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An Analysis of Rank Ordered Data

Author

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  • Paudel, Krishna P.
  • Poudel, Biswo N.
  • Dunn, Michael A.
  • Pandit, Mahesh

Abstract

Many methods are available to analyze rank ordered data. We used a spectral density method to analyze Formosan subterranean termite control options ranked by Louisiana homeowners. Respondents are asked to rank termite control options from the most preferred to the least preferred option. Spectral analysis results indicated that the most preferred termite control choice is a relatively cheap ($0.13 per square foot) option of liquid treatment.

Suggested Citation

  • Paudel, Krishna P. & Poudel, Biswo N. & Dunn, Michael A. & Pandit, Mahesh, 2009. "An Analysis of Rank Ordered Data," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49518, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea09:49518
    DOI: 10.22004/ag.econ.49518
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    File URL: https://ageconsearch.umn.edu/record/49518/files/AAEA%202009.pdf
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    References listed on IDEAS

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    1. Jon A. Breslaw, 2002. "Multinomial probit estimation without nuisance parameters," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 417-434, June.
    2. Koop, G & Poirier, D J, 1994. "Rank-Ordered Logit Models: An Empirical Analysis of Ontario Voter Preferences," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(4), pages 369-388, Oct.-Dec..
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    Cited by:

    1. Park, Joonyong & Kim, Renee B., 2018. "A new approach to segmenting multichannel shoppers in Korea and the U.S," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 163-178.

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