In my research I investigate the overarching research question of how data privacy should be regulated in the digital age. Public policymakers currently are contemplating strengthening privacy regulation by completely banning targeted ads. However, privacy regulation cuts the advertising revenues by advertising-supported firms operating in the creative part of the digital economy and, in turn, potentially causes momentous economic costs for consumers and states and unintended social repercussions for digital education and democracy, which would question that a ban on tracking is the optimal privacy regime.
My research informs public policymakers about whether a ban on targeted advertising comes with momentous economic and social costs, allowing them to weigh different privacy regimes against each other. To inform public policymakers, I evaluate what would be the economic and social consequences of banning targeted advertising. To answer my research questions, I combine methods from econometrics and machine learning.
One result of my research is that many mobile apps would not exist without the possibility of targeted advertising. Consumers pay a price for privacy. States forego tax revenues. Advertising-supported firms ought to gear up for the privacy-first world. Platform firms need to set priorities in terms of user privacy and third-party innovation.