Computational Techniques for Econometrics and Economic Analysis

1. Front Matter

   Pages i-ix

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2. The Computer and Econometric Methods

   1. Front Matter

      Pages 1-1

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   2. Computational Aspects of Nonparametric Simulation Estimation

      • Ravi Bansal, A. Ronald Gallant, Robert Hussey, George Tauchen

      Pages 3-22

   3. On the Accuracy and Efficiency of GMM Estimators: A Monte Carlo Study

      • A. J. Hughes Hallett, Yue Ma

      Pages 23-44

   4. A Bootstrap Estimator for Dynamic Optimization Models

      • Albert J. Reed, Charles Hallahan

      Pages 45-63

   5. Computation of Optimum Control Functions by Lagrange Multipliers

      • Gregory C. Chow

      Pages 65-72

3. The Computer and Economic Analysis

   1. Front Matter

      Pages 73-73

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   2. Computational Approaches to Learning with Control Theory

      • David Kendrick

      Pages 75-87

   3. Computability, Complexity and Economics

      • Alfred Lorn Norman

      Pages 89-108

   4. Robust Min-max Decisions with Rival Models

      • Berç Rustem

      Pages 109-134

4. Computational Techniques for Econometrics

   1. Front Matter

      Pages 135-135

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   2. Wavelets in Macroeconomics: An Introduction

      • William L. Goffe

      Pages 137-149

   3. MatClass: A Matrix Class for C++

      • C. R. Birchenhall

      Pages 151-172

   4. Parallel Implementations of Primal and Dual Algorithms For Matrix Balancing

      • Ismail Chabini, Omar Drissi-Kaïtouni, Michael Florian

      Pages 173-185

5. The Computer and Econometric Studies

   1. Front Matter

      Pages 187-187

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   2. Variational Inequalities for the Computation of Financial Equilibria in the Presence of Taxes and Price Controls

      • Anna Nagurney, June Dong

      Pages 189-205

   3. Modeling Dynamic Resource Adjustment Using Iterative Least Squares

      • Agapi Somwaru, V. Eldon Ball, Utpal Vasavada

      Pages 207-218

   4. Intensity of Takeover Defenses: The Empirical Evidence

      • Atreya Chakraborty, Christopher F. Baum

      Pages 219-231

6. Back Matter

   Pages 233-238

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It is unlikely that any frontier of economics/econometrics is being pushed faster, further than that of computational techniques. The computer has become a tool for performing as well as an environment in which to perform economics and econometrics, taking over where theory bogs down, allowing at least approximate answers to questions that defy closed mathematical or analytical solutions. Tasks may now be attempted that were hitherto beyond human potential, and all the forces available can now be marshalled efficiently, leading to the achievement of desired goals.
Computational Techniques for Econometrics and Economic Analysis is a collection of recent studies which exemplify all these elements, demonstrating the power that the computer brings to the economic analysts. The book is divided into four parts: 1 -- the computer and econometric methods; 2 -- the computer and economic analysis; 3 -- computational techniques for econometrics; and 4 -- the computer and econometric studies.

• Estimator
• Simulation
• algorithms
• calculus
• econometrics
• optimization

• Boston College, Chestnut Hill, USA

  D. A. Belsley

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