Table 2

Logistic regressions explaining non-formal education attendance (abridged)

VariablesM1M2M3M4M5M6M7M8
O.RS.EO.RS.EO.RS.EO.RS.EO.RS.EO.RS.EO.RS.EO.RS.E
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
Spending on LMP on training as percentage of GDP (st)  1.45**0.24      1.45**0.22    
Automation risk = Medium × LMP spending          0.970.03    
Automation risk = High × LMP spending          1.060.06    
EPL regular contracts    1.180.55      1.180.54  
Automation risk = Medium × EPL regular contracts            1.030.08  
Automation risk = High × EPL regular contracts            0.970.15  
EPL temporary contracts      1.60**0.36      1.56**0.33
Automation risk = Medium × EPL temporary contracts              1.000.03
Automation risk = High × EPL temporary contracts              1.120.09
CountryYes       Yes       
Automation risk × Country        Yes       
Control variablesYes Yes Yes Yes Yes Yes Yes Yes 
Constant0.09***0.010.05***0.020.04**0.050.02***0.010.10***0.010.05***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. Full models in Table A2 in the  Appendix

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