University of Cincinnati Lindner College of Business

Back to Search Results

Embracing Heterogeneity: The Spatial Autoregressive Mixture Model

Author(s): Gary Cornwall, Olivier Parent

Status: Published
Year: 2017
Publication Name: Regional Science and Urban Economics
Volume: 64, Page Number(s): 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.


Read

Journal's Website

Google Scholar Link