On Identification of Bayesian DSGE Models In recent years there has been increasing concern about the identification of parameters in dynamic stochastic general equilibrium (DSGE) models. Given the structure of DSGE models it may be difficult to determine whether a parameter is identified. For the researcher using Bayesian methods, a lack of identification may not be evident since the posterior...

In recent years there has been increasing concern about the identi…cation of parameters in dynamic stochastic general equilibrium (DSGE) models. Given the structure of DSGE models it may be di¢ cult to determine whether a parameter is identi…ed. For the researcher using Bayesian methods, a lack of identi…cation may not be evident since the posterior of a parameter of interest may di¤er from its...

This paper applies a new Bayesian framework laid out in Faust and Gupta (2009) for evaluating the suitability of dynamic stochastic general equilibrium (DSGE) models for the task of monetary policy analysis. The paper characterizes practical monetary policy analysis as determining how intended policy should be revised in light of the structural interpretation of incoming news. The news is defin...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...

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