STES Timeliness Framework: Effective Business Selection Methods

Back to STES Timeliness Framework

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

•   Methods to maximise the common sample of businesses where new samples are drawn each survey
•   Maximising common sample through infrequent re-sampling (e.g. annually)

Primary papers

The papers below focus primarily on the issue of effective business selection methods. They may also contain information on other statistical processes defined in the STES Timeliness Framework.

Maximising Common Sample Between Surveys Whilst Fully Representing the Current Population – Synchronised Sampling in Australia (2000)

Maximising Common Sample Between Surveys with a Probability Proportional to Size Sample Selection Method (2000)

Secondary papers

The papers below refer to the issue of  effective business selection methods to some extent.  They also provide more detail on other statistical processes defined in the STES Timeliness Framework.

There are currently no secondary papers for this topic.

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

Top of page

The aim of this book is to help the reader to better understand how to use economic statistics in general and OECD statistics in particular.

Understanding Economic Statistics: an OECD perspective

presents important statistical issues to the international community of statisticians, economists, policy makers and researchers.

The Statistics Brief