From: Apprenticeship non-completion in Germany: a money matter?
 | Model of Table 3, column 3 | Start before age 24 | Start before year 2006 | Start after year 2006 | Economic upturns\(^1\) | Economic downturns\(^1\) | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
HR | SE | HR | SE | HR | SE | HR | SE | HR | SE | HR | SE | |
\(W/W^{(l)}\) | 0.023\(***\) | (0.002) | 0.021\(***\) | (0.002) | 0.029\(***\) | (0.004) | 0.024\(***\) | (0.002) | 0.034\(***\) | (0.003) | 0.027\(***\) | (0.003) |
\(ln \text { }W^{(m)}\) | 0.456\(***\) | (0.028) | 0.448\(***\) | (0.028) | 0.469\(***\) | (0.044) | 0.484\(***\) | (0.040) | 0.381\(***\) | (0.029) | 0.692\(***\) | (0.067) |
Time | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
(ref: (547–1000] days) |  |  |  |  |  |  |  |  |  |  |  |  |
   (0–60] | 0.985 | (0.027) | 0.983 | (0.027) | 0.699\(***\) | (0.034) | 1.121\(**\) | (0.038) | 1.596\(***\) | (0.058) | 0.517\(***\) | (0.026) |
   (60–121] | 1.536\(***\) | (0.038) | 1.541\(***\) | (0.039) | 1.014 | (0.044) | 1.810\(***\) | (0.058) | 2.550\(***\) | (0.086) | 0.811\(***\) | (0.035) |
   (121–212] | 1.296\(***\) | (0.031) | 1.298\(***\) | (0.032) | 0.874\(**\) | (0.036) | 1.536\(***\) | (0.048) | 2.041\(***\) | (0.069) | 1.786\(***\) | (0.031) |
   (212–425] | 0.933\(**\) | (0.020) | 0.944\(**\) | (0.021) | 0.772\(***\) | (0.026) | 0.996 | (0.029) | 1.297\(***\) | (0.042) | 0.737\(***\) | (0.023) |
   (425–547] | 0.983 | (0.026) | 0.985 | (0.026) | 0.794\(***\) | (0.033) | 1.096\(**\) | (0.038) | 1.409\(***\) | (0.055) | 0.764\(***\) | (0.029) |
Female | 0.864\(***\) | (0.023) | 0.859\(***\) | (0.023) | 0.767\(***\) | (0.038) | 0.963 | (0.032) | 0.852\(***\) | (0.029) | 0.947 | (0.039) |
High school diploma | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
(ref: lowest track) | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
   None | 0.907\(***\) | (0.027) | 0.909\(***\) | (0.023) | 0.841\(***\) | (0.032) | 0.930\(*\) | (0.031) | 0.933\(*\) | (0.032) | 0.870\(***\) | (0.032) |
   Intermediate track | 0.733\(***\) | (0.013) | 0.738\(***\) | (0.013) | 0.749\(***\) | (0.022) | 0.733\(***\) | (0.016) | 0.744\(***\) | (0.017) | 0.739\(***\) | (0.020) |
   Academic track | 0.590\(***\) | (0.016) | 0.595\(***\) | (0.016) | 0.724\(***\) | (0.033) | 0.555\(***\) | (0.019) | 0.556\(***\) | (0.019) | 0.694\(***\) | (0.030) |
Start. age | 2.023\(***\) | (0.116) | 2.627\(***\) | (0.207) | 2.000\(***\) | (0.191) | 1.854\(***\) | (0.133) | 1.907\(***\) | (0.139) | 1.972\(***\) | (0.182) |
Start. age sqr. | 0.984\(***\) | (0.001) | 0.977\(***\) | (0.002) | 0.984\(***\) | (0.002) | 0.986\(***\) | (0.002) | 0.985\(***\) | (0.002) | 0.985\(***\) | (0.002) |
Start. year | 1.187\(***\) | (0.005) | 1.189\(***\) | (0.005) | 1.512\(***\) | (0.015) | 1.121\(***\) | (0.008) | 1.100\(***\) | (0.006) | 1.303\(***\) | (0.010) |
Foreign | 1.106\(***\) | (0.031) | 1.119\(***\) | (0.032) | 1.071 | (0.055) | 1.121\(**\) | (0.038) | 1.090\(*\) | (0.039) | 1.080 | (0.050) |
Est. size | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
(ref: 1–49 employees) |  |  |  |  |  |  |  |  |  |  |  |  |
   50–249 | 0.859\(***\) | (0.005) | 0.862\(***\) | (0.018) | 0.859\(***\) | (0.029) | 0.855\(***\) | (0.023) | 0.934\(***\) | (0.025) | 0.776\(***\) | (0.026) |
   250+ | 0.798\(***\) | (0.023) | 0.800\(***\) | (0.023) | 0.807\(***\) | (0.037) | 0.793\(***\) | (0.030) | 0.853\(***\) | (0.032) | 0.735\(***\) | (0.033) |
