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...

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...

Research about users as a source of innovation has been largely restricted to case studies exploring specific innovation projects at the firm level. This study assesses empirically the relationship between external end users’ knowledge as an input factor to innovation and firms’ innovation...

This paper investigates the R&D persistence of R&D active firms in different markets with different intensities of competition, based on firm-level panel data for the period 1996-2008. In a dynamic setting of the empirical model it turns out that persistence is strongly related to market...