Table 1 Details of different prediction models fitted to the master data predicting log weekly wage fixed and random effect parameters (to two significant figures) are reported together with overall residual variance of the model
Parameter | Model 1: 2-level random intercepts (individuals nested in SOC minor groups) | Model 2: 2-level random intercepts and age slopes (individuals nested in SOC minor groups) | Model 3: 3-level random intercepts (individuals nested in SOC unit groups nested in SOC minor groups) | Model 4: 3-level random intercepts and age slopes (individuals nested in SOC unit groups nested in SOC minor groups) |
|---|---|---|---|---|
Fixed effects # | ||||
Age (increments of one year) | 0.0064 | 0.0052 | 0.0063 | 0.005 |
Sex (female reference) | 0.31 | 0.33 | 0.26 | 0.27 |
Intercept | 5.00034 | 5.04 | 5.1 | 5.14 |
Random effects $ | ||||
Level - SOC minor | ||||
Intercept | 0.16 | 0.26 | 0.13 | 0.14 |
Slope (age) | 0.00003 | 0.0 | ||
Level - SOC unit | ||||
Intercept | 0.05 | 0.1 | ||
Slope (age) | 0.00003 | |||
Residual (variance) | 0.31 | 0.31 | 0.29 | 0.28 |
N (for all models) | 251,537 | |||