Demand forecasting, signal precision, and collusion with hidden actions

B-Tier
Journal: International Journal of Industrial Organization
Year: 2024
Volume: 92
Issue: C

Authors (2)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:indorg:v:92:y:2024:i:c:s0167718723001054
Journal Field
Industrial Organization
Author Count
2
Added to Database
2026-01-29