Increasingly, retailers have access to better pricing technology, especially in online markets. Firms employ automated pricing algorithms that allow for high-frequency price changes. What are the implications for price competition? We develop a model of price competition where firms can differ...

We study the pricing decision of firms in the presence of consumer inertia. Inertia can arise from habit formation, brand loyalty, switching costs, or search, and it has important implications for the interpretation of equilibrium outcomes and counterfactual analysis. In particular, consumer...

When deciding whether to introduce market competition into a regulated industry, a regulator faces an important tradeoff. Market-based prices can provide incentives to allocate resources more efficiently and reduce costs, but the presence of market power may lead to increased markups. We use a...

We characterize the evolution of markups for consumer products in the United States from 2006 to 2019. We use detailed data on prices and quantities for products in more than 100 distinct product categories to estimate demand systems with flexible consumer preferences. We recover markups under...

This study is the first to estimate the empirical effects of minimum resale price maintenance (RPM) across a broad variety of products. We analyze conflicting theories using an exogenous state-level law change resulting from the 2007 Leegin Supreme Court decision. In states where RPM contracts...

Pricing algorithms are rapidly transforming markets, from ride-sharing apps, to air travel, to online retail. Regulators and scholars have watched this development with a wary eye. Their focus so far has been on the potential for pricing algorithms to facilitate explicit and tacit collusion....