25 February 2019 - 26 February 2019
Traditionally, the United Nations and most researchers have used measures and indicators that are mostly or entirely based on people’s chronological ages. This approach provides a simple, clear and easily replicable way to compute various indicators of ageing. Over the last decade, a new approach to thinking about people’s age has been developed. This approach is multidimensional and recognizes that the health status, type and level of activity, productivity, and other socio-economic characteristics of people have changed significantly. These changes suggest the need to reconsider concepts of measuring ageing and old age. These considerations have led to the development of alternative concepts and measures of ageing, which provide a different picture of past, present and expected future dynamics/dimensions of population ageing.
The various approaches to understanding and measuring ageing have important implications for the design and implementation of national development policies and programs, and for the follow-up and review of internationally agreed development goals that are related to or are affected by population ageing. Specifically, the different ways of measuring ageing affect the assessments of the evolution of the number of older persons, their living conditions, their contributions to the societies where they live and their needs for social protection. They have significant implications for labour markets, life-long education and health, and the interactions and mutual support of older persons with the younger generations.
Recognizing the diverse stages and characteristics of ageing in various regions of the world, as well as the recent developments and innovations in its measurement, the Population Division of the Department of Economic and Social Affairs (DESA) of the United Nations, the International Institute for Applied System Analysis (IIASA), and Chulalongkorn University, in collaboration with the Social Development Division of the Economic Commission for Asia and the Pacific (ESCAP), are organizing an international expert group meeting on “Measuring Population Ageing: Bridging Research and Policy”, to be held in Bangkok, Thailand, from 25 to 26 February 2019.
This expert meeting will seek to take stock of different concepts and methodologies, to assess their scope and limitations to support policy design, implementation and monitoring at the national, regional and global levels, including monitoring and review of ageing related Sustainable Development Goals. Experts from governmental and international organizations, from research institutions as well as civil society organizations will be invited to discuss the applicability of various measures of ageing in different contexts.
Title: United Nations Expert Group Meeting: “Measuring Population Ageing: Bridging Research and Policy”
Date: 25-26 February 2019
Location: Bangkok, Thailand
Fees: There are no participation fees, but the participants are expected to arrange and cover their own travel and accommodation expenses.
Registration: Registration is required.
This meeting is partly funded through the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement No 323947. Project Name: Reassessing Aging from a Population Perspective, Re-Ageing. The meeting is also partly funded by the Population Division of the United Nations.
Last edited: 07 November 2018
Reassessing Ageing from a Population Perspective (Re-Ageing)
Ediev D, Sanderson W, & Scherbov S (2018). The inverse relationship between life expectancy-induced changes in the old-age dependency ratio and the prospective old-age dependency ratio. Theoretical Population Biology DOI:10.1016/j.tpb.2018.10.001. (In Press)
Arpino B, Bordone V, & Scherbov S (2018). Smoking, education and the ability to predict own survival probabilities. Advances in Life Course Research 37: 23-30. DOI:10.1016/j.alcr.2018.06.001.
Aging Demographic Data Sheet
Analyzing Population Aging from a New Perspective
International Institute for Applied Systems Analysis (IIASA)
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