Replication data for: High Frequency Evidence on the Demand for Gasoline
Description
Daily city-level expenditures and prices are used to estimate the price responsiveness of gasoline demand in the United States. Using a frequency of purchase model that explicitly acknowledges the distinction between gasoline demand and gasoline expenditures, the price elasticity of demand is consistently found to be an order of magnitude larger than estimates from recent studies using more aggregated data. Estimating demand using higher levels of spatial and temporal aggregation is shown to produce increasingly inelastic estimates. A decomposition is then developed and implemented to understand the relative importance of several different factors in explaining this result.
Publication Date
1-1-2017
Publisher
ICPSR
DOI
10.3886/e114607v1
Document Type
Data Set
Recommended Citation
Lewis, Matthew S.; Wolak, Frank A.; Levin, Laurence (2017), "Replication data for: High Frequency Evidence on the Demand for Gasoline", ICPSR, doi: 10.3886/e114607v1
https://doi.org/10.3886/e114607v1
Identifier
10.3886/e114607v1
Embargo Date
1-1-2017
Version
1