Income convergence in the United States: a tale of migration and urbanization
We use nonparametric distribution dynamics techniques to reassess the convergence of per capita personal income (PCPI) across U.S. states and across metropolitan (metro) and nonmetropolitan (nonmetro) portions of states for the period 1969–2005. The long-run distribution of PCPI is bimodal for both...
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Veröffentlicht in: | The Annals of regional science 2010-10, Vol.45 (2), p.365-377 |
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creator | DiCecio, Riccardo Gascon, Charles S. |
description | We use nonparametric distribution dynamics techniques to reassess the convergence of per capita personal income (PCPI) across U.S. states and across metropolitan (metro) and nonmetropolitan (nonmetro) portions of states for the period 1969–2005. The long-run distribution of PCPI is bimodal for both states and metro/nonmetro portions. Furthermore, the high-income mode of the distribution across metro and nonmetro portions corresponds to the single mode of the long-run distribution across metro portions only. These results (polarization or club-convergence) are reversed when weighting by population. The long-run distributions across people are consistent with convergence. Migration and urbanization are the forces behind convergence. |
doi_str_mv | 10.1007/s00168-008-0284-1 |
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The long-run distribution of PCPI is bimodal for both states and metro/nonmetro portions. Furthermore, the high-income mode of the distribution across metro and nonmetro portions corresponds to the single mode of the long-run distribution across metro portions only. These results (polarization or club-convergence) are reversed when weighting by population. The long-run distributions across people are consistent with convergence. 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The long-run distribution of PCPI is bimodal for both states and metro/nonmetro portions. Furthermore, the high-income mode of the distribution across metro and nonmetro portions corresponds to the single mode of the long-run distribution across metro portions only. These results (polarization or club-convergence) are reversed when weighting by population. The long-run distributions across people are consistent with convergence. Migration and urbanization are the forces behind convergence.</description><subject>America</subject><subject>Bandwidths</subject><subject>Bgi / Prodig</subject><subject>Convergence</subject><subject>Cultural heritage</subject><subject>Distribution</subject><subject>Dynamics</subject><subject>Economic theory</subject><subject>Economics</subject><subject>Economics and Finance</subject><subject>Environmental Economics</subject><subject>Geography</subject><subject>Human geography</subject><subject>Income</subject><subject>Income distribution</subject><subject>Landscape/Regional and Urban Planning</subject><subject>Microeconomics</subject><subject>Migration</subject><subject>Original Paper</subject><subject>Per capita</subject><subject>Per capita income</subject><subject>Personal income</subject><subject>Polarization</subject><subject>Population</subject><subject>Regional/Spatial Science</subject><subject>Rural urban migration</subject><subject>Social change</subject><subject>Standard of 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subjects | America Bandwidths Bgi / Prodig Convergence Cultural heritage Distribution Dynamics Economic theory Economics Economics and Finance Environmental Economics Geography Human geography Income Income distribution Landscape/Regional and Urban Planning Microeconomics Migration Original Paper Per capita Per capita income Personal income Polarization Population Regional/Spatial Science Rural urban migration Social change Standard of living State Studies Subways United States United States of America Urbanization Weighting |
title | Income convergence in the United States: a tale of migration and urbanization |
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