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oapen-20.500.12657-231012024-03-22T19:23:38Z Old and New Perspectives on Mortality Forecasting Bengtsson, Tommy Keilman, Nico Social sciences Demography Population Statistics thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBD Population and demography thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCP Political economy This open access book describes methods of mortality forecasting and discusses possible improvements. It contains a selection of previously unpublished and published papers, which together provide a state-of-the-art overview of statistical approaches as well as behavioural and biological perspectives. The different parts of the book provide discussions of current practice, probabilistic forecasting, the linearity in the increase of life expectancy, causes of death, and the role of cohort factors. The key question in the book is whether it is possible to project future mortality accurately, and if so, what is the best approach. This makes the book a valuable read to demographers, pension planners, actuaries, and all those interested and/or working in modelling and forecasting mortality. 2020-03-18 13:36:15 2020-04-01T09:03:35Z 2020-04-01T09:03:35Z 2019 book 1007057 http://library.oapen.org/handle/20.500.12657/23101 eng Demographic Research Monographs application/pdf n/a 1007057.pdf https://www.springer.com/9783030050757 Springer Nature 10.1007/978-3-030-05075-7 10.1007/978-3-030-05075-7 6c6992af-b843-4f46-859c-f6e9998e40d5 349 Cham open access
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This open access book describes methods of mortality forecasting and discusses possible improvements. It contains a selection of previously unpublished and published papers, which together provide a state-of-the-art overview of statistical approaches as well as behavioural and biological perspectives. The different parts of the book provide discussions of current practice, probabilistic forecasting, the linearity in the increase of life expectancy, causes of death, and the role of cohort factors. The key question in the book is whether it is possible to project future mortality accurately, and if so, what is the best approach. This makes the book a valuable read to demographers, pension planners, actuaries, and all those interested and/or working in modelling and forecasting mortality.
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