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            Developments in Demographic Forecasting

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            Contributor(s)
            Mazzuco, Stefano (editor)
            Keilman, Nico (editor)
            Language
            English
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            Abstract
            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.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/178377
            Keywords
            Demography; Statistics for Social Sciences, Humanities, Law; Population and Demography; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy; Population forecasting; Fertility; Mortality; Migration; Forecasting evaluation; Social Media data; Population statistics; Population modelling; Bayesian population models; Open access; Population & demography; Social research & statistics; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBD Population and demography; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
            DOI
            10.1007/978-3-030-42472-5
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            2020
            Imprint
            Springer
            Series
            The Springer Series on Demographic Methods and Population Analysis,
            Pages
            258
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            Credits


            • logo Investir l'avenirInvestir l'avenir
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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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