Multilevel Modelling with Spatial Interaction Effects with Application to an Emerging Land Market in Beijing, China.

ABSTRACT: This paper develops a methodology for extending multilevel modelling to incorporate spatial interaction effects. The motivation is that classic multilevel models are not specifically spatial. Lower level units may be nested into higher level ones based on a geographical hierarchy (or a membership structure--for example, census zones into regions) but the actual locations of the units and the distances between them are not directly considered: what matters is the groupings but not how close together any two units are within those groupings. As a consequence, spatial interaction effects are neither modelled nor measured, confounding group effects (understood as some sort of contextual effect that acts 'top down' upon members of a group) with proximity effects (some sort of joint dependency t

SUBMITTER: Dong G 

PROVIDER: S-EPMC4473121 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature