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Complex Questionnaires

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  • Jacob Glazer
  • Ariel Rubinstein

Abstract

We study a principal-agent model in which the agent is boundedly rational in his ability to understand the principal’s decision rule. The principal wishes to elicit an agent’s true profile in order to determine whether or not to grant him a certain request. The principal designs a questionnaire and commits himself to accepting certain responses. In designing such a questionnaire, the principal takes into account the bounded rationality of the agent and wishes to reduce the success probability of a dishonest agent who is trying to game the system. It is shown that the principal can construct a sufficiently complex questionnaire that will allow him to respond optimally to agents who tell the truth and at the same time to almost eliminate the probability that a dishonest agent will succeed in cheating.
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Suggested Citation

  • Jacob Glazer & Ariel Rubinstein, 2013. "Complex Questionnaires," Levine's Working Paper Archive 786969000000000644, David K. Levine.
    • Handle: RePEc:cla:levarc:786969000000000644
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    References listed on IDEAS

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    1. ,, 2011. "Manipulative auction design," Theoretical Economics, Econometric Society, vol. 6(2), May.
    2. Geoffroy de Clippel, 2014. "Behavioral Implementation," American Economic Review, American Economic Association, vol. 104(10), pages 2975-3002, October.
    3. Michele Piccione & Ariel Rubinstein, 2003. "Modeling the Economic Interaction of Agents With Diverse Abilities to Recognize Equilibrium Patterns," Journal of the European Economic Association, MIT Press, vol. 1(1), pages 212-223, March.
    4. Kfir Eliaz, 2002. "Fault Tolerant Implementation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(3), pages 589-610.
    5. Rubinstein, Ariel, 1993. "On Price Recognition and Computational Complexity in a Monopolistic Model," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 473-484, June.
    6. Cabrales, Antonio & Serrano, Roberto, 2011. "Implementation in adaptive better-response dynamics: Towards a general theory of bounded rationality in mechanisms," Games and Economic Behavior, Elsevier, vol. 73(2), pages 360-374.
    7. Glazer, Jacob & Rubinstein, Ariel, 1998. "Motives and Implementation: On the Design of Mechanisms to Elicit Opinions," Journal of Economic Theory, Elsevier, vol. 79(2), pages 157-173, April.
    8. Jacob Glazer & Ariel Rubinstein, 2012. "A Model of Persuasion with Boundedly Rational Agents," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1057-1082.
    9. Ville Korpela, 2012. "Implementation without rationality assumptions," Theory and Decision, Springer, vol. 72(2), pages 189-203, February.
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    Cited by:

    1. Eliaz, Kfir & Spiegler, Ran & Thysen, Heidi C., 2021. "Strategic interpretations," Journal of Economic Theory, Elsevier, vol. 192(C).
    2. Eliaz, Kfir & Spiegler, Ran & Thysen, Heidi C., 2021. "Persuasion with endogenous misspecified beliefs," European Economic Review, Elsevier, vol. 134(C).
    3. Lee, Jihong & Sabourian, Hamid, 2015. "Complexity and repeated implementation," Journal of Economic Theory, Elsevier, vol. 158(PA), pages 259-292.
    4. Ville Korpela, 2017. "All Deceptions Are Not Alike: Bayesian Mechanism Design with a Social Norm against Lying," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 173(2), pages 376-393, June.

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