By Edward P. Herbst,Frank Schorfheide
Dynamic stochastic common equilibrium (DSGE) versions became one of many workhorses of contemporary macroeconomics and are widely used for tutorial study in addition to forecasting and coverage research at vital banks. This publication introduces readers to cutting-edge computational thoughts utilized in the Bayesian research of DSGE versions. The ebook covers Markov chain Monte Carlo concepts for linearized DSGE types, novel sequential Monte Carlo tools that may be used for parameter inference, and the estimation of nonlinear DSGE types in line with particle clear out approximations of the possibility functionality. The theoretical foundations of the algorithms are mentioned intensive, and designated empirical functions and numerical illustrations are supplied. The publication additionally offers beneficial suggestion on how one can tailor those algorithms to express purposes and determine the accuracy and reliability of the computations.
Bayesian Estimation of DSGE Models is key examining for graduate scholars, educational researchers, and practitioners at coverage institutions.
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Bayesian Estimation of DSGE Models (The Econometric and Tinbergen Institutes Lectures) by Edward P. Herbst,Frank Schorfheide