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Evaluation of the Australian Wage Subsidy Special Youth ...

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234<br />

this is mostly because <strong>the</strong>re is no substantive selection to account for once weighted, as<br />

evidenced by <strong>the</strong> hypo<strong>the</strong>sis tests. This interpretation suggests that <strong>the</strong> sample attrition,<br />

which affected <strong>the</strong> pr<strong>of</strong>ile <strong>of</strong> characteristics including SYETP, may have acted as a form<br />

<strong>of</strong> selection that <strong>the</strong> bivariate probit incorporated via selection into <strong>the</strong> program. As<br />

section 5.6.1.1 showed, SYETP participation was associated with <strong>the</strong> data loss. As <strong>the</strong><br />

bivariate probit historically has been associated with applications where <strong>the</strong> data loss<br />

from non-response has been accounted for in this way, this is not unreasonable. The<br />

serious difficulties in obtaining an estimable specification for <strong>the</strong> bivariate probit are<br />

highlighted by <strong>the</strong> failure <strong>of</strong> estimation for each <strong>of</strong> <strong>the</strong> alternative unweighted<br />

specifications put forward. This indicates that <strong>the</strong> search for a suitable estimable<br />

specification amongst plausible alternatives can be arduous. This can be a difficulty for<br />

instrumental variables models, <strong>of</strong> which <strong>the</strong> Heckman bivariate probit is an example due<br />

to <strong>the</strong> use <strong>of</strong> <strong>the</strong> exclusion restriction.

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