We study the link between price points and price rigidity using two data sets: weekly scanner data and Internet data. We find that “9” is the most frequent ending for the penny, dime, dollar, and ten-dollar digits; the most common price changes are those that keep the price endings at...

We study the link between price points and price rigidity, using two datasets: weekly scanner data, and Internet data. We find that: “9” is the most frequent ending for the penny, dime, dollar and ten-dollar digits; the most common price changes are those that keep the price endings at...

We offer new evidence on the link between price points and price rigidity using two datasets. One is a large weekly transaction price dataset, covering 29 product categories over an eight-year period from a large U.S. supermarket chain. The other is from the Internet, and includes daily prices...

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...

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...

Analyses of a large retail scanner price data set reveal a new and surprising regularity – small price increases occur more frequently than small price decreases for price changes of up to 10¢. That is, we find asymmetric price adjustment “in the small.” Furthermore, it turns out that...

Analyzing scanner price data that cover 27 product categories over an eight-year period from a large Mid-western supermarket chain, we uncover a surprising regularity in the data—small price increases occur more frequently than small price decreases. We find that this asymmetry holds for price...

Analyzing scanner price data that cover 27 product categories over an eight-year period from a large Mid-western supermarket chain, we uncover a surprising regularity in the data—small price increases occur more frequently than small price decreases. We find that this asymmetry holds for price...

Analyzing a large weekly retail transaction price dataset, we uncover a surprising regularity— small price increases occur more frequently than small price decreases for price changes of up to about 10 cents, while there is no such asymmetry for larger price changes. The asymmetry holds for...

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...