Bayesian Estimation of DSGE Models (The Econometric and Tinbergen Institutes Lectures)
by Edward P. Herbst, Frank Schorfheide
This volume from the Econometric and Tinbergen Institutes Lectures by Edward P. Herbst and Frank Schorfheide delves into Bayesian estimation techniques for DSGE models. It provides essential guidance on applying these methods to macroeconomic analysis, covering model building, inference, and evaluation in an econometric context. Ideal for economists seeking to enhance their quantitative toolkit.
About This Book
Bayesian Estimation of DSGE Models offers a comprehensive exploration of estimation techniques for dynamic stochastic general equilibrium models within an econometric framework. Authored by Edward P. Herbst and Frank Schorfheide, it stems from lectures delivered at the Econometric and Tinbergen Institutes.
The text focuses on the application of Bayesian methods to estimate and evaluate DSGE models, which are widely used in macroeconomic analysis. It covers foundational concepts and practical implementation strategies for researchers and practitioners in economics.
Readers will find discussions on model specification, prior selection, and posterior inference, emphasizing the advantages of Bayesian approaches in handling complex economic models. The book serves as a valuable resource for advancing econometric practices in macroeconomics.
With its lecture-based structure, the content is designed to be accessible yet rigorous, bridging theoretical insights with computational tools essential for modern economic modeling.
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