Predicting the distribution of households and employment: a seemingly unrelated regression model with two spatial processes

Zhou, Bin (Brenda) and Kara M. Kockelman

Journal of Transport Geography, 2009, vol. 17, issue 5, 369-376

Abstract: Household and employment counts (by type) are key inputs to models of travel demand and air quality. For a variety of reasons, spatial dependence is very likely present in and across these counts. In order to identify the nature of these unobserved relationships, this study provides the first application of a feasible generalized spatial 3SLS estimation procedure for a seemingly unrelated regression (SUR) model with two spatial processes. Statistical tests reveal that this more generalized model is superior to its constrained versions (e.g., SUR models without spatial components or with just a spatial lag or spatial error process).

Keywords: Spatial econometrics; Seemingly unrelated regression; Spatial distribution of households and employment (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:17:y:2009:i:5:p:369-376

DOI: 10.1016/j.jtrangeo.2008.09.003

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