Heterogeneity in price elasticity of vehicle kilometers traveled: Evidence from micro-level panel data

Arbeitspapier

This article presents an empirical estimation of the effect of fuel prices on vehicle kilometers traveled (VKT) using a panel dataset of 1,138 Swiss households. Elasticities are estimated for different segments of households, based on their socio-demographic and vehicle characteristics, as well as on their driving intensity. Our results indicate larger price elasticities than previous estimates based on aggregate data for Switzerland and reveal important heterogeneity in price sensitivity across segments. Households who live in urban areas, who live farther from their workplace, and who own more efficient vehicles are significantly more reactive to price variations. The results of a quantile regression model for panel data show that travel-intensive households are responsive to changes in gasoline price, while less intensive drivers do not exhibit statistically significant price elasticities. In addition to gasoline taxes, it therefore appears that non-price measures tailored to household segments would be useful to provide supplementary incentives to reduce distance traveled and/or avoid penalizing some specific groups.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IRENE Working Paper ; No. 20-12

Classification and Topics

• Classification: Wirtschaft ; Energy: General ; Energy: Demand and Supply; Prices ; Consumer Economics: Empirical Analysis ; Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise ; Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
• Subject: vehicle kilometers traveled (VKT) ; car-travel demand ; fuel price ; elasticities ; household behavior ; heterogeneity ; quantile regression ; panel data ; Switzerland

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Tilov, Ivan ; Weber, Sylvain
• Event: Veröffentlichung
• (who): University of Neuchâtel, Institute of Economic Research (IRENE)
• (where): Neuchâtel
• (when): 2020

Further information

• Handle: http://hdl.handle.net/10419/238295
• Last update: 10.03.2025, 11:43 AM CET