Markups and Cost Pass-through Along the Supply Chain

Santiago Alvarez-Blaser, Alberto Cavallo, Alexander MacKay, Paolo Mengano

We study markups and pricing strategies along the supply chain. Our unique dataset combines detailed price and cost information from a large global manufacturer with matched retail prices collected online for the period July 2018 through June 2023. We show that total markups—reflecting the difference between retail prices and production costs—are stable over time, despite the inflationary period at the end of the sample. Along the supply chain, manufacturer and retail markups are negatively correlated. For the most part, we find similar patterns across countries, though there is substantial heterogeneity in the split of markups between the manufacturer and retailers. Our analysis also reveals divergent pricing behaviors in response to cost shocks. The manufacturer adjusts prices more quickly than retailers and appears to more fully incorporate idiosyncratic cost shocks to specific products. Both types of firms respond more quickly to expected costs than to unexpected costs.

Consumer Inertia and Market Power

Alexander MacKay and Marc Remer

We provide an empirical model to estimate the dynamic pricing incentives generated by consumer inertia (habit formation, search, brand loyalty, and switching costs). We show that these dynamic incentives can limit price increases after a merger, compared to the predictions from a static model.

Dynamic Pricing and Demand Volatility: Evidence from Restaurant Food Delivery

Alexander MacKay, Dennis Svartbäck and Anders G. Ekholm

We study the staggered adoption of a dynamic pricing algorithm. We find that high-frequency pricing led to lower prices and lower demand volatility. Our findings indicate that consumers strategically time their purchases, and we highlight how firms can benefit from this strategic behavior through dynamic pricing that results in lower costs.