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...

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...

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...

The paper uses annual data on real GDP for the UK regions and 12 manufacturing sectors toderive regional and regional/sectoral business cycles using an H-P filter. The cohesion of thecycles is examined via cross-correlations and comparisons made with the regional cycles forJapan, the United...