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Local versus global convergence in Europe : a bayesian spatial econometric approach

Author

Listed:
  • Cem Ertur

    (LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • James Lesage

    (McCoy College of Business Administration Finance and Economics Department - Texas State University)

Abstract

Numerous studies have pointed to the econometric problems introduced by heterogeneity in cross-sectional data samples used to explore convergence suggested by neo-classical growth models. We introduce a local concept of convergence along with a Bayesian locally linear spatial estimation method to address these problems. The method allows global and local beta-convergence to be viewed in a continuous fashion. Inference regarding global convergence can be treated as a mixture distribution arising from local beta-convergence estimates from each region in the sample. Taking this approach eliminates the need to specify sub-samples and regimes as well as parameter variation schemes that have been used to model heterogeneity. We illustrate the method using a sample of 138 European regions.
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Suggested Citation

  • Cem Ertur & James Lesage, 2006. "Local versus global convergence in Europe : a bayesian spatial econometric approach," Post-Print hal-00485025, HAL.
    • Handle: RePEc:hal:journl:hal-00485025
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    Citations

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    Cited by:

    1. Seya, Hajime & Tsutsumi, Morito & Yamagata, Yoshiki, 2012. "Income convergence in Japan: A Bayesian spatial Durbin model approach," Economic Modelling, Elsevier, vol. 29(1), pages 60-71.
    2. Sébastien BOURDIN, 2013. "Une Mesure Spatiale Locale De La Sigma-Convergence Pour Evaluer Les Disparites Regionales Dans L’Union Europeenne," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 37, pages 179-196.
    3. Ilya Kashnitsky & Joop De Beer & Leo Van Wissen, 2020. "Economic Convergence In Ageing Europe," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(1), pages 28-44, February.
    4. Gabriel ARMEAN & Gabriela-Mihaela MURESAN, 2017. "A Real Map Of European Life Insurance Market – A Spatial Approach," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 15-22, October.
    5. Burhan Can Karahasan, 2020. "Winners and losers of rapid growth in Turkey: Analysis of the spatial variability of convergence," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 603-644, June.
    6. Cem Ertur & Julie Le Gallo, 2008. "Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches," Working Papers hal-00463274, HAL.
    7. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.
    8. Jesús Mur & Fernando López & Ana Angulo, 2010. "Instability in spatial error models: an application to the hypothesis of convergence in the European case," Journal of Geographical Systems, Springer, vol. 12(3), pages 259-280, September.
    9. Philipp Piribauer, 2016. "Heterogeneity in spatial growth clusters," Empirical Economics, Springer, vol. 51(2), pages 659-680, September.
    10. Li, Hengyun & Chen, Jason Li & Li, Gang & Goh, Carey, 2016. "Tourism and regional income inequality: Evidence from China," Annals of Tourism Research, Elsevier, vol. 58(C), pages 81-99.
    11. Martin Wagner & Achim Zeileis, 2019. "Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach," German Economic Review, Verein für Socialpolitik, vol. 20(1), pages 67-82, February.
    12. repec:rre:publsh:v:40:y:2010:i:1:p:71-97 is not listed on IDEAS
    13. Crespo Cuaresma, Jesus & Doppelhofer, Gernot & Huber, Florian & Piribauer, Philipp, 2015. "Growing Together? Projecting Income Growth in Europe at the Regional Level," Department of Economics Working Paper Series 198, WU Vienna University of Economics and Business.

    More about this item

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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