We study the location of more than 1,000 research and development (R&D) labs located in the Northeast corridor of the U.S. Using a variety of spatial econometric techniques, we find that these labs are substantially more concentrated in space than the underlying distribution of manufacturing...

The authors study the location and productivity of more than 1,000 research and development (R&D) labs located in the Northeast corridor of the U.S. Using a variety of spatial econometric techniques, they find that these labs are substantially more concentrated in space than the underlying...

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 authors document the spatial concentration of more than 1,000 research and development (R&D) labs located in the Northeast corridor of the U.S. using point pattern methods. These methods allow systematic examination of clustering at different spatial scales. In particular, Monte Carlo tests...

This study explores a local K-function estimation as a method to identify the spatial clusters of service users of outpatient psychiatric programs in Philadelphia. GIS maps were created to visualize and evaluate the results of K-function analysis. The Medicaid eligible population was used as the...

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...