STES Timeliness Framework: Quality Assessment of Timeliness Improvements

Back to STES Timeliness Framework

This page contains links to detailed documentation on methods used by statistical organisations to make a quality assessment of changes made in the statistical production process to improve the timeliness of their short-term economic statistics.

Primary papers

The papers below focus primarily on the issue of quality assessment of timeliness improvements.  They may also contain information on other statistical processes defined in the STES Timeliness Framework.

Using Quality Measures to Manage Statistical Risks for Business Surveys in Australia (2006)

The Collection and Analysis of Standard Quality Indicators at ISTAT (2006)

Quality Indicators for Evaluating and Documentation Editing and Imputation at ISTAT (2005)

Measurement of Data Quality for Short-term Business Statistics in Slovenia (2004)

Measuring and Reporting Sources of Error in Surveys in the United States (2001)

Quality Management Processes used for Improving the Timeliness of Industrial Output at Statistics Finland (2002)

Quality Evaluation and Future Vision for the UK Office for National Statistics Data Collection Strategy (2003)

Secondary papers

The papers below refer to the issue of quality assessment of timeliness improvements to some extent.  They also provide more detail on other statistical processes defined in the STES Timeliness Framework.

Spanish Methods to Improve Timeliness in the Industrial Production Indices (2002)

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