Abstract

GUARIN, Arlen; RAMIREZ, Andrés  and  TORRES, Felipe. MULTINOMIAL MODELS: AN ANALYSIS OF THEIR PROPERTIES. Rev. ing. univ. Medellín [online]. 2012, vol.11, n.20, pp.87-104. ISSN 1692-3324.

This paper develops an analysis of Multinomial models through simulation; this was done under correct and incorrect assumptions on the data generating process. Also, it was analyzed the performance of the models under different sample sizes. It was found that a correct specified model with samples of 200 or more observations achieves estimators which are unbiased and consistent, while incorrect assumptions about the data generating process causes biased and inconsistent estimators. On the other hand, conditional models with small sample sizes imply bad statistical properties, especially when Probit models are estimated.

Keywords : Multinomial models; conditional models; simulation; statistical properties.

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