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Employment Densities, Spatial Autocorrelation, and Subcenters in Large Metropolitan Areas

Journal of regional science, 2004-05, Vol.44 (2), p.225-244 [Peer Reviewed Journal]

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Title:
Employment Densities, Spatial Autocorrelation, and Subcenters in Large Metropolitan Areas
Author: McMillen, Daniel P.
Subjects: Central business districts ; Cities ; Commuting ; Economic geography ; Economic theory ; Employment ; Lagrange multiplier ; Metropolitan statistical areas ; Regional studies ; Suburban areas ; Town centre ; U.S.A ; Urban economics
Is Part Of: Journal of regional science, 2004-05, Vol.44 (2), p.225-244
Description: Employment density functions are estimated for 62 large metropolitan areas. Estimated gradients are statistically significant for distance from the nearest subcenter as well as for distance from the traditional central business district. Lagrange Multiplier (LM) tests imply significant spatial autocorrelation under highly restrictive ordinary least squares (OLS) specifications. The LM test statistics fall dramatically when the models are estimated using flexible parametric and nonparametric methods. The results serve as a warning that functional form misspecification causes spatial autocorrelation.
Publisher: Oxford, UK; Malden, USA: Blackwell Publishing Ltd/Inc
Language: English
Identifier: ISSN: 0022-4146
EISSN: 1467-9787
DOI: 10.1111/j.0022-4146.2004.00335.x
CODEN: JRESAM
Source: Alma/SFX Local Collection
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