Table A2

Logistic regressions explaining non-formal education attendance (full model results)

M1M2M3M4M5M6M7M8
O.RS.EO.RS.EO.RS.EO.RS.EO.RS.EO.RS.EO.RS.EO.RS.E
Gender = female1.26***0.111.24***0.091.24***0.091.24***0.091.27***0.111.24***0.091.24***0.091.24***0.09
Age = 25 to 340.71***0.060.67***0.080.62***0.080.61***0.080.72***0.060.67***0.080.62***0.080.61***0.08
Age = 35 to 490.70***0.060.65***0.090.59***0.080.58***0.080.71***0.060.65***0.090.59***0.080.57***0.08
Age = 50 to 640.62***0.050.59***0.060.55***0.060.54***0.060.63***0.050.59***0.060.55***0.060.54***0.06
Age = 65+0.42***0.030.39***0.030.36***0.040.37***0.040.42***0.030.39***0.030.36***0.040.37***0.04
Level of education = Upper secondary1.62***0.161.53***0.171.54***0.231.62***0.201.62***0.161.53***0.171.54***0.231.62***0.21
Level of education = Tertiary education2.66***0.322.56***0.342.63***0.452.65***0.372.68***0.322.55***0.342.63***0.462.65***0.37
Economic sector = Manufacturing1.25**0.111.47**0.281.71**0.441.76**0.401.23**0.111.45**0.271.70**0.441.77**0.39
Economic sector = Construction0.960.091.200.271.450.401.460.360.940.081.180.261.450.391.470.36
Economic sector = Retail1.130.091.39*0.261.64*0.431.62**0.351.110.081.37*0.241.63*0.431.63**0.35
Economic sector = Logistics1.24**0.111.59***0.281.84**0.461.83***0.401.22**0.111.56***0.271.84**0.461.84***0.39
Economic sector = Hospitality0.860.081.030.221.200.351.180.280.84*0.081.010.211.200.341.180.27
Economic sector = Business services1.49***0.142.03***0.462.43***0.742.44***0.651.46***0.141.99***0.442.43***0.742.46***0.64
Economic sector = Public services1.70***0.182.34***0.492.77***0.812.75***0.701.67***0.182.30***0.472.77***0.802.76***0.69
Economic sector = Other services1.26***0.101.68**0.372.00**0.621.96**0.521.24***0.091.65**0.351.99**0.611.97***0.52
Automation risk = Medium0.78***0.010.78***0.020.78***0.020.77***0.010.66***0.020.79***0.020.730.140.77***0.05
Automation risk = High0.69***0.030.65***0.040.66***0.040.65***0.030.58***0.030.62***0.040.710.260.50***0.09
Country = Belgium0.35***0.01      0.34***0.00      
Country = Czechia0.85***0.01      0.72***0.00      
Country = Germany0.42***0.00      0.44***0.00      
Country = Denmark2.24***0.02      1.52***0.01      
Country = Estonia0.94***0.01      1.06***0.01      
Country = Spain0.57***0.00      0.55***0.00      
Country = Finland1.73***0.01      1.56***0.01      
Country = France1.64***0.01      1.46***0.01      
Country = Greece0.17***0.00      0.16***0.00      
Country = Croatia0.07***0.00      0.07***0.00      
Country = Hungary0.52***0.00      0.42***0.00      
Country = Ireland0.16***0.00      0.14***0.00      
Country = Italy0.71***0.01      0.68***0.00      
Country = Lithuania0.36***0.00      0.39***0.00      
Country = Luxembourg1.29***0.02      1.21***0.01      
Country = Latvia0.36***0.00      0.40***0.00      
Country = The Netherlands0.990.01      0.81***0.00      
Country = Norway1.11***0.02      0.89***0.00      
Country = Portugal0.68***0.01      0.63***0.00      
Country = Romania0.08***0.00      0.06***0.00      
Country = Sweden2.16***0.03      1.78***0.00      
Country = Slovakia0.16***0.00      0.13***0.00      
Aut. risk = Medium × Belgium        1.10***0.01      
Aut. risk = Medium × Czechia        1.41***0.02      
Aut. risk = Medium × Germany        0.98**0.01      
Aut. risk = Medium × Denmark        1.71***0.01      
Aut. risk = Medium × Estonia        0.80***0.01      
Aut. risk = Medium × Spain        1.03***0.01      
Aut. risk = Medium × Finland        1.21***0.01      
Aut. risk = Medium × France        1.14***0,02      
Aut. risk = Medium × Greece        1.17***0.01      
Aut. risk = Medium × Croatia        0.93***0.01      
Aut. risk = Medium × Hungary        1.37***0.02      
Aut. risk = Medium × Ireland        1.13***0.02      
Aut. risk = Medium × Italy        1.10***0.01      
Aut. risk = Medium × Lithuania        0.89***0.01      
Aut. risk = Medium × Luxembourg        1.07***0.02      
Aut. risk = Medium × Latvia        0.82***0.01      
Aut. risk = Medium × The Netherlands        1.50***0.02      
Aut. risk = Medium × Norway        1.46***0.01      
Aut. risk = Medium × Portugal        1.19***0.04      
Aut. risk = Medium × Romania        1.49***0.02      
Aut. risk = Medium × Sweden        1.31***0.02      
Aut. risk = Medium × Slovakia        1.41***0.02      
Aut. risk = High × Belgium        0.90***0.01      
Aut. risk = High × Czechia        1.14***0.01      
Aut. risk = High × Germany        0.86***0.01      
Aut. risk = High × Denmark        2.16***0.06      
Aut. risk = High × Estonia        0.71***0.00      
Aut. risk = High × Spain        1.10***0.02      
Aut. risk = High × Finland        1.09***0.01      
Aut. risk = High × France        1.27***0.01      
Aut. risk = High × Greece        0.89***0.02      
Aut. risk = High × Croatia        1.57***0.02      
Aut. risk = High × Hungary        1.43***0.01      
Aut. risk = High × Ireland        1.25***0.01      
Aut. risk = High × Italy        1.020.01      
Aut. risk = High × Lithuania        0.68***0.01      
Aut. risk = High × Luxembourg        1.08***0.03      
Aut. risk = High × Latvia        0.80***0.01      
Aut. risk = High × The Netherlands        1.19***0.03      
Aut. risk = High × Norway        1.37***0.01      
Aut. risk = High × Portugal        1.010.04      
Aut. risk = High × Romania        1.14***0.03      
Aut. risk = High × Sweden        1.47***0.01      
Aut. risk = High × Slovakia        1.41***0.02      
Spending on LMP as % of GDP (standardised)  1.45**0.24      1.45**0.22    
Aut. risk = Medium × LMP spending          0.970.03    
Aut. risk = High × LMP spending          1.060.06    
EPL regular contracts    1.180.55      1.180.54  
EPL temporary contracts      1.60**0.36      1.56**0.33
Aut. risk = Medium × EPL regular contracts            1.030.08  
Aut. risk = High × EPL regular contracts            0.970.15  
Aut. risk = Medium × EPL temporary contracts              1.000.03
Aut. risk = High × EPL temporary contracts              1.120.09
Constant0.09***0.010.05***0.020.04**0.050.02***0.010.10***0.020.05***0.020.04***0.050.02***0.01
Observations1,620,678 1,620,678 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. Odds ratio’s reported. Standard errors clustered by country

[ViewLarge]
This Feature Is Available To Subscribers Only

or Create an Account

Close subscription notice
Close access options