"This paper uses over two years of weekly scanner data from two small US cities to characterize time and state dependence of grocers' pricing decisions. In these data, the probability of a nominal adjustment declines with the time since the last price change. This reflects differences over time...

This paper uses over two years of weekly scanner data from two small US cities to characterize time and state dependence of grocers' pricing decisions. In these data, the probability of a nominal adjustment declines with the time since the last price change. This reflects differences over time...

We assess the ability of the cross sectional price distribution to react to shocks from the point of view of a Prescott “hotels” type model, using a sample of 435 products in 75 stores over 121 weeks. We argue that the cross sectional distribution is flexible in spite of the price repetition...