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Spatial Dependence in the Evolution of Regional Income Distributions

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  • Sergio J. Rey

    (San Diego State University)

Abstract

This paper introduces three measures of spatial dependence for use in the analysis of regional income distributions and their evolution. The first builds upon the notion of regional conditioning (Quah 1993), and is derived as a trace statistic from a modified Markov transition matrix. The remaining two statistics are intended for use in a dynamic context and measure the degree of spatial clustering and regional cohesion in income rank mobility. All three measures are applied in an empirical analysis of per capita income patterns in the lower 48 United States over the 1929-99 period.

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Bibliographic Info

Paper provided by EconWPA in its series Urban/Regional with number 0105001.

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Length: 23 pages
Date of creation: 13 May 2001
Date of revision:
Handle: RePEc:wpa:wuwpur:0105001

Note: Type of Document - postscript (gzipped); prepared on Linux; to print on Postscript; pages: 23; figures: included
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Web page: http://128.118.178.162

Related research

Keywords: convergence; spatial autocorrelation;

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References

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  1. Yannis M. Ioannides & Henry G. Overman, 2004. "Spatial evolution of the US urban system," Journal of Economic Geography, Oxford University Press, vol. 4(2), pages 131-156, April.
  2. Quah, Danny T, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," Economic Journal, Royal Economic Society, vol. 106(437), pages 1045-55, July.
  3. Efthymios Tsionas, 2000. "Regional Growth and Convergence: Evidence from the United States," Regional Studies, Taylor & Francis Journals, vol. 34(3), pages 231-238.
  4. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
  5. Shorrocks, A F, 1978. "The Measurement of Mobility," Econometrica, Econometric Society, vol. 46(5), pages 1013-24, September.
  6. Quah, Danny, 1995. "Aggregate and Regional Disaggregate Fluctuations," CEPR Discussion Papers 1236, C.E.P.R. Discussion Papers.
  7. Quah, Danny, 1993. "Empirical cross-section dynamics in economic growth," European Economic Review, Elsevier, vol. 37(2-3), pages 426-434, April.
  8. Henry G. Overman & Yannis Ioannides, 2000. "Cross sectional evolution of the US city size distribution," LSE Research Online Documents on Economics 20137, London School of Economics and Political Science, LSE Library.
  9. Magrini, Stefano, 1999. "The evolution of income disparities among the regions of the European Union," Regional Science and Urban Economics, Elsevier, vol. 29(2), pages 257-281, March.
  10. Enrique Lopez Bazo & Esther Vaya Valcarce & Antonio Jose Mora & Jordi Surinach Caralt, 1997. "Regional economic dynamics and convergence in the european union," Working Papers in Economics 12, Universitat de Barcelona. Espai de Recerca en Economia.
  11. Magalhães, André & Hewings, Geoffrey J.D. & Azzoni, Carlos R., 2005. "Spatial Dependence and Regional Convergence in Brazil," Investigaciones Regionales, Asociación Española de Ciencia Regional, issue 6, pages 5-20.
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Citations

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Cited by:
  1. Bode, Eckhardt & Bickenbach, Frank, 2002. "Markov or not Markov - this should be a question," ERSA conference papers ersa02p024, European Regional Science Association.
  2. Leonardo Monasterio, 2010. "Brazilian spatial dynamics in the long term (1872–2000): “path dependency” or “reversal of fortune”?," Journal of Geographical Systems, Springer, vol. 12(1), pages 51-67, March.
  3. Alasia, Alessandro, 2003. "Sub-Provincial Income Disparity in Canada: Evidence From 1992 to 1999," Agriculture and Rural Working Paper Series 28057, Statistics Canada.
  4. Frank Bickenbach & Eckhardt Bode, 2001. "Markov or Not Markov � This Should Be a Question," Kiel Working Papers 1086, Kiel Institute for the World Economy.

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