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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
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Furthering the use of administrative data in sub-annual financial statistics International Association for Official Statistics ConferenceDa 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
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.
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) Economic Survey of Manufacturing– March 2014
Current sub-annual indicators (2) Wholesale Trade Survey – March 2014
Managed collection strategy Proposed Managed Collection Key units Where does this line fit and how can the managed collection be maintained over time? Admin Data (GST) Variables
Data assessment • User needs and fitness for use • GST reporting structures • Conceptual alignment • Reporting frequency • Timeliness
Methodology options • Can 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)
Trial outputs (4)Quarterly Manufacturing Survey – Total Manufacturing sales compared to our new methods
Develop methods and strategies for producing stocks measures Proposed Managed Collection Key units What can we do if the variable of interest is not available in admin datasets? Admin Data Variables
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).
Questions • Contact details • Nicholas Cox, firstname.lastname@example.org • Mathew Page, email@example.com • Statistics New Zealand, Christchurch