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Asymmetry in transport fuel demand: Evidence from household level data
Institution:1. MARETEC - Marine, Environment and Technology Center, Department of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal;2. Sustainability Research Institute, School of Earth and Environment, University of Leeds, LS2 9JT, UK;3. Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK;4. Department of Economic History, Lund University, Box 7083, S-220 07 Lund, Sweden;5. Sussex Energy Group, Science Policy Research Unit, Jubilee Building, University of Sussex, Brighton BN1 9QE, UK;1. CESUR/CEris, IST, Universidade de Lisboa, Avenida Rovisco Pais, 1049-001 Lisbon, Portugal;2. ISEG (Lisbon School of Economics & Management), Universidade de Lisboa, Rua do Quelhas, 6, 1200-781 Lisboa, Portugal;3. UECE (Research Unit on Complexity and Economics), Rua Miguel Lupi, 20, 1249-078, Lisboa, Portugal;1. School of Forestry & Environmental Studies, Department of Economics, School of Management, Yale University, United States;2. National Bureau of Economic Research, United States;3. Department of Engineering and Public Policy, Carnegie-Mellon University, United States
Abstract:Models for gasoline demand for transportation activities generally assume that demand is perfectly reversible with respect to gasoline price (and income). The small literature which relaxes the reversibility assumption in gasoline demand argues technological fixation leads to this asymmetry and utilizes aggregate time-series model to find evidence in favour of asymmetry. In this research it is suggested that there could also be behavioural factors behind this asymmetric response, possibly due to the loss aversion nature of human beings as described in the prospect theory. For the first time, household level data was used to understand asymmetry in gasoline demand in response to changes in gasoline price and income. There was statistical evidence that gasoline price and income both can induce asymmetric changes in gasoline demand among households. Specifically, elasticity with respect to rising prices and falling income is larger than the elasticity with respect to falling prices and rising income respectively, which is consistent with loss aversion in gasoline purchase behaviour. There was also some evidence of heterogeneity in the asymmetric responses between urban and rural households. The results have implications for transport-related energy tax policies or subsidies, while the method can be applied directly for non-energy goods as well.
Keywords:Asymmetry  Reversibility  Gasoline demand  Elasticity  Transport fuel  Behavioural response
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