Abstract
We derive the conditions under which time-varying cointegration leads to cointegration spaces that may be time-invariant or, in contrast, time-varying. The model of interest is a vector error correction model with arbitrary time-varying cointegration parameters. We clarify the role of identification and normalization restrictions and show that structural breaks in error-correction models may actually correspond to stable long-run economic relationships, as opposed to a single-equation setup, in which an identification restriction is imposed. Moreover, we show that, in a time-varying cointegrating relationship with a given number of variables and cointegration rank, there is a minimum number of orthogonal Fourier functions that most likely guarantees time-varying cointegrating spaces.
4 Appendix: Proofs of Lemma 1 and Theorems
Proof of Lemma 1. For a pair t, s, the null space

is of dimension dim(Nts(ξ))=(m+1)r–rank(ξ)<(m+1)r because ξ≠0. See Strang (1988), for example. Hence, rank(ξ)<(m+1)r and the result follows noting that 0<rank(ξ) ≤ min {k, (m+1)r}.
So now the question is whether any of these solutions









with

in ℜr for i=1, …,m, where

LEMMA A.1. For all t≠s, t, s=1, …,T, P1,T(t)≠ P1,T(s). When I=2, …,m<T, Pi,T(t)=Pi,T(s) for at least one pair t, s with t≠s. Moreover, for all t≠ s,t,s=1,…,T and(i=1, …,m – 1, Pi,T(t)≠ Pi+1,T(s).
PROOF: The time periods such that Pi,T(t)=Pi,T(s) are











Lemma A.2. For any t≠ s and fixed r,m > 0,rank(Pts)=2r
PROOF: Without loss of generality, take r=m=1. Then,

has rank equal to 2 because P1,T(t)≠ P1,T(s) for any t≠ s (see Lemma A.1.).
Proof of Theorem 1. In the system Pts λts=xts, where xts≠ 0, the number of unknowns does not exceed the number of equations, (m + 1)r≥2r and rank(Pts)=2r for all t≠ s, m≥1, by Lemma A.2. By the same reasoning, rank(Pts, xts)=rank(Pts)=2r for all t≠ s, if m=1. Thus, when m=1, in the cases of k<(m+1)r=2r and k≥(m+1)r=2r with rank(ξ)<(m+1)r=2r there is one solution
















Proof of Theorem 2. With m≥2,rank(Pts, xts) is either 2r or 2r+1 Whenever rank(Pts, xts)=2r=rank(Pts) there is one solution





for some






for some non zero r × r matrices











- 1
The identification restrictions can be made more general,
given the usual notation, and taking any k and any r: - 2
One such case is the Purchasing Power Parity TV cointegration analysis in Bierens and Martins (2010). It most probably has TV cointegrating spaces since r=1, k=3 and m was always >5 according to the Hannan-Quinn criterion.
- 3
This will form a unique solution by applying the transversality condition
- 4
US data (from 1900 to 2006) is available from Robert Shiller’s webpage (www.econ.yale.edu/126shiller), where stock prices are January values for the Standard and Poor Composite Index, dividends are year-averages and both series are deflated by January values of the producer price index. Following several other authors, we do not include the latest available sampling period, as the deviations from the implied relationship are unusually large and persistent, albeit temporary.
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