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In this paper we discuss general identification results for Structural Vector Autoregressions (SVARs) with external … ‘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 …
Persistent link: https://www.econbiz.de/10012918605
In this paper we discuss general identification results for Structural Vector Autoregressions (SVARs) with external … "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 …
Persistent link: https://www.econbiz.de/10012157004
This paper provides some test cases, called circuits, for the evaluation of Gaussian likelihood maximization algorithms of the cointegrated vector autoregressive model. Both I(1) and I(2) models are considered. The performance of algorithms is compared first in terms of effectiveness, defined as...
Persistent link: https://www.econbiz.de/10011781891
This paper proposes a joint methodology for the identification and inference of structural vector autoregressive models …
Persistent link: https://www.econbiz.de/10012697868
When in proxy-SVARs the covariance matrix of VAR disturbances is subject to exogenous, permanent, nonrecurring breaks … (ii) the potential failure of instrument exogeneity. We introduce a novel identification strategy that appropriately …
Persistent link: https://www.econbiz.de/10014495778
We propose a new non-recursive identification scheme for uncertainty shocks, which exploits breaks in the unconditional … volatility of macroeconomic variables. Such identification approach allows us to simultaneously address two major questions in … the empirical literature on uncertainty: (i) Does the relationship between uncertainty and economic activity change across …
Persistent link: https://www.econbiz.de/10011778668
Motivated by the increasing use of external instruments to identify structural vector autoregressions (SVARs), we … develop algorithms for exact finite sample inference in this class of time series models, commonly known as proxy-SVARs. Our … structural parameterization of a proxy-SVAR. Importantly, our techniques can handle the case of set identification and hence they …
Persistent link: https://www.econbiz.de/10011939964
This contribution studies the application of heteroskedasticity robust estimation of Vector-Autoregressive (VAR) models. VAR models have become one of the most applied models for the analysis of multivariate time series. Econometric standard software usually provides parameter estimators that...
Persistent link: https://www.econbiz.de/10009511728
We propose a new non-recursive identification scheme for uncertainty shocks, which exploits breaks in the unconditional … volatility of macroeconomic variables. Such identification approach allows us to simultaneously address two major questions in … the empirical literature on uncertainty: (i) Does the relationship between uncertainty and economic activity change across …
Persistent link: https://www.econbiz.de/10012927574
We propose a new non-recursive identification scheme for uncertainty shocks, which exploits breaks in the unconditional … volatility of macroeconomic variables. Such identification approach allows us to simultaneously address two major questions in … the empirical literature on uncertainty: (i) Does the relationship between uncertainty and economic activity change across …
Persistent link: https://www.econbiz.de/10012942173