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The determinants of regional economic growth by quantile
[Zeitschriftenartikel]
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... mehr
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.... weniger
Klassifikation
Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik
Raumplanung und Regionalforschung
Volkswirtschaftslehre
Freie Schlagwörter
Regional Growth; Bayesian Model Averaging; Quantile Regression; C11; C21; R11
Sprache Dokument
Englisch
Publikationsjahr
2010
Seitenangabe
S. 809-826
Zeitschriftentitel
Regional Studies, 45 (2010) 6
DOI
https://doi.org/10.1080/00343401003713456
Status
Postprint; begutachtet (peer reviewed)
Lizenz
PEER Licence Agreement (applicable only to documents from PEER project)