We present new results for the likelihood-based analysis of the dynamic factor model that possibly includes intercepts and explanatory variables. The latent factors are modelled by stochastic processes. The idiosyncratic disturbances are specified as autoregressive processes with mutually...

We introduce a Combined Density Nowcasting (CDN) approach to Dynamic Factor Models (DFM) that in a coherent way accounts for time-varying uncertainty of several model and data features in order to provide more accurate and complete density nowcasts. The combination weights are latent random...

See also <I>Proceedings of Banca d' Italia Public Finance Workshop on "Rules and Institutions for Sound Fiscal Policy after the Crisis"</I> (pp. 443-475). Rome: Banca d'Italia.<P> and<P> 'From Budgetary Forecasts to Ex Post Fiscal Data: Exploring the Evolution of Fiscal Forecast Errors in the European Union'...</p></p></i>

Federal Reserve nonborrowed reserve supply systematically responded to changes in inflation and in the output gap over the period 1969-2000. While the feedback from output gap is always negative, the response of money supply to changes in inflation varies considerably across time. Nonborrowed...