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Multivariate Dynamic Probit Models: An Application to Financial Crises Mutation
Elena-Ivona Dumitrescu 1, Bertrand Candelon 2, Christophe Hurlin 1, Franz C. Palm 3
(28/06/2012)

In this paper we propose a multivariate dynamic probit model. Our model can be considered as a non-linear VAR model for the latent variables associated with correlated binary time-series data. To estimate it, we implement an exact maximum-likelihood approach, hence providing a solution to the problem generally encountered in the formulation of multivariate probit models. Our framework allows us to apprehend dynamics and causality in several ways. Furthermore, we propose an impulse-response analysis for such models. An empirical application on three nancial crises is nally proposed.
1 :  Laboratoire d'économie d'Orleans (LEO)
CNRS : UMR6221 – Université d'Orléans
2 :  Economics
Maastricht University
3 :  Maastricht University
univ. Maastricht
Sciences de l'Homme et Société/Economies et finances
Non-linear VAR – Multivariate dynamic probit models – Exact maximum likelihood – Impulse-response function – Financial crises
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