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Data-based priors for vector autoregressions with drifting coefficients
(University of Glasgow, 2014-01)
This paper proposes full-Bayes priors for time-varying parameter vector autoregressions (TVP-VARs) which are more robust and objective than existing choices proposed in the literature. We formulate the priors in a way that ...