In the study of income inequality dynamics, the concept of exchange mobility plays a central role. Applications of classical rank correlation statistics have been used to assess the degree to which individual economies swap positions in the income distribution over time. These classic measures...

Social and interregional inequality patterns across US states from 1929-2012 are analyzed using exploratory space-time methods. The results suggest complex spatial dynamics for both inequality series that were not captured by the stylized model of Alonso (1980). Interpersonal income inequalities...

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...

REY S. J. and MONTOURI B. D. (1999) US regional income convergence: a spatial econometric perspective, Reg. Studies 33 , 143-156. This study reconsiders the question of US regional economic income convergence from a spatial econometric perspective. Recently developed methods of exploratory...

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...

Abstract This paper examines 60 years of regional income inequality dynamics across the states of Mexico. Drawing on recent developments in exploratory spatial data analysis (ESDA) we examine the role of spatial clustering and heterogeneity in the evolution of regional inequality. We pay...

Change and movement across space and over time are observed in our everyday lives, with people commuting, traveling, communicating, moving, migrating, etc. Understanding how and why such change occurs is important for various reasons, including management of resources, planning for service...

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>