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A Framework for Analyzing Rank Ordered Panel Data with Application to Automobile Demand

John K. Dagsvik and Gang Liu ()
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John K. Dagsvik and Gang Liu: Statistics Norway, http://www.ssb.no/english/research/

Authors registered in the RePEc Author Service: John K. Dagsvik

Discussion Papers from Research Department of Statistics Norway

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.

Keywords: Random utility models; Nested rank ordered logit models; Automobile demand; Alternative fuel vehicles (search for similar items in EconPapers)
JEL-codes: C25 C33 L92 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm, nep-ecm and nep-upt
Date: 2006-10
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Persistent link: http://EconPapers.repec.org/RePEc:ssb:dispap:480

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