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Estimation of a simple genetic algorithm applied to a laboratory experiment

Author

Listed:
  • Alfarano, Simone
  • Eva, Camacho
  • Josep, Domènech

Abstract

The 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.

Suggested Citation

  • Alfarano, Simone & Eva, Camacho & Josep, Domènech, 2010. "Estimation of a simple genetic algorithm applied to a laboratory experiment," MPRA Paper 24138, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:24138
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    File URL: https://mpra.ub.uni-muenchen.de/24138/1/MPRA_paper_24138.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. Lars Hansen, 1998. "A Damage Based Tax Mechanism for Regulation of Non-Point Emissions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 12(1), pages 99-112, July.
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    More about this item

    Keywords

    Estimation; genetic algoritms; experimenst;
    All these keywords.

    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

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