All forecasting methods involve judgment but forecasting techniques ar
e often dichotomised as judgmental or statistical. Most forecasting re
search has focused on the development and testing of statistical techn
iques. However, in practice, human reasoning and judgment play a prima
ry role. Even when statistical methods are used, results are often adj
usted in accord with expert judgment (Bunn and Wright 1991). This edit
orial introduces the papers included in this special issue of the Inte
rnational Journal of Forecasting and places them within a broader rese
arch context. The discussion of this context is structured in three se
ctions: judgmental probability forecasting; judgmental time series for
ecasting; and interaction of judgment and statistical models.