Developments in Demographic Forecasting

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
Main Author: Mazzuco, Stefano
Other Authors: Keilman, Nico
Format: eBook
Language:English
Published: Springer Nature 2020
Series:The Springer Series on Demographic Methods and Population Analysis
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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.
Item Description:Creative Commons (cc), by/4.0/, http://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (258 p.)
ISBN:978-3-030-42472-5