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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 automated data validation (editing) methods.   The papers below provide detailed information on methods relevant to this topic which have been implemented within statistical organisations.  Issues covered include:

•   Systems to automatically correct regularly occurring errors of a simple nature in data capture
•   Automatic querying of respondents when supplying data via the internet or telephone

Primary papers

The papers below focus primarily on the issue of automated data validation (editing) methods.  They may also contain information on other statistical processes defined in the STES Timeliness Framework .

Shifting data editing to respondents at Statistics Austria (2005)

Introducing and Implementing a New Data Editing Strategy for German Business Statistics (2005)

Automated Editing System for Short-term Business Surveys in Slovenia (2005)

New System for Selective Input Editing and Graphical Macro Editing of German Economic Studies (2005)

Editing Strategies Used by the U.S Bureau of Labour Statistics in Data Collection over the Internet  (2003)

Electronic Data Reporting – Moving Editing Closer to Respondents, U.S. Energy Statistics  (2003)

Secondary papers

The papers below refer to the issue of automated data validation (editing) methods to some extent.  They also provide more detail on other statistical processes defined in the STES Timeliness Framework .

Generalised Edit and Imputation System for Economic Surveys at Statistics Canada (2005)

Electronic Data Collection System for Latvian Business Statistics (2005)

Use of Simple Data Items and Respondent Editing of Web Forms in Spain  (2005)

Survey Data Collection over the Internet at the U.S. Bureau of Economic Analysis  (2003)

Queries and the submission of new papers

Questions on the content of or how to use this framework should be sent to stat.contact@oecd.org