Documentos de trabajo
Modelos multinomiales: un análisis de sus propiedades
Fecha
2011-06-13Autor
Guarin Galeano, Arlen Yahir
Ramírez Hassan, Andrés
Torres, Juan Felipe
Institución
Resumen
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.