Robustifying Glejser test of heteroskedasticity

Verifying that the Glejser test for heteroskedasticity is asymptotically invalid unless the error density is symmetric, this paper proposes a simple modification to make the test robust to asymmetric disturbances. Simulation results demonstrate that the size of the modified test is correct for both symmetric and skewed errors.