Estimation of the coefficients of a linear regression in the presence of spatial autocorrelation. An application to a Belgian labour-demand function
Regression analyses of a spatially distributed variable is a common technique in urban and regional planning. Frequently, however, the disturbance terms are not completely independent but exhibit spatial autocorrelation. A method is proposed for taking account of this spatial autocorrelation and is illustrated by means of an application to a Belgian labour-demand function.
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