6354.0 - Job Vacancies, Australia, Nov 2017
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 10/01/2018
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NOVEMBER KEY FIGURES
NOVEMBER KEY POINTS
TREATMENT OF SURVEY OUTLIERS
Surprise outliering has previously been used as the sole methodology to identify and reduce the impact of a business whose weighted survey response is an outlier (i.e. significantly different to businesses in a group with similar characteristics, based on employment size, state and industry). Surprise outliering involves treating the identified outlier as if it were the only extreme unit in the group's population. The outlier is given a weight of one and the weights of the other unit in the group are adjusted upwards accordingly. From the November 2017 issue, winsorisation methodology has been introduced as the primary method to treat outliers in JVS. Winsorisation moderates the impact of an outlier business without the harsh impact of the surprise outliering approach. Surprise outliering will continue to be used for a small number of extreme values that may not be sufficiently moderated by the winsorisation method. There was no significant impact on the estimates from the change in methodology.
Estimates of percentage change shown in this release have been calculated using unrounded estimates, and may be different from, but are more accurate than, movements obtained from calculating percentage change using the rounded estimates presented in the Tables and the datacubes on the Downloads tab.
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