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Asymptotically perfect and relative convergence of productivity

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  • Bart Hobijn

    (Department of Economics, New York University, 269 Mercer Street, New York, NY 10003, USA)

  • Philip Hans Franses

    (Econometric Institute, Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, The Netherlands)

Abstract

In this paper we examine the extent to which countries are converging in per capita productivity levels. We propose to use cluster analysis in order to allow for the endogenous selection of converging countries. We formally define convergence in a time series analytical context, derive the necessary and sufficient conditions for convergence, and introduce a cluster analytical procedure that distinguishes several convergence clubs by testing for these conditions using a multivariate test for stationarity. We find a large number of relatively small convergence clubs, which suggests that convergence might not be such a widespread phenomenon. Copyright © 2000 John Wiley & Sons, Ltd.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 15 (2000)
Issue (Month): 1 ()
Pages: 59-81

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Handle: RePEc:jae:japmet:v:15:y:2000:i:1:p:59-81

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  1. Bernard, Andrew B & Jones, Charles I, 1996. "Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries," American Economic Review, American Economic Association, vol. 86(5), pages 1216-38, December.
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  9. Dan Ben-David & Robin L. Lumsdaine & David H. Papell, 1998. "Unit Roots, Postwar Slowdowns and Long-Run Growth: Evidence from Two Structural Breaks," NBER Working Papers 6397, National Bureau of Economic Research, Inc.
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  17. Quah, Danny T, 1996. " Convergence Empirics across Economies with (Some) Capital Mobility," Journal of Economic Growth, Springer, vol. 1(1), pages 95-124, March.
  18. Bart Hobijn & Philip Hans Franses & Marius Ooms, 2004. "Generalizations of the KPSS-test for stationarity," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(4), pages 483-502.
  19. Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-08, May.
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