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The determinants of regional economic growth by quantile

[journal article]

Crespo-Cuaresma, Jesus; Foster, Neil; Stehrer, Robert

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Abstract We analyse the robustness of potential determinants of 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 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. 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.
Classification Political Economy; Area Development Planning, Regional Research; Economic Statistics, Econometrics, Business Informatics
Free Keywords Regional Growth; Bayesian Model Averaging; Quantile Regression; C11; C21; R11
Document language English
Publication Year 2010
Page/Pages p. 809-826
Journal Regional Studies, 45 (2010) 6
Status Postprint; peer reviewed
Licence PEER Licence Agreement (applicable only to documents from PEER project)