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STICERD Econometrics Seminar Series

Identification of possibly nonfundamental Structural VARMA models using higher order moments

Carlos Velasco (UC3, Madrid)

Thursday 07 November 2019 14:00 - 15:30

This event will take place online.

Many of our seminars and public events this year will continue as online seminars or as online and in person. Please check our website listings and Twitter feed @STICERD_LSE for updates.

Unless otherwise specified, current restrictions mean in-person seminars are only open to members of the LSE community (those with a valid LSE ID card).

Those unable to join the seminars in-person are welcome to participate via zoom.


About this event

We use information from higher order moments to achieve identification of non-Gaussian structural vector autoregressive moving average (SVARMA) models, possibly non-fundamental. We introduce a frequency domain criterion to identify the location of the roots of the lag matrix polynomials based on higher order cumulants dynamics. This information also provides identification on the rotation of the model errors leading to the structural innovations up to sign and permutation. We develop general representations of the higher order spectral density arrays of vector linear processes and describe sufficient conditions for global and local parameter identification that rely on simple rank conditions on the linear dynamics and on moment implications of the independence component assumption on the vector of structural innovations. We generalize previous univariate asymptotic analysis to develop asymptotically normal and efficient estimates exploiting second and higher order dynamics.

STICERD Econometrics seminars are held on Thursdays in term time at 14.00-15.30, ONLINE, unless specified otherwise.

Seminar organisers: Professor Tai Otsu and Dr. Vassilis Hajivassiliou.

For further information please contact Lubala Chibwe, either by email: l.chibwe@lse.ac.uk.

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This event will take place online.