IDEAS home Printed from https://ideas.repec.org/p/ivi/wpasad/2011-05.html
   My bibliography  Save this paper

On the effects of deposit insurance and observability on bank runs: an experimental study

Author

Listed:
  • Alfonso Rosa García

    (Universidad de Murcia)

  • Hubert Janos Kiss

    (Universidad Autónoma de Madrid)

  • Ismael Rodríguez Lara

    (Universidad de Alicante)

Abstract

We study the effects of deposit insurance and observability of previous actions on the emergence of bank runs by means of a controlled laboratory experiment. We consider three depositors in the line of a bank, who decide between withdrawing or keeping their money deposited. We have three treatments with different levels of deposit insurance which reflect the losses a depositor may incur in the case of a bank run. We find that different levels of deposit insurance and the possibility of observing other depositors’ actions affect the likelihood of bank runs. When decisions are not observable, higher levels of deposit insurance decrease the probability of bank runs. When decisions are observable, this is not the case. These results suggest that (i) observability might be considered as a partial substitute of deposit insurance, and that (ii) the optimal deposit insurance should take into account the degree of observability.

Suggested Citation

  • Alfonso Rosa García & Hubert Janos Kiss & Ismael Rodríguez Lara, 2011. "On the effects of deposit insurance and observability on bank runs: an experimental study," Working Papers. Serie AD 2011-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  • Handle: RePEc:ivi:wpasad:2011-05
    as

