Mark as
Forecasting Non-Stationary Economic Time Series
"In their second book on economic forecasting, Michael P. Clements and David F. Hendry ask why some practices seem to work empirically despite a lack of formal support from theory. After reviewing the conventional approach to economic forecasting, they look at the implications for causal modeling, present a taxonomy of forecast errors, and delineate the sources of forecast failure. They show that forecast-period shifts in deterministic factors - interacting with model misspecification, collinearity, and inconsistent estimation - are the dominant source of systematic failure. They then...
See on goodreads | librarything