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Growth, Convergence And Public Investment. A Bayesian Model Averaging Approach

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  • Roberto León-González

    (Centre for Health Economics. University of York (United Kingdom))

  • Daniel Montolio

    () Departament d’Hisenda Pública. Universitat de Barcelona. Department of Economics. University of York (United Kingdom). Institut d’Economia de Barcelona (IEB))

Abstract

The aim of this paper is twofold. Firstly, we study the determinants of growth among a wide set of potential variables for the Spanish provinces (NUTS3). We include several types of private, public and human capital in the group of growth factors. Moreover, we analyse whether Spanish provinces have converged in economic terms in the past decades. The second objective is to overcome the problems of model uncertainty and robustness of estimated parameters in growth regressions using cross-section and panel data techniques. For this purpose, we use a Bayesian Model Averaging (BMA) approach. The Bayesian methodology constructs parameter estimates as a weighted average of linear regression estimates for every possible combination of included variables. The weight of each regression estimates is given by the posterior probability of each model. This technique allows us to obtain parameter estimates that are robust to model specification.

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Bibliographic Info

Paper provided by Instituto de Estudios Fiscales in its series Working Papers with number 13-03 Classification-JEL : O4, H5, C11.

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Handle: RePEc:hpe:wpaper:y:2003:i:13

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Keywords: Growth; Convergence; Public Investment; Bayesian Model Averaging;

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Citations

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Cited by:
  1. Patricia Prüfer & Gabriele Tondl, 2009. "The FDI-Growth Nexus in Latin America: The Role of Source Countries and Local Conditions," DEGIT Conference Papers c014_025, DEGIT, Dynamics, Economic Growth, and International Trade.
  2. Jesus Crespo-Cuaresma & Neil Foster-McGregor & Robert Stehrer, 2009. "The Determinants of Regional Economic Growth by Quantile," wiiw Working Papers 54, The Vienna Institute for International Economic Studies, wiiw.
  3. Eicher, Theo S. & Papageorgiou, Chris & Roehn, Oliver, 2007. "Unraveling the fortunes of the fortunate: An Iterative Bayesian Model Averaging (IBMA) approach," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 494-514, September.
  4. Daniele VITTORIO, 2009. "Public Spending And Regional Convergence In Italy," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(2(8)_Summ).
  5. Magnus, Jan R. & Powell, Owen & Prüfer, Patricia, 2010. "A comparison of two model averaging techniques with an application to growth empirics," Journal of Econometrics, Elsevier, vol. 154(2), pages 139-153, February.
  6. DANIELE, Vittorio, 2009. "Development Policy, Public Spending and Regional Convergence in Italy (1996-2007)," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 9(2).

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