Individual Characteristics and Stated Preferences for Alternative Energy Sources and Propulsion Technologies in Vehicles: A Discrete Choice Analysis
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Cited by:
- J�r�me Massiani, 2013. "The use of Stated Preferences to forecast alternative fuel vehicles market diffusion: Comparisons with other methods and proposal for a Synthetic Utility Function," Working Papers 2013:12, Department of Economics, University of Venice "Ca' Foscari".
- Ranjit R. Desai & Eric Hittinger & Eric Williams, 2022. "Interaction of Consumer Heterogeneity and Technological Progress in the US Electric Vehicle Market," Energies, MDPI, vol. 15(13), pages 1-25, June.
- J�r�me Massiani, 2013. "SP surveys for electric and alternative fuel vehicles: are we doing the right thing?," Working Papers 2013_01, Department of Economics, University of Venice "Ca' Foscari".
- Daziano, Ricardo A. & Chiew, Esther, 2012. "Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation," Energy Policy, Elsevier, vol. 51(C), pages 876-894.
- Hasan-Basri, Bakti & Mohd Mustafa, Muzafarshah & Bakar, Normizan, 2019. "Are Malaysian Consumers Willing to Pay for Hybrid Cars’ Attributes?," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(1), pages 121-134.
- David Tuesta, 2015. "The informal economy and the constraints that it imposes on pension contributions in Latin America," Working Papers 1419, BBVA Bank, Economic Research Department.
- Gottschalk, Sandra, 2013. "The Research Data Centre of the Centre for European Economic Research (ZEW-FDZ)," ZEW Discussion Papers 13-051, ZEW - Leibniz Centre for European Economic Research.
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More about this item
Keywords
Alternative energy sources and propulsion technologies in vehicles; stated preferences; discrete choice; multinomial probit models; unobserved heterogeneity; simulated maximum likelihood estimation;All these keywords.
JEL classification:
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
- Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-DCM-2010-05-02 (Discrete Choice Models)
- NEP-ENE-2010-05-02 (Energy Economics)
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