Developments in demographic forecasting /

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Bibliographic Details
Imprint:Cham : Springer, 2020.
Description:1 online resource (261 pages)
Language:English
Series:The Springer Series on Demographic Methods and Population Analysis Ser., 1389-6784 ; v. 49
Springer series on demographic methods and population analysis ; v. 49.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12415266
Hidden Bibliographic Details
Other authors / contributors:Mazzuco, Stefano.
Keilman, Nico.
ISBN:9783030424725
3030424723
3030424715
9783030424718
Notes:Open access.
Print version record.
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.
Other form:Print version: Mazzuco, Stefano. Developments in Demographic Forecasting. Cham : Springer International Publishing AG, ©2020 9783030424718
Standard no.:10.1007/978-3-030-42472-5