This paper is concerned with methods for analysing spatial data. After initial discussion on 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...

Prediction is difficult. In this paper we use panel data methods to make reasonably accurate shortterm ex-post predictions of house prices across 353 local authority areas in England. The issue of prediction over the longer term is also addressed, and a simple method that makes use of the...

Research on ethno-linguistic ties has so far mostly focused on domestic measures of ethno-linguistic heterogeneity. Little attention has been given to the possibility that ethno-linguistic relations between countries may affect out- comes, particularly in a spatial econometric context. In this...

The paper incorporates house prices within an NEG framework leading to the spatialdistributions of wages, prices and income. The model assumes that all expenditure goes tofirms under a monopolistic competition market structure, that labour efficiency units areappropriate, and that spatial...

During the last years, gravity equations have leapt from the trade literature over into the literature on financial markets. Martin and Rey (2004) were the first to provide a theoretical model for cross-border asset trade, yielding a structural gravity equation that could be tested empirically....

During the last years, gravity equations have leapt from the trade literature over into the literature on financial markets. Martin and Rey (2004) were the first to provide a theoretical model for cross-border asset trade, yielding a structural gravity equation that could be tested empirically....