There is ample empirical evidence that expert-adjusted model forecasts can be improved. One way to potential improvement concerns providing various forms of feedback to the sales forecasters. It is also often recognized that the experts (forecasters) might not constitute a homogeneous group. This paper provides a data-based methodology to discern latent clusters of forecasters, and applies it to a fully new large database with data on expert-adjusted forecasts, model forecasts and realizations. For the data at hand, two clusters can clearly be identified. Next, the consequences of having clusters are discussed

forecast support system, sales forecasters, forecast accuracy, feedback, latent classes
hdl.handle.net/1765/132380
Department of Econometrics

Franses, Ph.H.B.F. (2016). Heterogeneous Forecast Adjustment. Retrieved from http://hdl.handle.net/1765/132380