Can parent-child living together improve the well-being of the elderly? A study based on CLHLS data

JIANG Kezhong1 CHEN Youhua1

(1.School of Social and Behavioral Sciences, Nanjing University, Nanjing Jiangsu, China 210046)

【Abstract】This paper uses the data of Chinese Longitudinal Healthy Longevity survey 2008 and Maddala’s treatment effects model to conduct empirical study of the effect of parent-child living mode on the subjective well-being of the elderly. In general, parent-child living together significantly contributes to active subjective well-being of the elderly, and helps restrain the negative side, and restrains the subjective negative well-being of the elderly. At the same time, the health status, marital status, abilities to perform ADLs (activities of daily living), and living standard all have also remarkably improve the mental status of the elderly; the pension and medical insurance can significantly improve the subjective well-being of the elderly; the traditional “son preference” and “more sons more happiness” is challenged. Based on the background of family scale, structure and stability transformation of Chinese families, in order to improve the welfare of the elderly, it requires the government not only to strengthen the social security, but also take measures to continue and expand the family security functions.

【Keywords】 living mode; psychological health; treatment effect model;

【DOI】

【Funds】 Project of National Natural Science Foundation of China (71173100) Project of National Social Science Foundation of China (11AZD025) Major Project of Key Research Base of Humanities and Social Sciences of Ministry of Education of China (14JJD840007) Project of Postdoctoral Science Foundation of China (2015M571720)

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(Translated by HE Lin)

    Footnote

    [1]. (1) The null hypothesis of the LR test is that the coefficients of association of the error items in both the regression formula and the selection formula are 0. LR test refers to the comparison between the independent Probit model targeting the selection formula and the joint likelihood value of the regression model targeting the observed data against the likelihood value of the treatment effect model. [^Back]

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This Article

ISSN:1004-129X

CN: 22-1017/C

Vol 38, No. 06, Pages 77-86

November 2016

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Article Outline

Abstract

  • 1 Introduction
  • 2 Research methods
  • 3 Empirical study
  • 4 Conclusion
  • Footnote

    References