Bayesian Dynamic Factor Analysis Of A Simple Monetary Dsge Model
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Bayesian Dynamic Factor Analysis Of A Simple Monetary Dsge Model
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Author : Mr.Maxym Kryshko
language : en
Publisher: International Monetary Fund
Release Date : 2011-09-01
Bayesian Dynamic Factor Analysis Of A Simple Monetary Dsge Model written by Mr.Maxym Kryshko and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-01 with Business & Economics categories.
When estimating DSGE models, the number of observable economic variables is usually kept small, and it is conveniently assumed that DSGE model variables are perfectly measured by a single data series. Building upon Boivin and Giannoni (2006), we relax these two assumptions and estimate a fairly simple monetary DSGE model on a richer data set. Using post-1983 U.S.data on real output, inflation, nominal interest rates, measures of inverse money velocity, and a large panel of informational series, we compare the data-rich DSGE model with the regular - few observables, perfect measurement - DSGE model in terms of deep parameter estimates, propagation of monetary policy and technology shocks and sources of business cycle fluctuations. We document that the data-rich DSGE model generates a higher implied duration of Calvo price contracts and a lower slope of the New Keynesian Phillips curve. To reduce the computational costs of the likelihood-based estimation, we employed a novel speedup as in Jungbacker and Koopman (2008) and achieved the time savings of 60 percent.
Data Rich Dsge And Dynamic Factor Models
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Author : Mr.Maxym Kryshko
language : en
Publisher: International Monetary Fund
Release Date : 2011-09-01
Data Rich Dsge And Dynamic Factor Models written by Mr.Maxym Kryshko and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-01 with Business & Economics categories.
Dynamic factor models and dynamic stochastic general equilibrium (DSGE) models are widely used for empirical research in macroeconomics. The empirical factor literature argues that the co-movement of large panels of macroeconomic and financial data can be captured by relatively few common unobserved factors. Similarly, the dynamics in DSGE models are often governed by a handful of state variables and exogenous processes such as preference and/or technology shocks. Boivin and Giannoni(2006) combine a DSGE and a factor model into a data-rich DSGE model, in which DSGE states are factors and factor dynamics are subject to DSGE model implied restrictions. We compare a data-richDSGE model with a standard New Keynesian core to an empirical dynamic factor model by estimating both on a rich panel of U.S. macroeconomic and financial data compiled by Stock and Watson (2008).We find that the spaces spanned by the empirical factors and by the data-rich DSGE model states are very close. This proximity allows us to propagate monetary policy and technology innovations in an otherwise non-structural dynamic factor model to obtain predictions for many more series than just a handful of traditional macro variables, including measures of real activity, price indices, labor market indicators, interest rate spreads, money and credit stocks, and exchange rates.
Bayesian Estimation Of Dsge Models
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Author : Edward P. Herbst
language : en
Publisher: Princeton University Press
Release Date : 2015-12-29
Bayesian Estimation Of Dsge Models written by Edward P. Herbst and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-29 with Business & Economics categories.
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.
Dsge Models In Macroeconomics
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Author : Nathan Balke
language : en
Publisher: Emerald Group Publishing
Release Date : 2012-11-29
Dsge Models In Macroeconomics written by Nathan Balke and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-29 with Business & Economics categories.
This volume of Advances in Econometrics contains articles that examine key topics in the modeling and estimation of dynamic stochastic general equilibrium (DSGE) models. Because DSGE models combine micro- and macroeconomic theory with formal econometric modeling and inference, over the past decade they have become an established framework for analy
The Oxford Handbook Of Bayesian Econometrics
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Author : John Geweke
language : en
Publisher: Oxford University Press
Release Date : 2011-09-29
The Oxford Handbook Of Bayesian Econometrics written by John Geweke and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-29 with Business & Economics categories.
Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.
Assessing Dsge Models With Capital Accumulation And Indeterminacy
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Author : Mr.Vadim Khramov
language : en
Publisher: International Monetary Fund
Release Date : 2012-03-01
Assessing Dsge Models With Capital Accumulation And Indeterminacy written by Mr.Vadim Khramov and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-01 with Business & Economics categories.
The simulated results of this paper show that New Keynesian DSGE models with capital accumulation can generate substantial persistencies in the dynamics of the main economic variables, due to the stock nature of capital. Empirical estimates on U.S. data from 1960:I to 2008:I show the response of monetary policy to inflation was almost twice lower than traditionally considered, as capital accumulation creates an additional channel of influence through real interest rates in the production sector. Versions of the model with indeterminacy empirically outperform determinate versions. This paper allows for the reconsideration of previous findings and has significant monetary policy implications.
Bayesian Multivariate Time Series Methods For Empirical Macroeconomics
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Author : Gary Koop
language : en
Publisher: Now Publishers Inc
Release Date : 2010
Bayesian Multivariate Time Series Methods For Empirical Macroeconomics written by Gary Koop and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Business & Economics categories.
Bayesian Multivariate Time Series Methods for Empirical Macroeconomics provides a survey of the Bayesian methods used in modern empirical macroeconomics. These models have been developed to address the fact that most questions of interest to empirical macroeconomists involve several variables and must be addressed using multivariate time series methods. Many different multivariate time series models have been used in macroeconomics, but Vector Autoregressive (VAR) models have been among the most popular. Bayesian Multivariate Time Series Methods for Empirical Macroeconomics reviews and extends the Bayesian literature on VARs, TVP-VARs and TVP-FAVARs with a focus on the practitioner. The authors go beyond simply defining each model, but specify how to use them in practice, discuss the advantages and disadvantages of each and offer tips on when and why each model can be used.
Handbook Of Computable General Equilibrium Modeling
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Author : Peter B. Dixon
language : en
Publisher: Newnes
Release Date : 2013-11-14
Handbook Of Computable General Equilibrium Modeling written by Peter B. Dixon and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-14 with Business & Economics categories.
In this collection of 17 articles, top scholars synthesize and analyze scholarship on this widely used tool of policy analysis, setting forth its accomplishments, difficulties, and means of implementation. Though CGE modeling does not play a prominent role in top US graduate schools, it is employed universally in the development of economic policy. This collection is particularly important because it presents a history of modeling applications and examines competing points of view. Presents coherent summaries of CGE theories that inform major model types Covers the construction of CGE databases, model solving, and computer-assisted interpretation of results Shows how CGE modeling has made a contribution to economic policy
Financial Crises In Dsge Models
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Author : Mr.Jaromir Benes
language : en
Publisher: International Monetary Fund
Release Date : 2014-04-04
Financial Crises In Dsge Models written by Mr.Jaromir Benes and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-04 with Business & Economics categories.
This paper presents the theoretical structure of MAPMOD, a new IMF model designed to study vulnerabilities associated with excessive credit expansions, and to support macroprudential policy analysis. In MAPMOD, bank loans create purchasing power that facilitates adjustments in the real economy. But excessively large and risky loans can impair balance sheets and sow the seeds of a financial crisis. Banks respond to losses through higher spreads and rapid credit cutbacks, with adverse effects for the real economy. These features allow the model to capture the basic facts of financial cycles. A companion paper studies the simulation properties of MAPMOD.
Dynamic Factor Models
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Author : Jörg Breitung
language : en
Publisher:
Release Date : 2016
Dynamic Factor Models written by Jörg Breitung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Factor models can cope with many variables without running into scarce degrees of freedom.