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Granger Causal Priority and Choice of Variables in Vector Autoregressions

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Abstract We derive a closed-form expression for the posterior probability of Granger noncausality in a gaussian vector autoregression with a conjugate prior. We also express in closed form the posterior… Click to show full abstract

Abstract We derive a closed-form expression for the posterior probability of Granger noncausality in a gaussian vector autoregression with a conjugate prior. We also express in closed form the posterior probability of Granger causal priority, a more general relation that accounts for indirect effects between variables and therefore is suitable in a multivariate context. One can use these results to answer the classic question, “Is variable z relevant for variable x?” and to choose variables for a vector autoregression.

Keywords: choice variables; variables vector; priority choice; causal priority; granger causal

Journal Title: Review of Economics and Statistics
Year Published: 2017

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