We analyze the behavior of experts who quote forecasts for monthlySKU-level sales data where we compare data before and after the momentthat experts received different kinds of feedback on their behavior. Wehave data for 21 experts located in as many countries who make SKUlevelforecasts for a...

Experts can rely on statistical model forecasts when creating their own forecasts.Usually it is not known what experts actually do. In this paper we focus on threequestions, which we try to answer given the availability of expert forecasts andmodel forecasts. First, is the expert forecast...

Forecasts from various experts are often used in macroeconomic forecasting models. Usually the focus is on the mean or median of the survey data. In the present study we adopt a different perspective on the survey data as we examine the predictive power of disagreement amongst forecasters. The...

This paper reports on simulation results for the Wald test for ï¡1=ï¡2=0 in the regression model for the case ï« is known and for the case where ï« has to be estimated using nonlinear least squares (NLS). This last situation is not standard, and we therefore provide critical values for...

Experts may have domain-specific knowledge that is not included in a statistical model and that can improve forecasts. While one-step-ahead forecasts address the conditional mean of the variable, model-based forecasts for longer horizons have a tendency to convert to the unconditional mean of a...

Experts frequently adjust statistical model-based forecasts. Sometimes this leads to higher forecast accuracy, but expert forecasts can also be dramatically worse. We explore the potential drivers of the relevance and quality of experts' added knowledge. For that purpose, we examine a very large...

We perform a large-scale empirical analysis of the question whether model-based forecasts can be improved by adding expert knowledge. We consider a huge database of a pharmaceutical company where the head office uses a statistical model to generate monthly sales forecasts at various horizons for...

It frequently occurs that experts adjust forecasts from statistical models. There is some evidence that such adjusted forecasts can lead to substantially better performance. Little is known about competence and confidence effects in what these experts do. Theoretical and experimental results in...

Macroeconomic forecasts are frequently produced, published, discussed and used. The formal evaluation of such forecasts has a long research history. Recently, a new angle to the evaluation of forecasts has been addressed, and in this review we analyse some recent developments from that...

Experts often add domain knowledge to model-based forecasts while aiming to reduce forecast errors. Indeed, there is some empirical evidence that expert-adjusted forecasts improve forecast quality. However, surprisingly little is known about what experts actually do. Based on a large and...