The International Journal of Forecasting (IJF) is the leading journal in its field and is an official publication of the International Institute of Forecasters (IIF). Published quarterly by Elsevier, its objective, and that of the IIF, is to unify the field of forecasting and to bridge the gap between theory and practice, making forecasting useful and relevant for decision and policy makers.
The IJF publishes high quality refereed papers covering all aspects of forecasting, including forecasting methods, applications, implementation, evaluation, and organizational behavior. Features of the IJF include refereed research papers, book reviews, notes, and editorials. The journal publishes occasional special issues on topics of interest to forecasters and decision makers.
For information about citations, metrics and submission times, see the 2019 annual report.
Best Paper Award
Every two years the International Journal of Forecasting editors select the best paper to have been published in the IJF within the previous two-year period. We are pleased to announce the winners of papers published during 2016-2017. We are fortunate to have these two papers published in our journal. Congratulations to the authors!
Best Paper award The predictive power of Google searches in forecasting US unemployment by Francesco D’Amuri and Juri Marcucci, published 2017, vol.33, no. 4
Outstanding Paper award Probabilistic electric load forecasting: A tutorial review by Tao Hong and Shu Fan, published 2016, vol 32, no. 3
Topics Covered in the IJF
- economic and econometric forecasting
- marketing forecasting
- new products forecasting
- financial forecasting
- operations forecasting
- technological forecasting
- forecasting applications in business, government, and the military
- demographic forecasting
- energy forecasting
- climate forecasting
- crime forecasting
- seasonal adjustments and forecasting
- time series forecasting
- legal and political aspects of forecasting
- implementation of forecasting
- judgmental/psychological aspects of forecasting
- impact of forecast uncertainty on decision making
- organizational aspects of forecasting
- evaluation of forecasting methods and approaches
To ensure fairness and objectivity, double-blind reviewing will be used.
The IJF encourages replication studies, especially of highly cited papers. See Encouraging replication and reproducible research (an editorial published in 2010) for further information. A replication study that confirms that a published paper can be successfully replicated would normally be quite short (about a page is often sufficient to describe what calculations and comparisons have been done). Where a previously published paper has not been successfully replicated, more details are required to explain how the results differ from those previously published.
Please contact Dr Nikolaos Kourentzes if you are interested in reviewing books for the IJF.