio Decision and Asset Pricing Problems.
5: Computational Methods for Derivatives with Early Exercise Features.
6: Solving and Simulating Models with Heterogeneous Agents and Aggregate Uncertainty.
7: Numerical Methods for Large-Scale Dynamic Economic Models.
8: Advances in Numerical Dynamic Programming and New Applications.
9: Analysis of Numerical Errors.
10: GPU Computing in Economics.
11: Computing All Solutions to Polynomial Equations in Economics.