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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...
Persistent link: https://www.econbiz.de/10005419897
This article uses weekly scanner data from two small U.S. 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. A store's price for a particular product typically...
Persistent link: https://www.econbiz.de/10010795639
Persistent link: https://www.econbiz.de/10010423976
"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...
Persistent link: https://www.econbiz.de/10003148618
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...
Persistent link: https://www.econbiz.de/10014061750