We consider a family of rank tests based on the regression rank score
process introduced by Gutenbrunner and Jureckova (1992) to test the un
it root hypothesis in economic time series. In contrast to tests based
on least squares methods, the rank tests are asymptotically Gaussian
under the null hypothesis, and have excellent power-particularly under
innovation processes exhibiting heavy tails.