Incorporating the effects of spatial structure in discrete choice models of migration.
Discrete-choice theory and logit models are evaluated for their usefulness in analyzing migration patterns in a zonal system.  The authors "argue that spatial effects and more specifically the relative location of zones are not taken into account in such analyses.  We, therefore, introduce a measure of spatial structure and advocate its usage as a predictor of migration in such models.  In an example of intrametropolitan migration in Toronto [Canada], we demonstrate that this variable is not only significant but also it improves the performance of all the other variables with the greatest impact on the distance between zones.  In addition, inclusion of this variable improves the overall performance of the model in terms of residuals."
D000569:Americas; D002170:Canada; D003710:Demography; D019049:Developed Countries; D003906:Developing Countries; D004641:Emigration and Immigration; D005069:Evaluation Studies as Topic; D005843:Geography; D006297:Health Services Accessibility; D008962:Models, Theoretical; D009656:North America; D011153:Population; D011157:Population Dynamics; D012106:Research; D012107:Research Design; D013223:Statistics as Topic
Americas; Canada; Demographic Factors; Developed Countries; Developing Countries; Distance; Estimation Technics; Evaluation; Evaluation Methodology; Geographic Factors; Measurement; Migration; Migration, Internal; Models, Theoretical; North America; Northern America; Population; Population Dynamics; Research Methodology; Rural-urban Migration; Spatial Distribution