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The Determinants of Regional Economic Growth by Quantile

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  • Jesus Crespo-Cuaresma
  • Neil Foster-McGregor

    ()
    (The Vienna Institute for International Economic Studies, wiiw)

  • Robert Stehrer

    ()
    (The Vienna Institute for International Economic Studies, wiiw)

Abstract

We analyse the robustness of potential determinants of the differences in the long-run growth rate of GDP per capita across EU regions using quantile regression. We propose using Bayesian Model Averaging (BMA) methods on the class of quantile regression models in order to assess the set of relevant covariates in cross-regional growth regressions allowing for different effects across quantiles of the growth variable. The results indicate that the set of robust growth determinants differs across quantiles. The set of robust variables includes skill endowment and initial GDP per capita when not and physical investment when taking country fixed effects into account. However, even when a variable is found to be robust across quantiles the estimated impact on growth of that variable is often found to differ across the quantiles.

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Bibliographic Info

Paper provided by The Vienna Institute for International Economic Studies, wiiw in its series wiiw Working Papers with number 54.

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Length: 28 pages including 7 Tables and 4 Figures
Date of creation: May 2009
Date of revision:
Publication status: Published as wiiw Working Paper
Handle: RePEc:wii:wpaper:54

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Keywords: economic growth; Bayesian Model Averaging; quantile regressions;

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Cited by:
  1. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
  2. Gilles Dufrenot & Valerie Mignon & Charalambos Tsangarides, 2010. "The trade-growth nexus in the developing countries: a quantile regression approach," Review of World Economics (Weltwirtschaftliches Archiv), Springer, vol. 146(4), pages 731-761, December.

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