Higgins presents six chapters that focus on how the reliability of economic forecasts can be improved. Three of the chapters focus on forecasting in real time while predicting turning points for macro aggregate measures such as GNP, inflation, growth, and unemployment. Authors of two chapters argue that data can be more efficiently exploited through model and forecast combination. they, along with authors of another chapter, also advocate for using models that are adaptive and perform well in the presence of nonlinearity and structural change.