Developments in demographic forecasting / Stefano Mazzuco, Nico Keilman, editors

This open access book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration. For each component emerging methods to forecast them are presented. Moreover, instruments for forecasting evaluation are provided. Bayesian models, nonparametric...

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Bibliographic Details
Other Authors: Mazzuco, Stefano, Keilman, Nico
Format: eBook
Language:English
Published: Cham : Springer, 2020.
Series:Springer series on demographic methods and population analysis ; v. 49.
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Online Access:Click for online access
Description
Summary:This open access book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration. For each component emerging methods to forecast them are presented. Moreover, instruments for forecasting evaluation are provided. Bayesian models, nonparametric models, cohort approaches, elicitation of expert opinion, evaluation of probabilistic forecasts are some of the topics covered in the book. In addition, the book is accompanied by complementary material on the web allowing readers to practice with some of the ideas exposed in the book. Readers are encouraged to use this material to apply the new methods to their own data. The book is an important read for demographers, applied statisticians, as well as other social scientists interested or active in the field of population forecasting. Professional population forecasters in statistical agencies will find useful new ideas in various chapters.
Physical Description:1 online resource (261 pages)
ISBN:9783030424725
3030424723
ISSN:1389-6784 ;
Access:Open access.
Open Access
Source of Description, Etc. Note:Print version record.