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Identification of multinomial choice models is often established by using special covariates that have full support. This article shows how these identification results can be extended to a large class of multinomial choice models when all covariates are bounded. I also provide a new-consistent asymptotically normal estimator of the finite-dimensional parameters of the model.

Identification and Estimation of Multinomial Choice Models with Latent Special Covariates