Panel CIPS Unit Root Test STATA — Transcript
Full transcript
- 0:00in this video I'm going to be examining
- 0:03the stationarity of a variable using the
- 0:06cips unit truth test DC IPS initial test
- 0:09is used in the presence or when there is
- 0:13cross-sectional dependence in a model
- 0:15and the command is the XTC IPS is active
- 0:19cips for this video I'll be using the
- 0:21log of GDP as an example uh so I'll be
- 0:25testing the stationarity of the log of
- 0:26GDP lgdp I'll click a comma and include
- 0:31the max the max lag
- 0:33and the BG lag
- 0:37so I'm including the max lag to B2 and
- 0:40the BG lag to be also also be two the
- 0:43mag slag specifies the maximum number of
- 0:45logs to be included in the model while
- 0:48the BG lag establishes the serial
- 0:50correlation order I click enter
- 0:54now we can see the coefficients of the
- 0:57cips test which is uh in absolute value
- 1:00it is 2.558 and is greater than all the
- 1:05conventional levels of statistical
- 1:06significance so these mean that our
- 1:09variable is stationary in levels you
- 1:12could also include a Time Trend in the
- 1:15model
- 1:17so the results is still similar we could
- 1:20see that the coefficient value of the
- 1:21cips test is greater than the
- 1:24coefficient value the critical values
- 1:26are ten percent five percent and one
- 1:28percent indicating that our variable is
- 1:30stationary in in levels in case our
- 1:34variable is not stationary levels we
- 1:35could actually
- 1:37re-estimate the log of GDP the
- 1:39stationary term log of GDP in Phase
- 1:42Difference by including a d dots
- 1:47as before we can see that the
- 1:49coefficients of the CRPS test is greater
- 1:52than conventional levels of statistical
- 1:54significance the critical values of the
- 1:57conventional levels of statistical
- 1:58significance you could also include the
- 2:01time Trend in the analysis and phase
- 2:03difference
- 2:05we could also see similar conclusions
- 2:08where the corruption of the cips test is
- 2:10greater than the critical values at 10 5
- 2:13and 1 so this this variable is
- 2:18stationary levels and as well also
- 2:20stationary after first difference
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