The importance of modeling structural breaks in forecasting Russian GDP

The paper considers two types of models for forecasting seasonally adjusted Russian GDP under the structural breaks. Models that allow breaks in a deterministic trend, which dates are set exogenously, and more flexible class – with stochastic trend considered. It is shown modeling break or adding significantly improves quality 3–4 steps ahead forecasts, sometimes even on shorter horizons, compared to constant growth rate.