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Capital and Labor Effects in a Recall Task: More Evidence in Support of Camerer and Hogarth (1999)

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  • Ondrej Rydval

Abstract

This paper extends existing evidence on the interaction and relative productivity of cognitive effort and cognitive capital in an experimental environment. I focus on the impact of task-specific cognitive capital, which is central to the capital-labor argument of Camerer and Hogarth (1999) as well as related research in cognitive science and behavioral decision making. Using a memory recall task situated in an accounting setting, I show that the impact of taskspecific accounting knowledge on recall performance varies with the timing of the introduction of performance-contingent financial incentives. I further illustrate that subjects better endowed with task-specific accounting knowledge greater improve recall performance in response to the introduction of performance-contingent financial incentives. I draw implications for further research of the capital-labor-production framework and for compensation practices in experiments as well as work settings.

Suggested Citation

  • Ondrej Rydval, 2005. "Capital and Labor Effects in a Recall Task: More Evidence in Support of Camerer and Hogarth (1999)," CERGE-EI Working Papers wp264, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    • Handle: RePEc:cer:papers:wp264
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    References listed on IDEAS

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    1. Bonner, Sarah E. & Sprinkle, Geoffrey B., 2002. "The effects of monetary incentives on effort and task performance: theories, evidence, and a framework for research," Accounting, Organizations and Society, Elsevier, vol. 27(4-5), pages 303-345.
    2. Roland Bénabou & Jean Tirole, 2005. "Self-Confidence and Personal Motivation," International Economic Association Series, in: Bina Agarwal & Alessandro Vercelli (ed.), Psychology, Rationality and Economic Behaviour, chapter 2, pages 19-57, Palgrave Macmillan.
    3. Rydval, Ondrej & Ortmann, Andreas, 2004. "How financial incentives and cognitive abilities affect task performance in laboratory settings: an illustration," Economics Letters, Elsevier, vol. 85(3), pages 315-320, December.
    4. Roland Bénabou & Jean Tirole, 2003. "Intrinsic and Extrinsic Motivation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(3), pages 489-520.
    5. Erik Plug & Wim Vijverberg, 2003. "Schooling, Family Background, and Adoption: Is It Nature or Is It Nurture?," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 611-641, June.
    6. Libby, Robert & Luft, Joan, 1993. "Determinants of judgment performance in accounting settings: Ability, knowledge, motivation, and environment," Accounting, Organizations and Society, Elsevier, vol. 18(5), pages 425-450, July.
    7. Ignacio Palacios-Huerta, 2003. "Learning to Open Monty Hall's Doors," Experimental Economics, Springer;Economic Science Association, vol. 6(3), pages 235-251, November.
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    More about this item

    Keywords

    Financial incentives; Cognitive abilities; Experiments; Field experiments.;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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