This paper investigates the impact of service quality in e-tailing on site visits and consumer demand (approximated by the last-click- through concept). We use a large representative data set obtained from a price-comparison site which covers most of the national (Austrian) market on e-tailing....

This paper empirically examines the impact of entry by Wal-Mart on competition in the supermarket industry. Using a detailed panel dataset spanning 1994 to 2006, we estimate the impact of Wal-Mart on firm outcomes and market structure, controlling for persistent local trends and systematic...

This paper provides a critical review of the methods for estimating static discrete games and their relevance for quantitative marketing. We discuss the various modeling approaches, alternative assumptions, and relevant trade-offs involved in taking these empirical methods to data. We consider...

We build a model to analyze the cost (wholesale price) pass-through incentives of a retailer selling two products. The products, `leader' and `follower,' are such that the leader's price affects the follower's demand, but not vice versa. These products could be in different categories, such as a...

In recent years there has been a growing stream of literature in marketing and economics that models consumers as Bayesian learners. Such learning behavior is often embedded within a discrete choice framework which is then calibrated on scanner panel data. At the same time it is now accepted...

I model manufacturers competing through a retailer. I model two types of advertising that each firm can engage in: advertising that increases product differentiation and advertising that increases (possibly perceived) value of the product. While the two types of advertising result in...

Discovering the preferences and the behaviour of consumers is a key challenge in marketing. Information about such topics can be gathered through surveys in which the respondents must assign a score to a number of items. In this article we suggest a strategy to analyze such data and achieve this...

We address a critical question that many firms are facing in this era of "big data'': Can customer data be stored and analyzed in an easy-to-manage and scalable manner without significantly compromising the inferences that can be made about the customers' transaction activity? We address this...