In the present paper a case is made for the simultaneous treatment of seasonality, outliers and nonlinearity in economic time series. It is empirically shown that outlying observations may cause that a regularly applied differencing procedure for monthly data induces a nonlinear time series. A more appropriate handling of the eventual seasonality and nonstationarity yields that linearity can not be rejected.