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Multilevel Modelling with Spatial Effects

Luisa Corrado and Bernard Fingleton ()

No 2011-13, SIRE Discussion Papers from Scottish Institute for Research in Economics (SIRE)

Abstract: In multilevel modelling, interest in modeling the nested structure of hierarchical data has been accompanied by increasing attention to different forms of spatial interactions across different levels of the hierarchy. Neglecting such interactions is likely to create problems of inference, which typically assumes independence. In this paper we review approaches to multilevel modelling with spatial effects, and attempt to connect the two literatures, discussing the advantages and limitations of various approaches.

Keywords: Multilevel Modelling; Spatial Effects; Fixed Effects; Random Effects; IGLS; FGS2SLS (search for similar items in EconPapers)
Date: 2011
New Economics Papers: this item is included in nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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