In this article, we combine machine learning techniques with statistical moments of the gasoline price distribution. By doing so, we aim to detect and predict cartels in the Brazilian retail market. In addition to the traditional variance screen, we evaluate how the standard deviation,...

This paper analyzes patent pools and their effects on innovation incentives. It is shown that the pro-competitive effects of patent pools for complementary patents naturally extend for dynamic innovation incentives. However, this simple conclusion may not hold if we entertain the possibility...

We study the question whether a holder of standard essential patents (SEPs) should be allowed to choose the level in the value chain at which to offer a FRAND license to its SEPs. We give a pos-itive answer to this question for two reasons. First, the SEP holder and the social planner tend to...

We identify features of interactions on online platforms that make an ad-funded business model attractive for the platform, but also for consumers. We then show that ad-funded platforms heavily rely on data for their ability to create value for their users. Formally, we show that data...

Envelopment is an effective form of market entry that facilitates competition among platforms. Nevertheless, many commentators have focused on the anticompetitive potential of envelopment, and some have argued for regulation of platforms because of that concern. These calls for regulation are...

We analyze evidence production in merger control as a delegation problem in an inquisitorial competition policy system. The antitrust agency’s incentives to produce evidence on the efficiency of a merger proposal depend critically on its action set. Allowing for a compromising remedy solution...

In this paper, we consider two platforms that compete for the development of a new product to integrate into their ecosystems. The new product can be developed either inhouse by the platforms or by an independent startup active only in the technology market. The presence of the startup affects...

Digital platforms, empowered by artificial intelligence algorithms, facilitate efficient interactions between consumers and merchants that allow the collection of profiling information which drives innovation and welfare. Private incentives, however, lead to information asymmetries resulting in...

In the past 20 years, large digital platforms have made many acquisitions, mainly young and innovative startups. Few of them have been reviewed by competition authorities and little is known on their evolution after acquisition. This paper intends to fill in this gap by looking at the...

We discuss the main Theories of Harm in EU merger control and their evolution since the 1990s. We present stylised facts and trends using data extracted from EU merger decisions by natural language processing tools. EU merger policy has adapted over time, both in terms of legislation and...