Australian Bureau of Statistics
8695.0 - Accommodation Services, Australia, 2006-07 Quality Declaration
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 25/06/2008
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TECHNICAL NOTE: COLLECTION DESIGN AND ESTIMATION
2 In order to decrease the statistical reporting load placed on providers while maintaining the range and quality of information available to users of statistical data, the strategy for this survey was to adopt the use of directly collected data from a smaller sample of businesses, in combination with information sourced from the ATO. The frame (from which the direct collect sample was selected) was stratified using information held on the ABS Business Register. Businesses eligible for selection in the direct collect sample were then selected from the frame using stratified random sampling techniques.
3 Non-employing businesses were selected to participate in the survey (i.e. the direct collect sample) only if they met a threshold level of activity. The threshold was set for the ANZSIC class so that the contribution of non-employing businesses, combined with all employing businesses accounted for 97.5% of total turnover as determined by ATO Business Activity Statement data. For the 2006-07 survey, the threshold was $228,000 in turnover for ANZSIC Class 4400 Accommodation.
4 Estimates in this publication are presented only for the population of businesses above the turnover threshold, using data directly collected by the ABS from businesses mainly engaged in providing accommodation services. During processing of the survey, businesses no longer in operation or found to be incorrectly coded to ANZSIC Class 4400 Accommodation were detected and the estimates adjusted accordingly. Estimates for the population of businesses below the turnover threshold are not included in this publication.
5 Estimates from previous iterations of this survey were produced using number raised estimation methodology. The 2006-07 survey used generalised regression estimation. Generalised regression estimation enables maximum use of observed linear relationships between data directly collected from businesses in the survey and auxiliary information. When the auxiliary information is strongly correlated with data items collected in a survey, the generalised regression estimation methodology will improve the accuracy of the estimates. The auxiliary variables used in this survey were turnover and wages sourced from ATO Business Activity Statement data.
6 To maximise consistency and coherence with the 2006-07 estimates, the 2003-04 estimates presented in Table 1 have been revised to account for the changes in collection design and estimation methodology described above.
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This page last updated 24 June 2008