can be handled easily in Bayesian inference. A new Markov Chain Monte Carlo algorithm is introduced and proves to work …

parameters and analysis of cointegration. We amalgamate the Bayesian methods of Kleibergen and Paap (2002) for analysis of … cointegration in the ECM, and the Bayesian methods of Waggoner and Zha (2003) for estimating the structural parameters in BSVAR into …

Under a Bayesian framework of model uncertainty, closed economy models of monetary policy typically suggest that policy …, qualitatively the models recommend standard results: policy attenuation if the policymaker maintains a Bayesian view of uncertainty …

we use the Bayesian penalized approach to stochastic frontiers developed in Hajargasht et al. (2003). Finally we …

A general Bayesian Markov Chain Monte Carlo methodology is utilized for conducting an analysis of the intensity process …

approximated by a bootstrap procedure. The asymptotic validity of bootstrap is shown and performance of the testing procedure is …

. One can use the bootstrap distribution of the score test statistic to obtain a critical value. This can give already … value. Since the score test statistic is asymptotically pivotal, the bootstrap critical value is second-order correct … matrix used in the quadratic form. In this paper we propose a bootstrap-based method to obtain both a second-order correct …