Employment Densities, Spatial Autocorrelation, and Subcenters in Large Metropolitan Areas
研究了62个大都市区的就业密度函数，发现距次中心和传统中央商务区的距离对梯度有显著影响，并指出函数形式误设会导致空间自相关。
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.