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Competition

Data Screening Tools for Competition Investigations

 

Read the background note

Lisez la note de l'OCDE

 28 November 2022  Paris

 

Data screening tools are empirical methods that competition authorities can use to detect illegal activity. Such methods are often used before opening an investigation, to check for suspicious behaviour that is ‘flagged’ if certain criteria are met, or following a complaint or whistle-blower report, to confirm or validate allegations.

The most common use of screening is aimed at uncovering anticompetitive horizontal agreements, particularly in procurement markets. These are often empirical screens that can be enriched with machine learning techniques. 

In November 2022, the OECD will be holding a roundtable on "Data Screening Tools for Competition Investigations" to explore developments in digital screening tools in academic literature and competition authority practice. It will consider data quality, access and collection issues, and resources that competition authorities may need.

> Read the Background Note (Also available in French)

> See the full list of best practice roundtables on competition

Documents

OECD Background note l Version française

 

Contributions from delegations

Australia

BIAC

Brazil

Canada

Colombia

Denmark

Ecuador

France EN l FR

Italy

Kazakhstan

Korea

Mexico

Romania

Singapore

Spain

Switzerland

United States

Summaries of contributions

Related material

OECD Business and Finance Outlook, AI in Business and Finance (2021)

Workshop on cartel screening in the digital era (2021)

Algorithms and collusion (2017)

Ex-officio cartel investigations and the use of screens to detect cartels (2013)

See also

Fighting bid rigging in public procurement

OECD Handbook on Competition in the Digital Age

OECD best practice roundtables on competition

More OECD work on competition

 

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