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...

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...

pt. 1. Regional innovation systems, agglomeration economies and knowledge spillovers : theoretical approaches -- pt. 2. Regional innovation systems, agglomeration economies and knowledge spillovers : empirical studies -- pt. 3. Regional economic growth and knowledge.

One of the most striking paradoxes of our time has been the growing importance of regions in the face of a globalizing economy. This insightful book explains the dynamics of regions in a global economy and sheds light on the role of knowledge in driving regional growth. The author examines the...

Regional economics - an established discipline for several decades - has gone through a rapid pace of change in the past decade and several new perspectives have emerged. At the same time the methodology has shown surprising development. This volume brings together contributions looking at new...