Cyclical component of unemployment rate × 10 | −0.038 (0.133) | −0.004 |
0.006 (0.011) | −0.783 |
Demand shock: |
0.007 |
|||
Inverse Mills ratio | 0.099 (0.147) | 7.073 |
||
Male | −0.116 |
0.140 |
−0.130 |
1.916 |
Age | −0.034 |
−0.008 |
−0.025 |
−0.159 |
Has tertiary education | 1.044 |
0.154 |
0.970 |
3.341 |
0.018 | 0.098 | 0.019 | 0.028 | |
Observations | 43,173,984 | 43,173,984 | 30,372,267 | 12,801,617 |
Estimation method | OLS | Probit | OLS | OLS |
Employment protection index | 0.022 |
Public expenditure for training as % of GDP | 0.045 |
Observations | 22 |
0.25 |
Cyclical component of unemployment rate × 10 | 0.018 |
−0.026 |
0.026 |
0.036 |
Demand shock: |
0.005 |
|||
Inverse Mills ratio | −0.127 |
−0.121 |
||
Observations | 32,998,703 | 32,998,703 | 30,372,367 | 2,626,336 |
Estimation method | OLS | Probit | OLS | OLS |
Males | 0.011 |
0.011 |
−0.002 0.006 |
Females | 0.018 |
0.030 |
0.011 |
Age 25–44 years | 0.015 |
0.026 |
0.015 |
Age 45–64 years | 0.015 |
0.038 |
0.015 |
Less-than-upper-secondary education | 0.002 (0.006) | 0.022 |
−0.007 (0.006) |
Upper secondary education | 0.011 |
0.009 (0.005) | 0.005 (0.005) |
Tertiary education | 0.039 |
0.042 |
0.034 |
Manufacturing | 0.011 (0.008) | ||
Private services | 0.023 |
||
Public services | 0.039 |
Cyclical component of unemployment rate × 10 | 0.021 |
0.007 (0.007) |
Inverse Mills ratio | −0.110 |
0.045 |
Observations | 1,518,752 | 639,964 |
Gender: male | −0.020 |
−0.030 |
Age × 10 | −0.005 |
−0.038 |
Upper secondary education | 0.008 |
0.212 |
Tertiary education | 0.058 |
1.301 |
Not employed | −0.029 |
0.645 |
Second quarter | −0.001 (0.004) | 0.038 (0.084) |
Third quarter | −0.028 |
−0.367 |
Fourth quarter | 0.003 (0.004) | 0.068 (0.083) |
Western and Central Europe | 0.051 |
1.342 |
Southern Europe | 0.018 |
0.660 |
Northern Europe | 0.123 |
1.783 |
Observations | 43,173,984 | 43,173,984 |
0.048 | 0.011 |
Participated in training | 43,173,984 | 0.066 | 0.248 |
Participated in training – employed | 30,372,367 | 0.079 | 0.271 |
Participated in training – not employed | 12,801,617 | 0.034 | 0.181 |
Training hours | 43,173,984 | 1.113 | 9.205 |
Training hours – employed | 30,372,367 | 1.090 | 7.664 |
Training hours – not employed | 12,801,617 | 1.170 | 12.100 |
Age (years) | 43,173,984 | 45.38 | 11.07 |
Male | 43,173,984 | 0.486 | 0.500 |
Has a tertiary education degree or higher | 43,173,984 | 0.249 | 0.432 |
Employed | 43,173,984 | 0.703 | 0.457 |
Unemployment rate – cyclical component | 1,620 | 0 | 1.128 |
Unemployment rate – trend | 1,620 | 0.092 | 0.041 |
Employment rate – cyclical component | 1,620 | 0 | 0.994 |
Employment rate – trend | 1,620 | 0.643 | 0.059 |
Cyclical component of unemployment rate × 10 | 0.015 |
−0.038 |
0.024 |
0.006 (0.005) |
Demand shock: |
0.007 |
|||
Inverse Mills ratio | −0.108 |
0.051 |
||
Male gender | −0.015 |
0.140 |
−0.045 |
0.006 |
Age | −0.001 |
−0.008 |
0.001 |
−0.003 |
Has tertiary education | 0.058 |
0.154 |
0.036 |
0.052 |
0.076 | 0.098 | 0.077 | 0.062 | |
Observations | 43,173,984 | 43,173,984 | 30,372,267 | 12,801,617 |
Estimation method | OLS | Probit | OLS | OLS |
Cyclical component of unemployment rate × 10 | 0.024 |
0.006 (0.005) | 0.017 |
0.010 |
Inverse Mills ratio | −0.108 |
0.055 |
||
Observations | 30,372,267 | 12,801,617 | 30,372,267 | 12,801,617 |
Estimation method | OLS | OLS | OLS | OLS |
Cyclical component of unemployment rate × 10 | 0.015 |
−0.006 |
0.019 |
0.005 (0.005) |
Demand shock: |
0.004 |
|||
Inverse Mills ratio | −0.062 |
0.086 |
||
Male | −0.015 |
0.145 |
−0.035 |
0.015 |
Age | −0.001 |
−0.010 |
0.001 |
−0.002 |
Has tertiary education | 0.058 |
0.126 |
0.048 |
0.052 |
0.076 | 0.098 | 0.077 | 0.062 | |
Observations | 43,173,984 | 43,173,984 | 30,372,267 | 12,801,617 |
Estimation method | OLS | Probit | OLS | OLS |