Dirichlet-Multinomial Regression

In this paper we provide a Random-Utility based derivation of the Dirichlet-Multinomial regression and posit it as a convenient alternative for dealing with overdispersed multinomial data. We show that this model is a natural extension of McFadden's conditional logit for grouped data and show how it relates with count models. Finally, we use a data set on patient choice of hospitals to illustrate an application of the Dirichlet-Multinomial regression.

MoreLess

Year of publication:	2005-09-01
Authors:	Guimaraes, Paulo ; Lindrooth, Richard
Institutions:	EconWPA
Subject:	dirichlet-multinomial \| grouped conditional logit \| hospital choice \| overdispersion

More details

Extent:	application/pdf
Series:	Econometrics.
Type of publication:	Book / Working Paper
Notes:	Type of Document - pdf; pages: 24 24 pages
Classification:	C25 - Discrete Regression and Qualitative Choice Models ; C21 - Cross-Sectional Models; Spatial Models ; I11 - Analysis of Health Care Markets
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005119073