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Author: Giovanni Angelini
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
In this paper we discuss general identification results for Structural Vector Autoregressions (SVARs) with external instruments, considering the case in which r valid instruments are used to identify g ≥ 1 structural shocks, where r ≥ g. We endow the SVAR with an auxiliary statistical model for the external instruments which is a system of reduced form equations. The SVAR and the auxiliary model for the external instruments jointly form a 'larger' SVAR characterized by a particularly restricted parametric structure, and are connected by the covariance matrix of their disturbances which incorporates the 'relevance' and 'exogeneity' conditions. We discuss identification results and likelihood-based estimation methods both in the 'multiple shocks' approach, where all structural shocks are of interest, and in the 'partial shock' approach, where only a subset of the structural shocks is of interest. Overidentified SVARs with external instruments can be easily tested in our setup. The suggested method is applied to investigate empirically whether commonly employed measures of macroeconomic and financial uncertainty respond on-impact, other than with lags, to business cycle fluctuations in the U.S. in the period after the Global Financial Crisis. To do so, we employ two external instruments to identify the real economic activity shock in a partial shock approach.
Author: Giovanni Angelini
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
In this paper we discuss general identification results for Structural Vector Autoregressions (SVARs) with external instruments, considering the case in which r valid instruments are used to identify g ≥ 1 structural shocks, where r ≥ g. We endow the SVAR with an auxiliary statistical model for the external instruments which is a system of reduced form equations. The SVAR and the auxiliary model for the external instruments jointly form a 'larger' SVAR characterized by a particularly restricted parametric structure, and are connected by the covariance matrix of their disturbances which incorporates the 'relevance' and 'exogeneity' conditions. We discuss identification results and likelihood-based estimation methods both in the 'multiple shocks' approach, where all structural shocks are of interest, and in the 'partial shock' approach, where only a subset of the structural shocks is of interest. Overidentified SVARs with external instruments can be easily tested in our setup. The suggested method is applied to investigate empirically whether commonly employed measures of macroeconomic and financial uncertainty respond on-impact, other than with lags, to business cycle fluctuations in the U.S. in the period after the Global Financial Crisis. To do so, we employ two external instruments to identify the real economic activity shock in a partial shock approach.
Author: Markku Lanne
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Zhengyang Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
We propose a novel approach that embeds Rational Expectations (RE) into a low- dimensional structural vector autoregression (SVAR). We establish an instrumental variable procedure internal to the SVAR founded on a purely theoretical framework, which does not rely on any mapping strategy to a reduced form. Alternatively, a separate strategy considers data external to the SVAR to aid in the identification of structural shocks on a purely empirical basis. We report clouds of responses from an RE-consistent theoretical model as well as regions of plausible responses from the empirical approach. We conclude that a Taylor Rule characterization of monetary policy shocks remains relevant when the theoretical RE-SVAR is properly augmented with information from fluctuations--or momentous events--in markets that garnered increased attention since 2008, such as reserves and various money markets.
Author: John B. Taylor
Publisher: Elsevier
ISBN: 0444594787
Category : Business & Economics
Languages : en
Pages : 1376
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Book Description
Handbook of Macroeconomics surveys all major advances in macroeconomic scholarship since the publication of Volume 1 (1999), carefully distinguishing between empirical, theoretical, methodological, and policy issues. It courageously examines why existing models failed during the financial crisis, and also addresses well-deserved criticism head on. With contributions from the world's chief macroeconomists, its reevaluation of macroeconomic scholarship and speculation on its future constitute an investment worth making. - Serves a double role as a textbook for macroeconomics courses and as a gateway for students to the latest research - Acts as a one-of-a-kind resource as no major collections of macroeconomic essays have been published in the last decade
Author: Lutz Kilian
Publisher: Cambridge University Press
ISBN: 1107196574
Category : Business & Economics
Languages : en
Pages : 757
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Book Description
This book discusses the econometric foundations of structural vector autoregressive modeling, as used in empirical macroeconomics, finance, and related fields.
Author: Xu Cheng
Publisher:
ISBN:
Category :
Languages : en
Pages : 33
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Book Description
This paper considers the estimation of dynamic causal effects using external instruments and a structural vector-autoregressive model with possibly non-stationary regressors. We provide general conditions under which the asymptotic normal approximation remains valid. In this case, the asymptotic variance depends on the persistence property of each series. We further provide a consistent asymptotic covariance matrix estimator that requires neither such knowledge nor pre-tests for nonstationarity. The proposed consistent covariance matrix estimator is robust and is easy to implement in practice.
Author: Donald W. K. Andrews
Publisher: Cambridge University Press
ISBN: 9780521844413
Category : Business & Economics
Languages : en
Pages : 606
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Book Description
This 2005 collection pushed forward the research frontier in four areas of theoretical econometrics.
Author: Juan Francisco Rubio-Ramirez
Publisher:
ISBN:
Category :
Languages : en
Pages : 69
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Book Description
Structural vector autoregressions (SVARs) are widely used for policy analysis and to provide stylized facts for dynamic general equilibrium models. Yet there have been no workable rank conditions to ascertain whether an SVAR is globally identified. When identifying restrictions such as long-run restrictions are imposed on impulse responses, there have been no efficient algorithms for small-sample estimation and inference. To fill these important gaps in the literature, this paper makes four contributions. First, we establish general rank conditions for global identification of both overidentified and exactly identified models. Second, we show that these conditions can be checked as a simple matrix-filling exercise and that they apply to a wide class of identifying restrictions, including linear and certain nonlinear restrictions. Third, we establish a very simple rank condition for exactly identified models that amounts to a straightforward counting exercise. Fourth, we develop a number of efficient algorithms for small-sample estimation and inference.
Author: Phoebus J. Dhrymes
Publisher:
ISBN:
Category : Autoregression (Statistics)
Languages : en
Pages : 29
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Book Description
Author: Siem Jan Koopman
Publisher: Emerald Group Publishing
ISBN: 1785603523
Category : Business & Economics
Languages : en
Pages : 685
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Book Description
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.
