Vector Autoregressions with Parsimoniously Time Varying Parameters and an Application to Monetary Policy PDF Download
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Author: Laurent Callot
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Languages : en
Pages :
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Author: Laurent Callot
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Languages : en
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Author: Dimitris Korobilis
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Languages : en
Pages : 0
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This article extends the current literature which questions the stability of the monetary transmission mechanism, by proposing a factor-augmented vector autoregressive (VAR) model with time-varying coefficients and stochastic volatility. The VAR coefficients and error covariances may change gradually in every period or be subject to abrupt breaks. The model is applied to 143 post-World War II quarterly variables fully describing the US economy. I show that both endogenous and exogenous shocks to the US economy resulted in the high inflation volatility during the 1970s and early 1980s. The time-varying factor augmented VAR produces impulse responses of inflation which significantly reduce the price puzzle. Impulse responses of other indicators of the economy show that the most notable changes in the transmission of unanticipated monetary policy shocks occurred for gross domestic product, investment, exchange rates and money.
Author: Giorgio E. Primiceri
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Languages : en
Pages : 0
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Monetary policy and the private sector behavior of the US economy are modeled as a time varying structural vector autoregression, where the sources of time variation are both the coefficients and the variance covariance matrix of the innovations. The paper develops a new, simple modeling strategy for the law of motion of the variance covariance matrix and proposes an efficient Markov chain Monte Carlo algorithm for the model likelihood/posterior numerical evaluation. The main empirical conclusions are: 1) both systematic and non-systematic monetary policy have changed during the last forty years. In particular, long run systematic responses of the interest rate to inflation and unemployment exhibit a trend toward a more aggressive behavior, despite remarkable oscillations; 2) this has had a negligible effect on the rest of the economy. The role played by exogenous non-policy shocks seems much more important than monetary policy in explaining the high inflation and unemployment episodes in recent US economic history.
Author: Marco Del Negro
Publisher:
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Languages : en
Pages : 6
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This note corrects a mistake in the estimation algorithm of the time-varying structural vector autoregression model of Primiceri (2005) and proposes a new algorithm that correctly applies the procedure proposed by Kim, Shephard, and Chib (1998) to the estimation of VAR or DSGE models with stochastic volatility. Relative to Primiceri (2005), the correct algorithm involves a different ordering of the various Markov Chain Monte Carlo steps.
Author: Siem Jan Koopman
Publisher: Emerald Group Publishing
ISBN: 1785603523
Category : Business & Economics
Languages : en
Pages : 685
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This volume explores dynamic factor model specification, asymptotic and finite-sample behavior of parameter estimators, identification, frequentist and Bayesian estimation of the corresponding state space models, and applications.
Author: John B. Taylor
Publisher: University of Chicago Press
ISBN: 0226791262
Category : Business & Economics
Languages : en
Pages : 460
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This timely volume presents the latest thinking on the monetary policy rules and seeks to determine just what types of rules and policy guidelines function best. A unique cooperative research effort that allowed contributors to evaluate different policy rules using their own specific approaches, this collection presents their striking findings on the potential response of interest rates to an array of variables, including alterations in the rates of inflation, unemployment, and exchange. Monetary Policy Rules illustrates that simple policy rules are more robust and more efficient than complex rules with multiple variables. A state-of-the-art appraisal of the fundamental issues facing the Federal Reserve Board and other central banks, Monetary Policy Rules is essential reading for economic analysts and policymakers alike.
Author: John Geweke
Publisher: Oxford University Press
ISBN: 0191618268
Category : Business & Economics
Languages : en
Pages : 576
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Book Description
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.
Author: Gary Koop
Publisher: Now Publishers Inc
ISBN: 160198362X
Category : Business & Economics
Languages : en
Pages : 104
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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.
Author: Mahlet G. Tadesse
Publisher: CRC Press
ISBN: 1000510255
Category : Mathematics
Languages : en
Pages : 762
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Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number of potential predictors is substantially larger than the sample size and sparsity can reasonably be assumed. The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. The topics covered include spike-and-slab priors, continuous shrinkage priors, Bayes factors, Bayesian model averaging, partitioning methods, as well as variable selection in decision trees and edge selection in graphical models. The handbook targets graduate students and established researchers who seek to understand the latest developments in the field. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions. Features: Provides a comprehensive review of methods and applications of Bayesian variable selection. Divided into four parts: Spike-and-Slab Priors; Continuous Shrinkage Priors; Extensions to various Modeling; Other Approaches to Bayesian Variable Selection. Covers theoretical and methodological aspects, as well as worked out examples with R code provided in the online supplement. Includes contributions by experts in the field. Supported by a website with code, data, and other supplementary material
Author: Frederic S. Mishkin
Publisher: Princeton University Press
ISBN: 1400829445
Category : Business & Economics
Languages : en
Pages : 321
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Book Description
Many prominent critics regard the international financial system as the dark side of globalization, threatening disadvantaged nations near and far. But in The Next Great Globalization, eminent economist Frederic Mishkin argues the opposite: that financial globalization today is essential for poor nations to become rich. Mishkin argues that an effectively managed financial globalization promises benefits on the scale of the hugely successful trade and information globalizations of the nineteenth and twentieth centuries. This financial revolution can lift developing nations out of squalor and increase the wealth and stability of emerging and industrialized nations alike. By presenting an unprecedented picture of the potential benefits of financial globalization, and by showing in clear and hard-headed terms how these gains can be realized, Mishkin provides a hopeful vision of the next phase of globalization. Mishkin draws on historical examples to caution that mismanagement of financial globalization, often aided and abetted by rich elites, can wreak havoc in developing countries, but he uses these examples to demonstrate how better policies can help poor nations to open up their economies to the benefits of global investment. According to Mishkin, the international community must provide incentives for developing countries to establish effective property rights, banking regulations, accounting practices, and corporate governance--the institutions necessary to attract and manage global investment. And the West must be a partner in integrating the financial systems of rich and poor countries--to the benefit of both. The Next Great Globalization makes the case that finance will be a driving force in the twenty-first-century economy, and demonstrates how this force can and should be shaped to the benefit of all, especially the disadvantaged nations most in need of growth and prosperity.
