1. MOTIVATION AND RESULTS
In the context of a cointegrated system, Gonzalo and Ng (2001) identify the underlying structural shocks as either permanent or transitory. In their procedure, the errors from a vector-error correction model (VECM) are transformed into a set of shocks that have permanent effects on the levels of the series and those that have only transitory effects. The permanent-transitory shocks are made mutually orthogonal by imposing a recursive structure on their contemporaneous impacts as in Sims (1980).
This note shows that when some of the variables in the system are weakly exogenous, the orthogonal shocks obtained directly from the VECM are related to the orthogonal permanent-transitory shocks obtained from the Gonzalo and Ng (2001) procedure. Specifically, when (i) there are as many weakly exogenous variables as common trends in the system and (ii) the weakly exogenous variables are ordered first, the orthogonal shocks obtained by imposing a contemporaneous recursive structure on the errors directly from the VECM constitute a permanent-transitory decomposition. Further, the orthogonal shocks with permanent effects are identical to those in the Gonzalo and Ng (2001) decomposition, and, in the case of only one cointegrating relation, all of the orthogonal shocks are identical to those in the Gonzalo and Ng (2001) decomposition. When the number of weakly exogenous variables is less than the number of common trends, the orthogonal shocks obtained directly from the VECM do not constitute a permanent-transitory decomposition, though some of the shocks are identical to those with permanent effects from the Gonzalo and Ng (2001) procedure.
In related literature, Ribba (1997) considered the case of a two-variable system with one cointegrating relation and one weakly exogenous variable. He shows that the orthogonal shocks obtained by imposing a contemporaneous recursive structure on the errors directly from the VECM form a permanent-transitory decomposition when the weakly exogenous variable is ordered first. Here the orthogonal shocks are identical to those from the Gonzalo and Ng (2001) decomposition. As a further example, Lettau and Ludvigson (2004) find evidence for one long-run relationship among U.S. consumption, labor income, and household wealth and also that consumption and labor income are weakly exogenous. Thus, in their system, there are two common stochastic trends, two weakly exogenous variables, and one cointegrating relationship. For consumption and labor income ordered before household wealth, they identify the orthogonal shocks under both weak exogeneity restrictions using the Gonzalo and Ng (2001) procedure. These orthogonal shocks are identical to those obtained by imposing a recursive structure on the contemporaneous impacts of the errors directly from the VECM.
2. PROOFS AND DISCUSSION
Let Xt be a p-dimensional vector of I(1) series and let the number of cointegrating relations among them be r, where r < p, so that the series share m = p − r common trends. In that case, Xt has a VECM representation of infinite order that in practice is approximated by the finite-order VECM

where π(L) = Ip − π1 L − π2 L2 − ··· − πq−1 Lq−1, L is the lag operator, Δ is the first difference operator, and et satisfies E(et) = 0, E(et et′) = Ω, and E(et es′) = 0, t ≠ s. Both α and β are (p × r) matrices where the columns of β are the coefficients in the cointegrating relations and the rows of α are the loadings on the error-correction terms β′Xt−1, respectively. In (1), under the condition that et is a vector of independent Gaussian innovations, variable xi,t can be shown to be weakly exogenous with respect to the matrix of cointegrating vectors if the r error-correction terms do not appear in the equation for Δxi,t so that αik = 0 for k = 1,…, r; see Johansen (1992, Thm. 1, p. 392) and Urbain (1992, Prop. 1, p. 193).
The VECM can be inverted to obtain the moving average representation for ΔXt,

where C(L) = Ip + C1 L + C2 L2 + ···. The long-run impacts of the reduced-form shocks on the levels of the series in Xt are given by C(1), which is a (p × p) matrix of rank m. Specifically, as shown in Johansen (1991),

where α⊥ and β⊥ are (p × m) matrices of rank m such that α′α⊥ = 0 and β′β⊥ = 0 and the (m × m) full rank matrix γ is given by (α⊥′π(1)β⊥)−1.
Gonzalo and Ng (2001) define the (p × 1) vector ut, whose first m elements are the permanent shocks and remaining r elements are the transitory shocks, as ut = Get where

and E(utut′) = GΩG′. The (p × p) matrix G is assumed to be of full rank.1
The matrix G is not necessarily of full rank. Levtchenkova et al. (1996) present a simple example in a two-variable system that yields a singular G matrix. It is assumed here that G is nonsingular because that is a required assumption of the Gonzalo and Ng (2001) procedure as is evident from (5).

