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1994•Journal of Applied EconometricsRequires access

Rank‐ordered logit models: An empirical analysis of Ontario voter preferences

Gary M. Koop, Dale J. Poirier

Open publisher page 55 citations

Abstract

Abstract This study provides a Bayesian investigation of rank‐ordered multinominal 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.

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Abstract This study provides a Bayesian investigation of rank‐ordered multinominal 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.

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Available abstract

Abstract This study provides a Bayesian investigation of rank‐ordered multinominal 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.

Key concepts: Multinomial logistic regression, Multinomial probit, Mixed logit, Econometrics, Logit, Independence of irrelevant alternatives, Prior probability, Rank (graph theory)

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