This paper examines structural changes in the Italian manufacturing sector, focusing labour productivity in recent decades. To this end it distinguishes between trend movements in the data using a multivariate unobserved components model. Changes relative importance of cyclical and trend...

This paper examines structural changes in the Italian manufacturing sector, focusing on labour productivity in recent decades. To this end it distinguishes between trend and cyclical movements in the data using a multivariate unobserved components model. Changes in the relative importance of...

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...