Dataset for "Predatory Pricing in the Presence of Network Effects: Evidence from the Lab"

In this paper, we study predatory pricing, market tipping, and collusion in laboratory markets with network effects. In repeated two-player Hotelling games, we compare three experimental treatments: no network effects, weak network effects, and strong network effects. The experimental results show that predatory pricing is more likely in markets with weak or strong network effects than in markets without network effects. In markets with strong network effects, there is more market tipping than in markets without or with weak network effects. In markets with network effects, the increase in product value due to network effects predominantly passes on to consumers through the increased number of predatory prices. There is no difference in the tendency to collude between treatments. We discuss some possible implications of our results for the way predatory pricing is evaluated within the context of antitrust law.