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Evaluation of the Australian Wage Subsidy Special Youth ...

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266<br />

Not employed -0.08 -0.02<br />

(0.41) (0.41)<br />

mo<strong>the</strong>r post-school qualification when resp 14 -0.04 -0.01<br />

Religion brought up in (0.27) (0.27)<br />

Catholic 0.36 0.10<br />

(2.85)** (2.85)**<br />

Presbyterian 0.49 0.11<br />

(2.35)* (2.35)*<br />

Methodist 0.15 0.04<br />

(0.84) (0.84)<br />

O<strong>the</strong>r Christian -0.08 -0.02<br />

(0.38) (0.38)<br />

O<strong>the</strong>r religion -0.03 -0.01<br />

(0.16) (0.16)<br />

No religion 0.35 0.09<br />

(2.11)* (2.11)*<br />

constant 1.16<br />

(3.65)**<br />

Observations 1283 1283<br />

Log likelihood -569.76<br />

LR chi 2 (59) 171 329.72<br />

Mcfadden’s Pseudo R 2 172 0.2244<br />

Akaike Information Criterion 0.98<br />

Absolute value <strong>of</strong> z statistics in paren<strong>the</strong>ses * significant at 5%; ** significant at 1%<br />

171 This is <strong>the</strong> likelihood ratio test <strong>of</strong> <strong>the</strong> hypo<strong>the</strong>sis that all coefficients except <strong>the</strong> intercept are equal to<br />

zero. It is defined as LR = 2 (log likelihood M full – 2 log likelihood M intercept ). The degrees <strong>of</strong> freedom <strong>of</strong> this<br />

chi squared distributed statistic are equal to <strong>the</strong> number <strong>of</strong> constrained parameters i.e. <strong>the</strong> number <strong>of</strong><br />

coefficients being tested.<br />

172<br />

This measure <strong>of</strong> fit is also known as <strong>the</strong> likelihood ratio index. It compares <strong>the</strong> full model <strong>of</strong> parameters<br />

(Mfull) to a model with just <strong>the</strong> intercept (Mintercept). It is defined as R2 = 1 – (log likelihood Mfull / log<br />

likelihood Mintercept). The value <strong>of</strong> Mcfadden’s Pseudo R2 increases as new variables are added.

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