Empirical papers studying the effects of neighbourhood characteristics on socio-economic variables have predominantly used US data. We argue that the local nature of the US schooling system means that neighbourhood effects on education decisions may act through fiscal or social channels. We use...

We test implications of economic geography models for location, size and growth of cities with US Census data for 1900 û 1990. Our tests involve non-parametric estimations of stochastic kernels for the distributions of city sizes and growth rates, conditional on various measures of market...

This paper combines establishment level production data with international trade data by port to examine the impact of accession to the EEC on the spatial distribution of UK manufacturing. We use this data to test the predictions from economic geography models of how external trade affects the...

We consider the literatures on urban systems and New Economic Geography to examine questions concerning agglomeration and how areas respond to shocks to the economic environment. We first propose a diagrammatic framework to compare the two approaches. We then use this framework to study a number...

We report nonparametrically estimated nonlinear stochastic transition kernels for the evolution of the distribution of populations of metropolitan areas, for the period 1900 to 1990, based on US Census data. Comparison of kernels across successive time periods with the kernel for a pooled sample...

We examine spatial features of the evolution of the US urban system usingUS Census data for 1900 – 1990 with non-parametric kernel estimation techniques that accommodate the complexity of the urban system. We consider spatial features of the location of cities and city outcomes in terms of...

We develop and econometrically estimate a model of the location of industries across countries. The model combines factor endowments and geographical considerations, and shows how industry and country characteristics interact to determine the location of production. We estimate the model on...

Geographical information systems (GIS) are used for inputting, storing, managing, analyzing and mapping spatial data. This article argues that each of these functions can help researchers interested in spatial economics. In addition, GIS provide access to new data that is both interesting in its...

We use data for metro areas in the United States, from the US Census for 1900 - 1990, to test the validity of Zipf's Law for cities. Previous investigations are restricted to regressions of log size against log rank. In contrast, we use a nonparametric procedure to calculate local Zipf exponents...