This paper extends existing research on regional quality of life in Germany by newly estimating the role of region-specific (dis-)amenities in the determination of regional housing rents and wages. Different from previous studies, the empirical analysis draws on functional labor market areas...

The productivity of non-farm enterprises in rural Africa may be associated with the productivity of other spatially proximate farm and non-farm enterprises. To test for the presence and significance of such spatial autocorrelation we use data from the geo-referenced 2011 Ethiopian Rural...

We empirically investigate the existence of spatial autocorrelation between military dictatorships in Sub-Saharan Africa from 1977 through 2007. We apply a Bayesian SAR probit regression, extended to a pooled model. We find a robust and positive spatial autocorrelation coefficient, which shows a...

The study focuses on the quality of live disparities among Hungarian micro-regions as well as among counties. For measuring quality of life HDI was chosen as the index to work with. The analysis focused on three years (1994, 2001 and 2005), which makes it possible to examine the temporal change...

BACKGROUND: The deprived physical environments present in slums are well-known to have adverse health effects on their residents. However, little is known about the health effects of the social environments in slums. Moreover, neighbourhood quantitative spatial analyses of the mental health...

It is shown that the null distribution of the F-test in a linear regression is rather non-robust to spatial autocorrelation among the regression disturbances. In particular, the true size of the test tends to either zero or unity when the spatial autocorrelation coefficient approaches the...

The paper considers tests against for autocorrelation among the disturbances in linear regression models that can be expressed as ratios of quadratic forms. It shows that such tests are in general not unbiased and that power can even drop to zero for certain regressors and spatial weight...

This paper presents a hedonic housing price model for the city of Glasgow in Scotland. The major innovation of the research is the use of hierarchical clustering techniques to identify property submarkets defined by a combination of property types, locations and socioeconomic characteristics of...

Previous work on hedonic price functions tends to have focused on one of a number of specification and estimation issues; namely, market segmentation, choice of functional form, multicollinearity or spatial autocorrelation. The purpose of this paper is to bring together these various strands to...