A Unique Orthogonal Variance Decomposition
Let e and &Sigma,be respectively the vector of shocks and its variance covariance matrix in a linear system of equations in reduced form. This article shows that a unique orthogonal variance decomposition can be obtained if we impose a restriction that maximizes the trace of A, a positive definite matrix such that Az = e where z is vector of uncorrelated shocks with unit variance. Such a restriction is meaningful in that it associates the largest possible weight for each element in e with its corresponding element in z. It turns out that A = &Sigma, 1/2 , the square root of &Sigma,.
|Date of creation:||Apr 2008|
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