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我们能从(和关于)全球老龄化学到什么?

What can we learn from (and about) global aging?

机构信息

Labor and Population, RAND Corporation, 1776 Main Street, Santa Monica, CA 90407, USA.

出版信息

Demography. 2010;47 Suppl(Suppl 1):S191-209. doi: 10.1353/dem.2010.0006.

Abstract

Although aging is a global phenomenon, there are large differences across countries in both the speed of aging and the current age composition. Furthermore, countries adopt vastly different policies. This creates a natural laboratory that scientists can use to understand how policies affect outcomes. I discuss under what circumstances data from different countries can be used for inference about policy effects. Although comparable health and retirement data are currently being collected in some 25 countries, the use of such data requires careful modeling of differences in institutions and in response styles across countries.

摘要

虽然老龄化是一个全球性现象,但在老龄化速度和当前年龄构成方面,各国之间存在着巨大差异。此外,各国采取的政策也大相径庭。这为科学家提供了一个天然的实验室,使他们能够了解政策如何影响结果。我讨论了在什么情况下可以使用来自不同国家的数据来推断政策效果。尽管目前约有 25 个国家正在收集可比的健康和退休数据,但此类数据的使用需要仔细建模各国之间的制度差异和应对方式的差异。

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