ASSUMPTIONS UNDERPINNING THE MODEL
The modelling methodology used to create the experimental estimates presented in this publication is based on the following assumptions:
- 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 not expected to face the same trading conditions as the large businesses from which off-June modelling factors have been derived, and are relatively minor contributors to the off-June reporting problem.
- businesses with an employment size of 20 or more, that report for a given off-June financial period and are within the same ANZSIC subdivision face similar trading conditions throughout the year, justifying the use of adjustment factors for each data item that have been derived at the subdivision level.
- 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, because 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, although every effort has been made to create factors from QBIS data items that are correlated with the items they are used to adjust in EAS.
- There are some minor differences in the way data are processed between EAS and QBIS.
- the QBIS data used to produce off-June adjustment factors is of high quality.
- the industry coding on the ABSBR is accurate.
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