We introduce two forecasting methods based on a general class of non-linear models called ‘State-Dependent Models’ (SDMs) for tourism demand forecasting. Using Monte Carlo simulation which generated data from linear and models, we evidence how estimations SDMs can capture the level shifts pattern nonlinearity in data. Next, apply new to forecast growth Japan. The forecasts are compared with cla...