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Identifying individual differences: An algorithm with application to Phineas Gage

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  • Houser, Daniel
  • Bechara, Antoine
  • Keane, Michael
  • McCabe, Kevin
  • Smith, Vernon
Abstract
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Suggested Citation

  • Houser, Daniel & Bechara, Antoine & Keane, Michael & McCabe, Kevin & Smith, Vernon, 2005. "Identifying individual differences: An algorithm with application to Phineas Gage," Games and Economic Behavior, Elsevier, vol. 52(2), pages 373-385, August.
    • Handle: RePEc:eee:gamebe:v:52:y:2005:i:2:p:373-385
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    References listed on IDEAS

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    1. Houser, Daniel & Winter, Joachim, 2004. "How Do Behavioral Assumptions Affect Structural Inference? Evidence from a Laboratory Experiment," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 64-79, January.
    2. Daniel Houser & Michael Keane & Kevin McCabe, 2004. "Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm," Econometrica, Econometric Society, vol. 72(3), pages 781-822, May.
    3. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 1999. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521631693, September.
    4. John Geweke & Michael P. Keane, 1996. "Bayesian inference for dynamic choice models without the need for dynamic programming," Working Papers 564, Federal Reserve Bank of Minneapolis.
    5. John Geweke & Michael P. Keane, 1997. "Mixture of normals probit models," Staff Report 237, Federal Reserve Bank of Minneapolis.
    6. McCabe, Kevin & Houser, Daniel & Ryan, Lee & Smith, Vernon & Trouard, Ted, 2001. "A Functional Imaging Study of Cooperation in Two-Person reciprocal Exchange," MPRA Paper 5172, University Library of Munich, Germany.
    7. Geweke, John & Houser, Dan & Keane, Michael, 1999. "Simulation Based Inference for Dynamic Multinomial Choice Models," MPRA Paper 54279, University Library of Munich, Germany.
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    Cited by:

    1. Gunnthorsdottir, Anna & Houser, Daniel & McCabe, Kevin, 2007. "Disposition, history and contributions in public goods experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 62(2), pages 304-315, February.
    2. Ching, Andrew T. & Erdem, Tülin & Keane, Michael P., 2014. "A simple method to estimate the roles of learning, inventories and category consideration in consumer choice," Journal of choice modelling, Elsevier, vol. 13(C), pages 60-72.
    3. Róbert F. Veszteg & Erita Narhetali, 2010. "Public‐good games and the Balinese," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 37(9), pages 660-675, August.
    4. Misha Koshelev & Terry Lohrenz & Marina Vannucci & P Read Montague, 2010. "Biosensor Approach to Psychopathology Classification," PLOS Computational Biology, Public Library of Science, vol. 6(10), pages 1-12, October.
    5. Houser, Daniel & Sands, Barbara & Xiao, Erte, 2009. "Three parts natural, seven parts man-made: Bayesian analysis of China's Great Leap Forward demographic disaster," Journal of Economic Behavior & Organization, Elsevier, vol. 69(2), pages 148-159, February.

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