Skip to main content

Table 2 Number of sons and daughters and their influence on life quality of elderly parents

From: Does the number of children matter to the happiness of their parents?

Variables

Health condition

Economic status

Living environment

Living pattern

 

R1

R2

R3

R4

R5

R6

R7

Self-assessment

Physical mobility

Self-assessment of relative economic status

Meat consumption

Flooring

Cooking energy

Living with children

Number of living sons

−.077*** (.026)

−.045* (.025)

−.033 (.031)

−.108** (.045)

−.119*** (.028)

−.307*** (.072)

.124 (.075)

Number of living daughters

−.057*** (.020)

.050*** (.005)

−.029 (.024)

−.009 (.033)

−.074*** (.022)

−.202*** (.054)

.101* (.057)

Personal characteristics of respondents

 Years of schooling

.017*** (.005)

.012** (.005)

.040*** (.007)

.018** (.009)

.025*** (.006)

.080*** (.015)

.027* (.015)

 Age

−.018*** (.003)

−.032*** (.003)

−.021*** (.004)

−.015*** (.005)

−.026*** (.004)

−.040*** (.009)

−.098*** (.010)

Party membership

.158** (.077)

.108 (.075)

.247*** (.093)

.200* (.118)

.059 (.084)

.201 (.215)

−.240 (.226)

Number of siblings

.001 (.011)

.014 (.011)

−.003 (.013)

.036** (.019)

−.011 (.012)

−.050 (.031)

−.043 (.032)

Mountainous areas

.111** (.055)

.060 (.053)

.091 (.066)

−.045 (.088)

.134** (.060)

−.825*** (.149)

−.677*** (.163)

Hilly areasa

−.116** (.059)

−.111** (.057)

.112 (.071)

.392*** (.103)

−.087 (.064)

−.736*** (.159)

−.029 (.162)

Intercept

4.378*** (.211)

6.261*** (.205)

3.904*** (.256)

4.785*** (.352)

4.748*** (.231)

3.450*** (.591)

5.032*** (.626)

Valid sample

1454

1454

1454

1454

1454

1454

1454

F-value

15.113***

27.183***

18.203***

7.752***

24.11***

229.768***

159.571***

R 2

.076

.128

.090

.077

.116

.192

.141

  1. Note: (1) Models R1, R2, R3, R4, and R5 are linear regression models; models R6 and R7 are binomial logistic regression; and the output reports for the goodness of fit is Nagelkerke R 2. (2) The number in brackets is the standard error of the estimate
  2. *p < 0.1; **p < 0.05; ***p < 0.01
  3. aWhen modeling, plain areas are set to the control group