    Download full text from publisher

    File URL: http://www.ivie.es/downloads/docs/wpasad/wpasad-2011-05.pdf
    File Function: Fisrt version / Primera version, 2011
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Green, Edward J. & Lin, Ping, 2003. "Implementing efficient allocations in a model of financial intermediation," Journal of Economic Theory, Elsevier, vol. 109(1), pages 1-23, March.
    2. Rajkamal Iyer & Manju Puri, 2012. "Understanding Bank Runs: The Importance of Depositor-Bank Relationships and Networks," American Economic Review, American Economic Association, vol. 102(4), pages 1414-1445, June.
    3. Maliar, Serguei & Maliar, Lilia & Judd, Kenneth, 2011. "Solving the multi-country real business cycle model using ergodic set methods," Journal of Economic Dynamics and Control, Elsevier, vol. 35(2), pages 207-228, February.
    4. Alfonso Rosa García & Hubert Janos Kiss & Ismael Rodríguez Lara, 2009. "Do social networks prevent bank runs?," Working Papers. Serie AD 2009-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    5. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 24(Win), pages 14-23.
    6. Gorton, Gary, 1988. "Banking Panics and Business Cycles," Oxford Economic Papers, Oxford University Press, vol. 40(4), pages 751-781, December.
    7. Demirguc-Kunt, Asli & Detragiache, Enrica, 2002. "Does deposit insurance increase banking system stability? An empirical investigation," Journal of Monetary Economics, Elsevier, vol. 49(7), pages 1373-1406, October.
    8. Devenow, Andrea & Welch, Ivo, 1996. "Rational herding in financial economics," European Economic Review, Elsevier, vol. 40(3-5), pages 603-615, April.
    9. Asl? Demirgüç-Kunt & Edward J. Kane & Luc Laeven (ed.), 2008. "Deposit Insurance around the World: Issues of Design and Implementation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262042541, February.
    10. Gul, Faruk & Lundholm, Russell, 1995. "Endogenous Timing and the Clustering of Agents' Decisions," Journal of Political Economy, University of Chicago Press, vol. 103(5), pages 1039-1066, October.
    11. Gu, Chao, 2011. "Herding and bank runs," Journal of Economic Theory, Elsevier, vol. 146(1), pages 163-188, January.
    12. Cormac O Grada & Morgan Kelly, 2000. "Market Contagion: Evidence from the Panics of 1854 and 1857," American Economic Review, American Economic Association, vol. 90(5), pages 1110-1124, December.
    13. Garratt, Rod & Keister, Todd, 2009. "Bank runs as coordination failures: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 300-317, August.
    14. Martha A. Starr & Rasim Yilmaz, 2007. "Bank Runs in Emerging-Market Economies: Evidence from Turkey's Special Finance Houses," Southern Economic Journal, John Wiley & Sons, vol. 73(4), pages 1112-1132, April.
    15. Wicker,Elmus, 2001. "The Banking Panics of the Great Depression," Cambridge Books, Cambridge University Press, number 9780521663465.
    16. Charles W. Calomiris & Joseph R. Mason, 2003. "Fundamentals, Panics, and Bank Distress During the Depression," American Economic Review, American Economic Association, vol. 93(5), pages 1615-1647, December.
    17. Schotter, Andrew & Yorulmazer, Tanju, 2009. "On the dynamics and severity of bank runs: An experimental study," Journal of Financial Intermediation, Elsevier, vol. 18(2), pages 217-241, April.
    18. Demirguc-Kunt, Asli & Huizinga, Harry, 2004. "Market discipline and deposit insurance," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 375-399, March.
    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. Kiss, Hubert Janos & Rodriguez-Lara, Ismael & Rosa-García, Alfonso, 2014. "Do social networks prevent or promote bank runs?," Journal of Economic Behavior & Organization, Elsevier, vol. 101(C), pages 87-99.
    2. Kinateder, Markus & Kiss, Hubert János, 2014. "Sequential decisions in the Diamond–Dybvig banking model," Journal of Financial Stability, Elsevier, vol. 15(C), pages 149-160.
    3. Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2021. "Experimental Bank Runs," ThE Papers 21/03, Department of Economic Theory and Economic History of the University of Granada..
    4. Alfonso Rosa García & Hubert Janos Kiss & Ismael Rodríguez Lara, 2009. "Do social networks prevent bank runs?," Working Papers. Serie AD 2009-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    5. Kiss, Hubert J. & Rodriguez-Lara, Ismael & Rosa-Garcia, Alfonso, 2022. "Preventing (panic) bank runs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    6. Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2022. "Preventing (Panic) Bank Runs," CERS-IE WORKING PAPERS 2213, Institute of Economics, Centre for Economic and Regional Studies.
    7. Shakina, Ekaterina & Angerer, Martin, 2018. "Coordination and communication during bank runs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 115-130.
    8. Markus Kinateder & Hubert Janos Kiss & Agnes Pinter, 2015. "Would depositors like to show others that they do not withdraw? Theory and Experiment," CERS-IE WORKING PAPERS 1553, Institute of Economics, Centre for Economic and Regional Studies.
    9. Kiss, Hubert J. & Rodriguez-Lara, Ismael & Rosa-Garcia, Alfonso, 2014. "Do women panic more than men? An experimental study of financial decisions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 52(C), pages 40-51.
    10. Martin Dufwenberg, 2014. "Banking on Experiments?," Working Papers 534, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    11. Kiss, Hubert János & Rodriguez-Lara, Ismael & Rosa-Garcia, Alfonso, 2022. "Who withdraws first? Line formation during bank runs," Journal of Banking & Finance, Elsevier, vol. 140(C).
    12. Gergely Horváth & Hubert János Kiss, 2016. "Correlated Observations, the Law of Small Numbers and Bank Runs," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-29, April.
    13. Atmaca, Sümeyra & Schoors, Koen & Verschelde, Marijn, 2020. "Bank loyalty, social networks and crisis," Journal of Banking & Finance, Elsevier, vol. 112(C).
    14. Kiss, H.J. & Rodriguez-Lara, I. & Rosa-García, A., 2016. "Think twice before running! Bank runs and cognitive abilities," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 12-19.
    15. Markus Kinateder & Hubert János Kiss & Ágnes Pintér, 2020. "Would depositors pay to show that they do not withdraw? Theory and experiment," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 873-894, September.
    16. Dávid Csercsik & Hubert János Kiss, 2018. "Optimal Payments to Connected Depositors in Turbulent Times: A Markov Chain Approach," Complexity, Hindawi, vol. 2018, pages 1-14, April.
    17. Kiss, Hubert János & Rodriguez-Lara, Ismael & Rosa-García, Alfonso, 2015. "Kognitív képességek és stratégiai bizonytalanság egy bankrohamkísérletben [Cognitive abilities and strategic uncertainty in a bank-run experiment]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1030-1047.
    18. Kiss, Hubert J. & Rodriguez-Lara, Ismael & Rosa-Garcia, Alfonso, 2018. "Panic bank runs," Economics Letters, Elsevier, vol. 162(C), pages 146-149.
      • Hubert Janos Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2017. "Panic bank runs," CERS-IE WORKING PAPERS 1710, Institute of Economics, Centre for Economic and Regional Studies.
    19. Hubert János Kiss, 2018. "Depositors’ Behaviour in Times of Mass Deposit Withdrawals," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 17(4), pages 95-111.
    20. Xavier Vives, 2014. "Strategic Complementarity, Fragility, and Regulation," Review of Financial Studies, Society for Financial Studies, vol. 27(12), pages 3547-3592.

    More about this item

    Keywords

    deposit insurance; observability; bank runs; experimental economics;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

    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:ivi:wpasad:2011-05. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/ievages.html .

    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: Departamento de Edición (email available below). General contact details of provider: https://edirc.repec.org/data/ievages.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.