This paper investigates the collusive and competitive effects of algorithmic price recommendations on market outcomes. These recommendations are often non-binding and common in many markets, especially on online platforms. We develop a theoretical framework and derive two algorithms that...

While many companies use algorithms to optimize their pricing, additional human oversight and price interventions are widespread. Human intervention can correct algorithmic flaws and introduce private information into the pricing process, but it may also be based on less sophisticated pricing...

As self-learning pricing algorithms become popular, there are growing concerns among academics and regulators that algorithms could learn to collude tacitly on non-competitive prices and thereby harm competition. I study popular reinforcement learning algorithms and show that they develop...

We study the incentives of firms that hold partial vertical ownership to foreclose rivals. Compared to a full vertical merger, with partial ownership, a firm may obtain only part of the target's profit but may nevertheless be able to influence the target's strategy significantly. The target may...

The established literature on partial vertical ownership has derived distinct pro- and anti-competitive effects, depending on whether the upstream or the downstream firm holds the shares (forward or backward). We show that forward ownership can have the same effects as backward ownership (and...

We characterize mixed-strategy equilibria when capacity constrained suppliers can charge location-based prices to different customers. We establish an equilibrium with prices that weakly increase in the costs of supplying a customer. Despite prices above costs and excess capacities, each...

We analyze the best price clauses (BPCs) of online travel agents (OTAs) using meta-search price data of nearly 30,000 hotels in different countries. We find that BPCs influence the pricing and availability of hotel rooms across online sales channels. In particular, hotels publish their offers...

We show that competing downstream firms may rather invest in their inefficient inhouse production than help improve the technology of the efficient supplier, even if this is costless. Even worse, a downstream firm can have strong incentives to decrease the efficiency of the supplier in order to...

We investigate whether online travel agents (OTAs) assign hotels worse positions in their search results if these set lower hotel prices at other OTAs or on their own websites. We formally characterize how an OTA can use such a strategy to reduce price differentiation across distribution...

This article studies competition in markets with transport costs and capacity constraints. We compare the outcomes of price competition and coordination in a theoretical model and find that when firms compete, they more often serve more distant customers who are closer to the competitor's plant....