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.

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 480

Klassifikation
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
Thema
Random utility models
Nested rank ordered logit models
Automobile demand
Alternative fuel vehicles

Ereignis
Geistige Schöpfung
(wer)
Dagsvik, John K.
Liu, Gang
Ereignis
Veröffentlichung
(wer)
Statistics Norway, Research Department
(wo)
Oslo
(wann)
2006

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

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

Entstanden

  • 2006

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