We study the effect of a merger on R&D activity in a dynamic model with uncertainty about the feasibility of innovation. The merger has three effects: It may reduce the number of follow-up innovations (cannibalization effect), increase the probability of the first game-changer innovation (appropriability effect), and bring this innovation forward in time (informational effect). The model suggests mergers are more desirable when R&D outcomes are highly uncertain, but less so when the innovation path is clearer. A surprising policy implication is that the benefit of the merger may be higher if the first and subsequent innovations are closer substitutes. (JEL D21, D83, G34, O31)
Das et al. (Mon,) studied this question.