Principal Components can account for a large part of the variance of unemployment between and within countries. We then use …

The paper applies methods of functional data analysis – functional auto-regression, principal components and … prediction purposes as opposed to either principal components or canonical correlations. Based on this tool, the paper provides a …

cap-floor volatilities. We use linear and non-linear factor models and VAR¡¦s. The results show that the first principal … components, both linear and non-linear, do a very good job in explaining the dynamics of the volatility curve and but there is …

Principal components are a well established tool in dimension reduction. The extension to principal curves allows for …

of this hydrocarbon fuel. In this paper we apply the Principal Components (PC) method to modelling the load curves of …

paper then proposes an alternative methodology using Principal Components Analysis and argues that this is an improvement …

economies.Using principal components to decompose reform variables and construct reform clusters, we address unsettled issues …

alternative estimation approaches based, respectively, on static and dynamic principal components. The new method appears to … perform best in recovering the factors in a set of simulation experiments, with static principal components a close second … best. Dynamic principal components appear to yield the best fit, but sometimes there are leakages across the common and …