Measuring the compression of mortality
AbstractCompression of mortality is measured here in four ways: (1) by standard deviation of the age at death above the mode; (2) by standard deviation of the age at death in the highest quartile; (3) by the inter-quartile range; and (4) by the shortest age interval in which a given proportion of deaths take place. The two first-mentioned are directed at old ages while the other two measure compression over the entire age range. The fourth alternative is recommended as the most suitable for general use and offers several variations, called the C-family of compression indicators. Applied to historical and modern populations, all four measures show convincingly that the secular transition from high to low mortality has been accompanied by general and massive compression of mortality. In recent decades, however, this development has come close to stagnation even when life expectancy continues to increase. This has happened at a level where compression is still so incomplete that the shortest age interval in which 90 percent of deaths occur, is more than 35 years. It seems unrealistic to expect human mortality ever to be compressed into so narrow an age interval that the survival curve would be even approximately rectangular. It is considered useful to monitor changes in the compression of mortality because the indicators describe relevant aspects of the length of life and may acquire new significance as indicators of population heterogeneity.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research.
Volume (Year): 3 (2000)
Issue (Month): 6 (September)
Contact details of provider:
Web page: http://www.demogr.mpg.de/
length of life; mortality; mortality analysis;
Find related papers by JEL classification:
- J1 - Labor and Demographic Economics - - Demographic Economics
- Z0 - Other Special Topics - - General
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Pierre Pestieau & Grégory Ponthiere, 2012. "On the Policy Implications of Changing Longevity," CESifo Working Paper Series 3926, CESifo Group Munich.
- Jean-Marie Robine & Siu Lan Karen Cheung & Shiro Horiuchi, 2010. "Arthur Roger Thatcher's contributions to longevity research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(18), pages 539-548, March.
- Nadine Ouellette & Robert Bourbeau, 2011. "Changes in the age-at-death distribution in four low mortality countries: A nonparametric approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(19), pages 595-628, September.
- Virginia Zarulli & Domantas Jasilionis & Dmitri A. Jdanov, 2012. "Changes in educational differentials in old-age mortality in Finland and Sweden between 1971-1975 and 1996-2000," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(19), pages 489-510, May.
- Shripad Tuljapurkar & Ryan D. Edwards, 2011.
"Variance in death and its implications for modeling and forecasting mortality,"
Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(21), pages 497-526, March.
- Shripad Tuljapurkar & Ryan D. Edwards, 2009. "Variance in Death and Its Implications for Modeling and Forecasting Mortality," NBER Working Papers 15288, National Bureau of Economic Research, Inc.
- Alyson Raalte & Hal Caswell, 2013. "Perturbation Analysis of Indices of Lifespan Variability," Demography, Springer, vol. 50(5), pages 1615-1640, October.
- Claudia Nau & Glenn Firebaugh, 2012. "A New Method for Determining Why Length of Life is More Unequal in Some Populations Than in Others," Demography, Springer, vol. 49(4), pages 1207-1230, November.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Editorial Office).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.