We incorporate learning in a standard dynamic stochastic general equilibrium model along two empirically-supported dimensions. First, we assume that agents cannot directly observe the individual components of the productivity shock and instead must conduct signal extraction exercises and update...

Countries and international organizations working on longer-range development issues depend on long-term quantitative projections and scenario analysis. Such forecasting has become increasingly challenging, thanks to the rapid pace of globalization, technological progress, the interplay among...

In this work, we investigate the interrelations among technology, output and employment in the different states of the U.S. economy (recessions vs. expansions). More precisely, we estimate different threshold vector auto-regression (TVAR) models with TFP, hours, and GDP, employing the latter as...

In the Structuralist-Keynesian approach, economic growth is a cumulative causation process driven by a continuous interaction between macroeconomic and technological dynamics, involving several structural variables. In this context, labour productivity is both an input of the growth process,...