Abstract: An increasing body of empirical evidence has documented trends to risen concentration, profits, markups, and market power in many industries across the world since the 1980s. Several factors – such as globalisation, digitisation, the increased role of intangible assets and sunk costs, as well as M&A activity and the (under)enforcement of merger control– have been
The purpose of the project is to measure the digitalisation of the German economy and to track its development over time. The results will serve as an evidence-based framework for decision makers in policy and business. The project comprises several topics. DIW Berlin focuses on the analysis of the productivity effects of digitization.
As part of the evaluation process of the current State aid rules, the European Commission has awarded to the consortium of Lear, DIW Berlin, and Sheppard Mullin, a specific contract to carry out a study to support its evaluation of the rules regarding access of airports to operating aid under the EU Aviation Framework applicable as of 2014 (2014 Aviation Guidelines or the Guidelines). The study
This paper presents a broad retrospective evaluation of mergers and merger decisions in the digital sector. We first discuss the most crucial features of digital markets such as network effects, multi-sidedness, big data, and rapid innovation that create important challenges for competition policy. We show that these features have been key determinants of the theories of harm in major merger cases
Following reunification, productivity in eastern Germany grew rapidly. A strong industrial sector is key to a thriving German economy. However, the narrowing of the industrial productivity gap between eastern and western Germany has come to a standstill since the financial and economic crisis and the gap remains considerable today. Nevertheless, when comparing similar regions in eastern and
We study the evolution of the EC’s merger decision procedure over the first 25 years of European competition policy. Using a novel dataset constructed at the level of the relevant markets and containing all merger cases over the 1990-2014 period, we evaluate how consistently arguments related to structural market parameters were applied over time. Using non-parametric machine learning techniques,
In January 2019, the European Commission (“Commission”) launched the evaluation of its State aid rules that were adopted as part of the State aid Modernisation. The evaluation aims to verify if the rules delivered the desired results to European citizens and businesses at a minimum cost and if they are still fit for purpose. Within this process, the Commission entrusted a consortium of
Common ownership - where two firms are at least partially owned by the same investor - and its impact on product market outcomes has recently drawn a lot of attention from scholars and practitioners alike. Theoretical and empirical researchsuggests that common ownership can lead to higher prices. This paper focuses on implications for market entry. To estimate the effect of common ownership on