In statistics and econometrics, the ADF-GLS test (or DF-GLS test) is a test for a unit root in an economic time series sample. It was developed by Elliott, Rothenberg and Stock (ERS) in 1992 as a modification of the augmented Dickey–Fuller test (ADF).[1]
A unit root test determines whether a time series variable is non-stationary using an autoregressive model. For series featuring deterministic components in the form of a constant or a linear trend then ERS developed an asymptotically point optimal test to detect a unit root. This testing procedure dominates other existing unit root tests in terms of power. It locally de-trends (de-means) data series to efficiently estimate the deterministic parameters of the series, and use the transformed data to perform a usual ADF unit root test. This procedure helps to remove the means and linear trends for series that are not far from the non-stationary region.[2]
Consider a simple time series model
yt=dt+ut
ut=\rhout-1+et
dt
ut
yt
\rho
dt
yt
Consider the case where closeness to 1 for the autoregressive parameter is modelled as
\rho=1- | c |
T |
T
1- | \bar{c |
L
\bar{y}t=yt-(\bar{c}/T)yt-1
\bar{y}t
yt
\bar{c}
\rho=1-c/T
c=\bar{c}
dt
\bar{c}
A Primer on Unit Root Tests, P.C.B. Phillips and Z. Xiao