Price Discrimination and Big Data: Evidence from a Mobile Puzzle Game

Louis-Daniel Pape, Christian Helmers, Alessandroq Iaria, Stefan Wagner, Julian Runge

Publications: Working paper

Abstract

We use data 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 the game developer's observed pricing is far from optimal. Profit would increase by 340% if the game developer used optimal uniform pricing instead. What is more important, our results suggest that optimal uniform pricing results in almost the same increase in profits as first-degree price discrimination (347%). All pricing strategies considered---including optimal uniform pricing---induce a transfer of surplus from players to game developer without, however, generating sizeable dead-weight losses.
Original languageEnglish
Number of pages93
Publication statusPublished - 2 Nov 2021

Publication series

SeriesCEPR Discussion Paper Series
NumberDP16706
ISSN0265-8003

Austrian Fields of Science 2012

  • 502015 Innovation management

Keywords

  • AIS
  • CSP

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