Table A3

Multilevel logistic regressions explaining non-formal education attendance

M0M3M4M5M6M7M8
Log-oddsS.EO.RLog-oddsS.EO.RLog-oddsS.EO.RLog-oddsS.EO.RLog-oddsS.EO.RLog-oddsS.EO.RLog-oddsS.EO.R
Fixed part
Gender = female0.22***0.011.240.22***0.011.240.22***0.011.250.22***0.011.240.22***0.011.250.22***0.011.240.22***0.011.25
Age = 25 to 34−0.32***0.010.73−0.32***0.010.72−0.31***0.010.74−0.32***0.010.73−0.3***0.010.74−0.32***0.010.72−0.31***0.010.74
Age = 35 to 49−0.34***0.010.71−0.34***0.010.71−0.33***0.010.72−0.34***0.010.71−0.32***0.010.72−0.34***0.010.71−0.33***0.010.72
Age = 50 to 64−0.46***0.010.63−0.46***0.010.63−0.45***0.010.64−0.46***0.010.63−0.44***0.010.64−0.46***0.010.63−0.45***0.010.64
Age = 65+−0.83***0.020.44−0.84***0.020.43−0.83***0.020.44−0.83***0.020.44−0.82***0.020.44−0.84***0.020.43−0.83***0.020.44
Level of education = Upper secondary0.47***0.011.600.48***0.011.610.47***0.011.600.47***0.011.600.47***0.011.600.47***0.011.600.47***0.011.60
Level of education = Tertiary education0.94***0.012.550.95***0.012.570.94***0.012.570.93***0.012.540.93***0.012.540.94***0.012.550.94***0.012.55
Economic sector = Manufacturing0.2***0.021.220.22***0.021.240.2***0.021.220.2***0.021.220.19***0.021.210.2***0.021.230.19***0.021.21
Economic sector = Construction−0.06**0.020.94−0.040.020.96−0.06**0.020.94−0.06**0.020.95−0.07**0.020.93−0.06**0.020.94−0.07**0.020.93
Economic sector = Retail0.11***0.021.110.12***0.021.130.1***0.021.100.11***0.021.110.09***0.021.100.11***0.021.120.09***0.021.10
Economic sector = Logistics0.19***0.021.210.21***0.021.230.19***0.021.210.19***0.021.210.18***0.021.200.19***0.021.210.18***0.021.20
Economic sector = Hospitality−0.15***0.020.86−0.14***0.020.87−0.16***0.020.85−0.15***0.020.86−0.17***0.020.85−0.15***0.020.86−0.17***0.020.85
Economic sector = Business services0.37***0.021.440.39***0.021.470.37***0.021.440.37***0.021.440.36***0.021.430.37***0.021.450.36***0.021.43
Economic sector = Public services0.49***0.021.630.51***0.021.660.49***0.021.640.49***0.021.630.48***0.021.620.49***0.021.630.48***0.021.62
Economic sector = Other services0.21***0.021.230.23***0.021.260.21***0.021.230.21***0.021.230.2***0.021.220.21***0.021.240.2***0.021.22
Automation risk = Medium−0.23***0.010.80−0.23***0,010.80−0.23***0.050.80−0.23***0.010.80−0.130.330.88−0.23***0.010.800.070.141.08
Automation risk = High−0.34***0.010.71−0.35***0.010.71−0.4***0.070.67−0.34***0.010.710.220.461.24−0.35***0.010.71−0.080.250.92
Spending on LMP as % of GDP (std)   0.39**0.151.480.38**0.141.47            
Aut. risk = Medium × LMP spending      00.051.00            
Aut. risk = High × LMP spending      0.060.071.07            
EPL regular contracts         −0.040.450.960.020.421.02      
Aut. risk = Medium × EPL reg            −0.040.130.96      
Aut. risk = High × EPL reg            −0.240.190.79      
EPL temporary contracts               0.250.221.280.320.211.37
Aut. risk = Medium × EPL temp                  −0.13*0.060.88
Aut. risk = High × EPL temp                  −0.120.10.89
Constant−2687***0.160.00−2834***0.150.00−2817***0.140.00−2586*1,0970.00−2728**1,0390.00−3264***0.530.00−3423***0.50.00
Random part
Level: country
Var (constant)0.600.18 0.490.14 0.430.13 0.590.17 0.530.16 0.620.18 0.540.16 
Covar (Aut. risk = Medium/constant)      0.020.03    0.030.04    0.040.03 
Var (Aut. risk = Medium)      0.050.02    0.050.02    0.040.01 
Covar (Aut. risk = High/constant)      0.050.05    0.070.05    0.090.06 
Covar (Aut. risk = High/ Aut. risk = Medium)      0.060.02    0.070.02    0.070.02 
Var (Aut. risk = High)      0.100.03    0.100.03    0.130.04 
Units: country23  23  23  23  23  23  23  
Units: individuals1,620,678  1,620,678  1,620,678  1,620,678  1,620,678  1,620,678  1,620,678  

Note(s): ***p < 0.001; **p < 0.01; *p < 0.05

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