Bayesian estimation

Advertiser Learning in an Internet Ad Network

Do advertisers learn about the efficacy of their Internet display advertising over time? If so, does mitigating their initial uncertainty improve welfare for advertisers, publishers, and the ad network? We use data from a display ad network to …

A Gentle Introduction to Estimation Bayesian Models Using Stan

The Special Interest Group “Quantitative Marketing” seeks to improve the exchange and connections among quantitative marketing researchers in Europe, and to raise the profile of EMAC as a forum for sharing their research. The group is meant to serve the interests of quantitative researchers in the broadest and most inclusive sense of that term. The inaugural meeting was an introduction to Hamiltonian MCMC in Stan. Slides (for my part of the presentation) and code (for all three parts) are available on github (see links).

The Effect of Links and Excerpts on Internet News Consumption

Internet news sites often excerpt content from and link to competing news outlets. On the one hand, links and excerpts can make the excerpting site more attractive, potentially stealing traffic from the sites it links to. On the other hand, …

When Kerry Met Sally: Politics and Perceptions in the Demand for Movies

Movie producers and exhibitors make various decisions requiring an understanding of moviegoer’s preferences at the local level. Two examples of such decisions are exhibitors’ allocation of screens to movies and producers’ allocation of advertising …