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A nonparametric analysis of income convergence across the US states

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  • Johnson, Paul A.

Abstract

In this paper I apply the nonparametric methods proposed by Quah to data on US state relative income levels. In contrast to Quah’s results using cross-country data I find no evidence of polarization in the cross-state income distribution. The long-run density implied by the estimates is strongly unimodal. This finding is consistent with the results of previous analyses of convergence in state income levels using other methods.

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File URL: http://www.sciencedirect.com/science/article/B6V84-4177NK6-J/2/fadbf738417771f491fe902758ba0ae3
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Bibliographic Info

Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 69 (2000)
Issue (Month): 2 (November)
Pages: 219-223

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Handle: RePEc:eee:ecolet:v:69:y:2000:i:2:p:219-223

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  1. Steven N. Durlauf & Danny T. Quah, 1998. "The New Empirics of Economic Growth," NBER Working Papers 6422, National Bureau of Economic Research, Inc.
  2. Roberts, Charles A., 1979. "Interregional Per Capita Income Differentials and Convergence: 1880–1950," The Journal of Economic History, Cambridge University Press, vol. 39(01), pages 101-112, March.
  3. Quah, Danny T, 1996. " Convergence Empirics across Economies with (Some) Capital Mobility," Journal of Economic Growth, Springer, vol. 1(1), pages 95-124, March.
  4. Quah, Danny T., 1996. "Empirics for economic growth and convergence," European Economic Review, Elsevier, vol. 40(6), pages 1353-1375, June.
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