Demand forecasting, signal precision, and collusion with hidden actions

被引:1
|
作者
Martin, Simon [1 ,2 ]
Rasch, Alexander [1 ,3 ]
机构
[1] Univ Duesseldorf, Duesseldorf Inst Competit Econ DICE, Univ Str 1, D-40225 Dusseldorf, Germany
[2] Ctr Econ Studies, CESifo Res Network Affiliate, Munich, Germany
[3] Leibniz Ctr European Econ Res ZEW, Mannheim, Germany
关键词
Algorithm; Collusion; Demand forecasting; Hidden actions; Signal precision; PRODUCT DIFFERENTIATION; VERTICAL INTEGRATION; CAPACITY CONSTRAINTS; PRICE; MERGERS; EQUILIBRIUM; INFORMATION; IMPACT; COSTS;
D O I
10.1016/j.ijindorg.2023.103036
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页数:22
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