Embracing heterogeneity: the spatial autoregressive mixture model

Gary Cornwall and Olivier Parent

Regional Science and Urban Economics, 2017, vol. 64, issue C, 148-161

Abstract: In this paper a mixture distribution model is extended to include spatial dependence of the autoregressive type. The resulting model nests both spatial heterogeneity and spatial dependence as special cases. A data generation process is outlined that incorporates both a finite mixture of normal distributions and spatial dependence. Whether group assignment is completely random by nature or displays some locational “pattern”, the proposed spatial-mix estimation procedure is always able to recover the true parameters. As an illustration, a basic hedonic price model is investigated that includes sub-groups of data with heterogeneous coefficients in addition to spatially clustered elements.

Keywords: Mixture distributions; Spatial heterogeneity; Spatial models (search for similar items in EconPapers)
JEL-codes: C11 C21 R21 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:regeco:v:64:y:2017:i:c:p:148-161

DOI: 10.1016/j.regsciurbeco.2017.03.004

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