In this paper we evaluate whether the accuracy of Finnish unemployment rate forecasts can be improved by utilising the information in the flows into and out of unemployment. We compare and contrast different methodologies for constructing the flows. Our results indicate that Bayesian vector...

This paper presents the New Keynesian Phillips Curve (NKPC) -based framework for analysing euro area inflation outlook. Our NKPC specification, that relies on market- and survey-based inflation expectations, explains well euro area inflation dynamics. Its forecasting performance is also...

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...

We analyse the performance of financial market variables in nowcasting Finnish quarterly GDP growth. Especially, we assess if prediction accuracy is affected by the sampling frequency of the financial variables. Therefore, we apply MIDAS models that allow us to forecast quarterly GDP growth...

In this paper we analyze features of the recent business cycle with a New Keynesian small open economy DSGE model with labour market frictions and wage rigidity. The model complements the existing analytical tools of the Bank of Finland by enabling detailed analysis of labour markets in a DSGE...