We use store-level data to document the exact process of changing prices and to directly measure menu costs at five multistore supermarket chains. We show that changing prices in these establishments is a complex process, requiring dozens of steps and a nontrivial amount of resources. The menu...

We empirically study the price adjustment process at multiproduct retail stores. We use a unique store level data set for five large supermarket and one drugstore chains in the USA, to document the exact process required to change prices. Our data set allows us to study this process in great...

We use a unique store-level data set to directly measure menu costs and to study the price change process at a large U.S. drugstore chain. We compare and contrast the magnitude of these measures with similar measures from 4 large U.S. supermarket chains. We find that (1) the actual magnitude of...

Despite its centrality to the topic, very little attention has been paid to the topic of price changes. Indeed, for the most part, organisations operate under the myth of costless price changes. This article broadens the definition of the costs of changing price and then presents strategic...

In this paper we investigate the size of markups for nationally branded products sold in the U.S. retail grocery industry. Using scanner data from a large Midwestern supermarket chain, we compute several measures of upper and lower bounds on markup ratios for over 230 nationally branded products...

The Thanksgiving-Christmas holiday period is a major sales period for US retailers. Due to higher store traffic, tasks, such as restocking shelves, handling customers' questions and inquiries, running cash registers, cleaning and bagging, become more urgent during holidays. As a result, the...

Using weekly retail transaction scanner price data from a large US supermarket chain, significantly higher retail price rigidity is found for private label products than for nationally branded products during the Christmas and Thanksgiving holiday periods relative to the rest of the year. The...

We combine two datasets to study price rigidity. The first consists of weekly time series of retail, wholesale, and spot prices for twelve products. These time series contain two exogenous cost shocks. We find that prices exhibit more rigidity in response to the second shock than the first. The...