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Convergence in per-capita gdp across Eu-Nuts2 regions using panel data models extended to spatial autocorrelations effects

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  • Gianfranco Piras
  • Giuseppe Arbia

Abstract

Most of the empirical works in regional convergence are based on either cross-sectional or “a-spatial” panel data models. In this paper, we propose the use of panel data econometrics models that incorporate an explicit consideration of spatial dependence effects (Anselin, 1988; Elhorst, 2001; 2003). This allows us to extend the traditional convergence models to include a rigorous treatment of regional spillovers and to obtain more reliable estimates of the parameters. We consider two models respectively based on the introduction of a spatial lag among the explanatory variables (the “spatial lag model”) and imposing a spatial autoregressive structure to the stochastic component (the “spatial error model”). We apply such a modelling framework to the long-run convergence of per-capita GDP of 125 EU-NUTS2 regions observed yearly in the period 1977-2002. A comparison of the results obtained using the two spatial panel data specifications with the main evidence available in the literature is also provided.

Suggested Citation

  • Gianfranco Piras & Giuseppe Arbia, 2007. "Convergence in per-capita gdp across Eu-Nuts2 regions using panel data models extended to spatial autocorrelations effects," Statistica, Department of Statistics, University of Bologna, vol. 67(2), pages 157-172.
  • Handle: RePEc:bot:rivsta:v:67:y:2007:i:2:p:157-172
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    Citations

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    Cited by:

    1. Salima Bouayad Agha & Nadine Turpin & Lionel Vedrine, 2010. "Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy on regional convergence over the period 1980-2005," Working Papers halshs-00812077, HAL.
    2. Cabral, Joilson de Assis & Legey, Luiz Fernando Loureiro & Freitas Cabral, Maria Viviana de, 2017. "Electricity consumption forecasting in Brazil: A spatial econometrics approach," Energy, Elsevier, vol. 126(C), pages 124-131.
    3. Çınar Tuğrul, 2017. "Spatial Dimensions of Sectoral Labor Productivity Convergence in Turkey: A Spatial Panel Data Approach," Review of Middle East Economics and Finance, De Gruyter, vol. 13(1), pages 1-14, April.
    4. Agnieszka Baer-Nawrocka, 2018. "Konwergencja i nierówności dobrobytu ekonomicznego gospodarstw domowych w krajach Unii Europejskiej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 103-124.

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