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Rank-Ordered Logit Models: An Empirical Analysis of Ontario Voter Preferences

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  • Koop, G
  • Poirier, D J

Abstract

This study provides a Bayesian investigation of rank-ordered multinomial logit models employing conjugate priors for standard multinomial logit models as well as other priors. Also considered is a specification test of the independence of irrelevant alternatives assumption. The proposed techniques are demonstrated in an empirical investigation of Ontario voter preferences before the 1988 Canadian Federal Election. Copyright 1994 by John Wiley & Sons, Ltd.

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  • 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..
    • Handle: RePEc:jae:japmet:v:9:y:1994:i:4:p:369-88
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    Cited by:

    1. Mulatu Debalke, Negash, 2011. "Determinants of farmers’ preference for adaptation strategies to climate change: evidence from north shoa zone of Amhara region Ethiopia," MPRA Paper 48753, University Library of Munich, Germany.
    2. Poirier, Dale J., 1997. "Comparing and choosing between two models with a third model in the background," Journal of Econometrics, Elsevier, vol. 78(2), pages 139-151, June.
    3. Lei Zhang & David Levinson, 2006. "Determinants of Route Choice and the Value of Traveler Information," Working Papers 200808, University of Minnesota: Nexus Research Group.
    4. McCabe, Christopher & Brazier, John & Gilks, Peter & Tsuchiya, Aki & Roberts, Jennifer & O'Hagan, Anthony & Stevens, Katherine, 2006. "Using rank data to estimate health state utility models," Journal of Health Economics, Elsevier, vol. 25(3), pages 418-431, May.
    5. Alain Carpentier & Karine Latouche & Pierre Rainelli & . Association of Environmental And Resource Economists, 2002. "Food safety in the demand for meat quality : the case of pork chops in France," Post-Print hal-01937048, HAL.
    6. McCabe, C & Brazier, J & Gilks, P & Tsuchiya, A & Roberts, J & O'Hagan, A & Stevens, K, 2004. "Estimating population cardinal health state valuation models from individual ordinal (rank) health state preference data," MPRA Paper 29759, University Library of Munich, Germany.
    7. Philip Yu, 2000. "Bayesian analysis of order-statistics models for ranking data," Psychometrika, Springer;The Psychometric Society, vol. 65(3), pages 281-299, September.
    8. Can Cui & Susheela P. Singh & Ana‐Maria Staicu & Brian J. Reich, 2021. "Bayesian variable selection for high‐dimensional rank data," Environmetrics, John Wiley & Sons, Ltd., vol. 32(7), November.
    9. Dennis Fok & Richard Paap & Bram Van Dijk, 2012. "A Rank‐Ordered Logit Model With Unobserved Heterogeneity In Ranking Capabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 831-846, August.
    10. Marco A. Palma, 2017. "Improving the prediction of ranking data," Empirical Economics, Springer, vol. 53(4), pages 1681-1710, December.
    11. 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.
    12. Poirier, Dale J., 1996. "A Bayesian analysis of nested logit models," Journal of Econometrics, Elsevier, vol. 75(1), pages 163-181, November.

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