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Back to STES Timeliness Framework
This page contains links to detailed documentation on improving timeliness in short-term economic statistics through compiling preliminary estimates based on statistical models. The papers below provide detailed information on methods relevant to this topic which have been implemented within statistical organisations. Issues covered include:
• Estimation based on a combination of administrative data, models and survey data
• Early (flash) estimates based on modelling relationships with other available data
Primary papers
The papers below focus primarily on the issue of preliminary estimates based on statistical models. They may also contain information on other statistical processes defined in the STES Timeliness Framework.
Using EFTPOS Data as a Timely Indicator of Retail Trade & Services Activity in New Zealand (2006)
Improving Timeliness and Quality of Short-term Statistics: an Application to Italian Building Permits (2004)
Improvement in Timeliness for Turnover in Other Services and Production in Construction at Statistics Finland (2005)
Model Based Estimates of Construction Industry Output Using Administrative Data at ISTAT (2003)
Methods to Produce Flash Estimates of Manufacturing Industry Production by the Bank of Mexico (2002)
Use of Modelling Techniques and Flash Estimates at the Statistical Office of Germany (2003)
Secondary papers
The papers below refer to the issue of preliminary estimates based on statistical models to some extent. They also provide more detail on other statistical processes defined in the STES Timeliness Framework.
Using administrative data in short-term statistics: Sub annual industry surveys at Statistics New Zealand (2004)
Use of Administrative Data in the Canadian Employment, Payroll and Hours Survey (2001)
Imputation Methods, Sample Design and Estimation for the BLS Job Openings and Labor Turnover Survey (2001)
Benchmarking State Labour Force Estimates in the United States (2003)
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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