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Information processing and decision-making: Evidence from the brain sciences and implications for economics

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  • Brocas, Isabelle
Abstract
This article assesses the potential benefits of including findings from neurobiology in economic decision-making models. First, we emphasize that the evidence supports both ‘expected utility-like’ theory and ‘Bayesian-like’ information acquisition theory. Second, we explain that inferences and representations are subject to physiological limitations that affect decision making. We report in particular two ‘mechanical’ models developed in neuroscience to represent neural data and choices. We then propose two economic models that incorporate physiological limitations into an expected utility framework. Interestingly, these two models provide foundations for those developed in neuroscience (which emerge endogenously in our framework) and provide further predictions that can be tested in principle. This allows us to discuss the benefits of bringing together evidence from neuroscience and economic modeling.

Suggested Citation

  • Brocas, Isabelle, 2012. "Information processing and decision-making: Evidence from the brain sciences and implications for economics," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 292-310.
  • Handle: RePEc:eee:jeborg:v:83:y:2012:i:3:p:292-310
    DOI: 10.1016/j.jebo.2012.06.004
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    References listed on IDEAS

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    2. Camillo Padoa-Schioppa & John A. Assad, 2006. "Neurons in the orbitofrontal cortex encode economic value," Nature, Nature, vol. 441(7090), pages 223-226, May.
    3. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    4. Glimcher, Paul W. & Dorris, Michael C. & Bayer, Hannah M., 2005. "Physiological utility theory and the neuroeconomics of choice," Games and Economic Behavior, Elsevier, vol. 52(2), pages 213-256, August.
    5. Arbora Resulaj & Roozbeh Kiani & Daniel M. Wolpert & Michael N. Shadlen, 2009. "Changes of mind in decision-making," Nature, Nature, vol. 461(7261), pages 263-266, September.
    6. Isabelle Brocas & Juan D. Carrillo, 2007. "Influence through ignorance," RAND Journal of Economics, RAND Corporation, vol. 38(4), pages 931-947, December.
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    Citations

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    Cited by:

    1. Zakaria Babutsidze, 2012. "If you love it I'll probably hate it : local interaction among consumers of information goods," Documents de Travail de l'OFCE 2012-24, Observatoire Francais des Conjonctures Economiques (OFCE).
    2. Maran, Thomas & Ravet-Brown, Theo & Angerer, Martin & Furtner, Marco & Huber, Stefan E., 2020. "Intelligence predicts choice in decision-making strategies," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 84(C).
    3. Clithero, John A., 2018. "Response times in economics: Looking through the lens of sequential sampling models," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 61-86.
    4. Ricardo Alonso & Isabelle Brocas & Juan D. Carrillo, 2014. "Resource Allocation in the Brain," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 501-534.
    5. Brocas, Isabelle & Carrillo, Juan D., 2021. "Value computation and modulation: A neuroeconomic theory of self-control as constrained optimization," Journal of Economic Theory, Elsevier, vol. 198(C).
    6. Saeed P. Langarudi & Carlos G. Silva & Alexander G. Fernald, 2021. "Measure more or report faster? Effect of information perception on management of commons," System Dynamics Review, System Dynamics Society, vol. 37(1), pages 72-92, January.
    7. Altmann, Steffen & Grunewald, Andreas & Radbruch, Jonas, 2019. "Passive Choices and Cognitive Spillovers," IZA Discussion Papers 12337, Institute of Labor Economics (IZA).
    8. Marek Jenöffy-Lochau, 2013. "Information, Credibility, and Endogenous Preferences," Post-Print hal-04139636, HAL.
    9. Nicolas Brisset & Dorian Jullien, 2019. "Models as Speech Acts: A Restatement and a new Case Study," GREDEG Working Papers 2019-09, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    10. Ennio Bilancini & Leonardo Boncinelli, 2014. "Persuasion with Reference Cues and Elaboration Costs," Center for Economic Research (RECent) 102, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    11. Brocas, Isabelle & Carrillo, Juan D., 2014. "Dual-process theories of decision-making: A selective survey," Journal of Economic Psychology, Elsevier, vol. 41(C), pages 45-54.
    12. Bilancini, Ennio & Boncinelli, Leonardo, 2018. "Rational attitude change by reference cues when information elaboration requires effort," Journal of Economic Psychology, Elsevier, vol. 65(C), pages 90-107.
    13. Clithero, John A., 2018. "Improving out-of-sample predictions using response times and a model of the decision process," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 344-375.

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    More about this item

    Keywords

    Neurobiology; Decision-making; Economic modeling;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

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