Demand forecasting, signal precision, and collusion with hidden actions

Simon Martin, Alexander Rasch

Publications: Contribution to journalArticlePeer Reviewed

Abstract

We analyze how higher demand-forecasting precision affects firms' chances of sustaining supracompetitive profits, depending on whether actions are observable or hidden. We identify a dual role of improving forecasting ability for situations in which actions are hidden. Improved forecasting ability increases the temptation for firms to deviate, reducing profits; at the same time, such ability reduces and eventually eliminates the uncertainty over whether deviations are occurring. Our framework, in which firms decide on prices and promotional activities, reveals a U-shaped relationship between profits and predictive ability. Generally, collusive profits may increase or decrease in signal precision, depending on action observability, highlighting the importance of industry-specific considerations for regulatory interventions and competition policy.
Original languageEnglish
Article number103036
Pages (from-to)103036
JournalInternational Journal of Industrial Organization
Volume92
DOIs
Publication statusPublished - Jan 2024
Externally publishedYes

Austrian Fields of Science 2012

  • 502013 Industrial economics

Keywords

  • Algorithm
  • Collusion
  • Demand forecasting
  • Hidden actions
  • Signal precision

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