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Cognitive Skills and the Development of Strategic Sophistication

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  • Fe, Eduardo

    (University of Strathclyde)

  • Gill, David

    (Purdue University)

Abstract

In this paper we investigate how observable cognitive skills influence the development of strategic sophistication. To answer this question, we study experimentally how psychometric measures of theory-of-mind and cognitive ability (or 'fluid intelligence') work together with age to determine the strategic ability and level-k behavior of children in a variety of incentivized strategic interactions. We find that better theory-of-mind and cognitive ability predict strategic sophistication in competitive games. Furthermore, age and cognitive ability act in tandem as complements, while age and theory-of-mind operate independently. Older children respond to information about the cognitive ability of their opponent, which provides support for the emergence of a sophisticated strategic theory-of-mind. Finally, theory-of-mind and age strongly predict whether children respond to intentions in a gift-exchange game, while cognitive ability has no influence, suggesting that different psychometric measures of cognitive skill correspond to different cognitive processes in strategic situations that involve the understanding of intentions.

Suggested Citation

  • Fe, Eduardo & Gill, David, 2018. "Cognitive Skills and the Development of Strategic Sophistication," IZA Discussion Papers 11326, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp11326
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    References listed on IDEAS

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    1. Larbi Alaoui & Antonio Penta, 2016. "Endogenous Depth of Reasoning," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1297-1333.
    2. Ayala Arad & Ariel Rubinstein, 2012. "The 11-20 Money Request Game: A Level-k Reasoning Study," American Economic Review, American Economic Association, vol. 102(7), pages 3561-3573, December.
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    Cited by:

    1. Bose, Neha & Sgroi, Daniel, 2019. "The Role of Theory of Mind and “Small Talk” Communication in Strategic Decision-Making," CAGE Online Working Paper Series 409, Competitive Advantage in the Global Economy (CAGE).
    2. Brice Corgnet & Mark DeSantis & David Porter, 2020. "Information Aggregation and the Cognitive Make-up of Traders," Working Papers 20-18, Chapman University, Economic Science Institute.
    3. Nikoloz Kudashvili & Philipp Lergetporer, 2019. "Do Minorities Misrepresent Their Ethnicity to Avoid Discrimination?," CERGE-EI Working Papers wp644, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    4. Brocas, Isabelle & Carrillo, Juan D., 2020. "Introduction to special issue “Understanding Cognition and Decision Making by Children.” Studying decision-making in children: Challenges and opportunities," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 777-783.
    5. Corgnet, Brice & DeSantis, Mark & Porter, David, 2021. "Information aggregation and the cognitive make-up of market participants," European Economic Review, Elsevier, vol. 133(C).
    6. Brocas, Isabelle & Carrillo, Juan D., 2021. "Young children use commodities as an indirect medium of exchange," Games and Economic Behavior, Elsevier, vol. 125(C), pages 48-61.
    7. Oren Bar-Gill & Christoph Engel, 2020. "Property is Dummy Proof: An Experiment," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2020_02, Max Planck Institute for Research on Collective Goods.
    8. Bose, Neha & Sgroi, Daniel, 2019. "Theory of Mind and Strategic Decision-Making," The Warwick Economics Research Paper Series (TWERPS) 1191, University of Warwick, Department of Economics.

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    More about this item

    Keywords

    cognitive skills; theory-of-mind; cognitive ability; fluid intelligence; strategic sophistication; age; children; experiment; level-k; bounded rationality; non-equilibrium thinking; intentions; gift-exchange game; competitive game; strategic game; strategic interaction;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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