furthering the use of administrative data in sub-annual financial statistics international...
TRANSCRIPT
Furthering the use of administrative data in sub-annual financial statistics
International Association for Official Statistics Conference
Da Nang, Viet Nam,
October 2014
Introduction
Format of todays presentation• Setting the scene• Introduction to GST in New Zealand• Approach to maximising GST administrative data use• Trial outputs• Key lessons and future directions
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Background
Statistics 2020 vision: “to transform the collection and production of statistics”. Administrative data will be the first source of information, supplemented where necessary by direct collection.
First stage in our economics area is to progress this vision for sub-annual financial collections.
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Quick introduction to GST
GST is a value added tax • ie -paid on difference between sales and
purchases
Paid on most goods and services traded in New Zealand
Very few exceptions, and confined to particular industries• Key exceptions are financial services,
residential rent, and donations
Current sub-annual indicators (1)
5Economic Survey of Manufacturing– March 2014
Current sub-annual indicators (2)
Wholesale Trade Survey – March 2014 6
Historic use of GST in sub-annual business collections
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Managed collection strategy
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Where does this line fit and how can the managed collection be maintained over time?
Managed Collection
Admin Data (GST)
Key units
Variables
Proposed
Maximising administrative data use
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Data assessment
User needs and fitness for use
GST reporting structures
Conceptual alignment
Reporting frequency
Timeliness
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Methodology optionsCan we use the GST data directly within our output?• Direct unmodified approach• Direct transformed approach
Can the GST data be used in conjunction with other data?• Combined sources approach
Is GST unfit for statistical use?• Collect data from other sources (such as a postal
collection run by Statistics NZ is required)
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Trial outputs (1)
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Trial outputs (2)
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Trial outputs (3)
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Trial outputs (4)Quarterly Manufacturing Survey – Total Manufacturing sales compared to our new methods
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Managed Collection
Key units
Variables
Proposed
What can we do if the variable of interest is not available in admin datasets?
Admin Data
Develop methods and strategies for
producing stocks measures
Summary and key lessons
We are now building these methods into producing our latest outputs internally.
To be integrated into our future sub-annual designs starting mid next year.
Strength of our organisations relationship with Inland Revenue is critical to ongoing success.
The path to using more administrative data is full of challenges (and not just data challenges).
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Questions
Contact detailsNicholas Cox, [email protected]
Mathew Page, [email protected]
Statistics New Zealand, Christchurch
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