SAE Manual Sections 1 to 4_1 (May 06).pdf - National Statistical ...
SAE Manual Sections 1 to 4_1 (May 06).pdf - National Statistical ...
SAE Manual Sections 1 to 4_1 (May 06).pdf - National Statistical ...
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A Guide <strong>to</strong> Small Area Estimation - Version 1.1 05/05/20<strong>06</strong><br />
1.2 Background <strong>to</strong> the Small Area Practice <strong>Manual</strong><br />
The small area practice manual project was developed <strong>to</strong> give a simple and clear guide of<br />
how <strong>to</strong> undertake small area estimation. The ABS has previously carried out a number of<br />
small area estimates projects (See Appendix 1). In recent years user demand for these<br />
kinds of statistics has increased. Most of this increase in demand has become apparent<br />
during specific consultations between the ABS and key government users <strong>to</strong> gauge and<br />
assess users’ medium and long term statistical data requirements. Consolidated<br />
examples of these can be found in the Information Development Plan (IDP) (ABS, 2005)<br />
(Catalogue 1362.0 <strong>to</strong> be released in early 20<strong>06</strong>) and State <strong>Statistical</strong> Priorities (ABS<br />
Corporate Information - State <strong>Statistical</strong> Forum 16 February 2005)<br />
This reflects the growing statistical sophistication of users. Also local government bodies<br />
such as cities, councils and shires are taking on a greater role in the long term planning<br />
and socio-economic development of their regions. This increase in demand for small<br />
area data is occurring globally. In response, more advanced methods for producing<br />
reliable small area statistics are being developed and are gaining methodological<br />
acceptance. This was recognised at an international conference held on small area<br />
statistics in Riga, Latvia in 1999 where the Deputy Australian Statistician encouraged<br />
<strong>National</strong> <strong>Statistical</strong> Organisations <strong>to</strong> make greater use of model-based methods <strong>to</strong><br />
produce small area statistics (Trewin 1999). The paper also noted that explaining quality<br />
is an especially important issue for a <strong>National</strong> Statistics Office when producing these<br />
types of estimates and products.<br />
Various areas within the ABS have been involved in the provision of small area estimates<br />
<strong>to</strong> varying levels of sophistication in both the methods used and the quality of the<br />
estimates produced. Table A.1 of Appendix 1 contains a selection of the major pieces of<br />
small area work that have been conducted <strong>to</strong> date. In addition, there has been no<br />
definitive set of clear, ABS wide guidelines on how <strong>to</strong> assess the quality of small area<br />
estimates and what should be the agreed minimum level of quality required before<br />
releasing small area statistics <strong>to</strong> external clients. In other words, what needs <strong>to</strong> be<br />
developed is a cohesive, coordinated approach <strong>to</strong> the production of small area<br />
estimates.<br />
There is a strong need <strong>to</strong> set up a framework for the practice of small area estimation at<br />
all levels of involvement in the small area statistical process. These include client services<br />
areas in regional offices or Central Office (CO), Methodology Division, <strong>National</strong><br />
<strong>Statistical</strong> Centres and senior managers responsible for clearing and releasing small area<br />
output. Such a framework is important for ensuring that consistent practices are used<br />
across the ABS in producing small area estimates and that these practices accord with<br />
best practices used both in the ABS and in statistical agencies overseas.<br />
Australian Bureau of Statistics 6