IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2409.19853.html

Mechanism Design with Endogenous Perception

Author

Listed:
  • Benjamin Balzer
  • Benjamin Young

Abstract

We model endogenous perception of private information in single-agent screening problems, with potential evaluation errors. The agent's evaluation of their type depends on their cognitive state: either attentive (i.e., they correctly perceive their type) or inattentive (i.e., they might misperceive their type). The mechanism's incentives structure determines the agent's cognitive state via costly investment in cognition. We derive a general representation of attention incentives, show how they vary with the mechanism's allocation rule, and define a notion of accuracy of perception. In applications we showcase how perception both shapes and is shaped by the design of mechanisms.

Suggested Citation

  • Benjamin Balzer & Benjamin Young, 2024. "Mechanism Design with Endogenous Perception," Papers 2409.19853, arXiv.org, revised Mar 2025.
  • Handle: RePEc:arx:papers:2409.19853
    as

    Download full text from publisher

    File URL: https://arxiv.org/pdf/2409.19853
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Benjamin Enke, 2020. "What You See Is All There Is," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(3), pages 1363-1398.
    2. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    3. Alex Gershkov & Benny Moldovanu & Philipp Strack & Mengxi Zhang, 2022. "Optimal Auctions: Non-expected Utility and Constant Risk Aversion," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(5), pages 2630-2662.
    4. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    5. Dirk Bergemann & Benjamin Brooks & Stephen Morris, 2017. "First‐Price Auctions With General Information Structures: Implications for Bidding and Revenue," Econometrica, Econometric Society, vol. 85, pages 107-143, January.
    6. Carbajal, Juan Carlos & Ely, Jeffrey C., 2016. "A model of price discrimination under loss aversion and state-contingent reference points," Theoretical Economics, Econometric Society, vol. 11(2), May.
    7. Balzer, Benjamin & Rosato, Antonio & von Wangenheim, Jonas, 2022. "Dutch vs. first-price auctions with expectations-based loss-averse bidders," Journal of Economic Theory, Elsevier, vol. 205(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. López-Pérez, Raúl & Pintér, Ágnes & Sánchez-Mangas, Rocío, 2022. "Some conditions (not) affecting selection neglect: Evidence from the lab," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 140-157.
    2. Flores-Szwagrzak, Karol, 2022. "Learning by Convex Combination," Working Papers 16-2022, Copenhagen Business School, Department of Economics.
    3. Barron, Kai & Gravert, Christina, 2022. "Confidence and career choices: an experiment," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 124(1), pages 35-68.
    4. Taylor, Matthew P. & Wozniak, David, 2018. "Gender differences in asset information acquisition," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 19-29.
    5. Meisner, Vincent & von Wangenheim, Jonas, 2019. "School Choice and Loss Aversion," Rationality and Competition Discussion Paper Series 208, CRC TRR 190 Rationality and Competition.
    6. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    7. Daniele Giachini & Shabnam Mousavi & Matteo Ottaviani, 2025. "From zero-intelligence to Bayesian learning: the effect of rationality on market efficiency," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 20(3), pages 659-676, July.
    8. Shr, Yau-Huo (Jimmy) & Zhang, Wendong, 2024. "Omitted downstream attributes and the benefits of nutrient reductions: Implications for choice experiments," Ecological Economics, Elsevier, vol. 222(C).
    9. Ifcher, John & Zarghamee, Homa, 2020. "Competitive Preferences among Asians in the U.S," IZA Discussion Papers 13913, IZA Network @ LISER.
    10. Gu, Chen & Guo, Xu & Zhang, Chengping, 2022. "Analyst target price revisions and institutional herding," International Review of Financial Analysis, Elsevier, vol. 82(C).
    11. Schnitzlein, Charles & Chelley-Steeley, Patricia & Steeley, James M, 2024. "Conflicting versus reinforcing private information, information aggregation, and the time series properties of asset prices," Journal of Banking & Finance, Elsevier, vol. 169(C).
    12. Bobba, Matteo & Frisancho, Veronica, 2022. "Self-perceptions about academic achievement: Evidence from Mexico City," Journal of Econometrics, Elsevier, vol. 231(1), pages 58-73.
    13. Becchetti, Leonardo & Degli Antoni, Giacomo & Ottone, Stefania & Solferino, Nazaria, 2013. "Allocation criteria under task performance: The gendered preference for protection," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 45(C), pages 96-111.
    14. Galliera, Arianna, 2018. "Self-selecting random or cumulative pay? A bargaining experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 72(C), pages 106-120.
    15. Bottazzi, Laura & Lusardi, Annamaria, 2021. "Stereotypes in financial literacy: Evidence from PISA," Journal of Corporate Finance, Elsevier, vol. 71(C).
    16. Lou, Hanlin & Page, Lionel & Xu, Hui, 2025. "Small ponds are best to motivate performance with relative feedback," Journal of Economic Behavior & Organization, Elsevier, vol. 240(C).
    17. Bjorvatn, Kjetil & Falch, Ranveig & Hernæs, Ulrikke, 2016. "Gender, context and competition: Experimental evidence from rural and urban Uganda," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 61(C), pages 31-37.
    18. Liu, Hong & Qi, Lina & Li, Zaili, 2019. "Insider trading, representativeness heuristic insider, and market regulation," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 48-64.
    19. Maciel, Leandro S. & Kayo, Eduardo K., 2026. "When climate extremes shake equity markets: Evidence from multifractal analysis," Finance Research Letters, Elsevier, vol. 87(C).
    20. Taisuke Otsu & Martin Pesendorfer & Yuya Sasaki & Yuya Takahashi, 2022. "Estimation Of (Static Or Dynamic) Games Under Equilibrium Multiplicity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1165-1188, August.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2409.19853. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: https://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.