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Human capital accumulation and long†term income growth projections for European regions

Author

Listed:
  • Jesús Crespo Cuaresma
  • Gernot Doppelhofer
  • Florian Huber
  • Philipp Piribauer

Abstract

We propose an econometric framework to construct projections for per capita income growth and human capital for European regions. Using Bayesian methods, our approach accounts for model uncertainty in terms of the choice of explanatory variables, the nature of spatial spillovers, as well as the potential endogeneity between output growth and human capital accumulation. This method allows us to assess the potential contribution of future educational attainment to economic growth and income convergence among European regions over the next decades. Our findings suggest that income convergence dynamics and human capital act as important drivers of income growth for the decades to come.

Suggested Citation

  • Jesús Crespo Cuaresma & Gernot Doppelhofer & Florian Huber & Philipp Piribauer, 2018. "Human capital accumulation and long†term income growth projections for European regions," Journal of Regional Science, Wiley Blackwell, vol. 58(1), pages 81-99, January.
  • Handle: RePEc:bla:jregsc:v:58:y:2018:i:1:p:81-99
    DOI: 10.1111/jors.12339
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    Citations

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    Cited by:

    1. Tamás Krisztin & Philipp Piribauer, 2021. "A Bayesian spatial autoregressive logit model with an empirical application to European regional FDI flows," Empirical Economics, Springer, vol. 61(1), pages 231-257, July.
    2. Luckeneder, Sebastian & Giljum, Stefan & Krisztin, Tamás, 2019. "Do mining activities foster regional development? Evidence from Latin America in a spatial econometric framework," Ecological Economic Papers 28, WU Vienna University of Economics and Business.
    3. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    4. Marco Bellandi & Silvia Lombardi & Erica Santini, 2020. "Traditional manufacturing areas and the emergence of product-service systems: the case of Italy," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(2), pages 311-331, June.
    5. Tamás Krisztin & Philipp Piribauer, 2021. "Modelling European regional FDI flows using a Bayesian spatial Poisson interaction model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 593-616, December.
    6. Vladislav L. Anichin* & Larisa A. Tretyakov? & Marina V. Vladyka & Julia Yu. Vashcheykina, 2018. "Regional Trends in the Changing Value of Human Capital Assets," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 4, pages 95-99, 11-2018.
    7. Michael Pfarrhofer & Philipp Piribauer, 2018. "Flexible shrinkage in high-dimensional Bayesian spatial autoregressive models," Papers 1805.10822, arXiv.org.
    8. Eliasson, Kent & Haapanen, Mika & Westerlund, Olle, 2019. "Regional concentration of university graduates: The role of high school grades and parental background," Umeå Economic Studies 966, Umeå University, Department of Economics.
    9. Piribauer, Philipp & Glocker, Christian & Krisztin, Tamás, 2023. "Beyond distance: The spatial relationships of European regional economic growth," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    10. Xuan Liu & Jianbao Chen, 2021. "Variable Selection for the Spatial Autoregressive Model with Autoregressive Disturbances," Mathematics, MDPI, vol. 9(12), pages 1-20, June.

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