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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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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 9 (1994)
Issue (Month): 4 (Oct.-Dec.)
Pages: 369-88

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Handle: RePEc:jae:japmet:v:9:y:1994:i:4:p:369-88

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Cited by:
  1. Philip Yu, 2000. "Bayesian analysis of order-statistics models for ranking data," Psychometrika, Springer, vol. 65(3), pages 281-299, September.
  2. van Dijk, A. & Fok, D. & Paap, R., 2007. "A rank-ordered logit model with unobserved heterogeneity in ranking capabilities," Econometric Institute Research Papers EI 2007-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  3. 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.
  4. Lei Zhang & David Levinson, 2006. "Determinants of Route Choice and the Value of Traveler Information," Working Papers 200808, University of Minnesota: Nexus Research Group.

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