This paper considers forecasting life table, and proposes a model averaging approach to improve point and interval forecast accuracy. Illustrated by data of eleven countries, we compare point and interval forecasts among ten principal component and two random walk methods. Based on averaged...

Macroeconomic forecasting using factor models estimated by principal components has become a popular research topic with many both theoretical and applied contributions in the literature. In this paper we attempt to address an often neglected issue in these models: The problem of outliers in the...

This paper aims to introduce a nonlinear model to forecast macroeconomic time series using a large number of predictors. The technique used to summarize the predictors in a small number of variables is Principal Component Analysis (PC), while the method used to capture nonlinearity is artificial...

This paper analyses the impact of the speed of transition reforms on economic growth in transition countries in the context of the debate big-bang versus gradualist approach. It builds a new indicator for the speed of transition reforms based on a three-way principal component analysis. It shows...

We derive the asymptotic distribution of the eigenvalues of a sample covari- ance matrix with distinct roots. Our theorem can accommodate the situation in which the population covariance matrix is estimated via its sample analogue as well as the more general case in which it is estimated via a...