Table 6 Generalized gamma regressions
From: How unemployment insurance savings accounts affect employment duration: evidence from Chile
Variable | T 1- Employment | T 2- Unemployment | T 3- Inactivity |
|---|---|---|---|
Acceleration parameters | |||
UISA | -0.349*** | -0.575*** | -0.625*** |
Female | 0.362*** | -0.375*** | -1.234*** |
Age | 0.006 | 0.013*** | -0.007 |
Temp. Contract | -0.966*** | -1.474*** | -1.095*** |
Education | |||
- High School | -0.103 | 0.194* | 0.254 |
- Prof. Formation | -0.280* | 0.616*** | -0.455 |
- Univ. and higher | -0.025 | 0.754*** | -0.712** |
Hours | -0.002 | -0.019*** | -0.014 |
Income | |||
- 100,000 CLP | 0.484* | -0.075 | -0.390 |
- 200,000 CLP | 0.811*** | 0.178 | 0.294 |
- 300,000 CLP | 0.980*** | 0.477 | 1.054 |
> 300,000 CLP | 0.903*** | 0.891** | 1.423* |
Household Size | 0.017 | 0.034* | 0.036 |
_cons | 3.163*** | 4.885*** | 7.109*** |
/ln_sig | 0 .497*** | 0.465*** | 0.820*** |
/kappa | -0.624*** | -0.209 | -0.410 |
sigma | 1.644 | 1.592 | 2.270 |
Log Likelihood | -1,913 | -1,817 | -876 |
AIC | 3,857 | 3,666 | 1,783 |
Wald Test Education | 0.362 | 0.001 | 0.003 |
Wald Test Income | 0.002 | 0.001 | 0.000 |
Employment Exit | 741 | 689 | 240 |
At Risk | 63,427 | 63,427 | 63,427 |
N | 2,006 | 2,006 | 2,006 |