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Convergence and Spatial Patterns in Labor Productivity: Nonparametric Estimations for Turkey

Author

Listed:
  • Tugrul Temel

    (Wageningen University, ISNAR)

  • Aysit Tansel
  • Peter J. Albersen

Abstract

This study examines convergence in aggregate labor productivity levels, using data on the 67 provinces of Turkey over the period 1975-1990. Markov chains, a nonparametric approach, are applied to characterize the long run tendency of labor productivity. Evidence shows polarization: the observation that the majority of provinces tend to move towards low productivity level, while few move toward high productivity level. These two groups form convergence clubs around the upper and lower tails of the distribution. Furthermore, nonparametric regression results, in conformity with the results obtained from the Markov chain model, reveal a persistent spatial pattern in labor productivity: a pattern of high productivity, which has lasted for the period 1975-1990, around three highly industrialized provinces.

Suggested Citation

  • Tugrul Temel & Aysit Tansel & Peter J. Albersen, 1999. "Convergence and Spatial Patterns in Labor Productivity: Nonparametric Estimations for Turkey," Working Papers 9931, Economic Research Forum, revised Oct 1999.
    • Handle: RePEc:erg:wpaper:9931
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    Cited by:

    1. Sirin Saracoglu & Murat G. Kirdar, 2000. "Does Internal Migration Lead to Faster Regional Convergence in Turkey?: An Empirical Investigation," Regional and Urban Modeling 283600084, EcoMod.
    2. Sergio J. Rey & Mark V. Janikas, 2005. "Regional convergence, inequality, and space," Journal of Economic Geography, Oxford University Press, vol. 5(2), pages 155-176, April.
    3. Bahadir Cem UYARER & Engin VOLKAN, 2016. "Regional And Sectoral Labor Productivity Convergence In Turkey," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 16(1), pages 77-92.

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