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The Springer Series on Demographic Methods and Population Analysis
cover
Open Access This content is freely available online to anyone, anywhere at any time.

Developments in Demographic Forecasting

Editors: Mazzuco, Stefano, Keilman, Nico (Eds.)

  • This open access book covers forecasting models for mortality, fertility, and migration
  • Provides new methods of population forecasting
  • Data and codes available for selected chapters
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  • ISBN 978-3-030-42472-5
  • The ebook is not yet available online.
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  • Due: August 12, 2020
  • ISBN 978-3-030-42471-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
About this book

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.

About the authors

Stefano Mazzuco is an Associate Professor in Demography at the Department of Statistical Sciences in the University of Padova, teaching both Demography and Statistics. He has also been a member of the PhD School in Statistics Board. He he has collaborated with the World Health Organisation (WHO) on the field of health inequality and its costs. He also has research interests in mortality pattern modelling, mainly focusing on age of death distribution modelling.

Nico Keilman is Professor of Demography at the Department of Economics, University of Oslo. He has taught Demography, Statistics, and Econometrics and has held research positions at Statistics Netherlands, the Netherlands Interdisciplinary Demographic Institute, and Statistics Norway. He has more than forty years of research experience in the fields of population forecasting, modelling marriage and household dynamics, and mathematical demography. He was the editor of Demographic Research (2006-2011), and is member of the editorial boards of European Studies of Population, Population (Paris) and Demografie (Praha).

Buy this book

eBook  
  • ISBN 978-3-030-42472-5
  • The ebook is not yet available online.
Hardcover $59.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: August 12, 2020
  • ISBN 978-3-030-42471-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
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Bibliographic Information

Bibliographic Information
Book Title
Developments in Demographic Forecasting
Editors
  • Stefano Mazzuco
  • Nico Keilman
Series Title
The Springer Series on Demographic Methods and Population Analysis
Series Volume
49
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s)
eBook ISBN
978-3-030-42472-5
DOI
10.1007/978-3-030-42472-5
Hardcover ISBN
978-3-030-42471-8
Series ISSN
1389-6784
Edition Number
1
Number of Pages
VI, 260
Number of Illustrations
86 b/w illustrations
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.