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Evaluation of the Australian Wage Subsidy Special Youth ...

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25<br />

Table 1.3 collects toge<strong>the</strong>r some recent European employment effects found in evaluation<br />

<strong>of</strong> wage subsidies. The direction and significance <strong>of</strong> <strong>the</strong> estimated effect <strong>of</strong> <strong>the</strong> program<br />

is presented only, as <strong>the</strong> scope <strong>of</strong> this limited overview precludes reference to <strong>the</strong> details<br />

<strong>of</strong> <strong>the</strong> various programs, <strong>the</strong>ir targeting, and <strong>the</strong> empirical methods employed. As for <strong>the</strong><br />

reviews already summarized, <strong>the</strong>re is variation in <strong>the</strong> effects even when <strong>the</strong> size <strong>of</strong> <strong>the</strong><br />

effect is not considered. Some are not statistically significant, some are negative and<br />

o<strong>the</strong>rs are positive. Once more, <strong>the</strong> uncertainty remains <strong>of</strong> whe<strong>the</strong>r wage subsidies<br />

provide employment gains empirically.<br />

However, it is unlikely that any overview or literature review can account for <strong>the</strong><br />

extraordinary amount <strong>of</strong> variation that could be <strong>the</strong> source <strong>of</strong> <strong>the</strong>se varying evaluation<br />

results. A meta-analysis might generate some conclusions. Meta-analysis, in particular<br />

meta-regression analysis, has developed in <strong>the</strong> past two decades into one <strong>of</strong> <strong>the</strong> most<br />

important instruments for <strong>the</strong> syn<strong>the</strong>sis <strong>of</strong> quantified evaluation findings. In metaanalysis,<br />

<strong>the</strong> dependent variable is a standardized measure <strong>of</strong> effect estimated in each <strong>of</strong> a<br />

set <strong>of</strong> studies that is representative <strong>of</strong> a field <strong>of</strong> inquiry. This dependent variable may <strong>the</strong>n<br />

be used in two very different ways. One approach, which is dominant in medicine and<br />

psychology, focuses chiefly upon <strong>the</strong> derivation <strong>of</strong> an appropriately weighted average<br />

effect from <strong>the</strong> set <strong>of</strong> studies. Meta-analysis, in this approach, is employed to extract a<br />

superior estimate <strong>of</strong> what is regarded as <strong>the</strong> true effect. The o<strong>the</strong>r approach, which is<br />

more appropriate to economic evaluations, is primarily concerned with explaining <strong>the</strong><br />

nature and sources <strong>of</strong> <strong>the</strong> between-studies variation in <strong>the</strong> estimates. This variation is<br />

regarded as representing genuine heterogeneity in impacts. This would be <strong>the</strong> more<br />

appropriate analysis for generating conclusions in this context. Examples are Stanley and<br />

Jarrell (1998), who examined estimates <strong>of</strong> <strong>the</strong> gender pay gap in <strong>the</strong> USA, and<br />

Ashenfelter et al. (1999) who examined rates <strong>of</strong> return to schooling from several<br />

industrialised countries. Although a useful proposal for future research, a meta-analysis is<br />

however not within <strong>the</strong> range <strong>of</strong> this research.<br />

However, as <strong>the</strong> economic environment within a country can set up a unique context, <strong>the</strong><br />

<strong>the</strong>ory <strong>of</strong> wage subsidies does not predict that wage subsidies will work in all <strong>the</strong>se

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