Macroeconomic forecasting experience with balanced state space models

The paper surveys the forecasting experience in macroeconomics with recently developed balanced state space methods. After relating the state space approach to traditional time series modeling, a brief overview is given of the alternative methods to balanced state space modeling. Results of various recent macroeconomic studies applying these techniques and comparing their forecasting performance to the ones of econometric time series models are discussed.