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A Nonparametric Analysis of Income Convergence Across the US States

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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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Paper provided by Vassar College Department of Economics in its series Vassar College Department of Economics Working Paper Series with number 46.

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Date of creation: Dec 1999
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Publication status: Published in Economics Letters, 2000, 69:219-23.
Handle: RePEc:vas:papers:46

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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. Quah, Danny T, 1996. " Convergence Empirics across Economies with (Some) Capital Mobility," Journal of Economic Growth, Springer, Springer, vol. 1(1), pages 95-124, March.
  3. Oded Izraeli & Kevin Murphy, 1997. "Convergence in State Nominal and Real Per Capita Income: Empirical Evidence," Public Finance Review, , , vol. 25(6), pages 555-576, November.
  4. Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers, C.E.P.R. Discussion Papers 1586, C.E.P.R. Discussion Papers.
  5. Roberts, Charles A., 1979. "Interregional Per Capita Income Differentials and Convergence: 1880–1950," The Journal of Economic History, Cambridge University Press, Cambridge University Press, vol. 39(01), pages 101-112, March.
  6. Quah, Danny T., 1996. "Empirics for economic growth and convergence," European Economic Review, Elsevier, Elsevier, vol. 40(6), pages 1353-1375, June.
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