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Evaluation of the Australian Wage Subsidy Special Youth ...

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155<br />

5.5.2 Univariate examination <strong>of</strong> sample reduction<br />

Table 5.2 gives a univariate analysis <strong>of</strong> <strong>the</strong> differences between <strong>the</strong> characteristics <strong>of</strong> <strong>the</strong><br />

final sample and those who are lost from <strong>the</strong> sample. This expands <strong>the</strong> information<br />

provided in Table 1 <strong>of</strong> Richardson (1998) by including <strong>the</strong> t-test <strong>of</strong> statistical significance<br />

for <strong>the</strong> difference between <strong>the</strong> mean <strong>of</strong> <strong>the</strong> remaining sample and those lost. Column 1<br />

shows <strong>the</strong> mean for <strong>the</strong> final sample, and corresponds to column 1 <strong>of</strong> Table 1, Richardson<br />

(1998). Allowing for rounding, <strong>the</strong> means are identical to those presented in Richardson.<br />

This is seen as a check that <strong>the</strong> final data matches that <strong>of</strong> Richardson (1998). The second<br />

column gives <strong>the</strong> standard deviation. Column 3 gives <strong>the</strong> mean <strong>of</strong> those lost from <strong>the</strong><br />

sample, with column 4 <strong>the</strong> standard deviation. The absolute difference in <strong>the</strong> mean is<br />

given in <strong>the</strong> fifth column, with <strong>the</strong> t statistic in <strong>the</strong> sixth column. The t test <strong>of</strong> <strong>the</strong><br />

hypo<strong>the</strong>sis that <strong>the</strong> difference in <strong>the</strong> means is zero, accommodating unequal variance in<br />

<strong>the</strong> samples, is shown in column 6, with significance levels <strong>of</strong> 10 per cent, 5 per cent and<br />

1 per cent indicated with 1, 2 and 3 stars in each case. A number <strong>of</strong> outcome and<br />

regressor variables are shown. Most <strong>of</strong> <strong>the</strong>se are useful variables in <strong>the</strong> modelling <strong>of</strong><br />

employment outcomes. All <strong>the</strong> variables are identified using <strong>the</strong> 1984 survey data, except<br />

‘ever employed in 1986’, and ‘ever on a government programme in 1986’, <strong>the</strong> first <strong>of</strong><br />

which is a dependent variable for analysis. SYETP participation is an important variable<br />

that is an outcome defined in <strong>the</strong> 1984 survey.<br />

Table 5.2 compares those remaining in <strong>the</strong> final sample to all those lost from <strong>the</strong> final<br />

sample. It is important to note that this does not differentiate between those cases lost due<br />

to non-response at surveys in 1985, 1986 and those cases dropped in <strong>the</strong> analytical<br />

selection process. The aim <strong>of</strong> initially examining <strong>the</strong> effect <strong>of</strong> sample loss on <strong>the</strong> means<br />

observed is not affected by this combination. The different sources <strong>of</strong> sample loss are<br />

subsequently dealt with separately in <strong>the</strong> fur<strong>the</strong>r analysis <strong>of</strong> attrition.<br />

The two variables ‘ever employed in 1986’, and ‘ever on a government programme in<br />

1986’ suffer from <strong>the</strong> ‘selection by survival’ problem. The parts <strong>of</strong> <strong>the</strong> sample lost due to

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