Advances in mortality forecasting
Edited by: Fanny Janssen
Collection first published: 27 September 2018
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. Additional important advances include the further development of coherent or multi-population forecasting methods, 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. This collection explores these recent advances in mortality forecasting, particularly research dealing with coherent mortality forecasting and with including additional epidemiological information in mortality.
If the Sexual Revolution of the 1960s represented a turning point in the sexual behavior of young people, recent years have seen new and relevant change, spurred by mass media and the web propagating easygoing lifestyles, even in countries where such transformation seems to proceed at a slower pace. Information on sexual behavior is not easily collected since it is considered sensitive data. Researchers thus often employ special methodologies and ad hoc sample surveys on selected populations, such as high school and university students or medical patients.
Aims and scope
The journal has an interdisciplinary focus by publishing articles of “pure” demography and articles aiming to further a better knowledge of the interrelationship between demography and biological, social and economic phenomena, connected with the evolution of the population. GENUS promotes open dialogue across cultural, ideological and at times theoretical walls in the attempt to understand the complexities underlying population issues.
GENUS is published under the auspices of AISP - Italian Association for Population Studies.
Learn more about Genus
To find out more about Genus - Journal of Population Sciences, read the interview with Graziella Caselli published in the SpringerOpen blog.
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- ISSN: 2035-5556 (electronic)