This paper examines the relationship between spatial clustering and inequality at the county scale with overall state per capita income in the US 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...

The literature on economic development has been divided as to the nature of the relationship between inequality and growth. Recent exploratory work in the field has provided evidence that the dynamic and spatial relationships between the two may be far more complicated than previously thought....

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...

The study of regional income convergence continues to attract enormous attention. Recent emphasis has been placed on the underlying spatial dimensions of regional growth processes both from theoretical and empirical perspectives, as well as from exploratory and confirmatory methodological...

Space-Time Analysis of Regional Systems (STARS) is an open source package designed for dynamic exploratory analysis of data measured for areal units at multiple points in time. STARS consists of four core analytical modules: [1] ESDA: exploratory spatial data analysis; [2] Inequality measures;...

The study of regional income convergence continues to attract enormous attention. Recent emphasis has been placed on the underlying spatial dimensions of regional growth processes both from theoretical and empirical perspectives, as well as from exploratory and confirmatory methodological...

This paper examines the nature of uncertainty in integrated econometric+input-output (ECIO) regional models. We focus on three sources of uncertainty: [a] econometric model parameter uncertainty; [b] econometric disturbance term uncertainty; and [c] input-output coefficient uncertainty. Through...

This paper presents a number of algorithms for a recently developed measure of space-time concordance. Based on a spatially explicit version of Kendall’s <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$\tau $$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mi mathvariant="italic">τ</mi> </math> </EquationSource> </InlineEquation> the original implementation of the concordance measure relied on a brute force <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$O(n^2)$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mrow> <mi>O</mi> <mo stretchy="false">(</mo> <msup> <mi>n</mi> <mn>2</mn> </msup> <mo stretchy="false">)</mo> </mrow> </math> </EquationSource> </InlineEquation> algorithm...</equationsource></equationsource></inlineequation></equationsource></equationsource></inlineequation>

This paper examines the nature of coefficient change in integrated econometric (EC) and input-output (IO) models that employ an embedding strategy. Existing approaches towards coefficient change in integrated models are first reviewed and several substantive processes that give rise to dynamic...