Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/192462 
Erscheinungsjahr: 
2006
Schriftenreihe/Nr.: 
Discussion Papers No. 480
Verlag: 
Statistics Norway, Research Department, Oslo
Zusammenfassung: 
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.
Schlagwörter: 
Random utility models
Nested rank ordered logit models
Automobile demand
Alternative fuel vehicles
JEL: 
C25
C33
L92
Dokumentart: 
Working Paper

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