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

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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.

Suggested Citation

  • John K. Dagsvik & Gang Liu, 2006. "A Framework for Analyzing Rank Ordered Panel Data with Application to Automobile Demand," Discussion Papers 480, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:480
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    File URL: http://www.ssb.no/a/publikasjoner/pdf/DP/dp480.pdf
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    References listed on IDEAS

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    1. McFadden, Daniel L., 1984. "Econometric analysis of qualitative response models," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 24, pages 1395-1457 Elsevier.
    2. Dagsvik, John K. & Wennemo, Tom & Wetterwald, Dag G. & Aaberge, Rolf, 2002. "Potential demand for alternative fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 36(4), pages 361-384, May.
    3. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, pages 351-378.
    4. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, pages 351-378.
    5. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
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    Cited by:

    1. Geir H. Bjertnæs, 2013. "Are tax exemptions for electric cars an efficient climate policy measure?," Discussion Papers 743, Statistics Norway, Research Department.
    2. Geir H. Bjertnæs, 2013. "Biofuel mandate versus favourable taxation of electric cars. The case of Norway," Discussion Papers 745, Statistics Norway, Research Department.
    3. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.

    More about this item

    Keywords

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

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

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