Employment Densities, Spatial Autocorrelation, and Subcenters in Large Metropolitan Areas
Year: 2004
Type: article
Abstract: 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.
Source: Journal of Regional Science
Author: Daniel P. McMillen
Institution: University of Illinois Chicago
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2009705740