Ordering either a cab, buying some food, or purchasing any article over the internet usually offers a price that you believe is most reasonable and (usually) cheaper than those offering similar services offline. What makes this different is the pricing strategy which decides the price of similar...

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...

Over the past couple of years, many competition and antitrust scholars have feared the dawn of ‘algorithmic collusion’. Some have thus suggested expanding the notions of ‘collusion’ and ‘agreement’ in order to capture such coordination. Rather than using an expansive reading of...

This paper contributes to the ongoing debate on the plausibility of tacit collusion between sellers in algorithmic marketplaces, which can be detrimental to customers and social welfare. We study a broad class of assortment decisions routinely made by sellers on online platforms, including which...

We consider a vertically related market where one quantity-setting and another price-setting downstream firm negotiate the terms of a two-part tariff contract with an upstream input supplier. In contrast to the traditional belief, we show that the price-setting firm produces a higher output and...

We present a model to explain why a manufacturer may impose a minimum resale price (min RPM) in a successive monopoly setting. Our argument relies on the retailer having non-contractible choice variables, which could represent the price of a substitute good and/or the effort the retailer exerts...