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Determining the causes of bank runs in Argentina during the crisis of 2001

Author

Listed:
  • George McCandless

    (Central Bank of Argentina)

  • Maria Florencia Gabrielli

    (Central Bank of Argentina)

  • María Josefina Rouillet

    (Central Bank of Argentina)

Abstract

We use monthly panel data information on Argentine banks to try to explain the variation in deposits during the 2001 crisis. The variables used are related to the solvency condition of the bank, whether it is public or private, interest rates for each bank and macroeconomic variables referred to general economic conditions. We use our empirical results to attempt to determine whether the bank run is best explained by a self-fulfilling prophecy theory or if fundamentals matter. We find that bank fundamentals show statistically significant coefficients, and with expected sign, providing evidence in favor of the solvency theory.

Suggested Citation

  • George McCandless & Maria Florencia Gabrielli & María Josefina Rouillet, 2003. "Determining the causes of bank runs in Argentina during the crisis of 2001," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 18(1), pages 87-102, June.
    • Handle: RePEc:ila:anaeco:v:18:y:2003:i:1:p:87-102
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    References listed on IDEAS

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    1. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    2. 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.
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    5. Bond, Stephen & Bowsher, Clive & Windmeijer, Frank, 2001. "Criterion-based inference for GMM in autoregressive panel data models," Economics Letters, Elsevier, vol. 73(3), pages 379-388, December.
    6. Gorton, Gary, 1985. "Bank suspension of convertibility," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 177-193, March.
    7. Boozer, Michael A., 1997. "Econometric Analysis of Panel DataBadi H. Baltagi Wiley, 1995," Econometric Theory, Cambridge University Press, vol. 13(5), pages 747-754, October.
    8. Xavier Freixas & Jean-Charles Rochet, 1997. "Microeconomics of Banking," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061937, December.
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    Citations

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    Cited by:

    1. Gustavo Adler & Mr. Eugenio M Cerutti, 2015. "Are Foreign Banks a 'Safe Haven'? Evidence from Past Banking Crises," IMF Working Papers 2015/043, International Monetary Fund.
    2. Xuefang Liu & W. Robert J. Alexander & Sajid Anwar, 2018. "Bank Runs in China: Evidence from a Dynamic Panel Model," Arthaniti: Journal of Economic Theory and Practice, , vol. 17(1), pages 15-30, June.
    3. Eduardo Levy-Yeyati & Marõa Soledad Martõnez Perõa & Sergio L. Schmukler, 2010. "Depositor Behavior under Macroeconomic Risk: Evidence from Bank Runs in Emerging Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 585-614, June.
    4. Brei, Michael & Schclarek, Alfredo, 2013. "Public bank lending in times of crisis," Journal of Financial Stability, Elsevier, vol. 9(4), pages 820-830.
    5. Paolo Manasse & Roberto Savona & Marika Vezzoli, 2016. "Danger Zones for Banking Crises in Emerging Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 360-381, October.
    6. Virginia Goday & Bertrand Gruss & Jorge Ponce, 2005. "Depositors’ Discipline in Uruguayan Banks," Documentos de trabajo 2005003, Banco Central del Uruguay.
    7. Dijk, Oege, 2017. "Bank run psychology," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 87-96.
    8. Karlo Kauko, 2016. "Does Opaqueness Make Equity Capital Expensive for Banks?," Revista de Economía del Rosario, Universidad del Rosario, vol. 17(2), pages 203-227, February.

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    More about this item

    Keywords

    Corridas bancarias; datos de panel; fundamentals; variables macro; teoría de solvencia;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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