Estimation of a simple genetic algorithm applied to a laboratory experiment
AbstractThe aim of our contribution relies on studying the possibility of implementing a genetic algorithm in order to reproduce some characteristics of a simple laboratory experiment with human subjects. The novelty of our paper regards the estimation of the key-parameters of the algorithm, and the analysis of the characteristics of the estimator.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 24138.
Date of creation: Apr 2010
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Estimation; genetic algoritms; experimenst;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-08-06 (All new papers)
- NEP-CBE-2010-08-06 (Cognitive & Behavioural Economics)
- NEP-CMP-2010-08-06 (Computational Economics)
- NEP-ECM-2010-08-06 (Econometrics)
- NEP-EXP-2010-08-06 (Experimental Economics)
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- Lars Hansen, 1998. "A Damage Based Tax Mechanism for Regulation of Non-Point Emissions," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 12(1), pages 99-112, July.
- Camacho-Cuena, Eva & Requate, Till, 2012. "The regulation of non-point source pollution and risk preferences: An experimental approach," Ecological Economics, Elsevier, vol. 73(C), pages 179-187.
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