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Identification of semiparametric discrete outcome models with bounded covariates

Nail Kashaev

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Abstract: Identification of discrete outcome 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 commonly used semiparametric discrete outcome models when all covariates are bounded. I apply the proposed methodology to multinomial choice models, bundles models, and finite games of complete information.

New Economics Papers: this item is included in nep-ecm
Date: 2018-11
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