Local and global spatial effects in hierarchical models
Lacombe, Donald J. and McIntyre, Stuart G. (2016) Local and global spatial effects in hierarchical models. Applied Economics Letters. ISSN 1350-4851 (https://doi.org/10.1080/13504851.2016.1142645)
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Abstract
Hierarchical models have a long history in empirical applications; recognition of the fact that many datasets of interest to applied econometricians are nested; counties within states, pupils within school, regions within countries, etc. Just as many datasets are characterized by nesting, many are also characterized by the presence of spatial dependence or spatial heterogeneity. Significant advances have been made in developing econometric techniques and models to allow applied econometricians to address this spatial dimension to their data. This paper fuses these two literatures together and combines a hierarchical model with the two general spatial econometric models.
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Item type: Article ID code: 56738 Dates: DateEvent10 February 2016Published10 February 2016Published Online12 January 2016AcceptedNotes: This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Economics Letters on 10/02/2016, available online: http://www.tandfonline.com/10.1080/13504851.2016.1142645 Subjects: Social Sciences > Economic Theory Department: Strathclyde Business School > Economics Depositing user: Pure Administrator Date deposited: 24 Jun 2016 13:55 Last modified: 11 Aug 2024 01:06 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/56738