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Cyril Ritter
European Commission
DG Competition
OECD, 23 June 2017
Algorithms and collusion
1
Digital decision-making
 Data
• Data protection concerns
• Data accumulation concerns
 Algorithms
• Concerns about personalisation
– Filter bubble/echo chambers
– Personalised pricing
• Collusion
– Horizontal/vertical
– Explicit/tacit
Digital decision-making
 Data
• Data protection concerns
• Data accumulation concerns
 Algorithms
• Concerns about personalisation
– Filter bubble/echo chambers
– Personalised pricing
• Collusion
– Horizontal/vertical
– Explicit/tacit
 Today
Digital decision-making
 Data
• Data protection concerns
• Data accumulation concerns
 Algorithms
• Concerns about personalisation
– Filter bubble/echo chambers
– Personalised pricing
• Collusion
– Horizontal/vertical
– Explicit/tacit
2016 OECD
meeting &
presentation
 Today
Factual findings in E-Commerce
Sector Inquiry Report
 53% of responding retailers track online
prices of competitors, of which
• 67% with software
• 78% subsequently adjust prices
Algorithms: general principles of
competition analysis
 Fact-specific, case-by-case analysis
 Apply existing principles but ready to adapt
 What's illegal offline likely to be illegal online
 Algorithm cannot shield firm from liability
Algorithms in a vertical context
 Monitoring contributing to the effectiveness
of RPM
 Monitoring + pressure enable producer to
turn recommended prices into RPM
 Spreading RPM from RPM resellers to non-
RPM resellers, because of price matching
Algorithms in a horizontal context
 Monitoring pre-existing explicit collusion
 Implementing pre-existing explicit collusion
 Engaging in explicit collusion
• Colluding on pricing parameters
• Hub and spoke
• Outsourcing pricing to common agent
• Signalling (e.g. through coded messages)
• Autonomous explicit collusion?
 Engaging in tacit collusion
• Relevant to merger control
• Offence under Article 101?

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Algorithms and collusion – EU DG COMP – June 2017 OECD discussion

  • 1. Cyril Ritter European Commission DG Competition OECD, 23 June 2017 Algorithms and collusion 1
  • 2. Digital decision-making  Data • Data protection concerns • Data accumulation concerns  Algorithms • Concerns about personalisation – Filter bubble/echo chambers – Personalised pricing • Collusion – Horizontal/vertical – Explicit/tacit
  • 3. Digital decision-making  Data • Data protection concerns • Data accumulation concerns  Algorithms • Concerns about personalisation – Filter bubble/echo chambers – Personalised pricing • Collusion – Horizontal/vertical – Explicit/tacit  Today
  • 4. Digital decision-making  Data • Data protection concerns • Data accumulation concerns  Algorithms • Concerns about personalisation – Filter bubble/echo chambers – Personalised pricing • Collusion – Horizontal/vertical – Explicit/tacit 2016 OECD meeting & presentation  Today
  • 5. Factual findings in E-Commerce Sector Inquiry Report  53% of responding retailers track online prices of competitors, of which • 67% with software • 78% subsequently adjust prices
  • 6. Algorithms: general principles of competition analysis  Fact-specific, case-by-case analysis  Apply existing principles but ready to adapt  What's illegal offline likely to be illegal online  Algorithm cannot shield firm from liability
  • 7. Algorithms in a vertical context  Monitoring contributing to the effectiveness of RPM  Monitoring + pressure enable producer to turn recommended prices into RPM  Spreading RPM from RPM resellers to non- RPM resellers, because of price matching
  • 8. Algorithms in a horizontal context  Monitoring pre-existing explicit collusion  Implementing pre-existing explicit collusion  Engaging in explicit collusion • Colluding on pricing parameters • Hub and spoke • Outsourcing pricing to common agent • Signalling (e.g. through coded messages) • Autonomous explicit collusion?  Engaging in tacit collusion • Relevant to merger control • Offence under Article 101?