ASSUMPTIONS UNDERPINNING THE MODEL
The modelling methodology used to create the experimental estimates presented in this publication is based on the following assumptions:
- Where a unit factor has been applied for a particular EAS unit, the assumption is the unit's EAS and QBIS data is comparable and their QBIS data accurately reflects quarterly changes in their activity.
- It is valid to only adjust the data reported by businesses with an employment size of 20 or more for off-June reporting. Smaller businesses were excluded as they are relatively minor contributors to the off-June reporting issue.
- Where subdivision factors have been applied, businesses with an employment size of 20 or more, that report for a given off-June financial period, and are in the same ANZSIC subdivision, are assumed to face similar trading conditions throughout the year.
- The relationship between EAS data items and QBIS data items is meaningful and consistent. In assessing this it is important to note that:
- There are some scope differences between the businesses included in each survey, the largest of these being that government owned or controlled Public Non-Financial Corporations are excluded from QBIS but included in EAS.
- QBIS and EAS both take their frame from the ABSBR, which is updated quarterly. This leads to minor differences in the businesses available for survey selection between EAS and QBIS, specifically the September, December and March quarterly frames used for QBIS differ from the annual frame used by EAS.
- Some data item concepts vary slightly between QBIS and EAS, however where data items correlate, derived factors from QBIS were applied to the EAS data items.
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