Table 7 Results of binary Probit regression analysis.

From: The impact of intergenerational support on multidimensional poverty in old age: empirical analysis based on 2018 CLHLS data

Variable

Model 1

Model 2

Multidimensional poverty

Multidimensional poverty

Economic support

0.001 (0.226)

0.001 (0.253)

Care support (Yes = 1)

0.017 (0.345)

0.018 (0.367)

Emotional support (Yes = 1)

−0.143*** (−3.078)

−0.135*** (−2.893)

Social security

−0.051 (−0.764)

−0.047 (−0.706)

Gender (Male = 1)

−0.131*** (−3.565)

−0.134*** (−3.652)

Age

−0.011 (−0.471)

−0.008 (−0.338)

Square of age

0.000 (0.563)

0.000 (0.438)

Marital status

(With spouse = 1)

−0.180*** (−3.630)

−0.173*** (−3.479)

Household registration (Urban = 1)

−0.188*** (−4.393)

−0.166*** (−3.843)

Total number of children

−0.020 (−1.132)

−0.025 (−1.375)

Number of boys

0.008 (0.245)

0.008 (0.263)

Proportion of boys

−0.083 (−0.736)

−0.086 (−0.761)

Total household income

−0.035*** (−4.846)

−0.034*** (−4.801)

Number of people living together

−0.012 (−1.320)

−0.017* (−1.913)

Region

 

−0.134*** (−3.779)

Intercept

0.167 (0.165)

0.104 (0.103)

Likelihood ratio test

χ2 (14) = 136.935, p = 0.000

χ2 (15) = 151.213, p = 0.000

Hosmer-Lemeshow test

χ2 (8) = 9.715, p = 0.286

χ2 (8) = 8.375, p = 0.398

  1. Source: Author’s Estimates using Data from 2018 CLHLS.
  2. Note: *, **, and *** indicate that the explanatory variable coefficients are significant at the 10%, 5%, and 1% levels, respectively.