|
|
Modeling micro-spatial employment location patterns: a comparison of count and choice approaches.(Report)
- Article from:
-
Geographical Analysis
- Article date:
-
April 1, 2008
- Author:
- Kim, Hyungtai; Waddell, Paul; Shankar, Venkataraman N.; Ulfarsson, Gudmundur F.
|
Copyright informationCOPYRIGHT 2008 Ohio State University Press. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group. (Hide copyright information)
|
This article studies employment location patterns in the Puget Sound Region of Washington State at a micro level of geography. Traditional discrete choice modeling using multinomial logit (MNL) models may be problematic at a micro level of geography due to the high dimensionality of the set of alternative locations and the likely violations of the independence from irrelevant alternatives (IIA) assumption. Count models are free from the IIA assumption and, unlike logit models, actually benefit from large numbers of alternatives by adding degrees of freedom. This study identifies the best-fitting count model as the zero-inflated negative binomial (ZINB) model, because this model more ...