Phillips Perron type unit root tests in the nonlinear ESTAR framework In this paper we propose Phillips Perron type semiparametric testing procedures to distinguish a unit root process from a mean reverting exponential smooth transition autoregressive one. The limiting nonstandard distributions are derived under very general conditions and simulation evidence shows that the tests perform better than the standard Phillips Perron or Dickey Fuller tests in the region of the null.