This paper examines the intensity of financial crises during the 1990s with a view to informing crisis prevention and mitigation policies. We compare the performance of a full Bayesian and an information-theoretic approach in addressing the econometric problems posed by the lack of a unifying...

We estimate a stochastic frontier model with random inefficiency parameters, which allows us not only to identify the role of bank risk-taking on driving cost and profit inefficiency, but also to recognize heterogeneous effects of risk exposure on banks with different characteristics. We account...

A hierarchical Bayesian model for spatial panel data is proposed. The idea behind the proposed method is to analyze spatially dependent panel data by means of a separable covariance matrix. Let us indicate the observations as yit, i = 1,...,N regions and t = 1,...,T time, var(y), the covariance...