Dating from the seminal work of Ellison and Glaeser [17] in 1997, a wealth of evidence for the ubiquity of industrial agglomerations has been published. However, most of these results are based on analyses of single (scalar) indices of agglomeration. Hence it is not surprising that industries...

Standard approaches to studying industrial agglomeration have been in terms of scalar measures of agglomeration within each industry. But such measures often fail to distinguish spatial scales of agglomeration. In a previous paper, Mori and Smith (2014) proposed a pair of quantitative measures...

The standard approaches to studying industrial agglomeration have been in terms of summary measures of the “degree of agglomeration” within each industry. But such measures often fail to distinguish between industries that exhibit substantially different spatial scales of agglomeration. In a...

The standard approach to studying industrial agglomeration is to construct summary measures of the “degree of agglomeration” within each industry and to test for significant agglomeration with respect to some appropriate reference measure. But such summary measures often fail to distinguish...

Standard approaches to studying industrial agglomeration have been in terms of scalar measures of agglomeration within each industry. But such measures often fail to distinguish spatial scales of agglomeration. In a previ- ous paper, Mori and Smith (2014) proposed a pair of quantitative measures...

City size distributions are known to be well approximated by power laws across many countries. One popular explanation for such power-law regularities is in terms of random growth processes, where power laws arise asymptotically from the assumption of iid growth rates among all cities within a...

The standard approach to studying industrial agglomeration is to construct summary measures of the degree of agglomerationʺ within each industry and to test for significant agglomeration with respect to some appropriate reference measures. But such summary measures often fail to distinguish...

City size distributions are known to be well approximated by power laws across many countries. One popular explanation for such power-law regularities is in terms of random growth processes, where power laws arise asymptotically from the assumption of iid growth rates among all cities within a...