15 December 2015

In aging, one size does not fit all

New IIASA research provides a suite of measurements that could replace conventional measures of age, supporting smarter policies for retirement and health care.

© Silent 47 Images | Dreamstime.com

© Silent 47 Images | Dreamstime.com

Conventional measures of age usually define people as “old” at one chronological age, often 65. In many countries around the world, age 65 is used as a cutoff for everything from pension age to health care systems, as the basis of a demographic measure known as the “old-age dependency ratio,” which defines everyone over 65 as depending on the population between ages 20 and 65.

In new study in the journal Population and Development Review, IIASA researchers Warren Sanderson and Sergei Scherbov provide new measures to replace the old-age dependency ratio.

 “There are better measures available for every aspect of population aging to which it is applied,” says Sanderson. “Aging is a suite of multidimensional phenomena. In this study we deal with a number of aspects of aging and show that better measures exist for all of them.”

Previous research by the team has shown that defining people as “old” at age 65 no longer fits the real-world data, as people live longer, healthier lives around the world. The new study pulls together a collection of demographic methods that replace the old-age dependency ratio for a variety of purposes, providing more useful information for policymakers as well as demographic research.

For example, health care costs on average increase significantly for people in their last few years of life. Yet as people live longer, those last few years come later and later, and people may stay healthy well into their 60s and 70s. When projections of future health care costs use age 65 as the cutoff, they may massively overestimate future costs to a health care system. The new study therefore proposes a health-care specific calculation that takes into account the postponement of deaths that occur because of the increase in life expectancy.

The old-age dependency ratio is also based in part on traditional retirement age being around 65. But today, a growing number of people over 65 are still working, and in response to increased life expectancy, many countries have begun increasing their public pension ages. Yet increasing pension ages can be unfair to younger generations, who may work longer and get less retirement money than previous generations. The study includes a new proposal for an “intergenerationally equitable pension age,” in which each generation receives as much in pension payouts as they pay in, the average pension as a percentage of salary is the same for all generations, and the pension tax remains the same.

“There are many policy issues for which good estimates of the future consequences of aging are needed,” says Scherbov. “In some instances, the large exaggerations in the extent of aging produced by the conventional measures could lead to inappropriate policies.”

Further information and details on the new measures are available at: www.reaging.org/indicators

Reference
Sanderson W, Scherbov S (2015). Are we overly dependent on conventional dependency ratios? Population and Development Review. 41(4): 687–708. 15 December 2015. http://onlinelibrary.wiley.com/doi/10.1111/j.1728-4457.2015.00091.x/abstract

Rethinking Population Aging: The Re-Aging Project

This study was supported by the European Research Council-funded project Reassessing Aging from a Population Perspective (Re-Aging), which is developing new approaches to the study of age and aging that are appropriate for 21st century conditions.



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Last edited: 15 December 2015

CONTACT DETAILS

Warren Sanderson

Institute Scholar

World Population

Young Scientists Summer Program

T +43(0) 2236 807 252

Sergei Scherbov

Deputy Program Director

World Population

T +43(0) 2236 807 584

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Forever young? New measures of aging take the characteristics of people into account, not just their chronological age.

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