severe. These "beliefs counterfactuals" are new in the literature. Finally, the paper provides a Bayesian algorithm to handle …

In this paper we develop a closed economy DSGE model of Pakistan with informality both in the labor and product markets … our model performs relatively better than existing DSGE literature on emerging markets. We find good degree of evidence of …

This paper evaluates the strengths and weaknesses of dynamic stochastic general equilibrium (DSGE) models from the …

basic thrust of this paper is to evaluate monetary policy - tradeoffs using a dynamic stochastic general equilibrium(DSGE …

This paper develops an open economy dynamic stochastic general equilibrium (DSGE) model based on New-Keynesian micro …

: International Capital Asset Pricing Model (ICAPM), Mean-Variance, Minimum-Variance, Bayes-Stein, Bayesian and Multi-Prior. ICAPM … country portfolio weights are computed relative to world market capitalization. Bayesian models allow for various degrees of …

properties both from the Bayesian and non–Bayesian perspective. We provide detailed derivations of our prior in many standard …

This paper presents the R package bayesGARCH which provides functions for the Bayesian estimation of the parsimonious …

Office from legal and different illegal sources. Estimates obtained from a Bayesian approach, with a mixture of normal priors …

and have a Gaussian mixture distribution conditional on each regime. The model is estimated in a Bayesian framework using …