We compare the private and social incentives for privacy when sellers can commit to transparent privacy policies that are understood by consumers. The purpose is to establish a baseline for how well markets perform when firms' privacy policies are common knowledge. In this setting, if the market...

I develop and compute a dynamic model of search in internet advertising. Micro-level browsing data from Microsoft’s Bing.com (formerly known as Live.com) is used for structural estimations. The model predicts that users do not click on any ad with weak signals due to accumulating search cost...

This paper discusses the impacts of providing energy efficiency information to online shoppers. It lays out mechanisms by which this may improve appliance purchase and use decisions, raise awareness, improve innovation and align market forces with sustainability objectives. It finds that...

We study users' response to sponsored-search advertising using data from Microsoft's Live AdCenter distributed in the "Beyond Search" initiative. We estimate a structural model of utility maximizing users, which quantifies "user experience" based on their "revealed preferences," and predicts...

In this paper, we emphasize that choice sets generated by a search process have two properties: first, they are limited; second, they are endogenous to preferences. Both factors lead to biased estimates in a static demand framework that takes choice sets as given. To correct for this bias, we...

We study the effectiveness of influencer marketing in the video game industry. To this end, we construct a novel dataset on video game streaming on Twitch.tv, the largest video game streaming platform in the world, by monitoring live streams every 10 minutes for eight months. Leveraging these...