Population ageing constitutes a central challenge to Finland. Understanding the Finnish economy's likely future trajectory and the key sources of growth is important for the design of policies to counteract these adverse long-term trends. For this purpose, we develop a novel long-run forecast...

This article surveys both earlier and recent research on recession forecasting with probit based time series models. Most studies use either a static probit model or its extensions in order toestimate the recession probabilities, while others use models based on a latent variable ap-proach to...

We propose a new Bayesian VAR model for forecasting household loan stocks in Finland. The model is designed to work as a satellite model of a larger DSGE model for the Finnish economy, the Aino 2.0 model. The forecasts produced with the BVAR model can be conditioned on projections of several...