We compare sparse and dense representations of predictive models in macroeconomics, microeconomics and ftnance. To deal with a large number of possible predictors, we specify a prior that allows for both variable selection and shrinkage. The posterior distribution does not typically concentrate...

This paper exploits a recent and granular data set for 1,500 German LSIs to conduct a residential mortgage stress testing exercise. To account for model uncertainty when modeling PD dynamics we use a benchmark-constrained Bayesian model averaging approach that combines standard BMA with a...

This paper analyses the dynamics of labour productivity across Italian Provinces in the period 1995-2006. Inequality decreased but a clear pattern of polarization emerged, with the formation of a cluster of high-productive provinces in the North and Center-West of Italy and a cluster of...

This paper analyses the dynamics of labour productivity across Italian Provinces in the period 1995-2006. Inequality decreased but a clear pattern of polarization emerged, with the formation of a cluster of high-productive provinces in the North and Centre-West of Italy and a cluster of...

This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors...

This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors...

This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsi- monious mixture modeling that allows for fat-tailed errors...

Spatial interaction models of the gravity type are used in conjunction with sample data on flows between origin and destination locations to analyse international and interregional trade, commodity, migration and commuting patterns. The focus is on the classical log-normal model version and...

Using a spatial systems estimator to incorporate spatial interactions and endogeneity of income levels and migration, this paper finds a positive effect of migration on cohesion within the European Union on the NUTS 2 level. As migration can generally be observed from low to high income regions,...