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Evaluation of the Australian Wage Subsidy Special Youth ...

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172<br />

5.6 Accounting for non-response and sample design<br />

In <strong>the</strong> analysis so far, only sample reduction subsequent to <strong>the</strong> 1984 survey has been<br />

considered. It is however pertinent to ensure that <strong>the</strong> survey design and initial nonresponse<br />

in <strong>the</strong> 1984 survey is also accounted for. As <strong>the</strong> application <strong>of</strong> weights is a key<br />

factor in <strong>the</strong> subsequent analysis, <strong>the</strong> survey weight is introduced here. Although <strong>the</strong>re is<br />

some disagreement about <strong>the</strong> quality and general applicability <strong>of</strong> survey weights, it is<br />

now generally accepted in <strong>the</strong> statistical community that <strong>the</strong> sampling design and nonresponse<br />

for a survey should be accounted for in order to obtain estimates that reference<br />

<strong>the</strong> population. As <strong>the</strong> ALS was not a simple random sample 115 , <strong>the</strong>n it is important that<br />

<strong>the</strong> survey weights are applied.<br />

There is a selection/response weight provided with <strong>the</strong> data 116 , which weights <strong>the</strong> 1984<br />

data back <strong>the</strong> population: persons aged 15-24 on 1 September 1984, registered with <strong>the</strong><br />

Commonwealth Employment Service <strong>of</strong>fices throughout Australia who were unemployed<br />

and seeking full-time work for three months or more at <strong>the</strong> time <strong>of</strong> selection, 30 June<br />

1984 117 . To construct <strong>the</strong> weight for non-response and selection provided with <strong>the</strong> data,<br />

administrative data was used to weight back to <strong>the</strong> population. The weight is complex,<br />

adjusting for unequal probability <strong>of</strong> selection, non-response using administrative data on<br />

specific categories, and benchmarking adjustment to known totals 118 to reduce <strong>the</strong><br />

standard errors and produce estimates comparable with o<strong>the</strong>r sources. Foreshadowing<br />

115 It was a stratified cluster sample. Those interested in <strong>the</strong> sample design details should refer to<br />

Kronenburg et al. (1985). Non-computerisation led to a number <strong>of</strong> issues in <strong>the</strong> ‘list’ sample which affected<br />

<strong>the</strong> sample design, as <strong>the</strong> records that made up <strong>the</strong> sample frame were in fact paper card records stored at<br />

each CES <strong>of</strong>fice. The key problem was double-counting and multiple registrations at several CES.<br />

Stratification was also not always straightforward – for <strong>the</strong> Nor<strong>the</strong>rn Territory, in Alice Springs almost all<br />

<strong>the</strong> unemployed youths were Aboriginal (716 <strong>of</strong> 886), a much different proportion to all o<strong>the</strong>r locations and<br />

so only those in Darwin were chosen to represent <strong>the</strong> Nor<strong>the</strong>rn Territory (Kronenburg et al. (1985): 7).<br />

116 The variable in 1984 is named ‘Weight1’.<br />

117 In fact, <strong>the</strong> sample was <strong>of</strong> 2 stages – (1) selection <strong>of</strong> CES <strong>of</strong>fices based on <strong>the</strong> persons aged 15-24 on 1<br />

September 1984, registered with <strong>the</strong> CES <strong>of</strong>fices throughout Australia who were unemployed and seeking<br />

full-time work for three months or more at 31 March. (2) samples <strong>of</strong> 50 persons [persons aged 15-24 on 1<br />

September 1984, registered with <strong>the</strong> CES <strong>of</strong>fices throughout Australia who were unemployed and seeking<br />

full-time work for three months or more] selected from each <strong>of</strong>fice on 30 June 1984. The March and June<br />

numbers in scope <strong>of</strong> <strong>the</strong> survey were different, leading to differing selection probabilities. (Mcrae et al.<br />

(1985): 23).<br />

118 The benchmark data came from CES population counts for each age*sex*duration <strong>of</strong> registration<br />

category within <strong>the</strong> geographic selection strata (Mcrae et al. (1985: 24).

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