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- W2028752521 abstract "Numerous papers have searched for empirical linkages between long run economic growth and a myriad of economic, socio-political and environmental factors. Most of these studies use ordinary least-squares regression or panel regression analysis on a sample of countries and therefore consider the behaviour of growth around the mean of the conditional distribution. We extend the literature by using quantile regression to analyse long-term growth at a variety of points in the conditional distribution. By using this approach, we identify the determinants of growth for under performing countries relative to those for over achieving countries." @default.
- W2028752521 created "2016-06-24" @default.
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- W2028752521 date "2004-04-15" @default.
- W2028752521 modified "2023-09-26" @default.
- W2028752521 title "Under Performers and Over Achievers: A Quantile Regression Analysis of Growth" @default.
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