This paper proposes a strategy to increase the efficiency of forecast combination. Given the availability of a wide range of forecasts for the same variable of interest, our goal is to apply combining methods to a restricted set of models. To this aim, a hierarchical procedure based on an...

This paper proposes a strategy to increase the efficiency of forecast combining methods. Given the availability of a wide range of forecasting models for the same variable of interest, our goal is to apply combining methods to a restricted set of models. To this aim, an algorithm procedure based...

This study represents a first attempt to empirically analyze the role of firm heterogeneity in regional business cycle behaviour. Working with monthly Italy's firms data and estimating a random effects ordered probit model, we first document sizable asymmetries in Northern and Southern firms...

Building on the literature on regularization and dimension reduction methods, we have developed a quarterly forecasting model for euro area GDP. This method consists in bridging quarterly national accounts data using factors extracted from a large panel of monthly and quarterly series including...

Current account (CA) dispersion within European Union (EU) member states has been increasing progressively since the 1990s. Interestingly, the persistent deficits in many peripheral countries have not been accompanied by a significant growth process able to stimulate a long run rebalancing as...