Est. age | 0.991\(***\) | (0.001) | 0.991\(***\) | (0.001) | 0.991\(***\) | (0.001) | 0.990\(***\) | (0.001) | 0.990\(***\) | (0.001) | 0.991\(***\) | (0.001) |
East Germany | 0.975 | (0.030) | 0.972 | (0.030) | 0.696\(***\) | (0.043) | 1.071 | (0.042) | 0.998 | (0.039) | 0.958 | (0.046) |
Industry | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
(ref: Retail/wholesale/gastronomy) | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
   Farming/fishing/forestry | 1.039 | (0.079) | 1.047 | (0.080) | 0.907 | (0.112) | 1.117 | (0.106) | 0.938 | (0.089) | 1.185 | (0.146) |
   Earths/food/textiles | 0.719\(***\) | (0.028) | 0.714\(***\) | (0.028) | 0.767\(***\) | (0.047) | 0.687\(***\) | (0.035) | 0.757\(***\) | (0.038) | 0.707\(***\) | (0.045) |
   Chemical/oil/metal | 0.581\(***\) | (0.023) | 0.576\(***\) | (0.023) | 0.551\(***\) | (0.036) | 0.582\(***\) | (0.029) | 0.576\(***\) | (0.030) | 0.581\(***\) | (0.035) |
   Electronics/vehicles/misc. prod. | 0.617\(***\) | (0.030) | 0.612\(***\) | (0.030) | 0.595\(***\) | (0.048) | 0.609\(***\) | (0.037) | 0.625\(***\) | (0.041) | 0.628\(***\) | (0.047) |
   Construction/water, energy supply | 0.815\(***\) | (0.032) | 0.822\(***\) | (0.033) | 0.828\(**\) | (0.053) | 0.775\(***\) | (0.039) | 0.836\(**\) | (0.044) | 0.765\(***\) | (0.047) |
   Logistics/Postal/Banking | 0.961 | (0.043) | 0.972 | (0.044) | 0.972 | (0.072) | 0.941 | (0.052) | 0.909 | (0.054) | 1.045 | (0.070) |
   Public/private services | 0.843\(***\) | (0.028) | 0.844\(***\) | (0.029) | 0.792\(***\) | (0.044) | 0.868\(**\) | (0.037) | 0.830\(***\) | (0.036) | 0.859\(**\) | (0.045) |
   Health/education | 1.309\(***\) | (0.038) | 1.297\(***\) | (0.038) | 1.097 | (0.053) | 1.487\(***\) | (0.053) | 1.220\(***\) | (0.046) | 1.398\(***\) | (0.063) |
   NGOs/culture/sports | 1.229\(***\) | (0.044) | 1.217\(***\) | (0.044) | 1.164\(*\) | (0.070) | 1.331\(***\) | (0.059) | 1.088 | (0.051) | 1.455\(***\) | (0.081) |
SDR | 0.728 | (0.123) | 0.720 | (0.125) | 0.013\(***\) | (0.007) | 1.173 | (0.218) | 0.941 | (0.176) | 1.772\(*\) | (0.476) |
MES | 1.286\(***\) | (0.058) | 1.285\(***\) | (0.059) | 1.283\(**\) | (0.098) | 1.324\(***\) | (0.074) | 1.332\(***\) | (0.075) | 1.228\(***\) | (0.091) |
\(u^{(l)}/u^{(m)}\) | 0.770\(***\) | (0.013) | 0.767\(***\) | (0.013) | 0.502\(***\) | (0.021) | 0.824\(***\) | (0.017) | 0.841\(***\) | (0.018) | 0.835\(***\) | (0.023) |
\(u^{(h)}/u^{(m)}\) | 1.438\(***\) | (0.087) | 1.447\(***\) | (0.089) | 1.331\(**\) | (0.134) | 1.111 | (0.098) | 1.558\(***\) | (0.121) | 1.098 | (0.105) |
Constant | 0.000\(***\) | (0.000) | 0.000\(***\) | (0.000) | 0.000\(***\) | (0.000) | 0.000\(***\) | (0.000) | 0.000\(***\) | (0.000) | 0.000\(***\) | (0.000) |
\(\theta\) | 0.115 | 0.120 | 0.205 | 0.098 | 0.083 | 0.171 | ||||||
LR-test of \(\theta\) | 1,509 | 1,500 | 873 | 743 | 506 | 775 | ||||||
Log pseudolikelihood | − 171,485 | − 167,376 | − 66,548 | − 104,393 | − 94,778 | − 74,157 | ||||||
Wald test | 10,821 | 10,821 | 4,300 | 6,186 | 5,840 | 4,915 | ||||||
AIC | 343,038 | 334,821 | 133,164 | 208,854 | 189,625 | 148,381 | ||||||
Observations | 641,921 | 631,465 | 296,318 | 345,603 | 253,124 | 388,797 | ||||||
Apprenticeships | 94,223 | 92,544 | 40,881 | 53,342 | 66,623 | 27,600 | ||||||
Non-completion | 19,697 | 19,211 | 7,412 | 12,285 | 11,584 | 8,113 |