Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality

Sergio J. Rey

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

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. Interpersonal income inequalities of states displayed a U-shaped pattern ending the period at levels that exceeded the alarmingly high patterns that existed in the 1920s. Social inequality is characterized by greater mobility than that found for state per capita incomes. Spatial dependence is also distinct between the two series, with per capita incomes exhibiting strong global spatial autocorrelation, while state interpersonal income inequality does not. Local hot and cold spots are found for the per capita income series, while local spatial outliers are found for state interpersonal inequality. Mobility in both inequality series is found to be influenced by the local spatial context of a state.

Original languageEnglish (US)
Pages (from-to)152-182
Number of pages31
JournalInternational Regional Science Review
Volume41
Issue number2
DOIs
StatePublished - Mar 1 2018

Fingerprint

income
difference in income
social inequality
outlier
autocorrelation

Keywords

  • development and convergence
  • economic analysis
  • economic growth and development
  • growth
  • income distribution
  • income inequality
  • methods
  • methods
  • policy and applications
  • policy and applications
  • poverty
  • social and political issues
  • spatial analysis
  • spatial statistics and spatial econometrics
  • spatial structure
  • time series and forecasting models
  • urban and regional economic development
  • urban and regional spatial structure

ASJC Scopus subject areas

  • Environmental Science(all)
  • Social Sciences(all)

Cite this

Bells in Space : The Spatial Dynamics of US Interpersonal and Interregional Income Inequality. / Rey, Sergio J.

In: International Regional Science Review, Vol. 41, No. 2, 01.03.2018, p. 152-182.

Research output: Contribution to journalArticle

@article{7f7672b9309a4717a9f0b426d33b325a,
title = "Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality",
abstract = "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. Interpersonal income inequalities of states displayed a U-shaped pattern ending the period at levels that exceeded the alarmingly high patterns that existed in the 1920s. Social inequality is characterized by greater mobility than that found for state per capita incomes. Spatial dependence is also distinct between the two series, with per capita incomes exhibiting strong global spatial autocorrelation, while state interpersonal income inequality does not. Local hot and cold spots are found for the per capita income series, while local spatial outliers are found for state interpersonal inequality. Mobility in both inequality series is found to be influenced by the local spatial context of a state.",
keywords = "development and convergence, economic analysis, economic growth and development, growth, income distribution, income inequality, methods, methods, policy and applications, policy and applications, poverty, social and political issues, spatial analysis, spatial statistics and spatial econometrics, spatial structure, time series and forecasting models, urban and regional economic development, urban and regional spatial structure",
author = "Rey, {Sergio J.}",
year = "2018",
month = "3",
day = "1",
doi = "10.1177/0160017615614899",
language = "English (US)",
volume = "41",
pages = "152--182",
journal = "International Regional Science Review",
issn = "0160-0176",
publisher = "SAGE Publications Inc.",
number = "2",

}

TY - JOUR

T1 - Bells in Space

T2 - The Spatial Dynamics of US Interpersonal and Interregional Income Inequality

AU - Rey, Sergio J.

PY - 2018/3/1

Y1 - 2018/3/1

N2 - 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. Interpersonal income inequalities of states displayed a U-shaped pattern ending the period at levels that exceeded the alarmingly high patterns that existed in the 1920s. Social inequality is characterized by greater mobility than that found for state per capita incomes. Spatial dependence is also distinct between the two series, with per capita incomes exhibiting strong global spatial autocorrelation, while state interpersonal income inequality does not. Local hot and cold spots are found for the per capita income series, while local spatial outliers are found for state interpersonal inequality. Mobility in both inequality series is found to be influenced by the local spatial context of a state.

AB - 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. Interpersonal income inequalities of states displayed a U-shaped pattern ending the period at levels that exceeded the alarmingly high patterns that existed in the 1920s. Social inequality is characterized by greater mobility than that found for state per capita incomes. Spatial dependence is also distinct between the two series, with per capita incomes exhibiting strong global spatial autocorrelation, while state interpersonal income inequality does not. Local hot and cold spots are found for the per capita income series, while local spatial outliers are found for state interpersonal inequality. Mobility in both inequality series is found to be influenced by the local spatial context of a state.

KW - development and convergence

KW - economic analysis

KW - economic growth and development

KW - growth

KW - income distribution

KW - income inequality

KW - methods

KW - methods

KW - policy and applications

KW - policy and applications

KW - poverty

KW - social and political issues

KW - spatial analysis

KW - spatial statistics and spatial econometrics

KW - spatial structure

KW - time series and forecasting models

KW - urban and regional economic development

KW - urban and regional spatial structure

UR - http://www.scopus.com/inward/record.url?scp=85041099337&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041099337&partnerID=8YFLogxK

U2 - 10.1177/0160017615614899

DO - 10.1177/0160017615614899

M3 - Article

AN - SCOPUS:85041099337

VL - 41

SP - 152

EP - 182

JO - International Regional Science Review

JF - International Regional Science Review

SN - 0160-0176

IS - 2

ER -