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Table of contents

  1. Front Matter
    Pages i-xi
  2. Tommy Bengtsson, Nico Keilman, Juha M. Alho, Kaare Christensen, Edward Palmer, James W. Vaupel
    Pages 1-19 Open Access
  3. Part I

  4. Part II

    1. Front Matter
      Pages 93-93
    2. Nico Keilman
      Pages 95-111 Open Access
    3. Maarten Alders, Joop de Beer
      Pages 123-143 Open Access
    4. Shripad Tuljapurkar
      Pages 145-155 Open Access
  5. Part III

  6. Part IV

  7. Part V

About this book

Introduction

This open access book describes methods of mortality forecasting and discusses possible improvements.  It contains a selection of previously unpublished and published papers, which together provide a state-of-the-art overview of statistical approaches as well as behavioural and biological perspectives.  The different parts of the book provide discussions of current practice, probabilistic forecasting, the linearity in the increase of life expectancy, causes of death, and the role of cohort factors. The key question in the book is whether it is possible to project future mortality accurately, and if so, what is the best approach. This makes the book a valuable read to demographers, pension planners, actuaries, and all those interested and/or working in modelling and forecasting mortality."

Keywords

open access Mortality forecast Longevity and life expectancy Cause of death Forecast accuracy Models for projecting mortality SCOPE Approach Probabilistic modeling Demography Population health Extrapolation

Editors and affiliations

  • Tommy Bengtsson
    • 1
  • Nico Keilman
    • 2
  1. 1.Centre for Economic DemographyLund UniversityLundSweden
  2. 2.Department of EconomicsUniversity of OsloOsloNorway

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-05075-7
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2019
  • License CC BY
  • Publisher Name Springer, Cham
  • eBook Packages Social Sciences
  • Print ISBN 978-3-030-05074-0
  • Online ISBN 978-3-030-05075-7
  • Series Print ISSN 1613-5520
  • Series Online ISSN 2197-9286
  • Buy this book on publisher's site