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

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...

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Bibliographic Details
Published in:Journal of applied econometrics (Chichester, England) England), 1994-10, Vol.9 (4), p.369-388
Main Authors: Koop, G., Poirier, D. J.
Format: Article
Language:English
Subjects:
Alliances
Bayesian analysis
Canada
Comparative studies
Density
Econometrics
Economic models
Economic theory
Elections
High income
Low income
Mathematical moments
Modeling
Observed choices
Ontario
Preferences
Probability
Ratings & rankings
Regression analysis
Socioeconomics
Standard deviation
State elections
Voter preferences
Voters
Voting behaviour
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Description
Summary: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.
ISSN:0883-7252
1099-1255
DOI:10.1002/jae.3950090406