This paper investigates how privacy regulation affects the structure of online markets. We provide a simple theoretical model capturing the basic trade-off between the degree of privacy intrusion and the informativeness of advertising. We derive empirically testable hypotheses regarding a...

This paper explores the relationship between disclosure in securities markets and the firm's need for confidentiality. Transparency plays a crucial role for both investor protection and the proper functioning of the stock market. Confidentiality protects the value of information which has been...

Two duopolists compete in price on the market for a homogeneous product. They can ‘profile’ consumers, i.e., identify their valuations with some probability. If both firms can profile consumers but with different abilities, then they achieve positive expected profits at equilibrium. This...

We analyze platform competition where user data is collected to improve ad-targeting. Considering that users incur privacy costs, we show that the equilibrium level of data provision is distorted and can be inefficiently high or low: if overall competition is weak or if targeting benefits are...

A monopolist can use a 'tracking' technology that allows it to identify a consumer's willingness to pay with some probability. Consumers can counteract tracking by acquiring a 'hiding' technology. We show in this note that consumers are collectively better off when this hiding technology is not...

Ad-supported websites face an increasing loss of monetizable ad impressions due to the rapid spread of adblockers, which allow users to get desired website content without unwanted advertising. As a countermeasure, many of these websites use anti-adblock filters, which detect adblock users and...

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...

We propose a geoadditive negative binomial model (Geo-NB-GAM) for regional count data which allows us to simultaneously address some important methodological issues, such as spatial clustering, nonlinearities and overdispersion. We apply this model to study location determinants of inward...

This paper analyzes the impact of countries' tax attractiveness on the allocation of risk within multinational groups. Our dataset contains subsidiaries located in 32 European countries and owned by parents from 90 different countries globally. We show that tax symmetry positively influences the...

This paper examines location choices of multinational enterprises (MNEs). We particularly focus on the consequences of double taxation treaties (DTTs) and corporate profit taxes on the probability to choose a location. DTTs have become a key policy instrument used by countries to regulate...