Developments in demographic forecasting / / edited by Stefano Mazzuco, Nico Keilman.

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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Superior document:The Springer Series on Demographic Methods and Population Analysis ; 49
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Place / Publishing House:Cham : : Springer International Publishing :, Imprint: Springer,, 2020.
Year of Publication:2020
Edition:First edition, 2020.
Language:English
Series:The Springer Series on Demographic Methods and Population Analysis ; 49
Physical Description:1 online resource (viii, 258 pages) :; illustrations; digital, PDF file(s).
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490 1 |a The Springer Series on Demographic Methods and Population Analysis ;  |v 49 
505 0 |a Chapter 1. Introduction­ -- Chapter 2. Stochastic population forecasting: A Bayesian approach based on evaluation by experts -- Chapter 3. Using expert elicitation to build long-term projection assumptions -- Chapter 4. Post-Transitional Demography and Convergence: What can we Learn from Half a Century of World Population Prospects? -- Chapter 5. Projecting Proportionate Age–Specific Fertility Rates via Bayesian Skewed Processes -- Chapter 6. A Three-component Approach to Model and Forecast Age-at-death Distributions -- Chapter 7. Alternative forecasts of Danish life expectancy -- Chapter 8. Coherent mortality forecasting with standards: low mortality serves as a guide -- Chapter 9. European mortality forecasts: Are the targets still moving? -- Chapter 10. Bayesian disaggregated forecasts: Internal migration in Iceland -- Chapter 11. Forecasting origin-destination-age-sex migration flow tables with multiplicative components -- Chapter 12. New Approaches to the Conceptualization and Measurement of Age and Ageing. 
520 |a 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. 
530 |a Also available in print form. 
588 |a Description based on publisher supplied metadata and other sources. 
546 |a English 
650 0 |a Demography. 
650 0 |a Statistics . 
650 1 4 |a Demography. 
650 2 4 |a Statistics for Social Sciences, Humanities, Law. 
653 |a Demography 
653 |a Statistics for Social Sciences, Humanities, Law 
653 |a Population and Demography 
653 |a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 
653 |a Population forecasting 
653 |a Fertility 
653 |a Mortality 
653 |a Migration 
653 |a Forecasting evaluation 
653 |a Social Media data 
653 |a Population statistics 
653 |a Population modelling 
653 |a Bayesian population models 
653 |a Open access 
653 |a Population & demography 
653 |a Social research & statistics 
776 0 8 |i Print version:  |z 9783030424718 
700 1 |a Mazzuco, Stefano.  |e editor. 
700 1 |a Keilman, Nico.  |e editor. 
830 0 |a The Springer Series on Demographic Methods and Population Analysis ;  |v 49 
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