Computational Methods in Economic Dynamics
Editor
- Herbert Dawid(Universität Bielefeld)Willi Semmler(New School for Social Research)
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-642-16943-4
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Citations
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Cited by:
- Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.
- Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.
Book Chapters
The following chapters of this book are listed in IDEAS- Herbert Dawid & Willi Semmler, 2011. "Editorial: Computational Methods in Economic Dynamics," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 1-2, Springer.
- Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2011. "Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 5-28, Springer.
- Hyungna Oh & Timothy D. Mount, 2011. "Using Software Agents to Supplement Tests Conducted by Human Subjects," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 29-56, Springer.
- Xue-Zhong He & Lei Shi, 2011. "Diversification Effect of Heterogeneous Beliefs," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 57-75, Springer.
- Stan Miles & Barry Smith, 2011. "Can Investors Benefit from Using Trading Rules Evolved by Genetic Programming? A Test of the Adaptive Efficiency of U.S. Stock Markets with Margin Trading Allowed," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 77-108, Springer.
- Tonatiuh Peña & Serafín Martínez & Bolanle Abudu, 2011. "Bankruptcy Prediction: A Comparison of Some Statistical and Machine Learning Techniques," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 109-131, Springer.
- Hongyan Li & Junjie Sun & Leigh Tesfatsion, 2011. "Testing Institutional Arrangements via Agent-Based Modeling: A U.S. Electricity Market Application," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 135-158, Springer.
- Sander Hoog & Christophe Deissenberg, 2011. "Energy Shocks and Macroeconomic Stabilization Policies in an Agent-Based Macro Model," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 159-181, Springer.
- Luca Marchiori & Patrice Pieretti & Benteng Zou, 2011. "The Impact of Migration on Origin Countries: A Numerical Analysis," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 183-195, Springer.
- Philipp Hungerländer & Reinhard Neck, 2011. "An Algorithmic Equilibrium Solution for n-Person Dynamic Stackelberg Difference Games with Open-Loop Information Pattern," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 197-214, Springer.
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