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Evaluation of the Australian Wage Subsidy Special Youth ...

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250<br />

(1.75)<br />

Country town before aged 14 -0.47<br />

(3.16)**<br />

Rural area before aged 14 -0.52<br />

(1.97)*<br />

Overseas before aged 14 -0.43<br />

(0.84)<br />

Constant 0.09<br />

(0.15)<br />

Observations 1389<br />

Log likelihood -341.55<br />

LR chi 2 (27) 167 80.04<br />

Mcfadden’s Pseudo R 2 168<br />

0.1029<br />

Akaike Information Criterion 0.53<br />

Robust z-statistics in paren<strong>the</strong>ses* significant at 5%; ** significant at 1%<br />

167 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 />

168<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 />

(M full ) to a model with just <strong>the</strong> intercept (M intercept ). It is defined as R 2 = 1 – (log likelihood M full / log<br />

likelihood M intercept ) . The value <strong>of</strong> Mcfadden’s Pseudo R 2 increases as new variables are added.

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