IDEAS home Printed from https://ideas.repec.org/a/oup/econjl/v130y2020i632p2468-2496..html
   My bibliography  Save this article

Honesty and Self-Selection into Cheap Talk

Author

Listed:
  • Sebastian Fehrler
  • Urs Fischbacher
  • Maik T Schneider

Abstract

In many situations, people can lie strategically, for their own benefit. Since individuals differ with respect to their willingness to lie, the credibility of statements will crucially depend on who self-selects into such cheap-talk situations. We study this process in a two-stage political competition setting. At the entry stage, potential candidates compete in a contest to become their party’s candidate in an election. At the election stage, the nominated candidates campaign by making promises to voters. Confirming the model’s key prediction, we find in our experiment that dishonest people over-proportionally self-select into the political race and thereby lower voters’ welfare.

Suggested Citation

  • Sebastian Fehrler & Urs Fischbacher & Maik T Schneider, 2020. "Honesty and Self-Selection into Cheap Talk," The Economic Journal, Royal Economic Society, vol. 130(632), pages 2468-2496.
  • Handle: RePEc:oup:econjl:v:130:y:2020:i:632:p:2468-2496.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ej/ueaa028
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lang, Matthias & Schudy, Simeon, 2023. "(Dis)honesty and the value of transparency for campaign promises," European Economic Review, Elsevier, vol. 159(C).
    2. Leib, Margarita & Köbis, Nils & Rilke, Rainer Michael & Hagens, Marloes & Irlenbusch, Bernd, 2023. "Corrupted by Algorithms? How AI-Generated and Human-Written Advice Shape (Dis)Honesty," IZA Discussion Papers 16293, Institute of Labor Economics (IZA).
    3. Rilke, Rainer Michael & Danilov, Anastasia & Weisel, Ori & Shalvi, Shaul & Irlenbusch, Bernd, 2021. "When leading by example leads to less corrupt collaboration," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 288-306.
    4. Mourelatos, Evangelos & Krimpas, George & Giotopoulos, Konstantinos, 2022. "Sexual identity and Gender Gap in Leadership. A political intention experiment," GLO Discussion Paper Series 1187, Global Labor Organization (GLO).

    More about this item

    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:oup:econjl:v:130:y:2020:i:632:p:2468-2496.. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

    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.