Table of contents

  1. Front Matter
    Pages i-xiii
  2. Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel
    Pages 1-4 Open Access
  3. Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel
    Pages 5-10 Open Access
  4. Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel
    Pages 11-16 Open Access
  5. Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel
    Pages 17-27 Open Access
  6. Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel
    Pages 29-41 Open Access
  7. Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel
    Pages 43-67 Open Access
  8. Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel
    Pages 69-80 Open Access
  9. Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel
    Pages 81-97 Open Access
  10. Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel
    Pages 99-122 Open Access
  11. Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel
    Pages 123-138 Open Access
  12. Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel
    Pages 139-143 Open Access
  13. Back Matter
    Pages 145-169

About this book

Introduction

This book visualizes mortality dynamics in the Lexis diagram. While the standard approach of plotting death rates is also covered, the focus in this book is on the depiction of rates of mortality improvement over age and time. This rather novel approach offers a more intuitive understanding of the underlying dynamics, enabling readers to better understand whether period- or cohort-effects were instrumental for the development of mortality in a particular country. Besides maps for single countries, the book includes maps on the dynamics of selected causes of death in the United States, such as cardiovascular diseases or lung cancer. The book also features maps for age-specific contributions to the change in life expectancy, for cancer survival and for seasonality in mortality for selected causes of death in the United States. The book is accompanied by instructions on how to use the freely available R Software to produce these types of surface maps. Readers are encouraged to use the presented tools to visualize other demographic data or any event that can be measured by age and calendar time, allowing them to adapt the methods to their respective research interests. The intended audience is anyone who is interested in visualizing data by age and calendar time; no specialist knowledge is required.

This book is open access under a CC BY license. 

Keywords

Graphical analysis Mortality analysis Age-, period-, cohort-effects Rates of mortality improvement Life expectancy Open access

Authors and affiliations

  • Roland Rau
    • 1
  • Christina Bohk-Ewald
    • 2
  • Magdalena M. Muszyńska
    • 3
  • James W. Vaupel
    • 4
  1. 1.Faculty of Economic and Social SciencesUniversity of RostockRostockGermany
  2. 2.Max Planck Institute for Demographic ResearchRostockGermany
  3. 3.Collegium of Economic AnalysisWarsaw School of EconomicsWarsawPoland
  4. 4.Department of Public HealthUniversity of Southern DenmarkOdense CDenmark

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-64820-0
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Social Sciences
  • Print ISBN 978-3-319-64818-7
  • Online ISBN 978-3-319-64820-0
  • Series Print ISSN 1389-6784
  • Series Online ISSN 2215-1990
  • About this book