Coherent Mortality Forecasting with Standards: Low Mortality Serves as a Guide
Mortality forecasts are an important component of population forecasting and are central to the estimation of longevity risk in actuarial practice. Planning by the state for health and aged care services and by individuals for retirement and later life de
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Stefano Mazzuco Nico Keilman Editors
Developments in Demographic Forecasting
The Springer Series on Demographic Methods and Population Analysis Volume 49
Series Editor Kenneth C. Land, Dept of Sociology, SINET, Duke University, Durham, NC, USA
In recent decades, there has been a rapid development of demographic models and methods and an explosive growth in the range of applications of population analysis. This series seeks to provide a publication outlet both for high-quality textual and expository books on modern techniques of demographic analysis and for works that present exemplary applications of such techniques to various aspects of population analysis. Topics appropriate for the series include: • • • • • • • • • • •
General demographic methods Techniques of standardization Life table models and methods Multistate and multiregional life tables, analyses, and projections Demographic aspects of biostatistics and epidemiology Stable population theory and its extensions Methods of indirect estimation Stochastic population models Event history analysis, duration analysis, and hazard regression models Demographic projection methods and population forecasts Techniques of applied demographic analysis, regional and local population estimates and projections • Methods of estimation and projection for business and health care applications • Methods and estimates for unique populations such as schools and students Volumes in the series are of interest to researchers, professionals, and students in demography, sociology, economics, statistics, geography and regional science, public health and health care management, epidemiology, biostatistics, actuarial science, business, and related fields. Ideas and proposals for additional contributions to the series should be sent either to Kenneth C. Land, Series Editor, Department of Sociology and Center for Demographic Studies, Duke University, Durham, NC 27708-0088, USA E-mail: [email protected] or to Evelien Bakker,Publishing Editor, Social Sciences Unit, Springer,Van Godewijckstraat 30,P.O. Box 17,3300 AA Dordrecht, erlands, E-mail: evelien.bakker@ springer.com
More information about this series at http://www.springer.com/series/6449
Stefano Mazzuco • Nico Keilman Editors
Developments in Demographic Forecasting
Editors Stefano Mazzuco Department of Statistical Sciences University of Padova Padova, Padova, Italy
Nico Keilman Department of Economics University of Oslo Oslo, Norway
ISSN 1389-6784 ISSN 2215-1990 (electronic) The Springer Series on Demographic Methods and Population Analysis ISBN 978-3-030-42471-8 ISBN 978-3-030-42472-5 (eBook) https://doi.org/10.1007/978-3-030-42472-5 © The Editor(s) (if applicable) and The Author(s) 2020. This book is an open access publication. Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit
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