Consider a two-product firm that decides on the quality of each product. Product quality is unknown to consumers. If the firm sells both products under the same brand name, consumers adjust their beliefs about quality subject to the performance of both products. We show that if the probability...

Various forms of social learning and network effects are at work on crowdfunding platforms, giving rise to informational and payoff externalities. We use novel entrepreneur-backer data to study how these externalities shape funding dynamics, within and across projects. We find that backers...

What factors determine whether it is optimal with one or more technologies in a decarbonized road transport sector, and what policies should governments choose? We investigate these questions theoretically and numerically through a static, partial equilibrium model for the road transport market....

The blockchain is a technology that goes beyond timestamping, bitcoin and secure financial transactions. The development of an ecosystem around smart connected objects will probably not happen without the blockchain (in one form or another). The blockchain opens the door to the liquification of...

We investigate the relationship between market structure and platforms' incentives to adopt technological innovations in two-sided markets, where platforms may find it optimal to charge zero price on the consumer side and to extract surplus on the advertising side. We consider innovations that...

This paper introduces a model of limited consumer attention into an otherwise standard new trade theory model with love-of-variety preferences and heterogeneous firms. In this setting, we show that trade liberalization needs not be welfare enhancing if the consumers' capacity to gather and...

We derive equilibrium incentives to use comparative advertising that pushes up own brand perception and pulls down the brand image of targeted rivals. Data on content and spending for all TV advertisements in OTC analgesics enable us to construct matrices of dollar rival targeting and estimate...

This paper empirically investigates the advertising competition in the French broadcast television industry within a two-sided market framework. We use a unique dataset on the French broadcast television market including audience, prices, and quantities of advertising of twenty-one TV channels...

In 2018, the European Council and the UK and Spanish governments each proposed to introduce a Digital Services Tax (DST), to be levied on the revenue of large digital platforms from advertising, online intermediation, and/or the transmission of data. We offer a rationalization of the DST as a...

We use high frequency data on TV and radio advertising together with data on online sales for lottery tickets to measure the short run effects of advertising. We find them to be strong and to last for up to about 4 hours. They are the bigger the less time there is until the draw. We develop the...