From: Apprenticeship non-completion in Germany: a money matter?
 | HR | SE |
---|---|---|
\(W/W^{(l)}\) | 0.022\(***\) | (0.004) |
\(ln \text { }W^{(m)}\) | 0.618\(***\) | (0.059) |
Time | Â | Â |
(ref: (547–1000] days) |  |  |
   (0–60] | 144.807\(***\) | (57.156) |
   (60–121] | 27.609\(***\) | (9.923) |
   (121–212] | 2.289\(*\) | (0.841) |
   (212–425] | 7.326\(***\) | (2.419) |
   (425–547] | 1.142 | (0.476) |
Female | 0.349\(***\) | (0.094) |
high school diploma | Â | Â |
(ref: lowest track) | Â | Â |
   None | 1.340 | (0.492) |
   Intermediate track | 1.374 | (0.364) |
   Academic track | 0.983 | (0.408) |
Start. age | 1.990\(***\) | (0.114) |
Start. age sqr. | 0.985\(***\) | (0.001) |
Start. year | 1.188\(***\) | (0.005) |
Foreign | 1.105\(***\) | (0.031) |
Est. size | Â | Â |
(ref: 1–49 employees) |  |  |
   50–249 | 0.771 | (0.236) |
   250+ | 0.647 | (0.222) |
Est. age | 0.991\(***\) | (0.001) |
East Germany | 0.965 | (0.030) |
Industry | Â | Â |
(ref: Retail/wholesale/gastronomy) | Â | Â |
   Farming/fishing/forestry | 1.036 | (0.079) |
   Earths/food/textiles | 0.710\(***\) | (0.028) |
   Chemical/oil/metal | 0.581\(***\) | (0.023) |
   Electronics/vehicles/misc. prod. | 0.620\(***\) | (0.030) |
   Construction/water, energy supply | 0.803\(***\) | (0.032) |
   Logistics/Postal/Banking | 0.966 | (0.043) |
   Public/private services | 0.838\(***\) | (0.029) |
   Health/education | 1.295\(***\) | (0.038) |
   NGOs/culture/sports | 1.219\(***\) | (0.044) |
SDR | 0.698\(*\) | (0.119) |
MES | 1.291\(***\) | (0.058) |
\(u^{(l)}/u^{(m)}\) | 0.766\(***\) | (0.013) |
\(u^{(h)}/u^{(m)}\) | 1.430\(***\) | (0.087) |
Time\(\times W/W^{(l)}\) | Â | Â |
(ref: (547–1000] days) |  |  |
   (0–60] | 0.356\(***\) | (0.087) |
   (60–121] | 0.671 | (0.143) |
   (121–212] | 0.820 | (0.171) |
   (212–425] | 0.114\(***\) | (0.022) |
   (425–547] | 0.609\(*\) | (0.148) |
Female\(\times W/W^{(l)}\) | 2.128\(***\) | (0.297) |
High school diploma\(\times W/W^{(l)}\) | Â | Â |
(ref: lowest track) | Â | Â |
   None | 0.810 | (0.185) |
   Intermediate track | 0.811 | (0.128) |
   Academic track | 3.345\(***\) | (0.693) |
Est. size\(\times W/W^{(l)}\) | Â | Â |
(ref: 1–49 employees) |  |  |
   50–249 | 1.288 | (0.208) |
   250+ | 2.010\(***\) | (0.361) |
Time\(\times ln \text { }W^{(m)}\) | Â | Â |
(ref: (547–1000] days) |  |  |
   (0–60] | 0.332\(***\) | (0.030) |
   (60–121] | 0.525\(***\) | (0.042) |
   (121–212] | 0.894 | (0.073) |
   (212–425] | 0.721\(***\) | (0.053) |
   (425–547] | 1.005 | (0.093) |
Female\(\times ln \text { }W^{(m)}\) | 1.168\(*\) | (0.071) |
High school diploma\(\times ln \text { }W^{(m)}\) | Â | Â |
(ref: lowest track) | Â | Â |
   None | 0.923 | (0.077) |
   Intermediate track | 0.875\(*\) | (0.052) |
   Academic track | 0.810\(*\) | (0.074) |
Est. size\(\times ln \text { }W^{(m)}\) | Â | Â |
(ref: 1–49 employees) |  |  |
   50–249 | 1.005 | (0.070) |
   250+ | 0.999 | (0.081) |
Constant | 0.000\(***\) | (0.000) |
\(\theta\) | 0.118 | |
LR-test of \(\theta\) | 1536 | |
Log pseudolikelihood | − 171,247 | |
Wald test | 11,449 | |
AIC | 342,607 |