RT Journal Article
T1 How powerful are network effects? A skill-biased technological approach.
A1 Afonso, Óscar
A1 Ferreira-de-Magalhaes, Rosinda Manuela
K1 Trabajo cualificado
K1 Desarrollo económico
AB ven for the standard skill-biased technological change (SBTC) literature, the generic rise in the skill premium in the face of the relative increase in skilled workers since the 1980s seems a little puzzling. We develop a general equilibrium SBTC growth model that allows the dominance of either the price channel or the market-size channel mechanism through which network spillovers affect the technological-knowledge bias and, thus, the paths of intra-country wage inequality. The proposed mechanisms can accommodate facts not explained by the earlier literature.
PB Cambridge University Press
YR 2020
FD 2020
LK https://hdl.handle.net/10630/37607
UL https://hdl.handle.net/10630/37607
LA spa
NO https://www.cambridge.org/core/services/open-research/green-open-access-policy-for-journals
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 4 mar 2026