STES Timeliness Framework: Efficient Sample Designs

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This page contains links to detailed documentation on improving timeliness or reducing costs in the production of short-term economic statistics through efficient sample designs.  The papers below provide detailed information on methods relevant to this topic which have been implemented within statistical organisations.  Issues covered include:

•   Sample designs maximising the use of auxiliary variables to minimise sample size
•   The use of cutoff sampling where small businesses are excluded (and possibly imputed using models)
•   Efficient sample designs for two phase estimation

Primary papers

The papers below focus primarily on the issue of efficient sample designs.  They may also contain information on other statistical processes defined in the STES Timeliness Framework.

Using a Two Phased Design in the Canadian Retail Commodity Survey (2002)

Technical Details of the Two Phased Design Used in the Canadian Retail Commodity Survey (1997)

Using Taxation Data to Improve Survey Design, Methodology and Processes at the Australian Bureau of Statistics (2002)

Secondary papers

The papers below refer to the issue of efficient sample designs to some extent.  They also provide more detail on other statistical processes defined in the STES Timeliness Framework.

Changes to the Quarterly Wholesale Trade Survey at Statistics New Zealand (2003)

Imputation Methods, Sample Design and Estimation for the BLS Job Openings and Labor Turnover Survey (2001)

Changes to the Quarterly Economic Survey of Manufacturing at Statistics New Zealand (2002)

Queries and the submission of new papers

Questions on the content of or how to use this framework should be sent to std.timeliness@oecd.org.  The submission of new papers to be assessed for inclusion in the framework is also invited. The framework will be reviewed and updated with new documentation on an ongoing basis. To register as a user and receive all future updates, email std.timeliness@oecd.org

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