This study explores the impact of higher education on growth in 11 new EU members over the period 2000–2016 using an augmented MRW‐type model which takes into account the quality of education and vertical mismatch. More precisely, it tests whether the accelerating increase of college graduates causes an oversupply of educated labour which, in turn, extends the qualification mismatch and adversely affects growth of per capita income. We find that an increase of the most educated labour force does not per se lead to a higher growth rate. The impact of human capital becomes positive and statistically significant only if graduates with occupations requiring tertiary education are considered in the model. In addition, the econometric outcome implies that the extent of skill mismatch is determined primarily by the rising female population with college education and the gross value added of trade‐related services.
We establish the properness of some classes of binary block codes with symmetric distance distribution, including Kerdock codes and codes that satisfy the Grey-Rankin bound, as well as the properness of Preparata codes, thus augmenting the list of very few known proper nonlinear codes.
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