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Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less. N° de ref. del artículo G0691161089I2N00
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.
Acerca del autor: Edward P. Herbst is an economist in the Division of Research and Statistics at the Federal Reserve Board. Frank Schorfheide is Professor of Economics at the University of Pennsylvania and research associate at the National Bureau of Economic Research. He also is a fellow of the Penn Institute for Economic Research, a visiting scholar at the Federal Reserve Banks of Philadelphia and New York, and a coeditor of Quantitative Economics. For more, see edherbst.net and sites.sas.upenn.edu/schorf.
Título: Bayesian Estimation of Dsge Models
Editorial: Princeton University Press
Año de publicación: 2015
Encuadernación: Hardcover
Condición: As New
Condición de la sobrecubierta: No Jacket
Librería: Stirling Books, Stirling, Reino Unido
Hardcover. Condición: Very Good. Estado de la sobrecubierta: Good. 1st Edition. Hardback: Very Good Condition. Dust Jacket: Good Condition. Pages Bright, Clean And Unmarked. Binding Tight And Secure. Clean Covers, Minimal Wear. Spine Creased At Top And Tail, Board Corners Bumped. Photograph Is Added By Selling Site And Not Ours, Therefore May Not Reflect This Edition Or Condition. Please Contact Us For Pictures If Desired. Nº de ref. del artículo: 049254
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Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
Hardcover. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G0691161089I3N00
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Librería: Rarewaves.com UK, London, Reino Unido
Hardback. Condición: New. 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. Nº de ref. del artículo: LU-9780691161082
Cantidad disponible: 3 disponibles