The Determinants of Regional Economic Growth by Quantile
AbstractWe 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 InfoPaper provided by The Vienna Institute for International Economic Studies, wiiw in its series wiiw Working Papers with number 54.
Length: 28 pages including 7 Tables and 4 Figures
Date of creation: May 2009
Date of revision:
Publication status: Published as wiiw Working Paper
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-12-05 (All new papers)
- NEP-EEC-2009-12-05 (European Economics)
- NEP-FDG-2009-12-05 (Financial Development & Growth)
- NEP-GEO-2009-12-05 (Economic Geography)
- NEP-SBM-2009-12-05 (Small Business Management)
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