Unit Root Test – Augmented Dicker Fuller Test
In order to implemented the Augmented Dickey- Fuller unit root test is to make sure the stationarity of all time-series data. Stationary time-series data are those that are exempt from the existence of the unit root. With the involvement of the unitroot, the differencing approach would be used to remove the unit root and leave the time-series data to be stationary. If the result of the time series data is non- stationary, it will lead to spurious regression. We assumed the variables in level and first difference with a constant, applying the lag length of ADF test using an Akaike Information Criterion (AIC) with an automatic maximum lag length of 7.
Level
1st Differences
Variable:
Trends and Intercept
Intercept
UR
0.0114
0.0001
GDP
0.0000
0.0003
IF
0.0012
0.0000
PG
1.0000
0.0001
ER
0.0117
0.0013
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