DP16706 Price Discrimination and Big Data: Evidence from a Mobile Puzzle Game
We use a unique dataset from a mobile puzzle game to investigate the welfare consequences of price discrimination. We rely on experimental variation to characterize player behavior and estimate a model of demand for game content. Our counterfactual simulations show that optimal uniform pricing would increase profit by +340% with respect to the game developer’s observed pricing. This is almost the same as the increase in profit associated with first-degree price discrimination (+347%). All pricing strategies considered—including optimal uniform pricing—would induce a transfer of surplus from players to game developer without, however, generating sizeable dead-weight losses.