The paper combines Baumol's model of structural change with a model of aggregate demand growth in the Keynesian-Kaleckian tradition to predict the dynamics of aggregate employment. The model for the demand regime is estimated with - and Baumol's model for the productivity regime is calibrated on...

Der Beitrag verwendet das Modell des "unbalancierten Wachstums" von Baumol (1967), um zu zeigen, dass sich ökonomische Probleme reifer Volkswirtschaften - wie die Abschwächung des Wirtschaftswachstums, der Anstieg der Staatsquote und die "Kostenexplosion" im Gesundheitswesen - zwar erklären,...

Adaptive learning introduces persistence in the evolution of agents' beliefs over time. For applied purposes this is a convenient feature to help explain why economies present sluggish adjustments towards equilibrium. The pace of learning is directly determined by the gain parameter, which...

There is a growing interest in studying the disagreement of economic agents. Most studies, however, focus on the disagreement regarding one specific variable, hereby neglecting that disagreement may be comoving with disagreement on other variables. In this paper we explore to which extent...

We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on inflation and growth. We find that the Least Squares with constant gains adjusted to match (past) survey forecasts provides the best overall performance both in terms of forecasting...