Specifying a prior distribution for the large number of parameters in the linear statistical model is a difficult step in the Bayesian approach to the design and analysis of experiments. Here we address this difficulty by proposing the use of functional priors and then by working out important...

The spatial distribution of industries and population is quite lumpy, and this lumpiness varies across industries. Nevertheless, we show using Japanese data for metropolitan areas that the locations of both industries and population are linked by surprisingly simple and persistent patterns. In...

In this chapter we look at the spatial distribution of economic activities in China and Japan. Japan has excellent data and relatively uniform institutions since World War II, which allow us to track its spatial evolution and detail its key features today. For Japan we show how structural shifts...