IDEAS home Printed from https://ideas.repec.org/p/chu/wpaper/22-04.html
   My bibliography  Save this paper

https://digitalcommons.chapman.edu/esi_working_papers/365/

Author

Listed:
  • Hubert Janos Kiss

    (KRTK KTI and Corvinus University of Budapest)

  • Ismael Rodriguez-Lara

    (Department of Economics, Universidad de Granada and Economic Science Institute, Chapman University)

  • Alfonso Rosa-Garcia

    (Department of Economics, Universidad de Murcia)

Abstract

We study how lines form in front of banks. In our model, depositors choose first the level of effort to arrive early at the bank and then whether or not to withdraw their deposit. We argue that the informational environment (i.e., the possibility of observing the action of others) a ects the emergence of bank runs and should, therefore, influence the line formation. We test this prediction experimentally. While the informational environment has no e ect on the line formation when we look at the average level of e ort, our rindings suggest that the reasons to arrive early at the bank varies across informational environment. Thus, expectations on the occurrence of bank run are key to explain the level of effort when depositors cannot observe the action of others. In this setting, depositors who expect a run arrive early at the bank to withdraw their funds. If actions can be observed, however, those who expect a run arrive early at the bank to keep their funds deposited. Depending on the informational environment, there are other factors (e.g., irrationality of depositors or loss aversion) that also explain the behavior of depositors.

Suggested Citation

  • Hubert Janos Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2022. "https://digitalcommons.chapman.edu/esi_working_papers/365/," Working Papers 22-04, Chapman University, Economic Science Institute.
  • Handle: RePEc:chu:wpaper:22-04
    as

    Download full text from publisher

    File URL: https://digitalcommons.chapman.edu/esi_working_papers/362/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    bank run; beliefs; experimental economics; line formation; loss aversion; observability;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    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:chu:wpaper:22-04. 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: Megan Luetje (email available below). General contact details of provider: https://edirc.repec.org/data/esichus.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.