We study personalized pricing in a general oligopoly model. The impact of personalized
pricing relative to uniform pricing hinges on the degree of market coverage. If market …

In recent years, important concerns have been raised about the increasing capabilities of
pricing algorithms to make use of artificial intelligence (AI) technologies. Two issues have …

An information designer has precise information about consumers' preferences over
products sold by oligopolists. The designer chooses what information to reveal to …

With data being generated at an unprecedented rate, monetizing data has become a
paramount issue in this era of the digital economy. Firms have traditionally leveraged …

Building on evolutionary perspectives, we offer a new demand-based explanation as to why
the product innovation performance of firms varies across countries. We propose that certain …

In recent years, academia, institutions, and policymakers have been focusing their attention
on the impact of data in digital markets. The economic literature that explicitly models data …

Data brokers share consumer data with rivals and, at the same time, compete with them for
selling. We propose a 'co-opetition'game of data brokers and characterize their optimal …

We analyze the effects of different data selling mechanisms of a monopolistic Data Broker
(DB) who sells consumer data to firms in a downstream market with free entry, where data …

We study mergers between firms operating in data-connected markets: the data generated
as a byproduct of the activity in market A can be used by firms operating in market B. The …

We study how a data-rich firm can benefit by unilaterally sharing its customer data with a
data-poor competitor when the data can be used for price discrimination. By sharing data on …