Controlling for Overdispersion in Grouped Conditional Logit Models : A Computationally Simple Application of Dirichlet-Multinomial Regression  

Oleh:

Guimaraes, Paulo ; Lindrooth, Richard C.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The Econometrics Journal vol. 10 no. 2 (2007), page 439–452.
Topik: multinomial logistics; conditional logit; dirichlet - multinomial; hospital choice; overdispersion
Fulltext: 439.pdf (496.32KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: EE39.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

In this article, we provide a random utility - based derivation of the Dirichlet - multinomial regression and propose 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 discuss its relationship with count models. Finally, we use a data set on patient choice of hospitals to illustrate an application of the Dirichlet - multinomial regression.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali