Unfortunately the event is cancelled. As soon as a new date is fixed, it will be announced here on the website. The Berlin IO Day is a one-day workshop sponsored by the Berlin Centre for Consumer Policies (BCCP) and supported by the Berlin's leading academic institutions, including DIW Berlin, ESMT Berlin, Humboldt-Universität zu Berlin, and Technische Universität Berlin. The aim is to
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
Abstract: Antibiotic misuse due to prescribing under diagnostic uncertainty is a leading driver of antibiotic resistance. We investigate the magnitude and mechanisms by which machine learning predictions can enable policies that reduce antibiotic misuse. Building on predictions from administrative data on urinary tract infections in Denmark, we evaluate counterfactual policies that replace
Many industries are seeing an increase in concentration, leading to a discussion on the effectiveness of horizontal merger enforcement. The policy debate shows that one of the key arguments put forward when supporting potential mergers is the possibility of realization of merger efficiency gains, specifically in the transport industry. Yet, there exists little empirical evidence on the actual
We study the impact of different regulatory designs on the cost efficiency of operators providing a public service, exploiting data from the French transport industry. The distinctive feature of the study is that it considers regulatory regimes as endogenously determined choices, explained by economic, political, and institutional variables. Our approach leans on a positive analysis to study the
Abstract: This paper investigates the determinants of ownership changes of drug candidates in one of the most important current pharma markets —the market for diabetes. We in particular look at how do the competitive circumstances, progress in clinical development and radicalness of the drug candidates matter in these decisions. We use newly constructed, very granular dataset tracking
Abstract: The rise of dominant firms in data driven industries is often credited to their alleged data advantage. Empirical evidence lending support to this conjecture is lacking. In this paper, we show that data as an input into machine learning tasks displays features that favor the hypothesis that data is a source of market power. We study the search result quality for search keywords on
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