We study incumbency advantage in markets with positive consumption externalities. Users of an incumbent platform receive stochastic opportunities to migrate to an entrant. They can accept a migration opportunity or wait for a future opportunity. In some circumstances, users have incentives to...

Recent contributions have questioned whether biofuels policies actually lead to emissions reductions, and thus lower climate costs. In this paper we make two contributions to the literature. First, we study the market effects of a renewable fuel standard. Opposed to most previous studies we...

I develop a stylized model of court procedures that resolve disputes concerning FRAND-encumbered standard essential patents (SEPs). I analyze the effects of injunctions and potential court-imposed FRAND rates on negotiated royalty rates. The SEP-holders' ability to hold-up is constrained by the...

This paper proposes a simple yet useful framework for evaluating vertical mergers in digital markets by distinguishing between product-specific and ecosystem-specific network effects. Vis-'a-vis no network effects, product-specific network effects amplify foreclosure and steering incentives, as...

Imports feature at all stages of production as well as in final consumption, and this is key to how tariff shocks play out. If imposed on imports in upstream sectors, import tariffs lower domestic output in downstream sectors; if imposed downstream, they raise upstream production. The aggregate...

We study the aggregate implications of production network formation in a quantitative multi-location general equilibrium trade model. Firms search for suppliers and buyers across locations subject to matching frictions, generating a gravity structure of production networks. We develop sufficient...

Market definition is essential for antitrust analysis, but challenging in settings with network effects, where substitution patterns depend on changes in network size. To address this challenge, we conduct an incentivized experiment to measure substitution patterns for TikTok, a popular social...

This paper proposes a Bayesian estimation framework for panel-data sets with binary dependent variables where a large number of cross-sectional units is observed over a short period of time, and cross-sectional units are interdependent in more than a single network domain. The latter provides...