We study and contrast pricing and price evolution of online only (Dotcom) and online branch of multi-channel retailers (OBMCRs) based on two panel data sets collected from online toy markets. Panel data regression analyses reveal several interesting empirical results: over time, OBMCRs and...

We present an information good pricing model with persistently heterogeneous consumers and a rising marginal propensity for them to pirate. Three offsetting pricing mechanisms occur: skimming, compressing price changes, and delaying product launch. We identify a novel trade off in piracy's...

This is a discussion of the manuscript "Local News Online: Aggregators, Geo-Targeting and the Market for Local News" by L. George and C. Hogendorn, presented at the 11th Workshop on Media Economics, which was held at the Recanati Business School, Tel-Aviv University, October 9-10, 2013.

This paper studies the impact of software piracy on prominent and non-prominent software developers in markets based on a two-sided platform business. Consumer behavior is imperfect and, when adopting a platform, consumers only take prominent software into account. We show that prominent...

The unprecedented access of firms to consumer level data not only facilitates more precisely targeted individual pricing but also alters firms’ strategic incentives. We show that exclusive access to a list of consumers can provide incentives for a firm to endogenously assume the price...

This paper investigates the link between product quality and price setting for central processing units (CPUs). Using thousands of price quotes from a popular price-comparison website, we find that market fundamentals, such as the number of sellers, median price, share of convenient prices and...

This paper analyzes how household adoption of broadband internet affected traditional print media, using data from the Norwegian media market over the past two decades. This setting offers unusually rich data on newspaper firms and consumption of print media combined with a plausibly exogenous...

Gender stereotypes are increasingly considered to be as important as gender discrimination in market transactions. In this paper, we show that they influence market outcomes also through the client feedback channel of online platforms. Using a novel panel dataset of listings on the largest...

This study aims at identifying guests' willingness to pay for characteristics of listings on Airbnb, putting a particular emphasis on trust-building information provided by the platform. In order to do so, a hedonic regression model is applied to an extensive dataset that was gathered in 2017...

This paper examines price elasticities on a price comparison website and if there is a discontinuity in demand for retailers having the lowest price, or products having the highest consumer rating. Previous research is extended upon, with a larger, more recent, and more varied dataset, with...