On the Existence of the Moments of the Asymptotic Trace Statistic



Finally, to bound E[tr(AT1)]4 uniformly, we recall U ~ Wds(m,Id) and use results of von
Rosen (1988, 1997) on moments for the inverted Wishart distribution. In particular it is
known that the
qth moments of UT1 exist if m - d - 2q + 1 > 0. Consequently,

E[tr(U T1)]4 ≤ c2 < ∞ for m ≥ d + 8,                      (14)

so that an application of inequality (10) for m = d+ 8 (assuming T > m) together with (11),
(14) and Lemma 1 yields the desired result.

The proof of (ii) is analogous to that of (i) and thus only sketched. First, the Cauchy-
Schwarz inequality provides, using (7),

E(ZT,d) E £tr(AT 1)tr(BtB't)]4 ©E[tr(AT 1)]8E[tr(BτBT)]8}1 /2 .

It is easy to see that E[tr(BT BT0 )]8 is uniformly bounded in T, since supT E(αi1j6) < ∞.
Finally, E[tr(
ATT1)]8 is uniformly bounded by choosing m = d+ 16 and applying (10) together
with (11), because then E[tr(
U T1)]8 ≤ c3 < ∞. This completes the proof.                 ¥

Theorem. It holds that E(Zd2) < ∞ and lim E(ZTq d) = E(Zdq) for q = 1, 2.

T→∞    ,

Proof. Recalling that ZT,d converges weakly to the asymptotic trace statistic Zd (Jo-
hansen, 1995), the result follows if
{ZT2,d} is uniformly integrable (see Theorem A on p.14 in
Serfling, 1980). A sufficient condition for the uniform integrability of
{ZTd} is that EZτ,d2+δ
is uniformly bounded for some δ > 0, i.e supτ EZτ,d2+δ < ∞. But this is an immediate
consequence of Lemma 2 (ii), completing the proof.                                    
¥

3 Discussion

Several authors have used the first two moments of the asymptotic trace statistic to base
panel cointegration tests on a standardized average of individual cointegration test statistics;
see, for instance, Larsson et al. (2001), Groen & Kleibergen (2003) and Breitung (2005).
Our Theorem provides a theoretical justification for such an approach. To the best of our
knowledge, the only attempt to establish this result is due to Larsson et al. (2001). However,
the proof of their Lemma 1, which coincides with our Lemma 2, is incorrect and has thus
initiated this note. In what follows, we comment in more detail on the proof by Larsson et
al. (2001).

In our notation, Larsson et al. (2001) assumed εt ~ Nd(0, Ω) i.i.d for defining Zτ,d in (3).
This seems to be unnecssary, but would not lead to complications in our proof. Moreover,
they used the spectral decomposition of the (random) positive definite (
d × d) matrix AT (see
(4)), i.e.

1T

At = t^ ∑X-1 Xt-1 = GΓG,
T
t=1

where G is an orthogonal (d × d) matrix and Γ = diag(γ 1, ...,γd), and defined ε by ε = εG.
Then they rewrote (3) as

d

ZT,d = tr(BT0 G0Γ-1GBT) = XHiiγi-1,

i=1



More intriguing information

1. Individual tradable permit market and traffic congestion: An experimental study
2. The name is absent
3. How do investors' expectations drive asset prices?
4. Sustainability of economic development and governance patterns in water management - an overview on the reorganisation of public utilities in Campania, Italy, under EU Framework Directive in the field of water policy (2000/60/CE)
5. Return Predictability and Stock Market Crashes in a Simple Rational Expectations Model
6. Regional science policy and the growth of knowledge megacentres in bioscience clusters
7. BEN CHOI & YANBING CHEN
8. Why unwinding preferences is not the same as liberalisation: the case of sugar
9. Correlates of Alcoholic Blackout Experience
10. The name is absent