the first to develop a united framework for the three problems (interpolation, extrapolation and distribution) of …

general but avoids the computational problems of a full-blown single model. Our approach differs from classical interpolation … interpolation, may fit very well in sample, but it is not useful for out-of-sample forecasts. As applications of linking series …

Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series … develop an interpolation method that exploits the estimated factors as an efficient summary of all the available information … interpolation but again be reduced with multivariate approaches, including factor-based ones. …

al. (2005), which handles unbalanced data sets in an efficient way. We extend the model to integrate interpolation and …

intra-annual fiscal information for interpolation purposes allows us to capture genuine intra-annual "fiscal" dynamics in …

the Kalman filter technique nesting a great variety of interpolation setups. We evaluate competing models and provide a …