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

John Dagsvik and Gang Liu
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Gang Liu: Statistics Norway, https://www.ssb.no/en/forskning/ansatte

Discussion Papers from Statistics Norway, Research Department

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)
Date: 2006-10
New Economics Papers: this item is included in nep-dcm, nep-ecm and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:ssb:dispap:480

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