We conduct an experiment where subjects read online news articles and are shown ads for brands next to those articles. Using eye-tracking technology, we measure the attention that each individual devotes to each article and ad. Then, respondents choose between cash or vouchers for the brands...

We study consumer response towards sponsored search advertising and how to improve advertising performance on a large e-commerce platform. Our research design is based on a field experiment which randomizes the salience of ad disclosure to consumers, and a natural experiment which eradicates a...

We investigate the relation between Net Neutrality regulation and Internet fragmentation. We model a two-sided market, where Content Providers (CPs) and consumers interact through Internet Service Providers (ISPs), and CPs sell consumers' attention to advertisers. Under Net Neutrality, a...

Platforms often use fee discrimination within their marketplace (e.g., Amazon, eBay, and Uber specify a variety of merchant fees). To better understand the impact of marketplace fee discrimination, we develop a model that allows us to determine equilibrium fee and category decisions that depend...

We develop a model of strategic geoblocking, where two competing multi-channel retailers, located in different countries, can decide to block access to their online store from foreign consumers. We characterize the equilibrium when firms decide unilaterally whether to introduce geoblocking...

Technological innovations facilitating e-commerce have well-documented effects on consumer behavior and firm organization in the retail sector, but the effects of these new transaction technologies on fiscal systems remain unknown. By extending models of commodity tax competition to include...

This article reports on an investigation of the role of lock-in exploitation and the impact of reputation portability on workers’ switching behaviors in online labor markets. Online platforms using reputation mechanisms typically prevent users from transferring their ratings to other...

Online ratings play an important role in many markets. We study the often disputed information content of these ratings, by proposing a reduced-form Bayesian model of the typical buyer's rating decision. Our empirical evidence based on eBay raw data is in line with even intricate predictions...

Online ratings play an important role in many markets. However, how fast they can reveal seller types remains unclear. To study this question, we propose a new model in which a buyer learns about the seller’s type from previous ratings and her own experience and rates the seller if she learns...