This chapter is concerned with methods for analyzing spatial data. After initial discussion of the nature of spatial data, including the concept of randomness, we focus most of our attention on linear regression models that involve interactions between agents across space. The introduction of...

The main purpose of this study is to explore the determinants of average household consumption spending in counties and cities from the two aspects of government fiscal expenditure and household characteristics. A spatial econometric model, the spatial Durbin model, was used to analyze...

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...

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...