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Multinomial probit

Stata can fit multinomial probit (MNP) models, including models with alternative- and case-specific variables. Stata’s estimator can accommodate heteroskedastic variances and estimate any desired correlation structure among the alternatives (choices). It also can estimate these types of standard errors: model based, robust, cluster–robust, bootstrap, and jackknife.

Explore Stata 12’s resources on multinomial probit.

Overview of multinomial probit in Stata

List of multinomial probit features

Introduction to multinomial probit with examples (from the Stata manual)

See Stata’s dialog box for asmprobit

Stata Press publishes a 527-page book by J. Scott Long and Jeremy Freese that includes topics for fitting and interpreting multinomial probit models.

Stata Journal article

“Generating Halton sequences using Mata” by David M. Drukker and Richard Gates (abstract) (full article)

Stata is also a complete integrated statistical package that provides everything you need for data analysis, data management, and graphics. To learn more, click here.