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The Spatial Probit Model – An Application to the Study of Banking Crises at the End of the 90’s

Author

Listed:
  • Andrea Amaral

    (ISEG, University of Lisbon)

  • Margarida Abreu

    (ISEG, University of Lisbon and UECE)

  • Victor Mendes

    (CMVM and CEFAGE-UE)

Abstract

We use a spatial Probit model to study the effect of contagion between banking systems of different countries. Applied to the late 90’s banking crisis in Asia we show that the phenomena of contagion is better seized using a spatial than a traditional Probit model. Unlike the latter, the spatial Probit model allows one to consider the cascade of cross and feedback effects of contagion that result from the outbreak of one initial crisis in one country or system. These contagion effects may result either from business connections between institutions of different countries or from institutional similarities between banking systems.

Suggested Citation

  • Andrea Amaral & Margarida Abreu & Victor Mendes, 2014. "The Spatial Probit Model – An Application to the Study of Banking Crises at the End of the 90’s," CEFAGE-UE Working Papers 2014_05, University of Evora, CEFAGE-UE (Portugal).
    • Handle: RePEc:cfe:wpcefa:2014_05
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    More about this item

    Keywords

    Spatial probit; Banking crises; Contagion.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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