Skip to main content
. 2019 Jan 30;75(5):1042–1052. doi: 10.1093/geronb/gbz009

Table 3.

Logit and Linear Random-Effects Models Predicting Money Received From Grandparent

Logit models (N = 1,633) Linear models (≥0) (n = 577)
Grandparents’ characteristics
 Age −0.25*** −0.31*** −0.03* −0.01
 Femalea −0.18 0.29 −0.26 −0.19
 Married and living with spouseb 0.21 0.18 0.08 0.02
 Some educationc 0.96 1.58* 0.01 0.11
 Occupation agriculturald −1.47 −2.22** 0.09 0.01
 Household income (logged value) 0.71** 1.09** 0.05 0.08
 Functional disability −0.12* −0.20* −0.02 −0.02
 Poorer self-rated health 0.16 0.50 0.02 0.01
 Number of paternal grandchildren aged 16 or below −0.44* −1.06*** 0.11* −0.01
Parents’ characteristics
 Age −0.07 0.00
 First-born son of grandparente 0.87* 0.22*
 First-born daughter of grandparente −0.55 −0.18
 Second or higher order son of grandparente 0.32 0.13*
 Junior-middle school or greaterf 0.34 −0.04
 Married and lives with spouseb −0.81 −0.18
 Number of children below 16 years 0.47 0.08
 Occupation in agricultured −0.45 −0.14
 Skipped-generation householdg 2.57*** 0.35***
 Three-generation householdg −0.28 0.20
 Money provided to grandparent 0.31*** 0.04*
 Age of youngest child 0.08 −0.01
Constant 9.89* 11.91* 7.19*** 6.36***
Sigma_u 5.11 7.31 0.98 0.82
Sigma_e —- 0.75 0.68
ICC 0.89 0.94 0.63 0.59
Log likelihood −782.53 −706.00
R 2 0.04 0.27

Note: Omitted groups are: amale. bnot married and living with spouse. cno education. dnonagricultural or never worked. esecond or higher order daughter (effect coded). fprimary school or less. gnot living with grandparent (effect coded). ICC = intraclass correlation.

*p < 0.05. **p < 0.01. ***p < 0.001.