Dirichlet-Multinomial Regression

Paulo Guimaraes and Richard Lindrooth

Econometrics from University Library of Munich, Germany

Abstract: 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.

Keywords: dirichlet-multinomial; grouped conditional logit; hospital choice; overdispersion (search for similar items in EconPapers)
JEL-codes: C21 C25 I11 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2005-09-01
New Economics Papers: this item is included in nep-dcm and nep-ecm
Note: Type of Document - pdf; pages: 24
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0509/0509001.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpem:0509001

Access Statistics for this paper

More papers in Econometrics from University Library of Munich, Germany
Bibliographic data for series maintained by EconWPA ( this e-mail address is bad, please contact ).