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st: trend-stationary process and causality


From   "Neuling,MM (pgt)" <M.M.Neuling@lse.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: trend-stationary process and causality
Date   Sat, 13 Aug 2005 00:56:41 +0100

hey everybody....
 
i have a question concerning granger causality wald test when the dependent series is trend-stationary... i tried the following and was wondering if this is correct...
 
y(t) = a[y(t-1)] + b[x(t-1)] + cT + dT-squared ... 
 
where T and T-squared are trends T=1,2,3,4 ... and T-squared=1,4,9,16... 
 
and just looked the statistical significance of the x-variable to decide if there is causality or not [also ran "test x(t-1)=0", which confirmed the t-test statistic]...
 
is this a valid kind of approximation to the (one-way) granger causality wald test assuming only one lag?
 
thanks a lot for your help ... take care, matthias

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