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Understanding gasoline price dispersion
Abstract 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, contribute up to another 33 % to the price dispersion. While state taxes explain about 12 % of the price dispersion, spatial factors such as local agglomeration externalities, land prices, and distribution costs of gasoline explain up to about 4 %. The contribution of brand-specific factors is relatively minor.
Understanding gasoline price dispersion
Abstract 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, contribute up to another 33 % to the price dispersion. While state taxes explain about 12 % of the price dispersion, spatial factors such as local agglomeration externalities, land prices, and distribution costs of gasoline explain up to about 4 %. The contribution of brand-specific factors is relatively minor.
Understanding gasoline price dispersion
Yilmazkuday, Demet (author) / Yilmazkuday, Hakan (author)
2016
Article (Journal)
Electronic Resource
English
BKL:
83.64$jRegionalwirtschaft
/
74.12
Stadtgeographie, Siedlungsgeographie
/
38.00$jGeowissenschaften: Allgemeines
/
38.00
Geowissenschaften: Allgemeines
/
83.64
Regionalwirtschaft
/
74.12$jStadtgeographie$jSiedlungsgeographie
RVK:
ELIB39
/
ELIB18
/
ELIB45
Local classification FBW:
oek 4450
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