Am 30.10.2022 um 08:53 schrieb Lars Ahnland:
 According to Lütkepohl and Krätzig (2004, Applied Time Series 
 Econometrics, p. 89) it is viable to relax the assumption that all 
 variables should be I(1) in levels so that the concept of 
 cointegration can is extended by including any stationary linear 
 combination (providing variables are I(0) in first differences).
 
Exactly, and what we're saying is that in general a linear combination 
can also mean to just pick one element by having a unit vector as the 
cointegration vector in this broader sense. This then would not mean 
that really two variables are cointegrated in the narrower sense.
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 *Från:* Cottrell, Allin <cottrell(a)wfu.edu>
 No, what Sven is pointing out is a common "gotcha" with the Johansen
 test: one of the series in the llst proposed for testing is I(0). This
 in itself does _not_imply that there's any cointegration going on. 
To be clear: I don't _know_ that one series is I(0). Nor does Lars 
_know_ that it is I(1). The evidence is just not super clear, given the 
small sample size. So the test result could be a reflection of the 
capital share being I(0), or there could alternatively be genuine 
cointegration where the debt ratio enters with a small coefficient. 
(Check the estimates of the cointegration vector under rank 1.)
So, coming back to the original question which is only a little 
gretl-related in the sense of clarifying if the "johansensmall" package 
by Andreas Noack Jensen and myself can be used with 30 observations or 
so: Yes, I think it's possible and the results are not "wrong". Of 
course, the bootstrap approach never promises to achieve _exactly_ the 
nominal test size (for example, 5% rejection under the null). We just 
hope that it corrects the size distortion in small samples _to some 
extent_. At the same time you will lose test power. So it's still the 
case that the uncertainty surrounding the test result gets bigger when 
you have less data, and you definitely have to interpret the results 
with caution.
cheers
sven