We investigate three alternative but complementary indicators of market power on one of the largest online labour markets (OLMs) in Europe: (1) the elasticity of labour demand, (2) the elasticity of labour supply, and (3) the concentration of market shares. We explore how these indicators relate...

Technical restrictions on access to and re-use of data may result in failures in data markets and data-driven services markets. Th is paper examines three new EU data regulations (the European Health Data Space, the Data Act and the Digital Markets Act) that vary substantially in mandatory...

Generative artificial intelligence (GenAI) models have stirred considerable controversy about copyright protection for AI training inputs and model outputs. The European Union's AI Act will require model developers to be transparent about their use of training inputs such as text, images and...

Digital platforms facilitate interactions between consumers and merchants that allow collection of profiling information, which drives innovation and welfare. Private incentives, however, lead to information asymmetries resulting in market failures both on-platform, among merchants, and...

The proposed European Union Data Act gives users access and portability rights to the data generated by their use of tangible digital products and devices. This pro-competitive measure weakens the de-facto monopolistic control product manufacturers have over product data. However, the Data Act...

The first part of this paper focuses on competition between search engines that match user queries with webpages. User welfare, as measured by click-through rates on top-ranked pages, increases when network effects attract more users and generate economies of scale in data aggregation. However,...

This working paper explores the tension between rapidly increasing artificial intelligence investment costs and the slower pace of productivity growth, raising concerns about a potential 'economic winter' for AI. AI has shown significant technological progress, particularly with machine learning...