Evaluation of the Australian Wage Subsidy Special Youth ...

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Table A2.0a Univariate probit for employment in 1986, as estimated in the bivariate
probit replication of Richardson (1998)
npjob18
Coefficient
(t stat)
Marginal
effects 170
syetp 0.59 0.13
(3.26)** (3.26)**
Gender=female -0.41 -0.12
(4.15)** (4.15)**
Married 1984 -0.10 -0.03
(0.51) (0.51)
Children 1984 -0.25 -0.08
(1.00) (1.00)
Children*female -1.25 -0.45
(3.84)** (3.84)**
Spouse employed 1984 0.57 0.13
(2.48)* (2.48)*
Aboriginal/Torres Strait Islander -0.34 -0.11
(1.48) (1.48)
Other ethnic minority -0.33 -0.10
State interviewed in 1984 (1.66) (1.66)
Victoria -0.05 -0.02
(0.44) (0.44)
Queensland -0.01 -0.00
(0.05) (0.05)
South Australia/Northern Territory -0.35 -0.11
(2.33)* (2.33)*
Western Australia/Tasmania -0.03 -0.01
(0.22) (0.22)
Education school overseas -0.05 -0.01
(0.16) (0.16)
Roman Catholic school -0.06 -0.02
(0.37) (0.37)
Private school 0.53 0.12
Highest qualification in 1984 (1.79) (1.79)
Degree/diploma 0.53 0.13
(3.41)** (3.41)**
Apprenticeship 0.42 0.10
(1.97)* (1.97)*
Other Post-School qualification 0.06 0.02
(0.35) (0.35)
Year 12 of school -0.00 -0.00
(0.01) (0.01)
Year 11 of school 0.41 0.10
(2.62)** (2.62)**
Year 9 of school or less -0.25 -0.08
(1.79) (1.79)
Longest job by 1984 none 0.02 0.01
(0.11) (0.11)
< 1 year 0.23 0.07
(1.79) (1.79)
170 Log likelihood for the probit gives Marginal effect is {δΦ (xb) / δx i }| x = µ , where Φ is the cumulative
standard normal, µ= mean.