Skip to main content
. 2019 Jan 23;35(5):987–1021. doi: 10.1007/s10680-018-09515-8

Table 6.

Odds ratios from multilevel logistic regression predicting a modern division of labour

Model 1 Model 2
Individual-level variables
 Age (ref = 18–29)
  26–30 0.76** 0.78*
  31–35 0.63*** 0.65***
  36–40 0.66*** 0.69***
  41–45 0.63*** 0.67***
  46–50 0.58*** 0.62***
  51–55 0.45*** 0.47***
 Religiosity (ref = almost never)
 Attends frequently 0.81*** 0.82***
 Attends infrequently 0.77*** 0.77***
 Attendance missing 0.87 0.89
 Education 1.16*** 1.16***
 Residence (ref = rural) 1.09 1.09
 Gender (ref = female) 1.67*** 1.68***
 Child in household 0.35*** 2.56
 Constant
Country-level variables
 Global Gender Gap Index (GGG) 42.54 197.14*
 Gross national product per capita (GNP) 0.97 1.05
 Paid parental leave 0.99* 0.99
 Fathers’ quota 1.23 1.08
Cross-level interactions
 GGG*child in hh 0.13*
 GNP*child in hh 0.88***
 Paid parental leave*child in hh 1.00
 Fathers’ quota* child in hh 1.26*
_cons 0.07 0.01**
/lnsig2u − 1.17 − 1.21
sigma_u 0.56 0.55
rho 0.09 0.08
LR test of rho = 0: chibar2(01) =  681.53*** 655.24***
Log likelihood =  − 7856.51 − 7823.31
n, individuals 13,404 13,404
n, countries 35 35

p ≤ 0.10; *p ≤ 0.05; **p ≤ 0.01; ***p ≤ 0.00