Hypothesis testUnit-root tests

DF-GLS Test: GLS-Detrended Dickey-Fuller Unit-Root Test

The DF-GLS test, introduced by Elliott, Rothenberg, and Stock (1996), is a modified augmented Dickey-Fuller procedure that applies generalized least squares (GLS) detrending before the standard unit-root regression. By removing deterministic components under a local alternative rather than the null hypothesis, the test achieves near-optimal power for detecting stationarity in time series, making it the preferred unit-root test in applied econometrics when a trend or intercept is present.

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Sources

  1. Elliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4), 813–836. DOI: 10.2307/2171846

Related methods

Referenced by

ScholarGateDF-GLS Test (Dickey-Fuller GLS (ERS) Unit-Root Test). Retrieved 2026-06-04 from https://scholargate.app/en/econometrics/df-gls