Arbeitspapier

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

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.

Language
Englisch

Bibliographic citation
Series: Discussion Papers ; No. 480

Classification
Wirtschaft
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Railroads and Other Surface Transportation
Subject
Random utility models
Nested rank ordered logit models
Automobile demand
Alternative fuel vehicles

Event
Geistige Schöpfung
(who)
Dagsvik, John K.
Liu, Gang
Event
Veröffentlichung
(who)
Statistics Norway, Research Department
(where)
Oslo
(when)
2006

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Dagsvik, John K.
  • Liu, Gang
  • Statistics Norway, Research Department

Time of origin

  • 2006

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