We analyze price dispersion using panel data from a large price comparison site. We use past pricing behavior to instrument for potential endogeneity that might result from the selection of firms to certain product markets. We find that greater price adjustment costs result in greater price...

Digital platforms sometimes offer incentives to a subset of sellers to nudge behavior, possibly affecting the behavior of all sellers in the equilibrium. In this paper, we study a policy change on a large e-commerce platform that offers financial incentives only to platform-certified sellers...

Over the period 2015-2017, the five giant technologically leading firms, Google, Amazon, Facebook, Amazon and Microsoft (GAFAM) acquired 175 companies, from small start-ups to billion dollar deals. By investigating this intense M&A, this paper ambitions a better understanding of the Big Five's...

Data brokers collect, manage, and sell customer data. We propose a simple model, in which data brokers sell data to downstream firms. We characterise the optimal strategy of data brokers and highlight the role played by the data structure for co-opetition. If data are “sub-additive”, with...

As e-commerce has grown over the last few decades so has states' concern for its use for sales tax avoidance. Using a panel of Washington State tax jurisdictions from 2005 through 2015, I estimate the effect of a sales tax regime change on the elasticities of taxable sales. I find the regime...

We study the Gilets jaunes movement, which blocked most of France off in November 2018. We first analyze the complementarity/substitutability between the different forms of mobilization and find that blockades were planned online and later reinforced online activism. Second, we do textual...

We study the effect of internet diffusion on childbirth procedures performed in England between 2000 and 2011. We exploit an identification strategy based on geographical discontinuities in internet access generated by technological factors. We show that broadband internet access increased...

This paper proposes a framework for demand estimation with data on bids, bidders' identities, and auction covariates from a sequence of eBay auctions. First the aspect of bidding in a marketplace environment is developed. From the simple dynamic auction model with IPV and private bidding costs...