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.

ORCID iDs

Lacombe, Donald J. and McIntyre, Stuart G. ORCID logoORCID: https://orcid.org/0000-0002-0640-7544;
  • Item type:Article
    ID code:56738
    Dates:
    Date
    Event
    10 February 2016
    Published
    10 February 2016
    Published Online
    12 January 2016
    Accepted
    Notes: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 Nov 2024 11:18
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/56738
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