The ability of firms to reposition their products can determine the effects of demand shocks, mergers and policy interventions in differentiated product markets. This paper estimates a dynamic oligopoly model to measure repositioning costs in the commercial radio industry. Based on a set of...

Fake product reviews--and the manipulation of reputation systems by sellers more broadly--are a widespread issue for two-sided platforms. We study two primary channels through which such manipulation can affect market outcomes: (i) creating misinformation about the reviewed product, and (ii)...

The digitization of content has led to the emergence of platforms that draw information from multiple sources. Policymakers are concerned that these new platforms threaten incentives for the production of original content. As a result, policymakers are contemplating regulations that would force...

We argue that reputation mechanisms used by platform markets suffer from two problems. First, buyers may draw conclusions about the quality of the platform from single transactions, causing a reputational externality across sellers. Second, for a variety of reasons we discuss, reputations will...

We study the effects of occupational licensing on consumer choices and market outcomes in a large online platform for residential home services. We exploit exogenous variation in the time at which licenses are displayed on the platform to identify the causal effects of licensing information on...

A policy debate centers around the question how news aggregators such as Google News affect traffic to online news sites. Many publishers view aggregators as substitutes for traditional news consumption while aggregators view themselves as complements because they make news discovery easier. We...

For some kinds of goods, rarity itself is valued. "Fashionable'" goods are demanded in part because they are unique. In this paper, we explore the economics of rare goods using auctions of limited-edition shoes held by an e-commerce platform. We model endogenous entry and bidding in multi-unit...

When a user shares multi-dimensional data about themselves with a firm, the firm learns about the correlations of different dimensions of user data. We incorporate this type of learning into a model of a data market in which a firm acquires data from users with privacy concerns. User data is...

Consumer choices are increasingly mediated by algorithms, which use data on those past choices to infer consumer preferences and then curate future choice sets. Behavioral economics suggests one reason these algorithms so often fail: choices can systematically deviate from preferences. For...