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Automatic Selection of Multivariate Dynamic Econometric Models
Location
RLB 303, Research Complex, HKSYU
Organizer
Start Date
2019-06-26
End Date
2019-06-26
Type
Seminar
Abstract
Inter-Institutional Development Scheme (IIDS) – Recent Development in Theoretical and Applied Econometrics Analysis – Seminar: Automatic Selection of Multivariate Dynamic Econometric Models. Speaker: Dr. Jurgen Doornik.
Abstract: Automatic general-to-specific selection of univariate econometric models is now well established and available in software. Extensions include saturation estimators, e.g. adding an impulse dummy for every observation to handle outliers. This seminar will provide an overview of the approach, and then consider extension of these procedures to the multivariate setting. The starting point is a vector autoregression, and the final stage can be a simultaneous equations model where the role of identification is considered. The aim is to obtain procedures trhat are relevant for empirical modelling.
Abstract: Automatic general-to-specific selection of univariate econometric models is now well established and available in software. Extensions include saturation estimators, e.g. adding an impulse dummy for every observation to handle outliers. This seminar will provide an overview of the approach, and then consider extension of these procedures to the multivariate setting. The starting point is a vector autoregression, and the final stage can be a simultaneous equations model where the role of identification is considered. The aim is to obtain procedures trhat are relevant for empirical modelling.