Advances in Mortality Forecasting
Genus welcomes submissions to the thematic series on 'Advances in Mortality Forecasting'.
Within the field of mortality forecasting, various advances have taken place in recent years. These advances began with the development of extensions and alternatives for the Lee-Carter model, including, for example, the functional data approach. Additional important advances include the further development of coherent or multi-population forecasting methods, which ensure that forecasts based on extrapolations do not lead to divergent outcomes. Another important advancement has been the inclusion of epidemiological evidence in the mortality forecast, and the development of different approaches to do so. In addition, we have recently witnessed the use of different measures beyond age-specific mortality rates for the mortality forecast. In all this, it has become the golden standard to do probabilistic mortality forecasting and to validate the model used for mortality forecasting by means of in-sample forecasting.
This thematic series on “Advances in Mortality Forecasting” will deal with these recent advances in mortality forecasting, and is particularly interested in contributions dealing with coherent mortality forecasting and including additional epidemiological information in mortality. In addition, we welcome papers from professionals in the field that address important research questions that arise when dealing with mortality forecasts on a more regular basis. This call is also open to submissions, however, that go beyond the previously discussed themes as long as they discuss recent advances in mortality forecasting.
Before submitting your manuscript, please ensure you have carefully read the submission guidelines for Genus. The complete manuscript should be submitted through the Genus submission system. To ensure that you submit to the correct thematic series please select the appropriate thematic series in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the thematic series on 'Advances in mortality forecasting'. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Please include an abstract of max 250 words that includes the following sub-headings: background, objective, data & methods, results, and conclusion. The journal does not impose a strict word limit for the completed manuscript.
Deadline for submissions: 28 March 2018
Fanny Janssen, Population Research Centre - Faculty of Spatial Sciences - University of Groningen, Netherlands.
Netherlands Interdisciplinary Demographic Institute - The Hague - the Netherlands email@example.com
- Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
- High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
- No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
- Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed
For editorial enquiries please contact firstname.lastname@example.org.
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2016 Journal Metrics
- ISSN: 2035-5556