1999RePEc: Research Papers in EconomicsOpen access

The Statistical Relationship between Bivariate and Multinomial Choice Models

Melvyn Weeks, Chris Orne

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Abstract

The authors demonstrate the conditions under which the bivariate probit model can be considered a special case of the more general multinomial probit model. Since the attendant parameter restrictions produce a singular covariance matrix, the subsequent problems of testing on the boundary of the parameter space are circumvented by the construction of a score test.

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The authors demonstrate the conditions under which the bivariate probit model can be considered a special case of the more general multinomial probit model. Since the attendant parameter restrictions produce a singular covariance matrix, the subsequent problems of testing on the boundary of the parameter space are circumvented by the construction of a score test.

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Available abstract

The authors demonstrate the conditions under which the bivariate probit model can be considered a special case of the more general multinomial probit model. Since the attendant parameter restrictions produce a singular covariance matrix, the subsequent problems of testing on the boundary of the parameter space are circumvented by the construction of a score test.

Key concepts: Multinomial probit, Bivariate analysis, Multivariate probit model, Econometrics, Multinomial distribution, Mathematics, Statistics, Multinomial logistic regression

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