This paper examines the role of increasing returns to scale in empirically explaining economic growth rate disparities. It presents estimates for the Verdoorn law using data for 178 European Union regions over 1979-89. The law includes a spatially lagged productivity variable and is estimated by...

Salient features are outlined of hierarchical log-linear models appropriate to the analysis of associations between categorical variables. Comparisons are made with alternative methods, and the rationale of the Aitkin simultaneous test procedure for minimal model selection is discussed in detail...

This paper presents a correction to the simple chi-squared test for spatial data. The paper commences with an outline of the temporal analogue before giving a proof for a deflating factor appropriate to a square lattice sampling scheme. The effects of varying degrees of spatial autocorrelation...

Log-linear models are an appropriate means of determining the magnitude and direction of interactions between categorical variables that in common with other statistical models assume independent observations. Spatial data are often dependent rather than independent and thus the analysis of...

In an earlier paper by the author, it was shown how the rapid intersectoral reallocation of labor induced by the fast growth of industry could, under certain circumstances, explain much of the observed disparities in the aggregate productivity growth of the advanced countries over the period...