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Persistent link: https://www.econbiz.de/10011818791
This article was prepared for the Special Issue "Celebrated Econometricians: Katarina Juselius and Søren Johansen" of Econometrics. It is based on material recorded on 30 October 2018 in Copenhagen. It explores Søren Johansen’s research, and discusses inter alia the following issues:...
Persistent link: https://www.econbiz.de/10013355167
This article was prepared for the Special Issue "Celebrated Econometricians: Katarina Juselius and Søren Johansen" of Econometrics. It is based on material recorded on 30-31 October 2018 in Copenhagen. It explores Katarina Juselius’ research, and discusses inter alia the following issues:...
Persistent link: https://www.econbiz.de/10013355175
We provide some generalization and clarification of the identification conditions for Structural VAR (SVAR) models … addition we give necessary and sufficient conditions for identification almost everywhere in SVAR under homogenous restrictions …
Persistent link: https://www.econbiz.de/10011113520
This paper deals with the issues of identification and estimation in the canonical model of contagion advanced in … in the paper. It is proved that neither identification nor Full Information Maximum Likelihood (FIML) estimation of the …
Persistent link: https://www.econbiz.de/10005113887
systems of times series can be fruitfully exploited for identification purposes in SVARs. We show by means of a Monte Carlo …
Persistent link: https://www.econbiz.de/10010482469
Persistent link: https://www.econbiz.de/10011995238
Likelihood ratio tests of over-identifying restrictions on the common trends loading matrices in I(2) VAR systems are discussed. It is shown how hypotheses on the common trends loading matrices can be translated into hypotheses on the cointegration parameters. Algorithms for (constrained)...
Persistent link: https://www.econbiz.de/10011710948
We propose a new class of observation driven time series models referred to as Generalized Autoregressive Score (GAS) models. The driving mechanism of the GAS model is the scaled score of the likelihood function. This approach provides a unified and consistent framework for introducing...
Persistent link: https://www.econbiz.de/10010325732
We propose a new class of observation-driven time-varying parameter models for dynamic volatilities and correlations to handle time series from heavy-tailed distributions. The model adopts generalized autoregressive score dynamics to obtain a time-varying covariance matrix of the multivariate...
Persistent link: https://www.econbiz.de/10010325845