Álvarez González, IsabelDi Caprio, DéboraSantos Arteaga, Francisco Javier2023-06-182023-06-1820162029-491310.3846/20294913.2015.1033663https://hdl.handle.net/20.500.14352/23573We study an endogenous stochastic growth model whose dynamic evolution is determined by an adaptive learning process defining the accumulation of technological knowledge within countries. Both the assimilation of technological knowledge and the arrival rate of innovations depend on the technological development level of countries. We illustrate how heterogeneous levels of technological development provide laggard countries with insufficient innovation incentives, leading to divergences in total factor productivity and their technological stagnation. The model is simulated numerically using data from the current Innovation Union Scoreboard where the main expected growth patterns of the Baltic States are compared to those of the reference innovators within the European Union area.engAtribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/journal articlehttps://doi.org/10.3846/20294913.2015.1033663open access338.3(474)338.1(474)O31O33Technology assimilationLearningStochastic growthNational innovation systemTechnological developmentEconomic crisisBaltic statesEuropean UnionCrisis económicasDesarrollo económicoEconometría (Economía)Economía internacional5307.06 Fluctuaciones Económicas5307.03 Modelos y Teorías del desarrollo Económico5307.04 Estudios del desarrollo Económico5302 Econometría5310 Economía Internacional