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

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 st...

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Veröffentlicht in:	PloS one Jg. 10; H. 6; S. e0130761
Hauptverfasser:	Dong, Guanpeng, Harris, Richard, Jones, Kelvyn, Yu, Jianhui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 18.06.2015 Public Library of Science (PLoS)
Schlagworte:	Autoregressive processes Beijing Commerce Computer Simulation Data processing Dependence Econometrics Economic models Geographic Information Systems Geography Group effects Mathematical models Modelling Models, Economic Models, Statistical Monte Carlo Method Monte Carlo methods Monte Carlo simulation Motivation Multilevel Multilevel Analysis Parameter estimation Performance assessment Social sciences Spatial Analysis Spatial data Beijing Beijing China New York United Kingdom > UK United States > US China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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