This paper introduces a Bayesian MCMC method, referred to as a marginalized mixture sampler, for state space models whose disturbances follow stochastic volatility processes. The marginalized mixture sampler is based on a mixture-normal approximation of the log-2 distribution, but it is...

We propose a flexible dynamic panel stochastic frontier model with a feasible estimation strategy. The model accommodates individual heterogeneity and allows for an ARMA (p, q) specification of the model's serial correlations. Distribution assumptions are also flexible. The dynamics are...