Augmented Dickey-Fuller Test for stationarity was performed on a
certain series (both at level, that is original series, and at
first difference). The output from R are given below: Augmented
Dickey-Fuller Test data: at level (original) Dickey-Fuller =
-0.99253, Lag order = 4, p-value = 0.9324 Augmented Dickey-Fuller
Test data: first difference Dickey-Fuller = -3.3902, Lag order = 4,
p-value = 0.06496
i. State the null and the alternative hypotheses for both at level
and first difference;
ii. Interpret the results of this test. Is stationarity achieved?
If not recommend an appropriate step to achieve stationarity.
SOLUTION:-
(i)
For at level:
H0 : Yt is random walk
H1 : Yt is stationary process.
For first difference:
H0 : Yt is random walk
H1 : Yt is stationary process
(ii)
Interpret:-
For at level:
P-value is 0.9324 > 0.05 we fail to reject the null hypothesis. This means data is random walk.
For at level:
P-value is 0.064 > 0.5 This means data is random walk.
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