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...

We develop a theoretical model in which whites mainly use private vehicles to commute whereas non-whites use public transportation. We show that, for whites and non-whites, higher (time) distance-to-jobs leads to lower search effort. Because of different transport modes, we also show that, at...

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...

A new and extensive panel of outward foreign direct investment (FDI) at the sector level is used to estimate the determinants of non-resource and resource FDI. Since FDI is I(1), we estimate panel error-correction models of FDI with spatial lags for FDI and market potential. Our main result is...

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...

Based on a modified Spatiotemporal Autoregressive Model (STAR), we analyze whether borders still constitute significant impediments to labor market integration in the European Union, despite the formal law of free movement of labor. Using regional data from the EU-15 countries over 21 years, we...

Geography shapes economic outcomes in a major way. This Paper uses spatial empirical methods to detect and analyse trade patterns in a historical dataset on Chinese rice prices. Our results suggest that spatial features were important for the expansion of interregional trade. Geography dictates,...