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Metropolitan/non-metropolitan divergence: A spatial Markov chain approach

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  • George Hammond

Abstract

This article examines spatial aspects of distributional dynamics and finds that the distribution of US metropolitan incomes relative to their neighbours has diverged during the 1969-1999 period. Use of a spatial Markov approach shows that non-metropolitan neighbours of metropolitan regions have tended to converge during the period, with roughly equal rates of upward and downward mobility within the distribution. Non-metropolitan regions, not neighbouring metropolitan regions, show much less tendency to converge and reveal higher rates of downward rather than upward mobility. Results highlight regional differences in mobility coherence, with metropolitan areas in the West tending to outpace their non-metropolitan neighbours. Copyright Springer-Verlag Berlin/Heidelberg 2004

Suggested Citation

  • George Hammond, 2004. "Metropolitan/non-metropolitan divergence: A spatial Markov chain approach," Economics of Governance, Springer, vol. 83(3), pages 543-563, July.
    • Handle: RePEc:spr:ecogov:v:83:y:2004:i:3:p:543-563
    DOI: 10.1007/s10110-004-0211-5
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    3. Jhonny Moncada Mesa & David Hincapié Vélez, 2013. "Convergencia en calidad de vida en Medellín 2004-2011. Un análisis espacial no paramétrico," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 31(70), pages 268-314, July.
    4. María Hierro, 2009. "Modelling the dynamics of internal migration flows in Spain," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 683-692, August.
    5. Kurt Geppert & Andreas Stephan, 2008. "Regional disparities in the European Union: Convergence and agglomeration," Papers in Regional Science, Wiley Blackwell, vol. 87(2), pages 193-217, June.
    6. Chun-Yu Ho & Dan Li, 2007. "Catching Up or Falling Behind? Income Distribution of Chinese Cities," Boston University - Department of Economics - Working Papers Series WP2007-22, Boston University - Department of Economics.
    7. Wen, Ting & Qi, Sinan & Qian, Yue, 2024. "Index measurement and analysis on spatial-temporal evolution of China's new economy based on the DPSIR model," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 252-264.
    8. Sergio J. Rey & Wei Kang & Levi Wolf, 2016. "The properties of tests for spatial effects in discrete Markov chain models of regional income distribution dynamics," Journal of Geographical Systems, Springer, vol. 18(4), pages 377-398, October.
    9. Riccardo DiCecio & Charles S. Gascon, 2008. "Convergence in the United States: a tale of migration and urbanization," Working Papers 2008-002, Federal Reserve Bank of St. Louis.
    10. Wei Kang & Sergio J. Rey, 2018. "Conditional and joint tests for spatial effects in discrete Markov chain models of regional income distribution dynamics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 73-93, July.
    11. Ismail H. GENC & Anil RUPASINGHA, 2009. "Time-series Tests of Stochastic Earnings Convergence across US Nonmetropolitan Counties, 1969-2004," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 9(2).
    12. Zhonglin Tang & Geng Sun & Min Fu & Chuanhao Wen & Anđelka Plenković-Moraj, 2019. "Research on the Industrial Energy Eco-Efficiency Evolution Characteristics of the Yangtze River Economic Belt in the Temporal and Spatial Dimension, China," IJERPH, MDPI, vol. 17(1), pages 1-17, December.

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