【摘要】This paper models and estimates the gasoline price dispersion across time and space by using a unique data set at the gas station level within the USA. Nationwide effects (measured by time fixed effects or crude oil prices) explain up to about 51% of the gasoline price dispersion across stations. Refinery-specific costs; which have been ignored in the literature due to using local data sets within the USA; contributeup to another 33% to the price dispersion. While state taxes explain about 12% ofthe price dispersion; spatial factors such as local agglomeration externalities; landprices; and distribution costs of gasoline explain up to about 4%. The contribution ofbrand-specific factors is relatively minor.

【文献来源】Yilmazkuday D;Yilmazkuday H.Annals of regional Science.2016（1）