A fast and stable method to compute the likelihood of state-space models with unit roots

We propose two fast and stable methods to compute the likelihood of econometric models in state-space form, allowing for unit roots. The first one exploits the properties of the Kalman filter when applied to models in steady-state innovations form. Afterwards we derive a procedure with similar properties that can be applied to any state-space model satisfying weak assumptions.