  Identification of multinomial choice models is often established by using
special covariates that have full support. This paper 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
$\sqrt{n}$-consistent asymptotically normal estimator of the finite-dimensional
parameters of the model.
