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A Surprise-Quiz View of Learning in Economic Experiments

Author

Listed:
  • Merlo, A.
  • Schotter, A.
Abstract
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Suggested Citation

  • Merlo, A. & Schotter, A., 1995. "A Surprise-Quiz View of Learning in Economic Experiments," Working Papers 95-32, C.V. Starr Center for Applied Economics, New York University.
    • Handle: RePEc:cvs:starer:95-32
    as

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    References listed on IDEAS

    as
    1. Lazear, Edward P & Rosen, Sherwin, 1981. "Rank-Order Tournaments as Optimum Labor Contracts," Journal of Political Economy, University of Chicago Press, vol. 89(5), pages 841-864, October.
    2. Milgrom, Paul & Roberts, John, 1991. "Adaptive and sophisticated learning in normal form games," Games and Economic Behavior, Elsevier, vol. 3(1), pages 82-100, February.
    3. Mookherjee Dilip & Sopher Barry, 1994. "Learning Behavior in an Experimental Matching Pennies Game," Games and Economic Behavior, Elsevier, vol. 7(1), pages 62-91, July.
    4. Andrew Schotter & Keith Weigelt, 1992. "Asymmetric Tournaments, Equal Opportunity Laws, and Affirmative Action: Some Experimental Results," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 511-539.
    5. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    6. Merlo, Antonio & Schotter, Andrew, 1994. "An Experimental Study of Learning in One and Two-Person Games," Working Papers 94-17, C.V. Starr Center for Applied Economics, New York University.
    7. Bull, Clive & Schotter, Andrew & Weigelt, Keith, 1987. "Tournaments and Piece Rates: An Experimental Study," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 1-33, February.
    8. Merlo, Antonio & Schotter, Andrew, 1999. "A Surprise-Quiz View of Learning in Economic Experiments," Games and Economic Behavior, Elsevier, vol. 28(1), pages 25-54, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Andreas Nicklisch, 2006. "Perceiving strategic environments: An experimental study of learning under minimal information," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2006_17, Max Planck Institute for Research on Collective Goods.
    2. Trautmann, Stefan T. & Zeckhauser, Richard J., 2013. "Shunning uncertainty: The neglect of learning opportunities," Games and Economic Behavior, Elsevier, vol. 79(C), pages 44-55.
    3. Simonsohn, Uri & Karlsson, Niklas & Loewenstein, George & Ariely, Dan, 2008. "The tree of experience in the forest of information: Overweighing experienced relative to observed information," Games and Economic Behavior, Elsevier, vol. 62(1), pages 263-286, January.
    4. Price, Curtis R. & Sheremeta, Roman M., 2011. "Endowment effects in contests," Economics Letters, Elsevier, vol. 111(3), pages 217-219, June.
    5. Cardinaels, Eddy & Maas, Victor & Kramer, Stephan, 2024. "Navigating through the noise: The effect of color-coded performance feedback on decision making," Other publications TiSEM a7dcee4e-fb2d-4b62-bf44-c, Tilburg University, School of Economics and Management.
    6. Florian Ederer & Gustavo Manso, 2013. "Is Pay for Performance Detrimental to Innovation?," Management Science, INFORMS, vol. 59(7), pages 1496-1513, July.
    7. repec:ebl:ecbull:v:3:y:2006:i:26:p:1-16 is not listed on IDEAS
    8. Rick, Scott & Weber, Roberto A., 2010. "Meaningful learning and transfer of learning in games played repeatedly without feedback," Games and Economic Behavior, Elsevier, vol. 68(2), pages 716-730, March.
    9. Merlo, Antonio & Schotter, Andrew, 2003. "Learning by not doing: an experimental investigation of observational learning," Games and Economic Behavior, Elsevier, vol. 42(1), pages 116-136, January.
    10. Andrew Schotter, 2005. "Decision Making with Naïve Advice," Springer Books, in: Amnon Rapoport & Rami Zwick (ed.), Experimental Business Research, chapter 0, pages 223-248, Springer.
    11. Ambrosino, Angela, 2009. "Institutions as game theory outcomes: toward a cognitive-experimental inquiry," MPRA Paper 42752, University Library of Munich, Germany, revised 2013.
    12. Boğaçhan Çelen & Erkut Özbay, 2012. "Introduction to a festschrift for Andrew Schotter," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 89-91, September.
    13. Merlo, Antonio & Schotter, Andrew, 1999. "A Surprise-Quiz View of Learning in Economic Experiments," Games and Economic Behavior, Elsevier, vol. 28(1), pages 25-54, July.
    14. Cooper, David J. & Kagel, John H., 2016. "A failure to communicate: an experimental investigation of the effects of advice on strategic play," European Economic Review, Elsevier, vol. 82(C), pages 24-45.
    15. Jinkwon Lee, 2007. "Repetition And Financial Incentives In Economics Experiments," Journal of Economic Surveys, Wiley Blackwell, vol. 21(3), pages 628-681, July.
    16. Angela Ambrosino & Magda Fontana & Anna Azzurra Gigante, 2018. "Shifting Boundaries In Economics: The Institutional Cognitive Strand And The Future Of Institutional Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 767-791, July.
    17. Basov, S., 2001. "A Noisy Model of Individual Behaviour," Department of Economics - Working Papers Series 791, The University of Melbourne.
    18. So, Tony & Brown, Paul & Chaudhuri, Ananish & Ryvkin, Dmitry & Cameron, Linda, 2017. "Piece-rates and tournaments: Implications for learning in a cognitively challenging task," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 11-23.
    19. Marina Agranov & Alberto Bisin & Andrew Schotter, 2014. "An experimental study of the impact of competition for Other People’s Money: the portfolio manager market," Experimental Economics, Springer;Economic Science Association, vol. 17(4), pages 564-585, December.

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    More about this item

    Keywords

    Education; training; time series; experimentation;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • I20 - Health, Education, and Welfare - - Education - - - General

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