ur.df(data, type = "trend", lags = 20, selectlags = "AIC")
This is my output :
Value of test-statistic is: -3.1535 3.6559 5.1012
Critical values for test statistics:
1pct 5pct 10pct
tau3 -3.96 -3.41 -3.12
phi2 6.09 4.68 4.03
phi3 8.27 6.25 5.34
From what i read i would say that at 5pct : tau3 is accepted (there is a unity root) ; phi3 is rejected since the test-statistic 5.1012 < 6.25 critique value and phi2 is rejected
where
-
tau3 refers to the null hypothesis that there is a unit root.
-
phi3 refers to the null hypothesis that there is a unit root AND no-trend (without trend)
-
phi2 refers to the null hypothesis that there is a unit root without trend and without drift
am i missing something ? i already read
Interpreting R's ur.df (Dickey-Fuller unit root test) results
this post but i'm still not sure if i am right
Best Answer
The correct interpretation of the above example is :
we accept tau3 (null hypothesis : there's a unit root) at 5pct because -3.1535 is NOT < -3.41
we accept phi3 (null hypothesis : there's a unit root AND no-trend) because 5.1012 is not > 6.25
we accept phi2 (null hypothesis : there is a unit root without trend and without drift) because 3.6559 is not > 4.68