This expression for G−1 appears in Gonzalo and Granger (1995) and also in Levtchenkova, Pagan, and Robertson (1996).
Gonzalo and Ng (2001) apply the following transformation to orthogonalize the permanent-transitory shocks:

where H is the unique lower triangular matrix such that

and by construction E(vt vt′) = Ip. The long-run impact matrix of the orthogonal permanent-transitory shocks is C(1)G−1H. The permanent-transitory decomposition is preserved because postmultiplication of C(1)G−1 by the lower triangular matrix H results in the matrix where the last r column vectors are all zero.
The orthogonal shocks obtained from the Gonzalo and Ng (2001) procedure and those obtained directly from the VECM are related when some of the variables in the system are weakly exogenous, as the following proposition and corollaries show.
PROPOSITION. Let Xt be a p-dimensional vector of I(1) variables with r cointegrating vectors and m = p − r common trends. Suppose there are m weakly exogenous variables with respect to the cointegrating vectors and that they are ordered first in the vector Xt. Then the orthogonal shocks obtained directly from the VECM by imposing a recursive structure on the contemporaneous impacts of the errors constitute a permanent-transitory decomposition where the permanent shocks are identical to those from the Gonzalo and Ng (2001) permanent-transitory decomposition.
Proof. Partition the (p × r) matrix α as

where αm and αr are, respectively, the first m and last r (= p − m) rows of α. Using Gaussian elimination with complete pivoting, the rows of α can be uniquely rearranged such that the first r rows are independent. This is achieved by premultiplying α by the unique (p × p) matrix

where Irr and Imm are (r × r) and (m × m) identity matrices and 0rm and 0mr are (r × m) and (m × r) null matrices, respectively. Then

where αr is an (r × r) matrix of full rank. The orthogonal complement of α is chosen as α⊥′ = [−αmαr−1 Imm] F. Substituting for F, this becomes

When the weakly exogenous variables are ordered first and are equal in number to m, αm is an (m × r) null matrix. Thus (8) becomes

It then follows from (9) that (3) may be written as

Thus, the reduced-form errors constitute a permanent-transitory decomposition. Following Sims (1980), orthogonalize the errors from the VECM by imposing a recursive structure on their contemporaneous impacts by applying the transformation

where E(vt vt′) = Ip and A is the unique lower triangular matrix such that AA′ = Ω. From (2), (10), and (11), the long-run impact matrix of the orthogonalized shocks is

Because A is lower triangular, the orthogonal shocks constitute a permanent-transitory decomposition because the last r column vectors of C(1)A are all zero.
Now partition the matrices H, A, and G as follows:

where Hmm, Hrr, Amm, and Arr are lower triangular, because H and A are lower triangular, and where G is obtained from (4) and (9). Partitioning Ω conformably with H and A, (7) shows that

for the case under consideration. The lower triangular matrix Hmm is the unique Cholesky factor of Ωmm. But by construction

so that the lower triangular matrix Amm is also the unique Cholesky factor of Ωmm. Thus Hmm−1 and Amm−1 are equal to the inverse of the unique Cholesky factor of Ωmm and therefore equal to each other. Using the formula for the inverse of a partitioned matrix (Dhrymes, 2000, Prop. 2.31, p. 43), the first m orthogonal shocks are vmt = Amm−1emt, where emt is the vector of the first m elements of et and, for the Gonzalo and Ng (2001) decomposition, the permanent shocks are vmt = Hmm−1emt. Because Hmm−1 = Amm−1, it immediately follows that vmt = Hmm−1emt = Amm−1emt. █
COROLLARY 1. In addition, when there is only one cointegrating relation (r = 1), the orthogonal shocks obtained by imposing a contemporaneous recursive structure on the VECM errors are identical to those in a Gonzalo and Ng (2001) orthogonal permanent-transitory decomposition.
Proof. In this case, G is lower triangular. It follows that H−1G is also lower triangular and G−1H is the unique Cholesky factor of Ω. Because A is also the unique Cholesky factor of Ω, A−1 = H−1G so that this is an exact special case of the Gonzalo and Ng (2001) procedure. █
COROLLARY 2. Suppose there are 0 < j < m weakly exogenous variables with respect to the cointegrating vectors and they are ordered first in Xt. Then the orthogonal shocks obtained by imposing a contemporaneous recursive structure on the VECM errors do not constitute a permanent-transitory decomposition; however, the first j of these shocks are identical to the first j permanent shocks in the Gonzalo and Ng (2001) orthogonal permanent-transitory decomposition.
Proof. Partition the (m × r) matrix αm as

where αj and αm−j are, respectively, the first j and last (m − j) rows of αm. Given that there are j < m weakly exogenous variables and that they are ordered first, αj is the (j × r) null matrix. Then from (8), the matrix G can be written as

Each row of the matrix αm−j has at least one nonzero element; otherwise there would be more than j weakly exogenously variables. Thus, the ((m − j) × r) matrix −αm−jαr−1 is not null, and therefore the (m × r) matrix −αmαr−1 is not null either. Using an expression analogous to (8) for β⊥, it is straightforward to show from (3) that the upper right-hand block of C(1) is the (m × r) matrix −γαmαr−1, which is not null as γ is of full rank. Thus, the last r column vectors of C(1) are not null so that a permanent-transitory decomposition does not pertain in this case.
Now partition H and A conformably with G as follows:


where all the matrices along the principal diagonal of H and A are, respectively, lower triangular because H and A are both lower triangular. Also partition Ω conformably with H, A, and G. Then it follows from (7) and (15) that Hjj Hjj′ = Ωjj so that Hjj is the unique Cholesky factor of Ωjj. But by construction Ajj Ajj′ = Ωjj so that Ajj is also the unique Cholesky factor of Ωjj. It immediately follows that vjt = Hjj−1ejt = Ajj−1ejt. █