Abstract
The measurement of human longevity is one of the oldest topics in demography. The most widely used measure of longevity is the period life expectancy at birth which is calculated from age specific death rates by life table methods that originated with Graunt (1661) and have been standard in the field for well over a century. Period life expectancy equals the mean age at death in a synthetic cohort and it should be distinguished from the actual cohort life expectancies calculated for a group of individuals observed over long time periods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bongaarts, J. and Feeney, G. Estimating mean lifetime. In this volume, also published in Proceedings of the National Academy of Sciences, 100(23):13127–13133. 2003.
Bongaarts, J. and Feeney, G. The quantum and tempo of life cycle events. In this volume, also published in Vienna Yearbook of Population Research, pages 115–151. 2006.
Bongaarts, J. and Feeney, G. (1998). On the quantum and tempo of fertility. Population and Development Review, 24(2):271–291.
Bongaarts, J. and Feeney, G. (2002). How long do we live? Population and Development Review, 28(1):13–29.
Feeney, G. (2003). Mortality tempo: a guide for the skeptic. to be downloaded from http://www.gfeeney.com. unpublished manuscript.
Kohler, H. P. and Ortega, J. A. (2002a). Tempo-adjusted period parity progression measures, fertility postponement and completed cohort fertility. Demographic Research, 6:92–144. www.demographic-research.org.
Kohler, H. P. and Ortega, J. A. (2002b). Tempo-adjusted period parity progression measures: Assessing the implications of delayed childbearing for cohort fertility in Sweden, the Netherlands and Spain. Demographic Research, 6:146–190. www.demographic-research.org.
Ryder, N. B. (1956). Problems of trend determination during a transition in fertility. Milbank Memorial Fund Quarterly, 34:5–21.
Ryder, N. B. (1959). An appraisal of fertility trends in the United States. In Thirty Years of Research in Human Fertility: Retrospect and Prospect. 38–49. Milbank Memorial Fund, New York.
Ryder, N. B. (1964). The process of demographic translation. Demography, 1:74–82.
Ryder, N. B. (1980). Components of temporal variations in American fertility. In Hiorns, R. W., editor, Demographic Patterns in Developed Societies, pages 15–54. Taylor & Francis, London.
Sobotka, T. (2003). Tempo-quantum and period-cohort interplay in fertility changes in Europe. Evidence from the Chech Republic, Italy, the Netherlands and Sweden. Demographic Research, 8:152–214.
Sobotka, T. (2004). Is Lowest-Low Fertility in Europe Explained by the Postponement of Childbearing? Population and Development Review, 30(2):195–220.
Winkler-Dworak, M. and Engelhardt, H. (2004). On the tempo and quantum of first marriages in Austria, Germany, and Switzerland. Demographic Research, 10(9):231–263.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Max Planck Institute for Demographic Research, Rostock
About this chapter
Cite this chapter
Barbi, E. (2008). How long do we live? Demographic models and reflections on tempo effects: An introduction. In: Barbi, E., Vaupel, J.W., Bongaarts, J. (eds) How Long Do We Live?. Demographic Research Monographs. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78520-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-540-78520-0_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78519-4
Online ISBN: 978-3-540-78520-0
eBook Packages: Humanities, Social Sciences and LawSocial Sciences (R0)