We model differentiated product pricing by firms that possess private information about serially-correlated state variables, such as their marginal costs, and can use prices to signal information to rivals. In a dynamic game, signaling can raise prices significantly above static complete...

While inferring markups from demand data is common practice, estimation relies on difficult-to-test assumptions, including a specific model of how firms compete. Alternatively, markups can be inferred from production data, again relying on a set of difficult-to-test assumptions, but a wholly...

Merger efficiencies provide the primary justification for why mergers of competitors may benefit consumers. Surprisingly, there is little evidence that efficiencies can offset incentives to raise prices following mergers. We estimate the effects of increased concentration and efficiencies on...

Supply chain disruptions, which have become commonplace, are often associated with globalization and trade. Little is known about optimal policy in the face of insecure supply chains. Should governments promote resilience by subsidizing backup sources of input supply? Should they encourage firms...

Covid-19 highlighted the weaknesses in the supply chain. Many have argued that a more resilient or robust supply chain is needed. But what does a robust supply chain mean? And how do firms' decisions change when taken that approach? This paper studies a very stylized model of a supply chain,...

Recent supply disruptions catapulted the issue of risk in global supply chains (GSCs) to the top of policy agendas and created the impression that shortages would have been less severe if GSCs were either shorter and more domestic, or more diversified. But is this right? We start our answer by...

Food manufacturing and processing is an important link between agricultural producers and consumers in the agricultural supply chain. The food manufacturing sector in the United States is both increasingly mechanized and increasingly concentrated. Consequently, labor risks in food manufacturing...

We use a detailed micro dataset on product availability to construct a direct high-frequency measure of consumer product shortages during the 2020-2021 pandemic. We document a widespread multi-fold rise in shortages in nearly all sectors early in the pandemic. Over time, the composition of...