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Evaluation of the Australian Wage Subsidy Special Youth ...

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7<br />

how <strong>the</strong> outcomes from <strong>the</strong>se methods changed according to <strong>the</strong> type <strong>of</strong> adjustment used<br />

to correct for data flaws; fourthly: what picture do <strong>the</strong> various outcomes present for <strong>the</strong><br />

working <strong>of</strong> <strong>the</strong> <strong>Australian</strong> SYETP. In overview, it is a sensitivity analysis <strong>of</strong> <strong>the</strong><br />

underlying methodological assumptions.<br />

Finally, it is useful in itself to examine <strong>the</strong> application <strong>of</strong> <strong>the</strong> various non-experimental<br />

methods as in this study. This is because in practice <strong>the</strong>y are frequently used for program<br />

evaluation. Although some experimental data may exist for programs, in general<br />

European and <strong>Australian</strong> evaluations need to rely on non-experimental data, from<br />

administrative or survey sources. The reasons for this situation are likely to be many and<br />

diverse. However it may be influential that non-experimental data are perceived to have<br />

fewer associated political difficulties– and this counteracts <strong>the</strong> issue that <strong>the</strong>re is no<br />

public consensus that it is humane to apply experimental methods to social policy<br />

programs. Instead, it is <strong>of</strong>ten true that <strong>the</strong> social policy is applied to all through law.<br />

Sometimes, a small ‘pilot’ <strong>of</strong> a program is run, for example <strong>the</strong> New Deal Pilots in <strong>the</strong><br />

UK at <strong>the</strong> moment. The administrative and survey data can supply information that might<br />

roughly give a treated and control group, but without <strong>the</strong> random assignment <strong>of</strong><br />

experimental design. Non-experimental data methods <strong>the</strong>n need to be applied to <strong>the</strong> data<br />

try to approximate <strong>the</strong> scientific experiment. However, even experimental data can<br />

require <strong>the</strong> application <strong>of</strong> non-experimental methods. Experiments <strong>of</strong> any type can be<br />

very difficult to implement once people are involved, and data difficulties arising from<br />

loss <strong>of</strong> subject contact and o<strong>the</strong>r problems require adjustment through non-experimental<br />

analysis methods – Heckman, Lalonde and Smith (1999) detail several examples.<br />

1.2 Brief summary <strong>of</strong> <strong>the</strong> <strong>the</strong>ory <strong>of</strong> wage subsidies<br />

This section outlines <strong>the</strong> main rationale for wage subsidy programs, and presents <strong>the</strong><br />

basic conceptual framework within which this is usually analysed.<br />

<strong>Wage</strong> subsidies can be general, i.e. covering any and all workers, or specific, i.e. targeted<br />

to a particular group. Hamermesh (1978) defined 3 types <strong>of</strong> wage subsidy which differ<br />

according to what part <strong>of</strong> <strong>the</strong> firm’s total employment is covered:

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