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Working Paper
Localized Knowledge Spillovers: Evidence from the Spatial Clustering of R&D Labs and Patent Citations
SUPERCEDES EORKING PAPER 17-32 Buzard et al. (2017) show that American R&D labs are highly spatially concentrated even within a given metropolitan area. We argue that the geography of their clusters is better suited for studying knowledge spillovers than are states, metropolitan areas, or other political or administrative boundaries that have predominantly been used in previous studies. In this paper, we assign patents and citations to these newly defined clusters of R&D labs. Our tests show that the localization of knowledge spillovers, as measured via patent citations, is strongest at small ...
Working Paper
The agglomeration of R&D labs
This paper has been superseded by WP 15-03. 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 distribution of manufacturing activity. Ripley's K-function tests over a variety of spatial scales reveal that the strongest evidence of concentration occurs at two discrete distances: one at about one-quarter of a mile and another at about 40 miles. These ...
Working Paper
Localized Knowledge Spillovers: Evidence from the Spatial Clustering of R&D Labs and Patent Citations
Patent citations are a commonly used indicator of knowledge spillovers among inventors, while clusters of research and development labs are locations in which knowledge spillovers are particularly likely to occur. In this paper, we assign patents and citations to newly defined clusters of American R&D labs to capture the geographic extent of knowledge spillovers. Our tests show that the localization of knowledge spillovers, as measured via patent citations, is strongest at small spatial scales and diminishes rapidly with distance. On average, patents within a cluster are about three to six ...
Discussion Paper
Alternative financial service providers and the spatial void hypothesis: the case of New Jersey and Delaware
This paper continues the use of the spatial void hypothesis methodology to analyze the location of alternative financial service providers, such as check cashing outlets and pawn shops, in New Castle County, Delaware, and Atlantic, Mercer, Monmouth, and Passaic counties in New Jersey. Also explores whether these providers are disproportionately serving minority and low-income areas.
Working Paper
The agglomeration of R&D labs
This paper has been superseded by WP 15-03.<p>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 based on Ripley's (1976) K-functions are used to identify clusters of labs ? at varying spatial scales ? that represent statistically significant departures from random locations reflecting the underlying distribution of economic activity (employment). ...
Working Paper
Localized Knowledge Spillovers: Evidence from the Agglomeration of American R&D Labs and Patent Data
Superceded by 16-25. This working paper supersedes WP 12-22, WP 11-42, and WP 10-33. We employ a unique data set to examine the spatial clustering of private R&D labs, and, using patent citations data, we provide evidence of localized knowledge spillovers within these clusters. Jaffe, Trajtenberg, and Henderson (1993, hereafter JTH) provide an aggregate measure of the importance of knowledge spillovers at either the state or metropolitan area level. However, much information is lost regarding differences in the localization of knowledge spillovers in specific geographic areas. In this ...
Working Paper
LOCALIZED KNOWLEDGE SPILLOVERS: EVIDENCE FROM THE AGGLOMERATION OF AMERICAN R&D LABS AND PATENT DATA
Supercedes 15-03 We employ a unique data set to examine the spatial clustering of private R&D labs. Instead of using fixed spatial boundaries, we develop a new procedure for identifying the location and size of specific R&D clusters. Thus, we are better able to identify the spatial locations of clusters at various scales, such as a half mile, 1 mile, 5 miles, and more. Assigning patents and citations to these clusters, we capture the geographic extent of knowledge spillovers within them. Our tests show that the localization of knowledge spillovers, as measured via patent citations, is ...
Discussion Paper
Alternative financial service providers and the spatial void hypothesis
This paper examines the use of alternative financial service providers (AFSPs) such as check-cashing outlets and pawnshops in Philadelphia, Montgomery, Delaware, and Allegheny counties. Also explores whether these providers are disproportionately serving minority and low-income areas.
Working Paper
The Agglomeration of American Research and Development Labs
We employ a unique data set to examine the spatial clustering of about 1,700 private research and development (R&D) labs in California and across the Northeast corridor of the United States. Using these data, which contain the R&D labs? complete addresses, we are able to more precisely locate innovative activity than with patent data, which only contain zip codes for inventors? residential addresses. We avoid the problems of scale and borders associated with using fixed spatial boundaries, such as zip codes, by developing a new point pattern procedure. Our multiscale core-cluster approach ...
Working Paper
The agglomeration of R&D labs
This paper has been superseded by WP 15-03. 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 activity. Ripley?s K-function tests over a variety of spatial scales reveal that the strongest evidence of concentration occurs at two discrete distances: one at about one-quarter of a mile and another at about 40 miles. We also find that R&D labs in some ...