How to test for the existence of a unit root in EViews – Stationarity of a Series
To test for the existence of a unit root in EViews and the stationarity of a series, you can use the following steps:
- Unit Root Testing in EViews:
- EViews provides a variety of unit root testing tools, including the Augmented Dickey-Fuller (ADF) test, HEGY test, Canova and Hansen test, and Variance Ratio tests
- You can run a unit root test by specifying the series and the test type in EViews, such as the ADF test, Phillips-Perron test, or other relevant tests
- Interpreting the Results:
- When interpreting the results of a unit root test, you should consider the test statistic, p-value, and critical values. For example, if the test statistic is less than the critical value, you may reject the null hypothesis of a unit root and conclude that the series is stationary
- Stationarity Testing:
- To test for stationarity, you can use correlograms and unit root tests. If the unit root test indicates the presence of a unit root, the series is non-stationary. Conversely, if the test suggests the absence of a unit root, the series is stationary
- It’s important to ensure that the series is stationary before performing further analysis, such as time series modeling or forecasting.
- Additional Resources:
- You can refer to EViews tutorials and resources available on platforms like YouTube and EViews forums for step-by-step guidance on conducting unit root tests and checking for stationarity in EViews
By following these steps and considering the test results, you can effectively test for the existence of a unit root and the stationarity of a series in EViews.