We discuss here a method for identifying relationships between high-frequency and lowfrequency data based on a dynamic regression technique. This allows users to estimate a quarterly analogue to an underlying monthly regression equation. The resulting equation which may be non-linear in the...

The article proposes an iterative algorithm for the estimation of fixed and random effects of a nonlinearly aggregated mixed model. The latter arises when an additive Gaussian model is formulated at the disaggregate level on a nonlinear transformation of the responses, but information is...

This paper assesses the statistical reliability of different measures of the output gap - the multivariate Hodrick-Prescott Filter, the multivariate unobserved components method and the structural vector autoregressive model - in the Euro area. Three criteria are used: the consistency of...

This paper proposes a new non-linear parametric model, called the Dynamic Cyclical Convergence Model (DCCM), to measure and test the convergence between two cycles. This model combines unobserved component models with time-varying parameter models. The convergence is characterised by two...