Output gap estimates at the current edge are subject to severe revisions. This study analyzes whether monetary aggregates can be used to improve the reliability of early output gap estimates as proposed by several theoretical models. A real-time experiment shows that real M1 can improve output...

Analyzing US macro data via a structural vector-autoregressive model, Deleidi and Mazzucato (2021) find strong positive spillover of mission-oriented government spending on private research and development activity and on overall economic dynamism ("crowding in"). However the result hinges on...

Consideration of latent heterogeneity is of special importance in non linear models for gauging correctly the effect of explaining variables on the dependent variable. This paper adopts the stratified model-based clustering approach for modeling latent heterogeneity for panel probit models....

The EU's macroeconomic surveillance mechanism, namely the Macroeconomic Imbalance Procedure (MIP), is based on the so-called Scoreboard, which comprises a set of indicators that serve as a signalling device for potentially harmful macroeconomic developments. We first evaluate the early warning...

Due to their well-known indeterminacies, factor models require identifying assumptions to guarantee unique parameter estimates. For Bayesian estimation, these identifying assumptions are usually implemented by imposing constraints on certain model parameters. This strategy, however, may result...