Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/192462 
Year of Publication: 
2006
Series/Report no.: 
Discussion Papers No. 480
Publisher: 
Statistics Norway, Research Department, Oslo
Abstract: 
In this paper we develop a framework for analyzing panel data with observations on rank ordered alternatives that allows for correlated random taste shifters across time and across alternatives. As a special case we obtain a nested logit model type for rank ordered alternatives. We have applied this framework to estimate several model versions for household demand for conventional and alternative fuel automobiles in Shanghai based on rank ordered data obtained from a stated preference survey. The preferred model is then used to calculate demand probabilities and elasticities and the willingness-to-pay for alternative fuel vehicles.
Subjects: 
Random utility models
Nested rank ordered logit models
Automobile demand
Alternative fuel vehicles
JEL: 
C25
C33
L92
Document Type: 
Working Paper

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