Periodic Reporting for period 2 - CoDiM (Competition in Digital Markets)
Okres sprawozdawczy: 2023-02-01 do 2024-07-31
Public interventions, in the form of ex ante regulation or ex post antitrust sanctions, represent a different and hotly debated response to the concerns on competition in digital markets. But what would be the proper way for public regulators to foster competition in digital platforms? Is what we know about regulating natural monopolies that sell to rational consumers (Viscusi, Harrington and Sappington, 2018) adequate for digital platforms? Or should we consider these as environments that are apt for competition – not being natural monopolies – but also characterized by users that do not conform with the homo economicus model? These are the types of questions explored in the second group of projects. A key feature is the attention to combine how users’ biases - such as a default effect (Thaler and Sunstein, 2008) for the search engine used – interact with the market structure and, hence, with how an effective public intervention should be organized.
Finally, a third set of questions addressed by the third group of projects concerns the interplay of competition and privacy. In several digital platforms – most notably in those selling products like apps, movies or music – sellers’ revenues often come from three sources: charging a price to consumers, exposing them to advertisements (and, hence, earning from the sale of ad space) or acquiring their data. In the latter case, the revenues are typically produced by the subsequent resale of the data to advertisers and other specialized intermediaries. If until recently consumers seemed relatively unconcerned about the value of their personal data, there is mounting evidence of a growing price that consumers are willing to pay to preserve their privacy. However, not all platforms give consumers the right to their data (for instance, opting out of personalized ads is not an option on Facebook) and there are many open questions regarding what is the best market design for “attention oligopolies” (Prat and Valletti, 2019) and digital platforms more broadly.
Beyond these completed works, two additional papers are in the final stages of preparation. These papers delve into the regulation of digital advertising and the analysis of complementarities in vertical markets within the digital advertising industry. This expanding body of work demonstrates a broadening of the project's scope, extending beyond the initial analysis proposed in the project's inception. The research now encompasses a deeper examination of the dynamics between advertisers and digital platforms, shedding light on competitive practices and regulatory implications.
The relevance and impact of this research are further underscored by its presentation at various prestigious academic and policy-focused platforms. These include conferences organized by the National Bureau of Economic Research (NBER) and the TSE-Yale Digital Economy, as well as seminars and discussions at top-tier universities and institutions. Such engagements have not only facilitated the dissemination of the findings but also highlighted the policy implications of the research, particularly in relation to EU competition law and digital market regulations.
In summary, the project has made significant strides in exploring and understanding the complex dynamics of digital markets and advertising, contributing valuable insights to both academic discourse and policy deliberations. This work has not only expanded the scope of the original research agenda but also positioned the project at the forefront of discussions on the regulation and competition of digital platforms.
While claiming a breakthrough in research is challenging, these papers offer significant progress. "Competition and Defaults in Online Search" not only uses antitrust interventions to inform digital market regulation but also advocates for an evidence-based regulatory approach. Similarly, "Artificial Intelligence & Data Obfuscation" introduces an innovative perspective by linking platform data policies with the use of AI by businesses. This insight is particularly groundbreaking as it reveals how platforms' data management can influence the effectiveness and adoption of AI tools in digital markets, a dynamic not yet addressed in current legislative frameworks like the Digital Markets Act or the Artificial Intelligence Act.
By highlighting the connection between platform data policies and AI tool performance, this paper advances our understanding of digital market competition and the emerging trend of platforms providing AI tools directly. This contributes to a deeper understanding of the potential distortions in market competition, emphasizing the importance of fair competition in the digital economy.