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TECHNICAL NOTE ESTIMATION METHODOLOGY
4 For the purpose of compiling the estimates in this publication, data for businesses as recorded on the ABS Business Register (ABSBR) contributed via one of three categories (or 'streams') in accordance with significance and collection-related characteristics.
Completely enumerated (CE) stream
5 The CE stream consisted of directly collected survey data for those units recorded on the ABSBR as having employment of at least 300, plus additional economically significant units and units significant to small state estimates.
Generalised regression estimation stream
6 The generalised regression estimation stream comprised directly collected data for those sampled units which were not in the CE stream and had turnover, in aggregate, above the bottom 2.5 percentile of BAS sales for that subdivision, or were identified as employing businesses (based on ATO information).
Business Activity Statement (BAS) stream
7 The BAS stream comprised data for those non-employing businesses whose turnover, in aggregate, was below the bottom 2.5 percentile of BAS sales for that ANZSIC subdivision.
8 Data for the BAS steam was produced using a technique that used BAS turnover to model income from sales of goods and services and BAS non-capitalised purchases to model purchases. The modelling parameters were based on the relationship between BAS data and reported data for small businesses in the direct collect sample over 3 years and were defined at the industry level. Wages and salaries were modelled as 0 since these businesses were non-employers. Employment was based on the business type of (legal) structure.
9 Estimates for each of the selected industries were produced by aggregating the contributing data streams.
STATE AND TERRITORY ESTIMATES
10 For further information on the method used to compile state and territory estimates refer to Technical Note: State and Territory Estimates in this issue.
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