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From Market Jaws to the Newton Method: The Geometry of How a Market Can Solve Systems of Equations

In: Handbook of Experimental Economics Results

Author

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  • Bossaerts, Peter
  • Plott, Charles R.

Abstract

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Suggested Citation

  • Bossaerts, Peter & Plott, Charles R., 2008. "From Market Jaws to the Newton Method: The Geometry of How a Market Can Solve Systems of Equations," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 2, pages 22-24, Elsevier.
    • Handle: RePEc:eee:expchp:1-02
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    Cited by:

    1. Selten, Reinhard & Neugebauer, Tibor, 2019. "Experimental stock market dynamics: Excess bids, directional learning, and adaptive style-investing in a call-auction with multiple multi-period lived assets," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 209-224.
    2. Marco Cipriani & Ana Fostel & Daniel Houser, 2019. "Endogenous Leverage and Default in the Laboratory," Staff Reports 900, Federal Reserve Bank of New York.
    3. Eldad Yechiam & Amitay Kauffmann & Nathaniel J S Ashby & Gal Zahavi, 2017. "On the relation between economic bubbles and effort gaps between sellers and buyers: An experimental study," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-15, December.
    4. Barbara Ikica & Simon Jantschgi & Heinrich H. Nax & Diego G. Nuñez Duran & Bary S. R. Pradelski, 2023. "Competitive Market Behavior: Convergence And Asymmetry In The Experimental Double Auction," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1087-1126, August.
    5. Brewer, Paul & Ratan, Anmol, 2019. "Profitability, efficiency, and inequality in double auction markets with snipers," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 486-499.

    More about this item

    JEL classification:

    • C - Mathematical and Quantitative Methods

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