Spatial Clustering, Inequality and Income Convergence

Mark Vincent Janikas and Sergio Rey ()

Urban/Regional from EconWPA

Abstract: This paper examines the relationship between spatial clustering and inequality at the county scale with overall state per capita income in the U.S. over the period 1969-2000. For each of the 48 coterminous states we examine measures of inequality and spatial clustering and explore how a state's overall income level may be influenced by, or influence, these measures. Our exploratory analysis utilizes the open- source package Space-Time Analysis of Regional Systems (STARS) to illustrate some new techniques for analyzing regional income dynamics. The results provide insight into the possible relationships between inequality, clustering and relative income levels, and generates a number of interesting avenues for future research.

Keywords: spatial clustering; spatial dependence; inequality; convergence; geocomputation (search for similar items in EconPapers)
JEL-codes: C21 O18 O51 R11 R12 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-geo and nep-ure
Date: 2005-01-06
Note: Type of Document - pdf; pages: 22
View list of references View citations in EconPapers

Downloads: (external link)
http://129.3.20.41/eps/urb/papers/0501/0501002.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:wpa:wuwpur:0501002

Access Statistics for this paper

More papers in Urban/Regional from EconWPA
Series data maintained by EconWPA ().