人口研究 ›› 2023, Vol. 47 ›› Issue (3): 108-120.

• 人口统计 • 上一篇    下一篇

不同受教育水平人群的无残损预期寿命——基于沙利文法的贝叶斯拓展

王晓军1,黄子航2,秦澄莹3   

  1. 王晓军1,中国人民大学应用统计科学研究中心、统计学院教授;黄子航2(通讯作者),中国人民大学统计学院博士研究生;秦澄莹3,中国人民大学统计学院硕士研究生。
  • 出版日期:2023-05-29 发布日期:2023-05-29
  • 基金资助:
    *本文受到教育部哲学社会科学研究重大课题攻关项目“健康中国2030背景下的健康老龄化体系优化研究”(20JZD023)的支持。

Impairment-free Life Expectancy for People with Different Educational Levels:Based on the Bayesian Extension of Sullivan's Method

Wang Xiaojun1,Huang Zihang2,Qin Chengying3   

  1. Wang Xiaojun1, Center for Applied Statistics and School of Statistics, Renmin University of China;Huang Zihang 2(Corresponding Author) and Qin Chengying3, School of Statistics, Renmin University of China.
  • Online:2023-05-29 Published:2023-05-29

摘要: 基于中国人口死亡率数据和中国健康与养老追踪调查(CHARLS)截面数据,利用沙利文法的贝叶斯拓展研究中国50岁及以上不同受教育水平人群的预期寿命、无残损预期寿命、残损生存期及其变动趋势。研究结果表明:受教育水平越高人群的预期寿命和无残损预期寿命越长;受教育水平越高人群的无残损预期寿命在预期寿命中的占比越高;在相同的受教育水平下,女性比男性活得更长,但女性的无残损预期寿命比男性更短、残损生存期更长;受教育水平的提高对低龄和男性人口身体功能的改善有更大的帮助;从时间趋势看,2013~2018年,中国50岁及以上人群的预期寿命增速超过无残损预期寿命增速,存在残损扩张现象。提高人群的受教育水平能有效减缓身体功能障碍的扩张速度。

关键词: 沙利文法, 贝叶斯拓展, 预期寿命, 无残损预期寿命, 残损扩张

Abstract: Based on the mortality data of the Chinese population and the cross-sectional health data from the China Health and Retirement Longitudinal Study, this paper uses the Bayesian extension method of Sullivan's method to study life expectancy, impairment-free life expectancy, and their changes over time among people aged 50 and over with different education levels. The results show that the higher the education level, the longer the life expectancy and the longer the impairment-free life expectancy. The higher the education level, the higher the proportion of impairment-free life expectancy in life expectancy. At the same level of education, women live longer than men, but they have shorter impairment-free life expectancy and longer impairment survival than men of the same age; Higher levels of education have a greater effect on physical function in younger age groups and in men; From 2013 to 2018, the growth rate of life expectancy for people aged 50 years and above exceeded that of impairment-free life expectancy, and there was a phenomenon of impairment expansion. Improving the education level of the population can effectively slow down the expansion rate of physical dysfunction.

Keywords: Sullivan's Method, Bayesian Extension, Life Expectancy, Impairment-free Life Expectancy, Impairment Expansion