Page 373 - Contributed Paper Session (CPS) - Volume 2

CPS1888 Chen C. et al.
Figure 3 – sales activity in Kaikoura

4. Current Work
Following the realisation of an administrative data first approach in the
quarterly financial statistics, we are currently redeveloping our quarterly
labour demand statistics. Stats NZ’s Quarterly Employment Survey (QES)
produces a range of employment information, including filled jobs, earnings,
and paid hours. At present it is a sample survey of employing businesses in
New Zealand.
In the new QES design, we are applying similar thinking to leverage off
the existing methods and systems described for quarterly financial statistics
in section 2. This includes:
• Expanding the variables in the managed collection to collect
employment data from large and complex businesses. For the remaining
employing businesses, we will use EMS data from IRD.

• Assessing the conceptual alignment of EMS earnings information with
salaries and wages data in our annual financial collection.
• Measuring variables not in the EMS data, such as paid hours and full-
time and part-time employee counts

5. Conclusion
Stats NZ has developed an administrative data first approach for the
production of economic statistics. This has resulted in a new design for our
quarterly financial collections. A range of methodologies was developed to
maximise the use of administrative data.
The new approach has created great efficiency in our existing outputs,
we have achieved significant reduction in response burden. The new
approach has also enabled us to create new financial indicators for most
industries in the economy, to support Stats NZ’s key developments. And the

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