The increasing access to large social network data has generated substantial interest in the marketing community. However, due to its large scale, traditional analysis methods often become inadequate. In this paper, we propose a sequential sampling enhanced composite likelihood approach for e...

Research in marketing, and business in general, involves understanding when effect-sizes are expected to be large and when they are expected to be small. Understanding the contexts in which consumers are sensitive to offers, and variables such as price, is an important aspect of merchandising,...

This paper studies the potential to better understand display advertising response using observational data from real-time bidding (RTB) exchanges. While non-random exposure to display ads creates endogeneity concerns, unique aspects of the RTB ecosystem allow for common sources of selection,...