Structural Vector Autoregressions With Nonnormal Residuals

@article{Lanne2006StructuralVA,
  title={Structural Vector Autoregressions With Nonnormal Residuals},
  author={Markku Lanne and Helmut Luetkepohl},
  journal={Journal of Business \& Economic Statistics},
  year={2006},
  volume={28},
  pages={159 - 168}
}
In structural vector autoregressive (SVAR) modeling, sometimes the identifying restrictions are insufficient for a unique specification of all shocks. In this paper it is pointed out that specific distributional assumptions can help in identifying the structural shocks. In particular, a mixture of normal distributions is considered as a possible model that can be used in this context. Our model setup enables us to test restrictions which are just-identifying in a standard SVAR framework. The… 
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References

SHOWING 1-10 OF 95 REFERENCES
An information-theoretic extension to structural VAR modelling
This paper discusses techniques for estimating structural vector autoregressions. Especially when monetary policy shocks are estimated, VAR residuals turn out to be leptokurtic. It is argued that…
Identification Through Heteroskedasticity
  • R. Rigobón
  • Economics, Mathematics
    Review of Economics and Statistics
  • 2003
This paper develops a method for solving the identification problem that arises in simultaneous-equation models. It is based on the heteroskedasticity of the structural shocks. For simplicity, I…
Topics in structural VAR econometrics
This book provides a new approach to the identification and the estimation of structural VAR models. The role of deterministic variables and the connection with the concept of cointegration is…
A Multivariate Generalized Orthogonal Factor GARCH Model
We propose a factor generalized autoregressive conditional heteroscedasticity (GARCH) model and develop test procedures for checking the correctness of the number of factors. Maximum likelihood…
Likelihood-Based Inference in Cointegrated Vector Autoregressive Models
This book gives a detailed mathematical and statistical analysis of the cointegrated vector autoregresive model. This model had gained popularity because it can at the same time capture the short-run…
Cointegration Testing Using Pseudolikelihood Ratio Tests
This paper considers pseudomaximum likelihood estimators for vector autoregressive models. These estimators are used to determine the cointegration rank of a multivariate time series process using…
COMPARISON OF BOOTSTRAP CONFIDENCE INTERVALS FOR IMPULSE RESPONSES OF GERMAN MONETARY SYSTEMS
It is argued that standard impulse response analysis based on vector autoregressive models has a number of shortcomings. Although the impulse responses are estimated quantities, measures for sampling…
A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
This paper models occasional, discrete shifts in the growth rate of a nonstationary series. Algorithms for inferring these unobserved shifts are presented, a byproduct of which permits estimation of…
Testing for ARCH in the presence of additive outliers
In this paper we investigate the properties of the Lagrange Multiplier (LM) test for autoregressive conditional heteroscedasticity (ARCH) and generalized ARCH (GARCH) in the presence of additive…
Semi-nonparametric cointegration testing
...
1
2
3
4
5
...