Bayesian Estimation of DSGE Models

Language: English

Published by Princeton University Press, US, 2015

0691161089 / 9780691161082

Series: Book 4 of 6 - The Econometric and Tinbergen Institutes Lectures

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Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks. This book introduces readers to state-of-the-art computational techniques used in the Bayesian analysis of DSGE models. The book covers Markov chain Monte Carlo techniques for linearized DSGE models, novel sequential Monte Carlo methods that can be used for parameter inference, and the estimation of nonlinear DSGE models based on particle filter approximations of the likelihood function. The theoretical foundations of the algorithms are discussed in depth, and detailed empirical applications and numerical illustrations are provided. The book also gives invaluable advice on how to tailor these algorithms to specific applications and assess the accuracy and reliability of the computations. Bayesian Estimation of DSGE Models is essential reading for graduate students, academic researchers, and practitioners at policy institutions.

Seller Inventory # LU-9780691161082

Title
Bayesian Estimation of DSGE Models
Author
Edward P. Herbst, Frank Schorfheide
Publisher
Princeton University Press, US
Publication year
2015
Condition
New
Binding
Hardback
Language
English
ISBN 10
0691161089
ISBN 13
9780691161082
Item weight
454 grams
Series
Book 4 of 6: The Econometric and Tinbergen Institutes Lectures

Rarewaves.com USA

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