It is well known that a combination of model-based forecasts can improve upon each of the individual constituent forecasts. Most forecasts available in practice are, however, not purely based on econometric models but entail adjustments, where experts with domain-specific knowledge modify the original model forecasts. There is much evidence that expert-adjusted forecasts do not necessarily improve the pure model-based forecasts. In this paper we show, however, that combined expert-adjusted model forecasts can improve on combined model forecasts, in the case when the individual expert-adjusted forecasts are not better than their associated model-based forecasts. We discuss various implications of this finding
Expert forecast combination -- the aggregation of individual forecasts from multiple subject-matter ...
textabstractThis thesis is about forecasting situations which involve econometric models and expert ...
textabstractExperts often add domain knowledge to model-based forecasts while aiming to reduce forec...
It is well known that a combination of model-based forecasts can improve upon each of the individua...
textabstractWe perform a large-scale empirical analysis of the question whether model-based forecast...
Experts frequently adjust statistical model-based forecasts. Sometimes this leads to higher forecast...
textabstractOfficial forecasts of international institutions are never purely model-based. The preli...
Official forecasts of international institutions are never purely model-based. Preliminary results o...
Experts (managers) may have domain-specific knowledge that is not included in a statistical model an...
textabstractExperts may have domain-specific knowledge that is not included in a statistical model a...
Experts often add domain knowledge to model-based forecasts while aiming to reduce forecast errors. ...
This thesis is about forecasting situations which involve econometric models and expert intuition. T...
Experts often add domain knowledge to model-based forecasts while aiming to reduce forecast errors. ...
textabstractWe study the performance of sales forecasts which linearly combine model-based forecasts...
textabstractExperts frequently adjust statistical model-based forecasts. Sometimes this leads to hig...
Expert forecast combination -- the aggregation of individual forecasts from multiple subject-matter ...
textabstractThis thesis is about forecasting situations which involve econometric models and expert ...
textabstractExperts often add domain knowledge to model-based forecasts while aiming to reduce forec...
It is well known that a combination of model-based forecasts can improve upon each of the individua...
textabstractWe perform a large-scale empirical analysis of the question whether model-based forecast...
Experts frequently adjust statistical model-based forecasts. Sometimes this leads to higher forecast...
textabstractOfficial forecasts of international institutions are never purely model-based. The preli...
Official forecasts of international institutions are never purely model-based. Preliminary results o...
Experts (managers) may have domain-specific knowledge that is not included in a statistical model an...
textabstractExperts may have domain-specific knowledge that is not included in a statistical model a...
Experts often add domain knowledge to model-based forecasts while aiming to reduce forecast errors. ...
This thesis is about forecasting situations which involve econometric models and expert intuition. T...
Experts often add domain knowledge to model-based forecasts while aiming to reduce forecast errors. ...
textabstractWe study the performance of sales forecasts which linearly combine model-based forecasts...
textabstractExperts frequently adjust statistical model-based forecasts. Sometimes this leads to hig...
Expert forecast combination -- the aggregation of individual forecasts from multiple subject-matter ...
textabstractThis thesis is about forecasting situations which involve econometric models and expert ...
textabstractExperts often add domain knowledge to model-based forecasts while aiming to reduce forec...