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dc.contributor.author
Ziegler, Andreas
dc.date.accessioned
2019-05-24T12:34:48Z
dc.date.available
2017-06-09T08:19:30Z
dc.date.available
2017-08-17T11:50:37Z
dc.date.available
2019-05-24T12:34:48Z
dc.date.issued
2010-03
dc.identifier.uri
http://hdl.handle.net/20.500.11850/27073
dc.identifier.doi
10.3929/ethz-a-006032056
dc.description.abstract
This paper empirically examines the determinants of the demand for alternative energy sources and propulsion technologies in vehicles. The data stem from a stated preference discrete choice experiment with 598 potential car buyers. In order to simulate a realistic automobile purchase situation, seven alternatives were incorporated in each of the six choice sets, i.e. hybrid, gas, biofuel, hydrogen, and electric as well as the common fuels gasoline and diesel. The vehicle types were additionally characterized by a set of attributes, such as purchase price or motor power. Besides these vehicle attributes, our study particularly considers a multitude of individual characteristics, such as socio-demographic and vehicle purchase variables. The econometric analysis with multinomial probit models identifies some population groups with a higher propensity for alternative energy sources or propulsion technologies in vehicles, which can be focused by policy and automobile firms. For example, younger people and people who usually purchase environment-friendly products have a higher stated preference to purchase biofuel, hydrogen, and electric automobiles than other population groups. Methodologically, our study highlights the importance of the inclusion of taste persistence across the choice sets. Furthermore, it suggests a high number of random draws in the Geweke- Hajivassiliou-Keane simulator, which is incorporated in the simulated maximum likelihood estimation and the simulated testing of statistical hypotheses.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH, Swiss Federal Institute of Technology, CER-ETH - Center of Economic Research at ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Alternative energy sources and propulsion technologies in vehicles
en_US
dc.subject
Stated preferences
en_US
dc.subject
Discrete choice
en_US
dc.subject
Multinomial probit models
en_US
dc.subject
Unobserved heterogeneity
en_US
dc.subject
Simulated maximum likelihood estimation
en_US
dc.title
Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: a discrete choice analysis
en_US
dc.type
Working Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.journal.title
Economics Working Paper Series
ethz.journal.volume
10/125
en_US
ethz.size
34 p.
en_US
ethz.code.ddc
DDC - DDC::3 - Social sciences::330 - Economics
en_US
ethz.code.ddc
DDC - DDC::5 - Science::510 - Mathematics
en_US
ethz.code.ddc
DDC - DDC::3 - Social sciences::333.7 - Natural resources, energy and environment
en_US
ethz.code.jel
JEL - JEL::R - Urban, Rural, Regional, Real Estate, and Transportation Economics::R4 - Transportation Economics::R41 - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
en_US
ethz.code.jel
JEL - JEL::C - Mathematical and Quantitative Methods::C2 - Single Equation Models; Single Variables::C25 - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
en_US
ethz.code.jel
JEL - JEL::C - Mathematical and Quantitative Methods::C1 - Econometric and Statistical Methods and Methodology: General::C15 - Statistical Simulation Methods: General
en_US
ethz.code.jel
JEL - JEL::Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics::Q5 - Environmental Economics::Q54 - Climate; Natural Disasters and Their Management; Global Warming
en_US
ethz.code.jel
JEL - JEL::Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics::Q5 - Environmental Economics::Q58 - Government Policy
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03635 - Bretschger, Lucas (emeritus) / Bretschger, Lucas (emeritus)
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03635 - Bretschger, Lucas (emeritus) / Bretschger, Lucas (emeritus)
ethz.relation.isPreviousVersionOf
20.500.11850/55611
ethz.date.deposited
2017-06-09T08:19:58Z
ethz.source
ECOL
ethz.source
ECIT
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imp59364d728a10c69221
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imp59366ae84f0ef51636
ethz.ecolpid
eth:1063
ethz.ecitpid
pub:45834
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-15T14:30:14Z
ethz.rosetta.lastUpdated
2024-02-02T08:07:59Z
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true
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