Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...

Using meta-analytical techniques, we focus on 11 studies that explicitly measure the effect of a net migration variable in neoclassical convergence models and derive 57 comparable effect sizes. The data suggest that an increase in the net migration rate of one percentage point increases on...

This paper concerns estimating parameters in a high-dimensional dynamic factormodel by the method of maximum likelihood. To accommodate missing data in theanalysis, we propose a new model representation for the dynamic factor model. Itallows the Kalman filter and related smoothing methods to...