Evaluation of the Australian Wage Subsidy Special Youth ...

213
(0.76)
Tradesperson mtrad 0.20
(0.46)
Manager/professional/para-professional mmpp -0.31
(1.10)
Not employed mnemp -0.12
(0.57)
Mother post-school qualification when resp 14 mpsq 0.22
Religion brought up in (1.26)
Catholic cath -0.01
(0.05)
Presbyterian pres 0.31
(1.29)
Methodist meth 0.29
(1.19)
Other Christian othx 0.06
(0.21)
Other religion othrel 0.14
(0.56)
No religion norel 0.16
(0.84)
Constant Constant 0.44
(0.65)
Observations Observations 1283
Log likelihood -303.41
Wald chi 2 (59) 148 131.99
Mcfadden’s Pseudo R 2 149 0.1572
Akaike Information Criterion 0.56
Coefficient with robust t statistics in parentheses * significant at 5%; ** significant at 1%
Weighted with the combination weights developed in Chapter 5.
148 This is the likelihood ratio test of the hypothesis that all coefficients except the intercept are equal to
zero. It is defined as LR = 2 (log likelihood M full – 2 log likelihood M intercept ). The degrees of freedom of this
chi squared distributed statistic are equal to the number of constrained parameters i.e. the number of
coefficients being tested.
149 This measure of fit is also known as the likelihood ratio index. It compares the full model of parameters
(M full ) to a model with just the intercept (M intercept ). It is defined as R 2 = 1 – (log likelihood M full / log
likelihood M intercept ) . The value of Mcfadden’s Pseudo R 2 increases as new variables are added.