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It is a stylized fact that city size distributions are rather stable over time. Explanations for city growth and the resulting city-size distributions fall into two broad groups. On the one hand there are theories that assume city growth to be a random process and this process can result in a stable city-size distribution. On the other hand there are theories that stress that city growth and the city-size distribution are driven by economically relevant differences between locations. These differences might be the result of physical differences or might be caused by location specific increasing returns or externalities. We construct a unique data set to analyze whether or not a large temporary shock had an impact on German city growth and city size distribution. Following recent work by Davis and Weinstein (2001) on Japan, we take the strategic bombing of German cities during WWII as our example of such a shock. The goal of this paper is to analyze the impact of this shock on German city-growth and the resulting citysize distribution. If city-growth follows a random walk this would imply that the war shock had a permanent impact on German city-growth. If, however, as the second group of theories predicts, the random walk hypothesis is not confirmed this would mean that the war shock at most had a temporary effect on the city growth process. Our main finding is that city growth in western Germany did not follow a random walk, while city growth in eastern Germany did follow a random walk. Different postwar economic systems are most likely responsible for this outcome.

The need for a better understanding of the role location plays in economic life was first and most famously made explicit by Bertil Ohlin in 1933. However it is only recently, with the development of computer packages able to handle complex systems, as well as advances in economic theory (in particular an increased understanding of returns to scale and imperfect competition), that Ohlin's vision has been met and a framework developed which explains the distribution of economic activity across space. This book is an integrated, non-mathematical, first-principles textbook presenting geographical economics to advanced students. Never avoiding advanced concepts, its emphasis is on examples, diagrams, and empirical evidence, making it the ideal starting point prior to monographic and journal material. Contains copious computer simulation exercises, available in book and electronic format to encourage learning and understanding through application. Uses case study material from North America, Europe, Africa and Australasia.

Geographical economics starts from the observation that economic activity is clearly not randomly distributed across space. This revised and updated introduction to geographical economics uses the modern tools of economic theory to explain the who, why and where of the location of economic activity. The text provides an integrated, first-principles introduction to geographical economics for advanced undergraduate students and first-year graduate students, and has been thoroughly revised and updated to reflect important developments in the field, including new chapters on alternative core models and policy implications. It presents a truly global analysis of issues in geographical economics using case studies from all over the world, including North America, Europe, Africa and Australasia, and contains many computer simulations and end-of chapter exercises to encourage learning and understanding through application.