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unit root test
In statistics, a unit root test tests whether a time series variable is non-stationary using an autoregressive model. A well-known test that is valid in large samples is the augmented Dickey–Fuller test. The optimal finite sample tests for a unit root in autoregressive models were developed by Denis Sargan and Alok Bhargava. Another test is the Phillips–Perron test. These tests use the existence of a unit root as the null hypothesis.
==See also==
* Augmented Dickey–Fuller test
* Dickey–Fuller test
* Phillips–Perron test
* KPSS test
* Zivot–Andrews test
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