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Saturday, January 4, 2014

International Journal of Forecasting

Published/Hosted by: ELSEVIER
ISSN: 0169-2070
Country: Netherlands
Frequency: Quarterly
Impact Factor: 1.424 (2012)

About Journal
The International Journal of Forecasting publishes high quality refereed papers covering all aspects of forecasting. Its objective (and that of the IIF) is to unify the field, and to bridge the gap between theory and practice, making forecasting useful and relevant for decision and policy makers. The journal places strong emphasis on empirical studies, evaluation activities, implementation research and ways of improving the practice of forecasting. It is open to many points of view and encourages debate to find solutions for problems facing the field.

Submission Process
Submit manuscripts online at http://mc.manuscriptcentral.com/ijf

General Guidelines for Authors
It is important that the file be saved in the native format of the word processor used. The text should be in single-column format. Keep the layout of the text as simple as possible. Most formatting codes will be removed and replaced on processing the article. In particular, do not use the word processor's options to justify text or to hyphenate words. However, do use bold face, italics, subscripts, superscripts etc. When preparing tables, if you are using a table grid, use only one grid for each individual table and not a grid for each row. If no grid is used, use tabs, not spaces, to align columns.

REFERENCES
Follow the examples:

For articles
Armstrong, J.S. & Collopy, F. (1992). Error measures for generalizing about forecasting methods: Empirical comparisons.
International Journal of Forecasting, 8, 69-80.

For books
Cook, T.D. & Campbell, D.T. (1979). Quasi-Experimentation, Boston: Houghton Mifflin. For collective works: Kahneman, D. & Tversky, A. (1982). Intuitive prediction: Biases and corrective procedures. In: D. Kahneman et al. (Eds.)
Judgment under uncertainty: Heuristics and biases. Cambridge: Cambridge University Press, pp. 414-421.

For web sites
Hyndman, R.J. Time series data library, http://www.robhyndman.info/TSDL/. Accessed on 4 December 2006.

For detailed guidelines, click here.